Everywhere you look, you see ads. Amid this chaos, word-of-mouth marketing (WOMM) helps you cut through the noise by doing what algorithms can’t—building trust. 

Whether it’s a quick recommendation in a WhatsApp group, a 15-second TikTok from a micro-influencer, or a glowing review in a niche subreddit, WOMM drives more credible, more lasting influence than traditional media ever could.

This article breaks down the importance of word-of-mouth marketing in 2025, the channels where it’s most active, and the latest data that proves why it’s still your most valuable growth driver. You’ll also find actionable strategies—backed by examples and tools—to help you scale WOMM for your brand.

What Is Word of Mouth Marketing (WOMM)?

Word-of-mouth marketing (WOMM) occurs when customers organically promote a brand, product, or experience through conversations, posts, reviews, or recommendations. It can be spontaneous or sparked by a strategy (like a referral program or community campaign).

In 2025, it will not be just friends chatting that moves the needle. Every time you see referrals in private messages, niche forums, shared user-generated content (UGC), and everyday micro-influencer posts, you can safely say that it’s a part of WOMM. 

Key channels for WOMM in 2025

In 2025, word-of-mouth marketing will spread through more nuanced and fragmented channels than ever before. It’s no longer just face-to-face chats or viral tweets—it’s happening across invisible networks, niche communities, and personal-feeling content formats.

Here are the key channels where WOMM is most active today:

• Dark Social: Think WhatsApp, Instagram DMs, Slack, and email—places where people share product links privately. This is where most recommendations happen, but they’re hard to track. (More on this later.)
  
• Online Communities: Reddit threads, Discord servers, and closed Facebook groups often host authentic, high-intent conversations about brands, especially in niches like skincare, productivity, or sustainability.
  
• User-Generated Content (UGC): Organic posts, videos, and reviews from real customers serve as modern-day word-of-mouth, especially in DTC and creator-led spaces.
  
• Micro-Influencers: Smaller creators with strong community ties outperform larger influencers in trust and engagement. They often act as super-referrers.
  
• Reviews & Testimonials: From product pages to Trustpilot, customer reviews influence discovery and reinforce purchase decisions. It’s one of the most scalable forms of WOM.
  
• Offline Triggers: Thoughtful packaging, real-world experiences, and physical brand moments (like events or pop-ups) help spark conversations, both in person and online.

Word of Mouth Marketing Statistics to Know in 2025

Here are some statistics that prove the power of word-of-mouth in 2025: 

People Trust People More Than Ads—By a Long Shot

A massive 88% of consumers say they trust recommendations from friends and family more than any other type of advertising. 

Think about it: when someone you know says, “This worked for me,” you don’t question it like a paid ad or influencer post. You believe them. You might even go look the product up immediately.

That’s what makes word-of-mouth marketing so powerful. It moves people to act because it feels personal. Brands that focus on creating genuinely great experiences and then make it easy for people to talk about them get the kind of exposure money can’t replicate.

Word of Mouth is Still the #1 Way People Discover New Brands

A 2023 survey found that 36% of U.S. internet users said word of mouth was their leading source of brand discovery, beating out social media ads (32%) and mobile app ads (21%).

This means that, despite the rise of paid performance channels, people still trust people more than algorithms. 

For marketers, this is a reminder: while paid reach gets you in front of people, trust gets them to act. If people aren’t discussing your product on group chats, dinner tables, or Slack threads, you’re missing the channel that drives the highest-intent traffic of all.

Referred Customers Don’t Just Convert—They Multiply

Word-of-mouth becomes a growth loop, not just a one-time win.

A Harvard Business Review study analyzing data from over 41 million customers of a cashback app found that customers who joined through a referral not only purchased more. They also went on to refer 30% to 57% more new customers than users acquired through other channels.

This turns word-of-mouth into a compounding asset. That’s the kind of retention plus acquisition combo most ad campaigns can’t touch.

Referred Customers Stick Around Longer and Spend More

According to multiple studies, customers who come through referrals stay 37% longer and deliver 16% more lifetime value than those acquired through paid ads or cold outreach. 

In other words, they don’t just buy once and bounce. They buy again, engage more often, and are more likely to refer others.

This happens because they enter your brand ecosystem with built-in trust. Someone they know already gave you a vote of confidence, and that shortcut to credibility pays off long after the first purchase.

The takeaway? If you want higher-value customers, don’t just spend more on ads. Build systems that encourage your best customers to bring in more people like them.

Word-of-Mouth Marketing in 2025: Key Trends and How to Capitalize on Them

In 2025, word-of-mouth marketing is unfolding quietly across DMs, Discords, and creator-driven content. 

As consumer trust in polished ads declines, brands are finding smarter ways to spark organic advocacy in the spaces people pay attention to. 

Here are the key trends shaping modern WOMM and how to emulate them to make your business more successful and inspire customer loyalty. 

Micro-Influencers and Nano Communities Are More Trusted Than Celebrities

In 2025, the most influential voices are small, specific, and deeply embedded in their communities. There’s a reason micro-influencers (10K–50K followers) and nano-influencers (<10K followers) are outperforming traditional celebrity endorsements across every primary metric: trust, engagement, conversion, and ROI.

The numbers tell a clear story.

87.7% of all TikTok creators are nano-influencers, and they generate an average engagement rate of 10.3%, nearly triple that of megastars.

Engagement rates decline across all influencer tiers (2021–2024), but nano (1K–10K) and micro (10K–50K) creators consistently outperform larger accounts, maintaining the highest average engagement through 2024. 

63% of shoppers say they’re more likely to buy a product if it’s recommended by a social media influencer they trust. 

But how do you capitalize on micro-inflencer WