You spend money getting someone to your website.

You write the landing page. Refine the offer. Make sure the CTA is impossible to miss.

And then, right when the visitor is finally interested, you hand them a form asking for their name, email, phone number, company, job title, employee count, annual revenue, country, industry, and perhaps a small autobiography while they’re there.

Then everyone wonders why people leave.

Make the form unnecessarily difficult and good prospects abandon it. Strip away every field, and you may get more submissions but also more leads your sales team doesn’t particularly want.

So the goal of lead generation form optimization is getting more of the right people through it, with as little unnecessary friction as possible.

We’ll look at how to do just that – where people struggle, how to reduce friction and build trust, and how to make forms work better on mobile.

What is lead generation form optimization?

Lead generation form optimization is the process of improving your form so more qualified prospects (who are more likely to turn into paying customers) complete it.

That can mean changing the number of fields, the questions you ask, the form layout, CTA copy, error messages, trust signals, mobile experience, or even what happens before someone reaches the form.

A better way to think about form optimization is to balance two things:

• Conversion friction: How much effort, uncertainty, or hesitation does someone experience while completing the form?
• Lead quality: Are you collecting enough information to identify and properly handle the prospects who are actually a good fit?

Sometimes removing a field improves both. Sometimes asking one additional question reduces total submissions but gives sales far better leads.

That’s why there isn’t a universally “perfect” lead generation form with three fields, one green button, and precisely seven words of copy.

The right form depends on what you’re asking the visitor to do, what they’re getting in return, how much they already know about you, and what information your team genuinely needs after they click the button.

Before optimizing your lead generation form, diagnose what’s wrong

Before you delete fields or rewrite the CTA, find out where the form is actually failing.

A low form conversion rate can hide very different problems.

Few visitors start the form

If people see the form but don’t interact with it, the fields may not be the problem.

Look at the offer, the copy around the form, its placement, and what you’re asking visitors to do. Have you made it clear what they’ll get in return? Do they know what happens after they submit?

If someone has to provide their phone number, company size, and annual revenue just to discover what “Get Started” means, some hesitation is understandable.

Visitors start but don’t finish

Now the form itself deserves more scrutiny.

Start by comparing how many people begin the form with how many actually submit it. In GA4, the form_start and form_submit events can track those interactions, so you can calculate completion and abandonment rather than relying on the overall page conversion rate alone.

If 500 people start a form and only 300 submit it, for example, your completion rate is 60% and 40% are dropping out somewhere along the way.

That said, analytics will only tell you where people drop off.

To know the “why” behind this, you need to perform behavioral research. For example, you can use FigPii session recordings and heatmaps to see whether visitors hesitate at a particular field, repeatedly trigger an error, or abandon the form at the same point.

If you want to dig deeper into using both types of data together, we’ve covered that in our guide to qualitative vs. quantitative research.

Plenty of people submit, but few become qualified leads

This is the nicer-looking problem.

Your conversion rate is healthy. Lead volume is up. Unfortunately, sales doesn’t want most of them.

That’s why form conversion rate shouldn’t be your only measure of success. Track what happens after the submission too: qualified lead rate, sales opportunities, and, ultimately, customers.

Say one form produces 100 leads and 30 are qualified. A shorter version produces 140 leads, but only 20 are qualified.

The second form converts more visitors.

It is also worse at its actual job.

So before optimizing anything, identify the problem: people aren’t starting, people aren’t finishing, or the people finishing aren’t the leads you need.

Once you know that, you can decide what to change.

8 ways to optimize a lead generation form

1. Ask only for information that earns its place

Every field creates a small cost for the visitor, so the information you ask for needs to justify that cost.

HubSpot analyzed more than 40,000 landing pages and found that conversion rates tended to decline as forms asked for more information. Fields requesting things like phone numbers and detailed location were also associated with lower conversion rates.

So should you start deleting fields until you’re left with an email address and good intentions?

No.

The amount you ask for should make sense for both what the visitor is getting and what your business genuinely needs.

For instance, a newsletter signup doesn’t need a phone number, annual revenue, and employee count.

But a request for an enterprise proposal may need more information so the company can qualify the inquiry and send it to the right person.

And simply making a form shorter doesn’t guarantee anything.

In one Invesp experiment, a client tested removing a form field from a lead-generation form, partly because competitors were using shorter forms. The original converted at 4.46%. The shorter variation converted at 4.29% and failed to outperform the control.

Lead generation form test: shorter variation failed to outperform the control.

The result wasn’t statistically conclusive enough to say that removing the fields hurt conversions. But it did show why fewer fields doesn’t always mean a better form.

Instead, go through each field and ask:

• What will we do differently because we know this?
• Does it help us qualify or route the lead?
• Do we need the information now, or could we collect it later?
• Is it reasonable to ask for this given what the visitor receives in return?

If nobody can explain why you’re collecting “Company size,” that’s a good reason to question it.

If the answer determines which sales team handles the inquiry, the field is earning its place.

That’s also why landing page optimization best practices should be treated as hypotheses, not instructions. Your competitors’ forms can give you ideas, but they don’t always tell you what will work for your visitors.

2. Decide whether a single-step or multi-step form makes more sense

Not every form needs multiple steps.

If you’re only asking for a name, email, and phone number, a single-step form is sufficient.

But some lead forms genuinely need more than basic contact details. For example, in some cases you may need to ask about company size, budget, service interest, timeline, location, or project goals before you can qualify the lead or send it to the right person.

That’s where a multi-step form can help.

So use a single-step form when the ask is short and straightforward.

Consider a multi-step form when:

• You need several details. Beyond contact information, you also need things like budget, company size, goals, or timeline.
• The questions fit into groups. For example, ask about the visitor’s needs first, then their company, then their contact details.
• Earlier answers change what you need next. Someone choosing Service A shouldn’t have to answer questions that only apply to Service B.
• The full form looks more intimidating than the actual task. Breaking ten questions into three small stages can make the work easier to understand.

If you do split the form, show people where they are. “ Step 1 of 3″ is useful information. Repeatedly clicking “Next” with no idea when the questions end is less charming.

3. Tell people exactly what happens after they submit

“Contact us” tells people what you want them to do. It tells them almost nothing about what happens next.

Will someone call? Email? How soon? Are they booking a demo or simply requesting more information?

Remove that uncertainty before they submit. HubSpot’s 2026 form guidance similarly recommends telling leads how and when they’ll hear from you after completing a form.

You can go further than simply saying, “We’ll be in touch.”

On Invesp’s consultation page, for example, visitors can book their call immediately and see exactly what those 30 minutes will involve before they commit. They know the site will be reviewed beforehand, what they’ll discuss on the call, and what happens if Invesp isn’t the right fit.

Invesp consultation page showing what happens before and during the 30-minute call.

You don’t need this much detail for every form. But at minimum, tell people what happens next, how it will happen, and roughly when.

No need to end form submission on a cliffhanger.

4. Make the form easy to complete

A form should not make people stop and wonder whether they filled it out correctly.

Small problems can add up fast: unclear error messages, fields that reset after one mistake, awkward dropdowns, or no sign that the information entered was accepted.

We saw this in one Invesp mobile experiment. On the client’s landing pages, 91% of mobile visitors were leaving without submitting the form.

So we tested a simple change: when someone completed a field correctly, a checkmark appeared beside it.

Before-and-after form comparison showing checkmark feedback confirming completed fields.

That version increased form submissions from 6.86% to 8.19% (a 19.39% lift with 96.8% confidence).

The lesson is simple: people shouldn’t have to guess whether the form is accepting what they enter.

A few practical things help:

• Keep labels visible. Don’t make people remember what a field was asking once they start typing.
• Flag errors early. Tell people something is wrong while they’re still on that field, not after they hit submit.
• Explain the fix. “Invalid entry” isn’t enough. Say what needs to change.
• Save correct answers. One mistake shouldn’t wipe out everything they already entered.
• Use proper fields. Set email, phone, date, and number fields correctly so browsers and mobile keyboards can help.
• Enable autofill. If the browser already knows the answer, don’t make people type it again for sport.
• Mark requirements clearly. Make required and optional fields obvious before submission.

Behavior tools can help you find those problems before you decide what to test. If you’re using an all-in-one CRO tool like FigPii, start with session recordings to see whether people repeatedly correct the same field, tap something that doesn’t respond, or leave after an error message.

Those patterns can give you a much stronger test hypothesis. Then, after the A/B test runs, you can go back to the recordings to see whether the new version actually changed the behavior you were trying to fix.

That gives you a much better place to start than deciding the form button might need a more enthusiastic shade of green.

5. Explain why you’re asking for sensitive information

Some fields naturally make people hesitate.

A phone number raises an obvious question: Are you going to call me? Budget can feel intrusive. Revenue and employee count can make someone wonder why you need to know quite so much before you’ve even spoken.

That hesitation is measurable. Baymard’s 2025 research found that 14% of users said they would never give an online store their phone number, and its usability testing found that unexplained phone-number requests caused some people to enter fake information or abandon the process. A short explanation beside the field relieved most of those privacy concerns.

So if the reason isn’t obvious, say it.

Instead of:

Monthly website traffic *

Try:

Monthly website traffic *
This helps us determine whether your site has enough traffic for A/B testing.

Or:

Phone number *
We’ll only use this to contact you about your consultation.

Keep the explanation close to the field. Don’t make someone hunt through your privacy policy to discover why you want their number.

And if you can’t give a convincing reason for asking? That may be a sign you don’t need the field in the first place.

6. Put trust signals where hesitation happens

A testimonial buried halfway down the page can’t do much for someone who’s currently staring at your form wondering whether to hand over their details.

Put reassurance close to the point where the doubt appears.

That might mean:

• Privacy reassurance beside an email or phone field.
• A relevant testimonial next to a consultation or demo form.
• Recognizable customer logos near a high-commitment CTA.
• A specific case-study result when visitors need proof you can actually deliver.
• Security or compliance information when you’re asking for particularly sensitive data.

This isn’t about decorating the form with every trust badge you can find. The proof needs to answer the actual concern.

This is how you approach customer fears, uncertainties, and doubts. First identify what’s making someone hesitate, then provide the information that resolves it.

If the concern is “Will you spam me?”, a client logo isn’t much help. Add a short privacy reassurance explaining how you’ll use their details.

If the concern is “Can this company actually do what it promises?”, a privacy-policy link won’t save the day. Show a relevant testimonial, case-study result, or proof from similar customers.

Put the right proof next to the right doubt.

7. Optimize separately for mobile

A form that feels easy on desktop can become annoying very quickly on a phone.

Typing is slower, the keyboard takes up much of the screen, and long dropdowns or badly configured fields create extra work.

So check your form on an actual phone, not just by shrinking your browser window.

Pay particular attention to:

• Typing effort. Use the right keyboard for email, phone, and number fields.
• Autofill. Let browsers fill known details where possible.
• Dropdowns. Avoid making someone scroll through a heroic list of options when a simpler choice or searchable field would work.
• Errors. Make sure messages stay visible and are easy to fix with the keyboard open.
• Tap targets. Buttons, checkboxes, and links should be easy to hit without precision surgery.

And don’t stop at checking whether mobile converts worse. Watch a few mobile sessions too. In FigPii, for example, you can filter session recordings by device and see where people actually struggle.

Maybe the same dropdown keeps tripping them up, an error message is easy to miss, or the keyboard is covering half the form. Those patterns give you something concrete to fix instead of just knowing “mobile is worse.”

8. Improve your CTA copy without looking for magic words

Your CTA should tell people what they are about to do or get.

This means, instead of:

Submit

You might use:

Get My Quote
Book My Consultation
Download the Guide
See My Results

But don’t assume replacing “Submit” with a livelier verb automatically improves conversions. The offer, page copy, form, and audience all affect how that button performs.

A better rule is: make the action clear, then test the copy if the CTA is important enough to warrant it.

That fits the same principle behind writing effective CTA copy: the button should communicate what the visitor gets or what happens next, not rely on a supposedly magical word.

Your next step: Optimize for lead quality

A good lead generation form shouldn’t ask for everything your sales team might possibly want to know.

It should ask for what you actually need, make those questions easy to answer, and give people enough confidence to finish.

That means looking beyond field count. Watch where people struggle, explain sensitive questions, make the next step clear, and judge success by the quality of the leads you generate.

And when you’re not sure what will work? Research the problem first, then test it. Your visitors are usually more reliable than a list of “form best practices” from the internet.

If your forms are getting traffic but not enough qualified leads, talk to the Invesp team. We can help you find where prospects are dropping off and test what actually improves conversions.

The post Lead Generation Form Optimization: How to Get More Qualified Leads appeared first on Invesp.

• I bet you’d agree that you might lack a certain degree of direction in your testing program when you aren’t clear on your business goals. Essentially, you end up getting pulled in opposite directions — and that can cause a lot of confusion, which then leads to an optimization program that doesn’t add to the business’s growth.

Business Goals and CRO Goals: What’s The Difference?

• In this context, conversion goals and business goals are related. Business goals are quarterly objectives an organization seeks to accomplish after hiring a CRO agency or consultant.
• Business goals represent a company’s larger purpose and work to establish an end goal for a CRO Agency to work toward. Yes, the business goals have to be well defined, but it’s up to the CRO team to figure out the steps needed to achieve the business goals.

What Comes First: Business Goals or Conversion Goals

• In most of the conversion optimization projects we handle, business goals precede conversion goals.
• For instance, clients usually reach out to us already having a (business) goal — like increasing their mobile conversion rate — that they want us to achieve through optimization. And our CRO team conducts conversion research, comes up with a testing hypothesis, and then designs an experiment around that goal.

Aligning Business Goals and CRO Goals

• In the early days of CRO, marketers used to believe that if a CRO program’s outcome is not favorable, then there’s a problem in the alignment of business and conversion goals. But now that everyone knows better. You can have business and conversion goals correctly coordinated and still fail to attain desired results.
• There are 4 simple ways to align business goals and conversion goals; the first is to set realistic business goals, create a CRO roadmap, communicate the goals relentlessly, and avoid distractions, focus on attaining business goals.

Here’s A Longer And More Detailed Version Of The Article.

I bet you’d agree that you might lack a certain degree of direction in your testing program when you aren’t clear on your business goals. 

Essentially, you end up getting pulled in opposite directions – and that can cause a lot of confusion, which then leads to an optimization program that doesn’t add to the business’s growth. 

That’s why it’s important to consider aligning business goals with conversion goals. 

Not just because it will make your CRO program effective and keep it on track, but because it will let you know when and where to invest your effort to achieve favorable results. 

I know that striking a perfect balance between business and conversion goals is difficult, but you can always strike a balance that works for you. 

This article will show you how you can marry your business goals to your conversion goals for a better CRO program. We will give you some actionable steps you can use so that your experiments contribute to your business growth. 

Let’s get started…

Business Goals & Conversion Goals, What’s the Difference?  

In this context, business goals are well-defined quarterly objectives that a business anticipates accomplishing after having engaged a CRO Agency. Examples of business goals are:

• Increasing mobile conversion rate by a certain %, 
• Boosting customer retention, 
• Enhancing average order value, and many more. 

Business goals represent a company’s larger purpose and work to establish an end-goal for a CRO Agency to work toward. Yes, the business goals have to be well defined, but it’s up to the CRO team to figure out the steps needed to achieve the business goals. 

Having business goals is important for several reasons because they:

• Provide a way to measure the success of the CRO Agency you hired.  
• Keep you and your CRO team on the same page as to what needs to be achieved. 
• Ensures that an experiment is headed in the right direction. 

On the other hand, a conversion goal is an objective that is based on an action you want users to take on your website. Like business goals, conversion goals can also be defined by the business. Unlike business goals, the steps taken to achieve the conversion goals are defined by your CRO team.  

Conversion goals can help you measure your marketing or website performance and set benchmarks for improvement. Just as business goals can vary from one company to another, conversion goals can also differ from one website to another or rather from one web page to the next. 

Depending on the type of website, examples of conversion goals for an e-Commerce site can be: 

• Get visitors to purchase, 
• Get visitors to subscribe, 
• Write a review or rating, 
• Sign up for a newsletter 
• Download an eBook. 

Conversion goals can be broken down into two different types: macro and micro goals. The macro goal is the end action you want visitors to take when they land on your website. Micro goals are the small steps that your visitors take to get to the end action (macro) on your site. 

What Comes First: Business Goals or Conversion Goals 

Well, it depends. 

In most of the conversion optimization projects we handle, business goals precede the conversion goals. 

For instance, clients usually reach out to us already having a (business) goal – like increasing their mobile conversion rate – that they want us to achieve through optimization. And our CRO team conducts conversion research, comes up with a testing hypothesis, and then designs an experiment around that goal.  

But in some instances, it can happen the other way round. You can create a conversion goal without a business goal in place. I bet you are wondering how is that possible? 

This scenario often plays out when a conversion opportunity – that a client didn’t even know existed – is identified during a conversion optimization process. 

For instance, let’s say we are optimizing a website to increase conversions by 30% this quarter, and during this process, we notice a conversion opportunity of increasing AOV. 

Knowing that this kind of conversion opportunity exists can trigger a company to have a business goal that is all about increasing the AOV in the next quarter. 

So, no matter what comes first, your goal before designing an experiment is to have these two sets of goals aligned. 

Aligning Business Goals and Conversion Goals

In the early days of CRO, marketers used to believe that if a CRO program’s outcome is not favorable, then there’s a problem in the alignment of business and conversion goals.  

But now that everyone knows better. You can have business and conversion goals correctly coordinated and still fail to attain desired results.

That is what makes CRO so tricky. 

On the other hand, you can have your business and conversion goals correctly intertwined but still achieve results that are not within the company’s main goals. 

For instance, let’s say you want to increase your retention by 30%. And after you have conducted research and designed an experiment, then the only change you notice after that experiment is a decrease in shopping cart abandonment rate, and there’s no increase in your retention rate whatsoever. 

Yes, that can happen often. 

Following the above example, it’s important to note that tests will not always directly impact the ultimate goal. Sometimes, to get to the ultimate goal, your tests have to build on each other. 

So, when building experiments, you have to think about the entire path that leads to your main desired goal. In most complicated cases, you will need more than one experiment to get to your Promised Land. 

On the other side, it’s important to investigate because there might be a lack of continuity in your messaging. Your hypothesis may still be correct, but your implementation of it might be wrong. 

Having said that, here are four simple ways to align your business goals and conversion goals.

Step 1: Set realistic business goals 

Since most experiments are built around business goals, it’s important to make sure that goal is realistic in the first place. In other words, your CRO program will only be effective if the foundation (which is your business goal) is sensible. 

Smart optimizers understand the inherent value of realistic business goals in steering experimentation in the right direction. Unfortunately, most companies set unrealistic goals and then expect CROs to achieve the results. 

But here’s the thing: unrealistic business goals can spoil the whole CRO program. 

At Invesp, we love working with brands that have challenging goals. It’s important to note that there’s a great difference between a challenging and unrealistic goal. We’re selective in terms of brands we work with most based on the goal(s) that the company has. 

Here’s a breakdown of what achievable business goals look like: 

• Doubling your conversion rate 
• Decreasing your shopping cart abandonment rate
• Increasing your retention rate 
• Increasing your mobile conversion rate

Step 2: Define the alignment necessary/Create a CRO roadmap 

Once you have set realistic business goals, it’s time to define the alignment that is necessary for your conversion strategy to be put into action. This means making sure that all of the tests within your CRO program are geared towards achieving the business goals. 

Defining the alignment necessary will involve asking yourself the following questions: 

1. How do you prioritize your experimentation ideas?
2. Do you work in silos, or do you see the benefit in opening up experimentation to collaboration?
3.  If you do see the benefit, how do you plan to go about achieving it? 
4. How do you plan to address resource issues in your testing plan? 

The answer to all these questions points to one strategic move that differentiates CRO experts from beginners – building a CRO roadmap. 

I spoke to one of our Senior CRO Specialists, Hatice Kaya, and asked her how she goes from a business idea to a CRO roadmap. And she gave me this scenario: 

“Suppose your business goal is to increase your mobile conversion rate during the first quarter. The first step is to look at the website’s analytics platform to have a brief understanding of what the mobile conversion rate is at the current moment. Checking your analytics before the conversion process is important because you will know whether you have improved conversions or not at the end of the project. 

The next step is to conduct conversion research with a focus on the mobile experience. By conversion research, I mean you take a deep dive into heuristic evaluations, and we launch video recordings and heatmaps focusing on mobile visitors only. This process of research can take up to three weeks. 

In most cases, if there’s anything that’s affecting conversions on the site, you are more likely to see it during the research phase. And whatever the conversion killer might be, you are more likely to see on almost every conversion research technique you use. 

We then list all the observations we made during the research phase. This list of possible conversion bottlenecks is usually long, it can go from 60 to 80 or even 100. So, we then rank all the issues on the list using our prioritization framework to determine which issues will help us increase the mobile conversion rate.

When we have ranked the issues, that’s when we come up with the conversion goals, launch tests, and see if our hypothesis was correct or not. 

Suppose we noticed that people were not scrolling all the way to the bottom, then we might need to launch a test: long page (original) vs. short page (new design). Suppose we noticed that people were clicking on the wrong areas of the page, then we might need to make it clear where they should be clicking. So, different tests may be launched at the same time or even at different times.”

Building a sustainable CRO roadmap guides your efforts and ensures it systematically contributes towards your business goals at large. Whether you are an agency handling CRO for hundreds of clients or someone who manages CRO for your company, a roadmap will streamline your efforts and maximize throughput by avoiding redundancies and providing a clear step-by-step approach towards optimizing your site. 

I think of a CRO roadmap as a detailed schedule that shows you which experiment has to be launched when, the moment and resources it requires, and the expected results. Having a roadmap will help you ensure that every change, test, and tweak you make add value to the next step and accordingly strengthens it to deliver the desired outcome. With a dedicated roadmap to consult, you don’t rely on hope to get results from a few poorly planned and ill-executed experiments scattered across months.

Step 3: Communicate the goals relentlessly

The business and conversion goals should be shared widely with everyone involved in the optimization process. 

Communicating both sets of goals to all team members is a key part of making sure that everyone is on the same page – and it’s a critical step in aligning business and conversion goals. 

According to Ayat: 

The key here is that any marketing initiative should be tied to a KPI or business goal for the quarter if the company is hoping to achieve it. Rather than having a siloed marketing approach – have a synergy between marketing departments and CRO and sales to make sure they’re all working towards those one or two outlined goals.

At Invesp, we always conduct weekly status meetings with clients to keep them updated about the different experiments, discuss new testing plans, and receive feedback on the current work. This way we keep everyone on the same page during the whole conversion process. 

Step 4: Avoid distractions: focus on attaining business goals 

I know it sounds so basic, but the most successful testing programs are focused on achieving one goal at a time. Experimentation is not the zone of trying to strike two birds with one stone. Doing so comes with a lot of disadvantages such as not knowing what exactly moved the needle. 

If your test is focused on increasing the customer retention rate, so be it. If you are trying to increase customer lifetime value, stick to it. It’s better to launch a few more tests to get to reach the ultimate goal than to have one single test focused on achieving more than one goal. 

With conversion optimization, it’s easy to get distracted along the way. Sometimes when we’re aiming to increase the conversion rate for mobile, there might be some desktop UX fixes that we might encounter along the way, but considering that those don’t align with our goal, so we will have to defer those experiments for later. 

However, as much as you should focus on one goal, sometimes as you are working on an experiment, there’s a high possibility that you can bump into an experimentation idea that will have a long-tail impact on the goal. Although you must be very conscious, it’s important to consider those kinds of projects. 

Conclusion 

Coming up with a testing program isn’t hard to do. I mean the web is full of testing ideas and you’re full of ideas – there is no shortage of inspiration, that’s for sure. But, not every testing idea will be valuable to your business – some ideas are just time-wasters. A solid testing idea or CRO program is not easy to come up with – that I understand. Fortunately for you, you now know how to align your business goals with conversion goals. If you follow the above tips, at least you’re guaranteed not to invest your time and resources on a CRO program that doesn’t add value to your business growth.

The post How To Align Your CRO Goals With Your Business Goals appeared first on Invesp.

What are CRO KPIs?

CRO KPIs are the most important numbers you track to measure whether changes to your website are improving business results.

For example, if you change a product page, simplify a form, test a new headline, or redesign your checkout, you need a way to tell whether that change actually helped. Did more people buy? Did more qualified leads come through? Did more visitors book a demo? CRO KPIs help you answer those questions.

A good CRO KPI should do three things:

• First, it should be clearly tied to a business goal.
• Second, it should be actionable, meaning a team can respond to it and improve it.
• Third, it should be specific enough to show whether a test, page change, or funnel improvement is working.

CRO metrics vs CRO KPIs

Not every metric is a KPI. You can track lots of numbers on a website, including bounce rate, scroll depth, clicks, pageviews, form starts, and add-to-carts. But a KPI is different. A KPI is a metric that helps you align your CRO goals to business goals.

If your goal is to increase revenue, your KPI might be purchase conversion rate, revenue per visitor, or average order value. If your goal is to generate better leads, your KPI might be qualified lead rate rather than just total form submissions. If your goal is to improve SaaS growth, you might track trial signup rate, activation rate, or trial-to-paid conversion.

11 CRO KPIs that actually matter

KPIs that measure revenue and conversions

These are the KPIs closest to the result most teams actually care about: more sales, more qualified signups, more demo bookings, or more revenue from the traffic they already have.

1. Conversion rate

Conversion rate is the percentage of visitors who complete the main action you want them to take, such as making a purchase, submitting a form, booking a demo, or starting a trial.

It’s often the first KPI teams look at because it’s one of the clearest ways to measure whether a page, funnel step, or test is performing better.

Here’s how to calculate the conversion rate:

Conversion rate = conversions ÷ total visitors × 100

For example, if 5,000 people visit a page and 150 of them complete the main action, your conversion rate is 3%.

Where to get it:

You can use GA4 to find your conversion numbers.

In GA4, use:

• Reports → Monetization → Ecommerce purchases if the conversion is a purchase

• Explore → Funnel exploration if you want to measure how many people moved from one step to the next and completed the final action

• Reports → Engagement → Events if you want to check how many times a form submit, signup, demo request, or other tracked action happened. Then compare that number with your page visitors or users for the same period. Google’s GA4 help describes engagement reporting and event-based measurement as the basis for this kind of analysis.

2. Revenue per visitor

Revenue per visitor shows how much revenue your site generates, on average, from each visitor. It is useful because it tells you whether your site is making more money from the traffic it already gets, not just whether more people are converting.

Formula: Revenue per visitor = total revenue ÷ total visitors

For example, if your site generates $12,000 in revenue from 4,000 visitors, your revenue per visitor is $3.

Where to find it:

In GA4, go to Reports → Monetization → Ecommerce purchases to get your revenue number.

Next, go to Reports → Acquisition → Traffic acquisition to get your visitors for the same date range.

Finally, divide revenue by visitors to get revenue per visitor.

3. Average order value

Average order value shows how much each completed order is worth. It helps you understand whether customers are spending more when they buy, not just whether more people are placing orders.

This KPI is especially useful when testing bundles, upsells, cross-sells, free shipping thresholds, pricing presentation, or cart offers. In all of those cases, the goal is not only to get more orders but also to increase the value of each order.

Formula:

Average order value = total revenue ÷ total number of orders

For example, if your store made $10,000 from 200 orders, your average order value is $50.

Where to find it:

In Shopify, go to Analytics and look for Average order value on the dashboard.

Shopify average order value metric (Source)

In GA4, you may not see this metric clearly in the default report. The easiest option is to pull purchase revenue from Reports → Monetization and divide it by the number of purchases/orders for the same date range.

4. Lead conversion rate/demo booking rate/trial signup rate

This KPI shows the percentage of visitors who take the next step you want them to take, such as submitting a lead form, booking a demo, or signing up for a trial.

For B2B, lead gen, and SaaS companies, this KPI is often more useful than purchase conversion rate because the website usually does not close the sale on the first visit. Its job is to get the visitor to take the next step, such as submitting a form, booking a demo, or starting a trial. Since revenue happens later, the purchase conversion rate is often too far removed from the page or test you are trying to evaluate.

Formula:

Lead conversion rate = leads ÷ total visitors × 100
Demo booking rate = demo bookings ÷ total visitors × 100
Trial signup rate = trial signups ÷ total visitors × 100

If 2,000 people visit your page and 80 book a demo, your demo booking rate is 4%.

Where to find it:

First, make sure GA4 is tracking the action you care about.

For example, if you want to measure form submissions or demo bookings, you need to set up that action as an event in GA4. Google explains that you need to either identify an existing event or create one, then mark it as a key event if it represents an important business action.

Once that is in place:

• Go to Reports → Engagement to check whether your form submit, demo request, or signup event is being recorded
• Go to Reports → Acquisition → Traffic acquisition to get your visitors for the same date range
• Divide conversions by visitors to get the conversion rate

If you want to see how people move through multiple steps before converting, use Explore → Funnel exploration. That is the report built for step-by-step journeys and drop-offs.

KPIs that show where people move forward or drop off in the funnel

These KPIs help you see where people drop off in the funnel. A low overall conversion rate tells you the site is underperforming. These metrics help you see whether the problem is on the product page, in the cart, in checkout, or inside the form.

1. Add-to-cart rate

Add-to-cart rate shows the percentage of product page visitors who add an item to their cart. This is one of the clearest ways to judge whether your product page is doing its job.

Formula:
Add-to-cart rate = add-to-cart actions ÷ product page visitors × 100

If 1,000 people view a product page and 80 add the item to cart, the add-to-cart rate is 8%.

Where to find it:
In GA4, find your add_to_cart event and compare it with the number of product page visitors for the same date range.

What it helps you understand:
If traffic is reaching the product page but few people add to the cart, the problem is often on the page itself. The issue may be unclear product information, weak images, missing reviews, price shock, shipping concerns, or low trust.

2. Cart-to-checkout rate

Cart-to-checkout rate shows the percentage of users who move from cart to checkout.

Formula:
Cart-to-checkout rate = checkout starts ÷ carts created × 100

If 500 users add something to cart and 250 start checkout, the cart-to-checkout rate is 50%.

Where to find it:
In GA4, compare your begin_checkout event with your cart-related event count for the same period.

What it helps you understand:
This tells you whether people who show buying intent are motivated enough to continue. If this number is weak, the friction is often in the cart: unexpected shipping costs, unclear totals, distracting coupon fields, weak trust signals, or a poor cart experience.

3. Checkout completion rate

Checkout completion rate shows the percentage of users who complete their purchase after starting checkout.

Formula:
Checkout completion rate = purchases ÷ checkout starts × 100

If 300 users start checkout and 180 complete their purchase, the checkout completion rate is 60%.

Where to find it:
In GA4, compare your purchase event with your begin_checkout event for the same date range.

What it helps you understand:
This KPI helps you isolate friction inside checkout. If lots of users start checkout but too few finish, the problem may be forced account creation, too many fields, payment issues, lack of delivery clarity, or weak trust near the final step.

4. Form completion rate

Form completion rate shows the percentage of users who submit a form after starting it.

Formula:
Form completion rate = form submissions ÷ form starts × 100

If 120 people start a form and 60 submit it, the form completion rate is 50%.

Where to find it:
In GA4, this works only if both form start and form submit are being tracked as events. Then compare submissions with starts for the same date range.

What it helps you understand:
This KPI helps you spot friction inside the form itself. If many users start but few finish, the issue is often form length, unclear fields, privacy concerns, poor mobile UX, or too much effort required.

Depending on the funnel, you may also track form start rate, landing page conversion rate, onboarding completion rate, or other step-by-step funnel metrics. But the four above are usually enough to show where people are moving forward and where they are dropping off.

KPIs that measure lead quality

Once you know the lead volume, you need to decipher whether that person works at the right company, has a problem you can solve, can afford your product, or is ready to speak to sales.

That’s why lead volume should never be the only number used to judge a B2B landing page. In HubSpot’s 2026 marketing data, 40% of marketers named lead quality and marketing-qualified leads as their most important measure of success.

Before calculating lead quality, marketing and sales must agree on what a qualified lead looks like.

Use two sets of criteria:

• Fit: industry, company size, location, job role, revenue, or another requirement for becoming a customer
• Buying intent: requested a demo, asked about pricing, described an active problem, or showed another sign that the need is real

Once those criteria are clear, track these KPIs.

1. Qualified lead rate

The qualified lead rate shows the percentage of form submissions that meet your agreed-upon fit and buying-intent criteria.

Formula:
Qualified lead rate = qualified leads ÷ total leads × 100

Suppose a landing page generates 100 leads. Sales reviews them and finds that only 20 match your target customer and have a genuine need. Your qualified lead rate is 20%.

Now suppose a new version of the page generates only 80 leads, but 32 qualify. Its qualified lead rate is 40%.

The second page produces fewer form submissions, but twice as many qualified leads. Judging the test only by form conversion rate would lead you to choose the wrong version.

Where to find it:
Go to CRM → Leads. Filter the leads by the date they were created, then filter the lead stage to Qualified. Divide the number of qualified leads by all leads created during the same period.

You can also compare the qualified lead rate by:

• landing page
• traffic source
• campaign
• form
• test variation

This helps you see which pages and campaigns bring in people who sales can actually work with.

Lead-to-opportunity rate

Lead-to-opportunity rate shows what percentage of leads progress far enough for sales to create a real deal or opportunity.

Formula:
Lead-to-opportunity rate = leads that become opportunities ÷ total leads × 100

If your site generates 200 leads and 20 later become sales opportunities, your lead-to-opportunity rate is 10%.

This is more useful than the qualified lead rate alone because it checks whether the leads actually progress after sales review them. A lead may appear suitable on paper, but never reply, have no current budget, or have no serious purchase plan.

Where to find it:
In your CRM, pull all leads created during a set period. Then count how many of those same leads later entered the Opportunity stage or had a deal created.

Do not compare leads created this week with opportunities created this week. A lead may take several weeks to progress. Instead, follow one group of leads over a suitable period, such as 30, 60, or 90 days, depending on your sales cycle.

3. Lead-to-customer rate

Lead-to-customer rate shows what percentage of leads eventually become paying customers.

Formula:
Lead-to-customer rate = new customers ÷ total leads × 100

If 500 leads were generated and 15 eventually became customers, the lead-to-customer rate is 3%.

This is the clearest test of lead quality, but it takes longer to measure. You cannot judge it immediately after launching a page because many leads will still be moving through the sales process.

Where to find it:
In your CRM, select the leads generated during a specific period. Then check how many of those leads later reached Customer or Closed won status.

Break the result down by page, campaign, traffic source, and test variation. This can reveal that one page generates many form fills but few customers, while another brings in fewer leads that close at a much higher rate.

How to choose the right CRO KPI for a test or initiative

The right KPI depends on what you are trying to change.

A checkout test, a lead-generation landing page, and a SaaS onboarding redesign should not all be judged by the same number. Before you launch anything, start by deciding what business result the change is supposed to improve. Then choose the metrics that will tell you whether that happened, why it happened, and whether you created a new problem somewhere else.

A simple framework is:

Business goal → Primary KPI → Diagnostic KPIs → Guardrail KPIs → Relevant segments

1. Start with the business goal

Do not start by asking, “What metrics can we track?”

Start with:

What result are we trying to improve?

For example,

• Increase revenue – Generate more revenue from the same amount of traffic
• Increase qualified demos – Get more demo requests from companies that fit your target customer
• Improve onboarding completion – Get more new users through the steps they need to start using the product
• Reduce abandonment – Get more people who start a cart, checkout, form, or signup flow to finish it

Next, be specific.

“Increase conversions” is usually too broad.

For an ecommerce checkout project, a more useful goal might be:

Increase the percentage of people who start checkout and complete a purchase.

For a B2B landing page:

Increase the number of qualified demo requests without lowering lead quality.

For a SaaS onboarding flow:

Increase the percentage of new trial users who complete the setup steps required to use the core feature.

2. Pick one primary KPI

Your primary KPI is the metric you will use to assess whether the change achieved its goal.

The primary KPI should match the result the test is supposed to change.

For example:

Why choose one?

Because a test can move several metrics in different directions.

Imagine you shorten a B2B demo form.

The new version produces:

• 25% more form submissions
• 10% fewer qualified leads
• no increase in opportunities

Did the test win?

That depends entirely on what you decided mattered before launching it.

If your primary KPI was form submission rate, you may call it a win.

If your primary KPI was qualified demo rate, it may be a loss.

That is why the primary KPI should be decided before you look at the results, not after.

A good primary KPI should therefore answer three questions:

Will the result help us decide whether to keep, change, or reject the idea?

Does it measure the outcome that this change is supposed to affect?

Can the test realistically move it?

3. Add 2–4 diagnostic KPIs

Your primary KPI tells you whether the result improved.

Diagnostic KPIs help you understand what changed inside the funnel.

For example, imagine you redesign a product page and revenue per visitor increases.

That is useful. But you still want to know why.

You might also look at:

• add-to-cart rate
• cart-to-checkout rate
• average order value

Suppose the results are:

• Revenue per visitor: +12%
• Add-to-cart rate: +18%
• Cart-to-checkout rate: no meaningful change
• Average order value: -3%

Now you know much more.

The page appears to be convincing more people to add the product to the cart, and that increase is large enough to outweigh the small decline in average order value.

That is what diagnostic KPIs are for.

Do not add ten diagnostic metrics just because they are available.

Choose the few that can help explain the path between the change you made and the primary outcome.

A useful rule is:

Primary KPI: Did the result improve?
Diagnostic KPIs: Where did behavior change?

4. Add 1–3 guardrail KPIs

A test can improve the metric you care about while hurting the business elsewhere.

Guardrail KPIs are the numbers you watch to make sure that does not happen.

For example, let’s say, in an ecommerce test, you introduce a larger discount to increase purchases.

Primary KPI: Purchase conversion rate
Diagnostic KPIs: Add-to-cart rate, checkout completion rate
Guardrails: Average order value, gross margin, return rate

The conversion rate may go up. But if the discount cuts the margin so heavily that the business makes less money, the test is not a real win.

Or, in a SaaS onboarding test, let’s say you remove several onboarding steps to increase completion.

Primary KPI: Onboarding completion rate
Diagnostic KPIs: Completion of each onboarding step
Guardrails: Activation rate, support requests, early churn

More users may finish onboarding simply because you made it shorter. But if fewer users actually understand the product or grasp its core value, a higher completion rate is misleading.

This is not just a theoretical concern. Microsoft recommends tracking guardrail metrics because a test can improve its primary KPI while worsening another important part of the experience. In one Bing experiment, automated monitoring helped catch a bug that sent users to a 404 page.

A useful question before every test is:

What could improve on paper while making the business or customer experience worse?

The answer usually points you toward the right guardrail metrics.

How to report CRO KPIs to executives, marketers, and product teams

A simple CRO KPI dashboard template

The post CRO KPIs that Actually Matter: What to Track and How to Report appeared first on Invesp.

Website analysis used to mean checking traffic, rankings, speed, and conversion rates.

In 2026, that’s not enough. Your buyers may discover you through Google, compare you inside ChatGPT, see your brand summarized in an AI Overview, or land on your site after asking Perplexity for recommendations.

That means website analysis now has to measure more than page performance. It has to measure discoverability, machine readability, credibility, user behavior, and conversion friction.

In this article, you’ll learn how to analyze your website for the way people search, compare, and buy today. This includes evaluating your SEO performance, AI search visibility, user behavior, content quality, trust signals, and conversion opportunities.

What is Website Analysis?

Website analysis is the process of examining and evaluating a site’s performance, design, content, and user experience to identify areas for improvement and optimize its effectiveness. 

It’s like conducting a health checkup for your website, ensuring it performs at its best and provides a great experience for your visitors.

The 5 areas of website analysis you should review

Here are some key aspects of website analysis you should know before starting the process:

1. Search and AI visibility 

Before you analyze what people do on your website, check whether they can find you in the first place.

In the past, this mostly meant looking at SEO performance: rankings, clicks, impressions, indexed pages, and technical issues. That still matters. But in 2026, buyers will not only discover brands through traditional Google results. They may ask ChatGPT for recommendations, compare vendors in Perplexity, or see your brand summarized in a Google AI Overview before they ever visit your site.

That shift matters because AI is already changing how people search and click. Gartner predicted that traditional search engine volume would drop 25% by 2026 as users move toward AI chatbots and virtual agents. Pew Research Center also found that users clicked a traditional Google result in 8% of visits when an AI summary appeared, compared with 15% when no AI summary appeared.

So, your website analysis should answer two visibility questions:

• Can search engines crawl, index, and rank your important pages?
• Can AI tools understand, mention, and cite your brand accurately?

Start with Google Search Console to check your Google visibility.

Use Google Search Console to see how your site is performing in traditional search.

Open the Performance report and compare the last three months with the previous three months, or the same period last year. Then check:

• Pages losing clicks: These may have dropped in ranking, lost CTR, or been affected by changes in the search results.
• Queries with high impressions but low CTR: These show where people are seeing your page but not clicking.
• Queries with rankings but little traffic: These may be affected by ads, AI Overviews, featured snippets, videos, or stronger competitor pages.

Next, check the Indexing report to make sure important pages are actually indexed. Look for issues like “Crawled — currently not indexed,” “Discovered — currently not indexed,” duplicate canonical issues, or pages blocked by robots.txt.

For priority pages, use the URL Inspection tool to check whether Google can crawl and index the page properly.

Look for pages with declining clicks, high impressions but low CTR, indexing issues, and queries where your rankings don’t translate into traffic. Then manually search your most important buyer questions on Google and AI tools like ChatGPT, Perplexity, Gemini, and Copilot.

For example, if you sell a CRO tool, don’t only search your brand name. Search questions your buyers would ask, such as:

• “Best heatmap tools for ecommerce websites”
• “How to analyze why my website is not converting”
• “Hotjar alternatives”
• “Best CRO tools for Shopify brands”

2. Website performance and technical health

3. User behavior and customer experience 

Conversion rate optimization audit involves taking a 360-degree approach to evaluating your website, identifying and eliminating conversion blockers, and increasing sales.

That said, CRO is a broad field. You need to focus on your traffic and messaging to succeed with your analysis.

Traffic:

Traffic here refers to website visitors who land on your site every day. A thorough CRO analysis starts with understanding how users interact with your site (their actions and behavior on your website).

You need tools that give you quantitative and qualitative insights to understand your traffic better. 

Quantitative data refers to user behavior that can be measured and given a numerical value, e.g., number of visitors per page, session duration, bounce rate, etc.

To access this data type, you can use tools like Google Analytics, Open Web Analytics, Similarweb, etc.

Messaging

Another crucial aspect of CRO audits is analyzing your website’s message to see how users respond.

Online shoppers don’t just land on a website out of the blue. They follow different touchpoints before finally being directed to your website—it could be through an ad, a simple Google search, or a blog post.

When conducting a CRO analysis of your website, you want to ensure that your website’s copy (on different pages) resonates with your target audience.

You can follow these tips when conducting a CRO analysis for your website: 

• Define key conversion goals: You need to have a goal, e.g., reducing cart abandonment on checkout, etc.

• Focus on priority pages: don’t be carried away by conducting an audit on pages that don’t drive conversions. Focus on pages where the money is, e.g., product and category pages, etc.

• Understand user behavior: Conduct user research by launching polls and surveys, using analytics, going through session recordings and heat maps, etc.

• Run A/B tests: It’s time to A/B test your ideas against the existing designs to see if there will be an uplift.

• Document your learnings and iterate: Every A/B test has a result; it’s not about whether a test won, but what did you learn? How does it impact your next test? Also, repeat the cycle. It could be going on the next test or iterating on the just-finished test.

But how will you go about it? 

The best way to conduct this sort of website analysis is by using an all-in-one conversion optimization tool. 

For example, you can use Figpii to view heatmaps and session recordings, and even run on-site surveys—all under one dashboard.

4. Content quality and trust signals

5. Conversion and funnel performance

A usability analysis is about evaluating a website’s interface to see how online visitors respond. 

Usability analysis of your website can be conducted in two critical areas: functionality assessment and expert review.

Functionality assessment:

Functionality assessment requires answers to three important questions: 

Are the website functions discoverable?

Can my website visitors use those website functions easily? 

Are the links/buttons working?

If your target audience finds a function on your website difficult to use, it will only add to their frustration, leading to a negative experience and users never returning.

You can use tools like Qualaroo, Usabillia, and User testing to conduct this type of website analysis. 

Expert review:

Also known as heuristic analysis, the expert review helps detect issues with a website design and helps create educated changes to improve site usability.

To conduct an expert review of your website, you should use the heuristics developed by Jakob Nielsen and actively look for any violations of these rules in your site’s design or functionality.

Jakob Nielsen’s heuristics are:

• Visibility of System Status: Keep users informed about what’s going on through appropriate feedback within a reasonable time.

• Match between the System and the Real World: Use language and concepts familiar to the user, following real-world conventions.

• User Control and Freedom: Provide users with the ability to undo and redo actions, offering an ’emergency exit’ where needed.

• Consistency and Standards: Ensure that the interface follows platform and industry conventions and standards.

• Error Prevention: Design the system to prevent errors from occurring in the first place.

• Recognition Rather Than Recall: Minimize the user’s memory load by making objects, actions, and options visible.

• Flexibility and Efficiency of Use: Accommodate novice and expert users by allowing customization and shortcuts.

• Aesthetic and Minimalist Design: Avoid clutter by including only necessary information in the design.

• Help Users Recognize, Diagnose, and Recover from Errors: Provide clear error messages and guidance for resolving issues.

• Help and Documentation: Offer easily accessible, concise help and documentation when needed.

You can also use tools to assist in your heuristic analysis, such as the Chrome extension UX check and Heurix.

5. Content Analysis

This involves examining the quality, relevance, and SEO optimization of the website’s content. Content should be informative, engaging, and aligned with the target audience’s interests. 

How to Conduct a Comprehensive Website Analysis for SEO and Performance Optimization

We’ve come a long way in figuring out the different types of website analysis and tools you can use to make your analysis easier and more effective.

In this section, we’ll examine how to run a website analysis:

1. Define the objective of your website analysis:

Conducting a website analysis without a goal or focus sets up your analysis for failure.

Maybe you recently noticed a drop in page rankings for some of your web pages or higher cart abandonment rates; these are good enough baselines to start a website analysis. 

If you don’t have a clearly defined analysis goal, you risk searching for a needle in a haystack, i.e., you don’t know what you’re analyzing for and how to get it. 

2. Choose the right website analysis tools 

Understanding the tools available for website analysis can help you optimize your site more effectively. 

Here’s an overview of the tools that will prove to be helpful in different parts and aspects of website analysis:

SEO Tools:

• Google Search Console (GSC): A free search engine optimization tool by Google for monitoring website performance in search results, diagnosing SEO issues, verifying page indexing, and analyzing backlinks and keyword rankings.

• SE Ranking: An all-in-one website SEO checker and a comprehensive website audit tool. It assesses your site using 120+ parameters and provides detailed reports, sitemap generation, and more. 

• Screaming Frog SEO Spider: A powerful crawler for conducting a technical SEO audit, traffic analysis, identifying broken links, generating XML sitemaps, and analyzing metadata and meta tags. 

• Ahrefs Site Audit Tool: Known for its user-friendly interface, Ahrefs detects over 100 technical issues and groups them into easy-to-understand reports.

• Google PageSpeed Insights: A free tool that analyzes webpage loading speed and provides suggestions for improvement based on real user data from the Chrome browser.

• Pingdom Speed Test: Another tool for testing page speed, grading pages from 0 to 100, and providing key metrics pertaining to your website’s performance. It’s free and doesn’t require login.

Tools for Conversion Rate Optimization (CRO) Analysis:

• All-in-one CRO Tools (e.g., Figpii): Tools like Figpii use session recording and heatmaps to understand user behavior, providing insights for website improvements and conversion optimization.

• Web Analytics Tools (e.g., Google Analytics): Google Analytics offers detailed insights into website traffic, user demographics, and behavior. It’s free but requires embedding a code into your website’s HTML.

• User Behavior Platforms (e.g., FullStory): Platforms like FullStory capture every user interaction on your website, providing insights into user behavior and potential issues.

Tools for Usability Analysis:

• Userfeel: Offers usability testing in over 40 languages, providing features like unmoderated and moderated tests, high-quality tester panels, and video clips. 

• TryMyUI: Allows testing of wireframes or prototypes in remote studies, with options to use their participant database or bring your own. Features include test setup, user-narrated videos, and post-test surveys.

3. Create an analysis roadmap:

The next step after creating your analysis goal is to define a roadmap. This step includes benchmark data on conversion rates from your niche. 

This helps you determine what exactly you hope to achieve from your analysis. 

The next stage is to create a rough step-by-step plan for how you expect your ideal audience to move through your funnel.

Getting as precise as possible in each step and starting as early as possible in your conversion funnel is advantageous. 

4. Collect and analyze data:

Your website analysis goal is set; you’ve mapped out the ideal customer journey, and now it’s time to use the tools already discussed to collect data on your website visitors.

Note that the data you collect is dependent on your analysis goal. If your analysis goal is to improve SEO rankings, you may analyze keyword rankings, CTR, impressions, etc.

5. Work on loopholes:

After reviewing the data and seeing what’s working and not working too well, it’s time to double down on the areas that need improvement.

Working with the example from the previous point, if your analysis goal is to improve SEO rankings, you might find that you’re getting fewer impressions on your content or a higher bounce rate on articles. 

You can now work on ranking for more relevant content that brings in the right traffic to your website. 

6. Make website analysis a habit:

Now that you know the steps to analyze your website, the discussion does not end here. 

For your website to remain relevant to visitors and rank on Google, you must consistently have different analysis goals you’re trying to improve.

This way, your website is delivering the best experience possible. 

Competitive Analysis: Yes or No?

If you’ve researched this topic, you’ll notice a divide online about competitor website analysis.

For some, it’s a necessary part of website analysis; for others, it’s a different topic all in itself; just focus on your website and how to improve it across different areas.

We can agree that conducting a website analysis is not an activity that’s a walkover in the park.

Since this is true, will adding the task of conducting competitor website analysis be okay?

Logically looking at it, in your niche, you’ve got competition that your audience visits their website to browse and even purchase from. 

Following the same logic, it’ll be in your business interest to occasionally conduct competitor website analysis to gain insight into your competitor’s strategy.

Here are three areas you can study on your competitor’s website;

1. Organic traffic: 

Many businesses rely on organic traffic to drive long-term growth and repeat online visitors. 

Understanding your competitor’s SEO and SERP ranking helps you discover keywords and content you can rank for to attract more relevant traffic. You can use several tools here, like Ahrefs and Semrush.

2. Customer demographics:

Getting an insight into your competitor’s customers gives you ideas of an underserved segment of customers in your niche or a market no one has yet to consider. With tools like Similarweb, you can see your competitor’s global ranking, audience demographics, interests, etc.

3. PPC:

Many businesses run ads to supplement their organic efforts. If your competitors have seen good progress in their campaigns, you can study their ad funnel, creatives, audience segment, etc. Focusing on these areas can help improve your paid campaign initiative, too.

An amazing tool you can use here is iSpionage. You can see how many PPC ads your competitors are running, for how long, which keywords they’re bidding on, etc.

Wrapping Up: The Power of Comprehensive Website Analysis

To stay ahead of the competition and ever-changing trends, analyzing the performance of your entire site is a must for your business.

Remember, you don’t conduct a website analysis for analysis’s sake; you must have a goal in mind, something you want to improve.

This way, you satisfy your customers and online visitors, and your website and content continue ranking in search engines.

Remember to leverage behavior analysis and CRO tools like FigPii to assist you in making website analysis easier and more effective.

 

The post The Ultimate Guide to Website Analysis (With Examples) appeared first on Invesp.

Imagine walking into a bookstore where every shelf you pass seems to have the exact book you’ve been looking for. The store knows exactly what you love to read—before you even realize it yourself. It’s like your favorite shopkeeper can predict your next purchase, offering suggestions that feel perfectly tailored to you.

Like that bookstore, AI allows websites to anticipate user preferences, fine-tune interactions, and optimize experiences in real time—all with one goal: improving conversions. By automating data collection, AI gathers relevant information and provides insightful analytics that enhance user experiences and drive better decision-making in Conversion Rate Optimization (CRO).

Whether through personalized content, real-time adjustments, or predictive analytics, AI is helping businesses create unique, seamless customer journeys, ultimately boosting their bottom line. So, how does AI make this happen? Let’s discover.

What Is AI Conversion Rate Optimization?

AI conversion rate optimization (AI CRO) entails using AI to identify conversion friction faster, prioritize what to test, personalize experiences, and improve results such as conversion rate, revenue per visitor, and trial-to-paid conversion.

In plain terms: AI helps you spot patterns in behavior data that are hard to catch manually, then helps you act on them. It does not replace your CRO strategy. It speeds up insight generation and improves execution quality when your tracking and testing processes are solid.

AI vs. Traditional CRO

Traditional CRO typically involves manual analysis, heuristic reviews, and A/B tests run sequentially. It works, but it is often slow and bandwidth-heavy.

Here are some ways AI can help you maximize your CRO efforts and boost conversion rates:

• Faster diagnosis: AI can cluster behavior and VOC signals (session patterns, search terms, support tickets) so your team finds friction faster.
• Smarter prioritization: Instead of random backlog ideas, AI helps rank opportunities by likely impact and segment behavior.
• More relevant experiences: AI can personalize content, offers, or next-step guidance based on intent signals.

Sephora, for example, uses AI to recommend beauty products based on a customer’s preferences, past purchases, and even skin type.

Sephora AI-based product recommendations

Their virtual artist tool leverages AI to help customers “try on” makeup virtually, improving the chances that they’ll convert and make a purchase.

Sephora’s AI-based virtual makeup try-on tool for a better user experience (Source)

It’s not just about what AI can do for your business but for your customers. A personalized experience can make visitors feel more understood and valued, and more likely to complete a purchase.

AI-Powered Tools for CRO

In CRO, having the right tools is like having a well-stocked toolbox for a home renovation project. That said, AI-powered tools are like a more sophisticated version of hammers and nails in this context—they allow you to identify what your audience wants and requires and fine-tune your website accordingly to boost conversion rates.

Here’s a breakdown of some powerful AI tools you can use to optimize your site for better user experience, personalized content, and, ultimately, more conversions. 

1. Personalization Engines

Personalization is central to CRO, and AI-powered personalization engines help you deliver tailored experiences for each visitor.

Integrating AI-powered personalization engines with Google Analytics can provide deeper insights into user behavior and improve content personalization.

How It Works: AI tools can analyze user behavior in real time, including which pages they visit, which products they browse, and their past interactions with your site. Based on this data, they personalize the content users see, such as product recommendations or customized landing pages.

For example, OddBalls, one of the UK’s top underwear brands, uses AI Wishlist to display recently viewed items dynamically. After a visitor views at least three products, the AI creates a targeted on-site notification with tailored recommendations.

AI-based recommendations (Source)

This personalized nudge boosts engagement and encourages conversions by reminding customers of items they’ve shown interest in.

Pro tip: If you’re an e-commerce store, implement a personalization engine to show relevant products to each customer based on their browsing history. For a blog or content site, personalize articles or resources based on user behavior (e.g., show related articles based on what they’ve already read).

2. AI for A/B Testing

Traditional A/B testing is great, but AI takes it to the next level by running multiple variations and adjusting content in real-time. It’s like having a marketing team that runs experiments 24/7.

How It Works: AI tools like FigPii use AI to provide personalized testing recommendations based on user behavior and preferences. 

3. AI-Driven Chatbots

AI-powered chatbots are one of the easiest ways to engage users and guide them down the conversion funnel. These bots use natural language processing to understand user questions and provide instant responses.

How It Works: Tools like Intercom and Drift provide AI-driven chatbots that automatically answer customer questions, guide users through the buying process, and suggest products or services based on the user’s intent. 

They’re available 24/7 and offer personalized customer support that mimics the human experience, which is impossible with regular, algorithm-driven chatbots. 

Even governmental organizations are embracing AI chatbots. For example, Liverpool City Council implemented a virtual assistant to address common pain points in their digital channels. 

Liverpool City Council uses AI chatbot to address citizens’ queries (Source)

The bot helps citizens resolve queries about council tax and benefits in real-time, showing just how effective AI chatbots can be when it comes to replicating human-like customer support.  

4. AI for Predictive Analytics

Predictive analytics uses AI to analyze past user behavior and predict future actions. It’s like having a crystal ball that helps you understand when a customer is about to leave your site or is ready to convert.

How It Works: AI tools like Pendo or HubSpot use machine learning to analyze data and predict outcomes. For instance, if a user has shown interest in a product but hasn’t yet made a purchase, the AI might indicate that they will likely abandon the cart. It can then trigger a remarketing campaign or a personalized discount to help close the sale.

AI-Powered Heatmaps to Analyze User Behavior

Heatmaps visually represent where users click, scroll, or spend time on your page. AI takes this further by analyzing the data and offering insights on optimizing those areas.

How It Works: Tools like FigPii or Crazy Egg use AI to generate heatmaps and analyze user interactions. They provide data on which sections of your pages attract the most attention and where users drop off. AI algorithms also suggest changes to improve user flow and increase conversions.

FigPii heatmaps showing how users behave on your site (Source)

6. Dynamic Content Optimization

AI can dynamically change content based on who’s visiting your site. This means you can display different banners, product offers, or even pricing based on user data, like location or past behavior.

Here’s an example of dynamic content where the brand uses it to change the user’s first name when they land on the site, making the experience more personal. 

Dynamic content used for personalization (Source)

How It Works: AI tools like Unbounce or Convert allow you to show personalized content based on a user’s past interactions or demographic details. This creates a more engaging, relevant experience for the user, leading to higher chances of conversion.

Building a Data-Driven Optimization Culture

Embracing a data-driven culture of constant optimization is key to staying ahead of the curve. AI-powered CRO can help businesses optimize conversion rates with precision and efficiency. A data-driven culture can help businesses make informed decisions and allocate resources effectively. By leveraging AI, businesses can analyze large datasets, identify patterns, and make data-driven decisions to optimize their website and marketing campaigns.

Imagine having a team of data scientists working around the clock to analyze your website’s performance and suggest improvements. This is what AI brings to the table. By fostering a data-driven culture, businesses can continuously optimize their conversion rates and stay ahead of the competition. AI tools can analyze vast amounts of data in real-time, providing actionable insights that help businesses make informed decisions. This not only improves conversion rates but also enhances the overall user experience.

Identifying Opportunities for Improvement

AI-powered data analysis can identify patterns, trends, and anomalies that human analysis might miss. By analyzing user behavior data, businesses can identify areas for improvement and optimize their conversion funnels. AI can help businesses identify user drop-off points and target data-driven improvements. By leveraging AI, businesses can create a seamless experience that keeps users engaged and moving down the conversion funnel, boosting conversion rates.

Think of AI as a detective that can spot clues and patterns that are invisible to the naked eye. By analyzing user behavior data, AI can identify where users are dropping off in the conversion funnel and suggest targeted improvements. For example, if users are abandoning their carts at a specific point, AI can analyze the data to determine why and suggest changes to reduce drop-offs. This helps businesses create a more engaging and seamless user experience, ultimately boosting conversion rates.

Testing and Validation

AI-powered testing tools can accelerate the testing process by enabling multi-variant testing and real-time personalization. By leveraging AI, businesses can test multiple design variations at once, with AI adapting each one based on user behavior in real-time. AI can help businesses explore “what if” scenarios to help refine their strategies before making major changes. By leveraging AI, businesses can make data-driven decisions and optimize their conversion funnels with precision and efficiency.

Imagine being able to test multiple versions of your website simultaneously and see which one performs best in real-time. This is the power of AI in testing and validation. AI-powered tools can run multi-variant tests, analyzing user behavior to determine which design elements drive the most conversions. This allows businesses to make data-driven decisions and optimize their conversion funnels with precision. AI can also simulate “what if” scenarios, helping businesses refine their strategies before implementing major changes. This not only saves time and resources but also ensures that the changes made are based on solid data.

How AI Improves Data-Driven Decision Making

Imagine being a chess grandmaster who can see ten moves ahead. That’s what AI brings to businesses—clarity, foresight, and the power to act with precision. 

Instead of relying on gut feelings or delayed reports, AI enables real-time decisions that keep you ahead of the competition.

• Real-time data analysis and insights: AI analyzes data the moment it’s generated, highlighting trends or anomalies instantly. Take Domino’s Pizza as an example. Their Domino’s AnyWare system uses AI to track customer orders across platforms—apps, voice assistants, or even smart TVs—and analyzes real-time data to optimize delivery routes. The result? Faster deliveries and happier customers.

• Predictive analytics for forecasting customer behavior: AI doesn’t just analyze—it forecasts. As we’ve seen above in this article, Sephora uses predictive analytics to anticipate customer needs and suggest products customers are likely to purchase next based on past behavior. This not only boosts sales but strengthens loyalty by making shoppers feel understood.

• AI-driven precise targeting: Forget broad targeting—AI identifies micro-segments that drive better results. For example, Stitch Fix’s Outfit Creation Model (OCM) uses customer purchase history and current inventory to create personalized outfit suggestions, shared through emails, ads, and feeds. These hyper-relevant recommendations keep clients engaged and drive repeat business.

StichFix’s OCM model (Source)

Pro tip: Use AI to segment audiences by behavior or preferences and craft personalized campaigns that resonate with each group.

AI-Driven Personalization and User Experience

Say you walk into your favorite coffee shop, and the barista already knows your order. Now scale that level of personalization to millions of users online—this is how AI works to help you craft tailored experiences for your audience that make them feel valued.

• Creating personalized journeys based on user behavior: AI creates personalized journeys by analyzing vast amounts of user behavior data, such as browsing history, search queries, time spent on pages, and purchase patterns. Machine learning algorithms then identify patterns, preferences, and intent to deliver content or offers tailored to each user.

• Adaptive website design and content customization: Websites powered by AI adjust in real time to match user preferences. For instance, Spotify dynamically updates its homepage with playlists based on individual listening habits to keep users engaged and inspire customer loyalty. 

Spotify dynamic playlist (Source)

• Enhancing the customer experience through AI chatbots and virtual assistants: AI chatbots deliver frictionless support, answering questions and guiding users to solutions 24/7. 

Conclusion: The Future of CRO is AI-Driven

As businesses and customers strive for better customer experiences, AI appears to be an invaluable tool. It allows brands to move beyond basic metrics and dive deep into real-time data to predict customer behavior, perform automated data analysis, personalize content, and optimize every touchpoint on a website. 

The ability to adapt in real-time, automate complex processes, and tailor experiences for each user isn’t just a luxury anymore—it’s an expectation.

By using AI-powered CRO tools, businesses can analyze user data more deeply than ever before, leading to a personalized customer journey and a tailored marketing strategy. This leads to AI-driven conversion rate optimization and the creation of meaningful customer connections. The future is clear: as AI technology evolves, so too will the possibilities for creating more personalized, engaging, and optimized experiences for every user who visits your site. 

The post AI Conversion Rate Optimization (AI CRO): Framework, Tools, and Real Examples appeared first on Invesp.

A common misconception is that you only have to perform a conversion audit when something seems wrong on your website. 

But when you think about it, a CRO audit is very similar to a health check-up. 

Regular medical check-ups can help you stay on top of your health. 

Likewise, regular conversion rate optimization audits can help your website perform better in terms of conversions. 

Just like you don’t have to see a doctor when sick, you also don’t need to perform conversion audits only when your cart abandonment rate is high. 

You can also conduct CRO audits when you want to uncover revenue opportunities, improve the visitor’s online experience, and when you want to keep your CRO strategy up to date. 

Take this as a friendly reminder: If you are not regularly performing conversion audits, you’re leaving money on the table. 

In this post, we are going to take a deep dive into:

• What a conversion audit is, 
• Where should you perform it, 
• What you need to perform it,  
• And when you should perform it. 

Let’s get into it…

What is a CRO Audit? 

A Conversion Rate Optimization (CRO) audit is like a health check-up for your online store. Instead of measuring blood pressure or cholesterol, it examines the key parts of your site that influence conversions—things like your product pages, checkout flow, navigation, page speed, and analytics setup.

These are the areas that determine whether visitors move smoothly from browsing to buying, or abandon the process along the way.

Step-by-Step CRO Audit Framework

Step 1: Gather Quantitative Data

Before you dive into fixing pages, you need hard numbers. A CRO audit should start with quantitative data: the “what” of user behavior. 

Numbers won’t tell why people drop off, but they’ll tell where and how much revenue you’re losing.

To get that clarity, you’ll want to start with the following three essentials: 

• Analytics setup: Making sure tools like GA4 record what shoppers do: which pages they visit, when they add to cart, and if they buy. Without this, you’re guessing where people drop off.
  
• Conversion goals and benchmarks: These metrics tell how well your site is performing compared to your past numbers and industry standards. For example, if 2 out of every 100 visitors buy something from you (a 2% conversion rate), but the industry average is closer to 3%, you know you’re leaving sales on the table.
  
• Page performance metrics (Core Web Vitals & speed): This measures how fast your site loads and how smooth it feels when people interact with it.

Analytics Setup (GA4 events)

The first step in your CRO audit is to see how people move through your store. That’s what analytics setup is all about: configuring your tools so you can track every stage of the shopping journey, from browsing a product to completing a purchase. Without this, you’re just guessing where drop-offs happen.

The most common tool for this is Google Analytics 4 (GA4). Out of the box, GA4 tracks page views and some engagement, but for ecommerce, you need to go further by capturing shopping-specific actions (called events).

At a minimum, these four shopping-specific actions or events should be:

• view_item: fires when a visitor lands on a product detail page.
• add_to_cart: fires when they click “Add to Cart.”
• begin_checkout: fires when the checkout process starts.
• purchase: fires when payment is completed.

These events tell how many people progress from one step to the next and where they drop off.

For example, if 10,000 people view a product, 3,000 add it to cart, 1,200 begin checkout, and 600 complete purchase, you instantly know:

• Your product pages are strong (30% add-to-cart rate).
• But your checkout process is leaky (only 50% of users who begin checkout complete it).

That insight tells you where to focus your audit efforts.

But how do you set up these events? 

There are two common ways to get GA4 ecommerce events working:

1. Directly in your platform (easiest): 

If you’re on Shopify, WooCommerce, or BigCommerce, GA4 integrations are usually built in. Setup is simple:

• Get your Measurement ID. GA4 will generate an ID that looks like G-XXXXXXXXXX.

GA4 Web Stream details page showing Measurement ID (G-XXXXXXXXX) (Source)

• Add it to your platform. For example, if using Shopify, go to Settings → Customer Events → Google Analytics and paste in the ID. WooCommerce and BigCommerce have similar fields.
• Enable Enhanced Ecommerce. This makes sure product views, add-to-cart actions, and purchases are tracked automatically.
  

Note: You can follow these steps for a detailed step-by-step GA4 setup. 

2. Use Google Tag Manager (GTM) for custom setups:

If your platform doesn’t have built-in support, or you want to track additional “micro-conversions” (like clicks on size guides or coupon use), you’ll need Google Tag Manager (GTM). GTM is a free tool that sits between your site and GA4, letting you control exactly what gets tracked.

Here’s a simplified setup flow:

• Install GTM on your site. Add the GTM container snippet to your site’s <head> and <body>.
• Create a GA4 Event Tag. In GTM, go to Tags → New → GA4 Event. Give it a name like add_to_cart and enter your GA4 Measurement ID.

Example of a GA4 Event setup in GTM (here for view_item_list). You’d do the same for add_to_cart, begin_checkout, and purchase (Source)

• Set a Trigger. A trigger tells GTM when to fire the event. In the screenshot example, the event is view_item_list, which fires whenever a shopper views a product list (like a category page). 
• Repeat for Other Events:  For example: view_item → trigger when a product page loads. begin_checkout → trigger when the checkout page loads. purchase → trigger when the order confirmation page loads
• Test in Preview Mode. GTM lets you simulate actions to make sure each event fires properly.
• Publish the Container. Once tested, publish it, so your events now flow into GA4.

Note: For a full walkthrough, check out this GA4 Ecommerce Tracking Guide.

Conversion goals and benchmarks

Once your tracking is in place, the next step is knowing what “good” looks like. Conversion goals and benchmarks help determine whether your site is underperforming or overperforming compared to both your historical performance and industry standards.

Here’s how you can set up your conversion goals and benchmarks:

• Calculate your current conversion rate. Divide the number of purchases by the total number of visitors, and then multiply the result by 100. For example: 200 purchases ÷ 10,000 visitors = 2% conversion rate.
• Compare with industry benchmarks.
  
• • Cart Abandonment Rate: According to the Baymard Institute, the average global cart abandonment rate is 70.19% (Baymard).
    
  • Ecommerce Conversion Rate: Across industries, typical conversion rates fall around 2% (Tidio).

Average conversion rates vary dramatically by industry—from just 0.6% in home furniture to 4.6% in food & beverage (Source).

• Set realistic goals. If you’re at 2% today, aim for 2.5% in the next quarter instead of shooting for 5% overnight.

Pro tip: Don’t just track the final purchase. Also set goals for micro-conversions, such as add-to-cart clicks, email sign-ups, or checkout starts. You can capture these the same way you set up purchase events earlier (through your platform’s GA4 integration or GTM). Tracking them provides early signals of progress and reveals exactly where shoppers drop off.

Page performance metrics (Core Web Vitals and speed)

The third piece of your quantitative audit is site performance. Even if your offers are strong, a slow or unstable site will deter shoppers. Google refers to the key measures of performance as Core Web Vitals, and they’re now both a ranking factor and a conversion driver.

When you audit performance, focus on three Core Web Vitals:

• Largest Contentful Paint (LCP): how quickly the main product or hero image or headline loads. Target: < 2.5s.
  
• Interaction to Next Paint (INP): how fast the site responds to clicks, taps, and input across the page. Target: under 200ms.
• Cumulative Layout Shift (CLS): how stable the page is as it loads (no buttons shifting mid-click). Target: < 0.1.

Google’s core web vitals (Source)

You can check these using free tools like PageSpeed Insights or Search Console’s Core Web Vitals report. Always test mobile first, since that’s where most users drop off.

These tools show you exactly how fast your site loads (LCP), how responsive it feels (INP), and whether the layout shifts while loading (CLS).

These numbers will make the problem concrete. For example, PageSpeed Insights might indicate that your product pages have an LCP of 3.8 seconds on mobile, which is well above the 2.5-second target. That’s a clear signal that those pages are costing you sales.

Once you know which metric is failing, you can act: compress images if LCP is too high, remove heavy scripts if INP is slow, or fix shifting elements if CLS is poor. Then rerun the test to confirm improvements.

Step 2: Collect Qualitative Insights

Step 1 provided you with the data: how many people add items to their cart, start checkout, complete their purchase, and whether slow site speed is hindering them along the way.

But numbers alone can’t tell you why people abandon a product, leave the cart, or bounce from checkout.

That’s where qualitative insights come in. 

Qualitative insight tools show you the human side of the story, including what visitors see, think, and feel as they interact with your store. Combined with quantitative data, they provide a comprehensive picture of conversion barriers.

Here are the core methods to focus on to collect qualitative insights: 

Heatmaps, session replays, and scroll tracking

Heatmaps are one of the most useful tools in a CRO audit, as they show you how visitors actually interact with your site’s elements. While analytics (Step 1) told you how many people dropped off between product views and purchases, setting up heatmaps helps you uncover why that happens.

Heatmaps visualize visitor behavior using color codes:

• Red / Orange = high engagement (lots of clicks, taps, or attention)

   

• Yellow / Green = moderate engagement

   

• Blue = little or no engagement

This helps you instantly see what captures attention and what gets ignored.

There are three main types of heatmaps you’ll use in a CRO audit: click heat maps, scroll heat maps, and movement heat maps. 

• Click heat maps:

Click heat maps show you where people click or tap on a page.

For example, in the click map below, you can see strong red clusters on the brand logo and form fields, while the body copy stays blue. This indicates that visitors are paying more attention to the form than the messaging—a sign that your copy may need to be shorter or placed closer to the CTA.

• Scroll maps:

Scroll-based heatmaps reveal how far down the page people scroll. 

Take this scroll map below, for example. 

The bright red at the top means everyone sees the hero, but the fade to yellow and green further down shows most users never reach the reviews section. If your social proof is buried here, you’ll want to bring it higher.

• Movement heatmaps:

Movement heatmaps track where users hover their mouse (on desktop). 

It’s not perfect, but it often indicates where people are paying attention.

In the move map below, clusters around the headlines and form are expected, but the scattered red hot spots on plain text signal confusion, which means people tried clicking on text that wasn’t clickable. Turning that into links or clarifying the design can remove friction.

Finally, if heatmaps are the snapshot, session replays are the movie. Setting up session replays lets you watch real visitor journeys in real-time, showing where someone hovered, clicked repeatedly, or gave up. 

For instance, a replay might show a shopper rage-clicking a broken “Apply Coupon” button, or zooming in and out on mobile because the text is too small. These are frustrations you’d never spot from numbers alone.

Now, the question is: how do you set up heatmaps and session replays? 

Luckily, setting up heatmaps and session replays is straightforward. All-in-one CRO tools, such as FigPii, make it easy to track clicks, scrolls, and movements, and also record session replays, allowing you to watch real user journeys. 

The setup typically involves adding a small tracking script to your site, after which data collection begins automatically.

You don’t need to configure every detail yourself. Most platforms, like FigPii, offer step-by-step guides that walk you through the process of installing heatmaps, enabling scroll tracking, and turning on replays. 

Once set up, you’ll start seeing exactly how users interact with your store, and those insights become the foundation for spotting usability issues and testing ideas in your CRO audit.

Customer surveys & exit polls

Heatmaps and replays show you what people do on the page. But they can’t tell you what’s going on in the shopper’s head, including the doubts, questions, or reasons they didn’t complete a purchase. 

That’s where surveys and exit polls come in.

• On-page surveys help you capture feedback while users are still browsing. For example, you can ask: “What’s missing on this page?” or “What information would help you make a decision?”
• Exit polls trigger when someone is about to leave (like moving the mouse toward the browser’s close button). A simple question like “What stopped you from completing your order today?” can surface issues you’d never see in analytics.

The key is to keep surveys and polls short and respectful of the user’s time. Instead of a 10-question form, ask one or two questions that get straight to the point. 

For example:

• On a product page: “What’s stopping you from adding this product to your cart?”

   

• On a checkout page: “What nearly stopped you from completing your order today?”

   

• Post-purchase: “What almost kept you from buying, and what made you decide to go ahead?”

These single-line questions are quick for shoppers to answer, but they provide highly actionable insights. If 20% of respondents say “I wasn’t sure about the sizing,” you instantly know your size guide needs to be more visible.

A great example comes from our own Invesp CRO case study. Faced with a high abandonment rate, the team combined customer interviews and expert reviews to identify areas of friction in the checkout flow. 

This qualitative research revealed that users required additional reassurance to complete their purchases. Based on these insights, our team added urgency elements (such as “free shipping” and “only a few items left” prompts) and conducted an A/B test.

This image shows a checkout variation shaped by user interviews, where urgency cues (“Only 3 left”) boosted conversions by 17% (Source: Invesp CRO case study)

The results were striking:

• Conversion rate improved by 17%

   

• Average order value rose by 4%

   

• Engagement with key elements (gift wrapping, quantity, CTA) increased significantly.

This demonstrates how a couple of well-placed questions or interviews can uncover blockers that heatmaps alone would miss, directly leading to improved conversion rates.

Pro tip: Leverage tools like FigPii or Qualaroo to run polls and surveys. They make the setup simple: you choose the page, set the timing or exit intent, and start collecting responses.

User testing and interviews

While surveys and exit polls capture quick, in-the-moment reactions, user testing and interviews go deeper. Instead of asking a single question at checkout, you’re watching or talking to customers as they interact with your site in real time. This provides context that you can’t get from a pop-up survey.

Here’s how they work in a CRO audit:

In user testing, you recruit real shoppers (or people who fit your audience) and ask them to complete tasks like “find a product under $50 and check out”—and observe where they struggle. 

Even a handful of tests can reveal patterns: Nielsen Norman Group found that testing with just five users often uncovers 85% of usability issues, making it a high-impact method that requires a modest budget. 

Tools like UserTesting.com, Maze, or Useberry make this simple to run remotely.

Customer interviews go further by uncovering the thoughts behind the clicks. These are one-on-one conversations where you ask open-ended questions such as:

• “What almost stopped you from buying from us?”
  
• “How do you usually decide between two similar products?”
  
• “What information would make you feel more confident ordering?”

Unlike surveys, interviews capture tone, hesitation, and context. For example, a shopper might say, “I was ready to buy but wasn’t sure I could return it if it didn’t fit,” which directly highlights the need for a clearer returns policy.

That said, the key is to talk to the right people. Prioritize the following when recruiting people to interview: 

• Recent customers: ask why they chose you and what nearly stopped them.
• Cart abandoners: If you can reach them via email or remarketing, ask what held them back.
• Target audience lookalikes: Use tools like UserInterviews.com or social groups and ask what they’d need to see to make a purchase.

Recruitment can be as simple as emailing recent buyers with a $20 gift card offer for a 20-minute call, or letting a testing platform handle it. Either way, ensure that participants resemble your actual customers, as insights from the wrong audience won’t help you optimize.

Step 3: Prioritize High-Impact Pages

By now, you’ve got two powerful layers of insight:

• Step 1 (the numbers): where people drop off and how many make it through to purchase.
  
• Step 2 (the reasons): what trips them up, from missing info to confusing layouts.

The next step is focus. You can’t fix everything at once, so you need to prioritize the pages and flows that will make the most significant difference to revenue.

How to Run a CRO Audit on Product Pages 

The product page is the stage in the customer journey where visitors make the decision to purchase or not. This means whatever you do on product pages can make or break conversions. This is something to consider when conducting conversion audits on product pages. 

When it comes to product pages, there are four elements that you should focus on in order to make them convert more visitors into customers: 

• The product 
• The brand 
• Page design and user experience 
• Product page copy 

The product is the main center of attraction and the reason why people visited your website. It should be presented in a that alleviates fears and concerns that visitors might have. Using high-quality images and featured videos that show how to use the product may help answer questions that your potential customers have before they purchase your product. 

The brand is fundamental and it shouldn’t be an afterthought, even on product pages. Not everyone who purchases from you will go through your homepage, so its important to use your product pages to show your customers who you are and what you stand for. 

The page design and user experience can also impact conversions on your product pages. Visitors expect product pages to have a certain layout and features – if you arrange things in a different way, this might cause trust issues, and this will ultimately affect conversions. 

The product page copy is important because it is always the power of words that compel people to make a purchase. The more complex the product you’re selling, the more you need to have a product page copy that alleviates the fears and doubts that visitors might have.  

So, how do you assess your product page to make sure that these four elements are helping you convert more visits into sales? Here’s what you should look at…

Product Images 

How many product images do you have per product page? 

One or two images are not enough. 

Are your product photos giving customers enough visual information about the product? Are they showing the product from different angles? 

 

Another thing to look at when it comes to product images is linking the photos to product variants. This applies when the product has multiple variants (different colors, scents, etc). 

According to the Founder of ICEE Social, Mark Perini, 

“My experience as a web designer has taught me that when it comes to ecommerce, people DO judge a book by its cover, so invest in solid product photography.”

Product Descriptions 

Product descriptions are probably one of the most underutilized or overlooked elements on product pages. 

Over and over again, we’ve seen plenty of eCommerce sites that copy the product descriptions from their suppliers. This is a mistake you should avoid at all costs. 

A product description is an opportunity for you to show your potential customers how the product benefits them. So, we often recommend that you connect your product features to your benefits as this will influence a customer to buy. 

Here’s an example of how Apple connects iPod features to the iPod benefits: 

There are many ways you can make your product descriptions compelling. Another way of going about it is storytelling – you can talk about the history of your product in a captivating way that shows how unique your product is. Great product descriptions that incorporate storytelling anticipate the customer questions and they provide as many details as possible.

• What materials is the product made from? 
• What are the care instructions? 
• Where was the product made? 
• What is the weight of the product? 

– weave the answers to these questions to make your product descriptions more useful. Even if you’re telling a story about your product, you should always be thinking about the customer and not the product.

Clear Call-to-action (CTA)

Is your CTA button prominently displayed and working on different screen sizes and browsers? This is something you should always check before you publish your CTAs. 

The general rule of thumb is to place the CTA button above the fold, right under the product description. 

If a visitor lands on your product page, and your CTA button is not one of the first things they notice, then there’s a problem. Although your CTA button goes under your product descriptions, it shouldn’t be pushed to below the fold area. Another thing to remember is to avoid surrounding it with lots of distracting elements, and also use contrasting colors to make it stand out. 

Don’t try to be wordy or clever with CTAs. Keep your text short and sweet and straight to the point. The goal of your product pages is to get customers to press buy, short texts like ‘Add to Cart or Submit Order’ will do.

When a visitor clicks on your CTA, where does it take them? Check that all links are working properly and they are taking your visitor to the cart page. 

Social Proof 

When people can’t physically engage with your product, they will more likely have pre-existing fears and doubts about your product. Fortunately, social proof can help you overcome customer objections. 

Featuring social proof on your product pages can help move potential customers from inspiration to consideration and from consideration purchase. In fact, customers are six times more likely to buy a product if the page has social media pictures. 

There are different ways you can inject social proof into product pages: 

• Indicate how many people have already purchased the product. 
• Display customer testimonials, reviews, and ratings. 
• Display user-generated visuals of your product. 
• Highlight product awards and expert reviews. 

It is also important to think of where you will place these social proof elements. You want them to position in areas where customers can view them. 

We recommend that you place elements like ratings and the number of reviews above the fold. Customer testimonials and reviews can be positioned right under product descriptions. 

How to Run a CRO Audit on Cart Pages 

The ultimate goal of a cart page is to make customers complete a purchase. 

But from what we have seen over the years, customers also use cart pages as a tool for price comparisons, a wishlist, and also a place to refine selections of a product.

So, how do you maximize the number of conversions on this page? First of all, you start by ensuring that your cart page has these 3 elements: 

• Clear 
• Simple 
• Fast 

Clear means that there are no other distracting elements on your cart page that may deflate the focus of your customers. Every piece of information or element you add on this page should be clear enough to propel visitors into making a purchase. Be clear about your shipping and return policy. 

Simplicity often leads to success in eCommerce. Why? Because a confused user won’t make a purchase. Great cart pages have a simplified copy and design so there’s no room for confusion. 

Fast cart pages translate to a better user experience. And slow cart pages kill conversions. Stats show that 40% of customers will abandon a site if it takes more than 3 seconds to load. 

With that said, here are some of the questions you should seek to answer when auditing the cart page: 

1. When you offer one mode of payment, a high cart abandonment rate is inevitable. So, how many different payment options have you made available to your users? 
2. If anything, customers hate hidden shipping costs. So, is the information regarding shipping costs and return policy clear enough for customers to understand?
3. Remember, online customers have pre-existing concerns about the product. Do you have a live chat feature that will provide answers right away when a potential customer is on the cart page? 
4. Many users than before are now using their mobile devices to browse and shop on eCommerce sites. So, have you checked to see if your website is responsive on mobile? How does your text appear on mobile devices? Are your product images clear on mobile devices? 
5. How easy is it to checkout? How long does it take for users to complete the checkout process? The longer it takes, the higher the abandonment rate will be. 
6. Another unnecessary barrier common in cart pages is asking customers to sign up before they complete their purchase. Do you do the same or do you have a guest login option on your cart checkout process? 
7. Since you’re asking users about their card details, is there anything on your cart pages that will make them trust you? 

Conclusion

Let’s suppose you want to improve your conversion rate, user experience, reduce your cart abandonment rate, or explore revenue opportunities on your eCommerce website. 

In that case, you will significantly find value in conducting a conversion audit, no matter when you do it. But if you want the long-term success of your eCommerce website, you will have to perform a CRO audit regularly. 

Think of a CRO audit as a health check of your website. It can be done anytime to identify current problem areas, conversion leaks, and revenue opportunities on your website. 

The post Conducting an Ecommerce CRO Audit: A Step-by-Step Guide appeared first on Invesp.

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Most teams waste time testing low-impact ideas. This playbook helps you focus your CRO roadmap on what actually lifts conversions.

The Four Phases of a CRO Program (The SHIP model)

A successful conversion optimization project follows the same rhythm:

• Scrutinize stage: You conduct various activities to identify potential testing areas within a platform or campaign.
• Hypothesis: Create a hypothesis for each testing idea identified during the “scrutinize” phase.
• Implement: Validate your hypothesis through an A/B or usability test.
• Propagate: You look for insights, share them within the organization and across marketing channels and verticals.

Think of it as a continuous loop rather than a one-time project. Each phase feeds into the next, creating a compounding effect on your site’s performance and learning.

1. Scrutinize — Gather Data and Identify Issues

Your goal here is to uncover why visitors aren’t getting just where they drop off. Most marketers jump straight to testing without understanding the root cause. The Scrutinize phase fixes that by combining data, observation, and empathy to find what’s holding users back.

Think of your website as a sales conversation. When conversions stall, something in that conversation is breaking down. The Scrutinize phase is where you identify which part.

Here’s how to do it step-by-step:

Step 1. Start with quantitative data (the “what”).

Use our analytics to spot friction points.

• In GA4, check where users drop off in your funnel: product pages with high exits, CTAs with low click-throughs, or forms with high abandonment rates.
• Use server-side or event-based tracking to fill gaps left by cookie loss — especially for checkout or login flows.
• Add scroll-depth and click tracking to see which sections lose attention.

Bugs, usability issues, and conversion blockers

I will take a quick detour to discuss the various items we uncover during a website conversion rate audit.

1. Website bugs: areas where the website is broken and not functioning as expected. You should classify the bugs you identified by priority (P1: blockers, P4: small items). Bugs are typically put into the “fix it right away” bucket.
2. Website usability issues: issues where website usability is not ideal. Usability issues are typically classified as either “fix it right away” or “research opportunities” buckets.
3. Conversion blockers: issues that relate to persuading visitors to convert. Conversion issues are typically classified in the “research opportunities” bucket.

 

Many conversion consultants focus their effort on identifying bugs and usability issues on a website and rarely pay close attention to conversion issues. Without getting into a philosophical debate, I firmly believe there is a vast difference between creating a user-friendly website and a high-converting site.

Usability issues:

1. Fixing usability issues on a website makes it user-friendly.
2. Usability issues focus on making the site easier to use
3. Usability issues focus on top-of-mind issues for website users

Conversion issues:

1. Fixing conversion issues on a website creates a user-friendly website (Similar to fixing usability issues)
2. Conversion issues focus on making the site more persuasive
3. Conversion issues focus on psychological items that persuade visitors to convert

Every usability issue is a conversion issue, but not the other way around.

Beyond problems – adding new website features

CROs focus heavily on issues that prevent visitors from converting on a website. However, your research during the scrutiny phase should go beyond that to include potential new features you can implement on the platform to enhance conversions further.

Understanding your initial AB test plans: the research opportunities list

It is not enough to identify a list of research opportunities for a website. You will need to go a step further by determining your initial test hypothesis for each item on the list. The initial test hypothesis identifies how we think the particular issue could be tested/fixed.

A hypothesis is a predictive statement about a possible change on the page and its impact on your conversion rate.

Now, notice how I used the term “initial hypothesis.”

An initial hypothesis is the first stab our team takes on how we should address a potential problem on the website/webpage.

Example of an initial hypothesis:

“Adding social proof will enhance visitor trust in the website and increase conversions”

We use the initial hypothesis to assess each line item on our list of research opportunities. When we decide to implement a particular test, we further develop our initial hypothesis into a

“concrete hypothesis.” Let’s look at the initial hypothesis above and see the concrete hypothesis for it:

Based on qualitative data collected through online polling, we observed that website users do not trust the brand and are unaware of how many users use it. Adding social proof on the homepage will increase visitors’ trust and improve conversion rates by 10%.

A concrete hypothesis

• states how we identified the issue
• indicates the problem identified on the page
• states the potential impact of making the fix (we set an actual numerical goal for the test)

Now that you have your research opportunities list and each item has an initial hypothesis attached, we are ready to prioritize the items on the list.

Prioritizing your AB testing ideas (the research opportunities list)

CRO practitioners have used several frameworks to classify testing ideas. I will cover some common frameworks and suggest using a new model.

Karl E. Wiegers explains:

 “When setting priorities, you need to balance the business benefit that each function provides against its cost and any implications it has for the product’s architectural foundation future evolution.”

Pie by Widerfunnel

The pie framework evaluates items based on three different factors: potential, importance, and effort.

1. Potential: Not all of your testing ideas will have the same potential to increase conversion rates. A good example of this is testing different CTA colors on a page (with little to no real impact) compared to changing the page layout to emphasize the value proposition.

While the potential is significant, it is very subjective. What I might think will have a significant impact on the bottom line, someone else might think it will have no effect.

2. Importance: How important is the page you are optimizing?

The Widerfunnel team defines Importance as follows:

“How valuable is the traffic to the pages? Your most important pages are the ones with the highest volume and the costliest traffic. You may have identified pages that perform terribly, but if they don’t have significant volume of expensive traffic, they aren’t aren’tg priorities.”

According to Chris Goward:

“How do I figure out where to test first?”It’s a smart question to ask. You can’t test all pages at once. With limited time and resources to commit and, most importantly, limited traffic to allocate to each test, test prioritization is an important part of your conversion optimization plan.”

3. Ease: How easy is it to implement the test? Widerfunnel defines ease as:

There are two elements to consider when it comes to ease:

• Technical implementation
• Organizational or political barriers

 

Both of these elements impact how easy it is to implement a testing idea; however, they are somewhat subjective.

Hotwire framework

Pauline Marol, the Lead Product Manager for optimization at Hotwire, introduced this model back in 2015.

Here are the elements in this framework:

• Main Metric
• Location
• Fold
• Targeting
• New Information
• Benchmarking
• Conversion Veins
• Strategic Topic
• Mobile
• Opaque

What I like most about this model is the specificity it provides for the potential problem and potential fix. It also brings into focus how strategic a test is to the overall business objective. According to Pauline Marol: 

“Prioritization is a critical part when building an efficient, impactful testing program. Creating a framework to make smarter choices and thinking deeply about the key factors will make your program successful in the long term.”

PXL framework from CXL

The PXL framework uses the following criteria to score items on your research opportunities list:

• Is the change above the fold? Changes above the fold are noticed by more people, increasing the likelihood that the test will have an impact.
• Is the change noticeable in under 5 seconds? How fast does a user notice the change?
• Does it add or remove anything? The idea is that “removing distractions” or “adding key information: will have more impact.
• Does the test run on high-traffic pages? Changes to “high traffic page(s)” will have a larger impact on the bottom line.
• Designed to increase user motivation: does the introduction of your solution increase visitor motivation? Highly motivated visitors are more likely to convert.
• How was the problem identified?
  • User testing
  • Quantitative data
  • Qualitative data (polls, surveys, etc.).
  • Mouse tracking, heat maps, or eye tracking
• Ease of implementation

The PXL framework is a step in the right direction. Peep listed three main advantages to using it:

1. It makes any “potential” or “impact ” rating more objective
2. It helps to foster a data-informed culture
3. It makes the “ease of implementation” rating more objective

The central theme is the effort to establish a more accurate model for scoring different line items on your list.

I believe that there is room for improvement for the following reasons:

1. All prioritization frameworks use a mix of points to score the identified issue and its potential fix. But a single problem could have multiple possible solutions. And each potential solution should be assessed with a different score.
2. A potential problem could be identified in various ways, which give it a higher score. But does identifying a problem in 4 ways make that problem a more significant issue compared to a problem identified in 3 different ways? At some point, adding more ways to how a problem is detected should not give the problem more weight.
3. There is not enough focus on how a potential solution could impact visitors’ view of the website. PXL does an excellent job of motivating, but there are other criteria we should consider when evaluating a possible solution.
4. The models do not distinguish well enough between the different types of pages (top, middle, and bottom of the funnel).
5. Finally, the models use “high traffic pages” to score a problem. Since analytics provides a specific metric for identifying a high-traffic page, we should use it.

Invesp Prioritization framework

Let me state this again: a particular problem can have multiple initial hypotheses for how to fix it. Some of our team members like to call these testing ideas. This is important because each problem and each initial hypothesis is listed as a separate line item in our prioritization framework.

You can address a single research opportunity in different ways, each requiring different time to implement and having a different impact on the bottom line.

Next are the criteria we use to evaluate each research opportunity:

1. What is the potential Impact?
2. Is the problem above the fold?
3. Was the problem discovered through expert review?
4. Was the problem identified through qualitative research?
5. Was the problem identified through user testing?
6. Was the problem identified through analytics?
7. Was the problem identified through heatmaps/Video recording?
8. Known top competitor feature?
9. Does the test idea enhance primary conversion goal?
10. Is implementing the change easy (politically, LOE)?
11. Adding or removing an element?
12. Does the test idea increase visitor trust?
13. Does the test idea reduce FUDs?
14. Does the test idea incentivize visitors to act right away?
15. Does the test idea increase engagement?
16. What type of change?
17. What type of page?
18. The percentage of page views

Not all of these items carry the same weight.

Let’s discuss some of these elements:

1. Potential Impact: We do think that this is a subjective measure. However, we did not delete it. The value of the impact is high (score of 4), mid-impact (score of 2), and low impact (score of 1).
2. Is the problem above the fold? Where did you uncover the problem? The higher the problem is on a page, the more likely visitors will notice it.
3. How did you discover the problem? Most CROs will conduct a mix of activities to uncover issues on a site. Each of these activities should be called out. These are
4. Expert review (some might refer to it as heuristic analysis)
5. Analytics data
6. Heatmap/session
7. Qualitative data
8. User testing

Most conversion blockers are uncovered through a combination of the above elements. So, we decided to take a weighted average as follows:

If an item is discovered through one method                     score of 3

If an item is identified through two methods                      score of 6

If an item is identified through three methods                    score of 9

If an item is identified through four or five methods        score of 12

4. Known competitive feature: there are instances where you want to test an item because you observed that one of your competitors have implemented. By no means should you understand this as a way to copy your competitors, but you should not ignore them either.
5. Does the test idea enhance the page’s primary conversion goal? Is your testing idea going to increase that conversion goal?
6. Is implementing the change easy (politically, LOE)?
7. Adding or removing an element: Your test can do several things at the same time:

Add or remove an element: scored at 3

Replace an element: scored at 2

Change the location of an element: scored at 1

Emphasize an element: scored at 1

8. Evaluation of visitor-centric factors that would impact how a visitor perceives a page:

• Does the test idea increase visitor trust?
• Does the test idea reduce FUDs?
• Does the test idea incentivize visitors to act right away?
• Does the test idea increase engagement?

Two or more elements give you a score of 6. One gives you a score of 3.

9. Type of change: This focuses on the testing idea at hand. Are you:

• Focused on an element level (changing a single element), scored at 1
• Focused on page level (changing layout or several elements on the page), scored at 2
• Focused on visitor flow around the website, scored at 3

10. Type of page: How is the page classified in your funnel?

• Top of funnel page scored at 1
• Mid-funnel page scored at 2
• Bottom of the funnel page scored at 5
• Global Change scored at 5

11. % of page views: By looking at the % of unique page views the page gets compared to the overall website page views, you can select one of the following values:

Is there a perfect prioritization framework?

I do not think there is a perfect framework out there. We continue to tweak this framework as we work on different projects. On a recent project, our team identified close to 200 research opportunities. We ran it through a previous version of the framework and looked at the results. Some of the top items were confusing to us. It did not make sense for us to start with them. We went back and reworked some of the formulas. I am sure that someone can take the same framework and tweak it further. According to Chris Goward:

“There are no standard rules for which pages are best to prioritize. Your website lives in a unique target market, including factors like your competition, seasonality, and internal cultural environment; all of these affects how your site is used and should be optimized. The priority rating you give each of your potential test pages will depend on this unique business environment.

It is a step in the right direction. We built on existing frameworks and added elements that impact prioritization for our different projects.

You can download the Excel file for the prioritization framework from here.

As always, if you have suggestions, please do let us know

Frequently Asked Questions

What is Conversion Rate Optimization (CRO)?

• Answer: Conversion Rate Optimization, or CRO, is the practice of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. It involves analyzing user behavior and implementing changes to improve the user experience and boost conversions.

What is a Conversion Funnel?

• Answer: A conversion funnel is a series of steps that a website visitor goes through before completing a desired action. It usually starts with attracting visitors to the site and ends with them taking action, such as making a purchase.

What is A/B Testing?

• Answer: A/B testing is a method where you compare two versions of a webpage or app against each other to determine which one performs better in terms of conversions.

How Do I Prioritize My A/B Testing Ideas?

• Answer: Prioritizing A/B testing ideas involves evaluating the potential impact, ease of implementation, and relevance of each test. Frameworks like PIE (Potential, Importance, Ease) or the Invesp Prioritization Framework can help in this process.

What are FUDs in CRO?

• Answer: FUDs stand for Fears, Uncertainties, and Doubts. These are psychological barriers that can prevent a visitor from converting. Identifying and addressing FUDs can significantly improve your conversion rate.

What Does ‘Above the Fold’ Mean

• Answer: ‘Above the fold’ refers to the portion of a webpage that is visible without scrolling. Elements placed here are more likely to be seen by visitors and therefore have a higher impact on conversions.

How Long Does It Take to See Results from CRO?

• Answer: The time it takes to see results from CRO can vary widely depending on the changes made and the metrics you’re tracking. However, a good rule of thumb is to allow at least a few weeks for meaningful patterns to emerge.

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Your site is getting healthy traffic, your campaigns are performing well, but conversions just aren’t where they should be. You open your analytics dashboard and see a familiar pattern—visitors browse a few pages, maybe add something to the cart, and then… drop off.

At that moment, one question keeps coming up: Where do we start optimizing?

Do you fix the landing pages where visitors first arrive? The product pages where they hesitate? Or the checkout that seems to lose the most customers?

This is the challenge every marketer and CRO team faces. Beyond just running A/B tests, optimizing conversion funnels is about deciding where those tests will make the biggest difference.

In this guide, we’ll break down how the conversion funnel actually works, what happens at each stage, and how CRO experts decide where to begin.

Understanding the Conversion Funnel

A conversion funnel shows how visitors move through your website before they buy or complete a goal, such as signing up or requesting a demo.

A conversion funnel tracks every step:

• People first land on your site (awareness).

• Some browse your products or services (interest).

• A smaller group adds items to the cart or signs up (consideration).

• And only a few finally make a purchase or convert (action).

By mapping this journey, you can see where people stop (whether on product pages, forms, or checkout)  and focus your optimization there.

Tools like Google Analytics 4’s Funnel Exploration or FigPii help you see this in action. They let you plot each step of your customer journey. For example, product view > add to cart > checkout > purchase—and then show how many users drop off at every stage. If you notice that 60% of visitors abandon the cart page, that’s a clear signal that your checkout flow needs fixing.

It’s called a funnel because the number of people shrinks at each step. For example, Shopify data shows the average ecommerce conversion rate is only 2.5-3%, meaning most visitors drop off somewhere along the way.

Once you’ve mapped your funnel, it helps to break it into clear sections. Every website, whether ecommerce or SaaS, has three broad stages: from discovering your brand to becoming a paying customer. Understanding these stages is key before deciding where to optimize first.

The Three Stages of the Conversion Funnel

The conversion funnel is usually divided into three parts:

1. Top of the Funnel (Awareness): when people first discover you.

2. Middle of the Funnel (Consideration): when they compare and learn more.

3. Bottom of the Funnel (Decision): when they’re ready to act or buy.

Each stage has a different goal, a different user mindset, and its own optimization focus. Let’s look at what happens at each one.

Top of the Funnel (Persuasion)

This is the first contact visitors have with your brand, usually through an ad, blog post, or landing page. They’re curious but not yet convinced. Your goal here is simple: help them understand why you exist and why they should care.

At this stage, people are forming their first impression. The visuals, copy, and tone should all work together to build curiosity and trust. For example, Lakkadhaara, a handcrafted furniture brand, uses its homepage and Instagram ads to attract first-time visitors.

Once you click their Instagram ad, you’re directed to a landing page with phrases like “Handcrafted Luxury” and “Made in India,” highlighting craftsmanship and identity rather than pushing a sale. What’s more, their imagery, featuring warm lighting, solid-wood textures, and styled interiors, draws users in emotionally before they even view a product detail page.

That’s the essence of top-of-funnel persuasion: create awareness and emotional connection first, then guide users deeper. Keep your landing pages fast, clear, and aligned with the ad or keyword that drove people to them. The copy should highlight your value and end with a single explicit action, like read more, explore collections, or learn about your brand story.

Metric to watch: Bounce rate or time on page. If visitors leave quickly, your first impression isn’t strong enough.

Middle of the Funnel (Informational)

At this stage, people already know who you are and are comparing options. They read product details, pricing pages, or guides. Your job is to build trust and answer objections. Add FAQs, customer stories, or comparison tables that make it easy to evaluate your offer.

Metric to watch: Product-page engagement or demo-request rate. Rising engagement shows growing confidence.

Bottom of the Funnel (Where Conversions Happen)

Now visitors are ready to buy, but they can still change their minds. Even small points of friction here (long forms, surprise fees, poor mobile layout) can kill conversions.

Encourage them to take the final action by making your checkout or sign-up flows short and predictable. Reinforce trust with security badges, reviews, and transparent pricing.

Metric to watch: Cart-abandonment rate or form-completion rate. These tell you how smooth your final step really is.

Where to Start Optimizing Your Conversion Funnel (Expert Insights)

Now that you know what a conversion funnel looks like and how it works from top to bottom, which part of the funnel should you optimize first? To answer this, we reached out to a few conversion rate optimization experts and asked them the same question. Here’s what they had to say: 

Bottom-Up Approach — Spencer Gray’s View

Spencer Gray believes that the bottom of the funnel is often the best starting point, especially when traffic isn’t the problem.

Spencer Gray Senior CRO Specialist at 97th Floor/h4>

“If traffic isn’t an issue and you are getting enough visitors at the bottom of the funnel, we always test there first,” says Gray. “We work bottom-up because our job is to increase conversions, not make the home page pretty. Once the bottom is optimized, we move backward.”

Gray’s approach focuses on immediate ROI: fixing leaks where purchase intent is highest. Optimizing checkout, cart flows, and payment clarity often delivers the fastest measurable gains. He also notes that funnel optimization is cyclical, so after improving checkout, revisit the top of the funnel to ensure traffic quality keeps pace.

Start Where the Data Points You — Brian Massey’s Approach

For Brian Massey, Conversion Scientist at Conversion Sciences, there’s no fixed entry point. The funnel itself and the data within it will tell you where to begin.

Brian Massey Conversion Scientist at Conversion Sciences

“We let the data tell us where we should start,” explains Massey. “If we see people abandoning landing or category pages, we start there. If add-to-cart rates are low, we focus on product pages. It depends on where the problem is.”

Instead of making assumptions, Massey looks at quantitative data, such as funnel visualization reports in GA4 or session recordings in CRO tools like FigPii to locate where users most often drop off or hesitate.

Here’s what this means in practice: 

• If analytics show a high exit rate on category pages, that suggests users aren’t finding relevant products easily, which could point to poor filtering or unclear product hierarchy.

• If add-to-cart rates are low despite good traffic, the issue might lie in how value propositions or product details are presented.

• If checkout abandonment spikes, it could mean hidden fees, too many form fields, or low trust signals at the payment step.

Massey’s approach is diagnostic: begin with data to pinpoint what’s broken before deciding how to fix it. Only after identifying the precise friction point does his team design hypotheses and tests. This process prevents teams from optimizing pages based on assumptions or internal preference rather than measurable evidence.

Prioritize by ROI and Effort — Iqbal Ali’s Approach

Iqbal Ali, creator of A/B Decisions, agrees that data should drive optimization, but he emphasizes an equally important step: weighing each opportunity by its impact and effort.

Iqbal Ali, Creator of A/B Decisions

“I’d start by analyzing the whole funnel to see where the major drop-offs happen,” says Ali. “But what I test first depends on the potential ROI and ease of implementation. If there’s a clear issue with a quick fix and high payoff, that’s where I begin.

In practical terms, Ali’s approach involves funnel mapping first, prioritization second. He recommends using quantitative data, such as conversion paths, session durations, and bounce and exit rates, to pinpoint problem areas, and then layering on a prioritization framework to decide which of those problems to tackle first.

For example:

• If data shows a high drop-off between the product page and the add-to-cart stage, the team might brainstorm several possible causes, like unclear pricing, missing trust signals, and slow-loading images. Among these, a simple content or design tweak (like clarifying pricing or reordering information hierarchy) would likely rank high on ROI and low on effort.

• By contrast, a checkout redesign might also improve conversions but could require weeks of development and QA. In Ali’s view, that would fall lower on the immediate testing list.

Optimize All Ends of the Funnel — Abi Hough’s Approach

Abi Hough, a seasoned CRO consultant, cautions against treating the conversion funnel as something you move through step by step. In her experience, focusing exclusively on one end of the funnel, whether it’s traffic acquisition or checkout optimization, almost always leads to missed opportunities elsewhere.

Abi Hough, CRO Expert

“You should start at both ends,” says Hough. “It’s pointless fixing ads if checkout is broken and equally pointless fixing checkout if your ads take people to irrelevant pages.”

Hough recommends improving both ends of the funnel simultaneously rather than waiting to finish one before starting the other.

Start by splitting your focus into two tracks:

• One team (or workflow) improves acquisition by ensuring ads, offers, and landing pages clearly match what visitors expect.

• The other focuses on conversion — fixing checkout issues, improving trust signals, and reducing page load times.

Her rule of thumb is straightforward: let user research decide what to fix first. If analytics or testing reveals a bug that prevents users from completing checkout, fix it immediately. But once it’s fixed, go back to the top of the funnel and check whether your ads and landing pages are attracting the right audience in the first place.

Your Turn to Start Optimizing Conversion Funnels

There isn’t a single “right” place to begin optimizing your conversion funnel. It depends on what your data and research reveal about how visitors move through your site. The most effective CRO programs combine data analysis, prioritization, and continuous learning.

Here’s a simple process you can follow:

• Step 1: Use funnel analytics in GA4, FigPii, or Hotjar to identify where users drop off or hesitate.

• Step 2: Prioritize opportunities using frameworks like ICE (Impact, Confidence, Effort) or PIE (Potential, Importance, Ease) to determine which tests to run first.

• Step 3: Fix high-impact blockers fast, like checkout bugs, broken CTAs, confusing navigation, or unclear pricing, before moving to creative experiments.

• Step 4: Work on both ends of the funnel simultaneously: align your ad and landing page messaging while improving the checkout flow and trust elements.

• Step 5: Revisit your funnel quarterly. As campaigns, offers, and user behavior evolve, new bottlenecks will appear.

Conversion optimization is a cycle of diagnosing, testing, and refining. The more regularly you review your funnel, the easier it becomes to find quick wins and sustain long-term gains.

If you’d like a partner to help uncover your funnel’s biggest opportunities and design data-driven experiments that consistently lift conversions, Invesp’s CRO experts can help. We’ve spent over 15 years optimizing funnels for global brands, so you can skip the guesswork and focus on growth—start by getting your free conversion assessment.

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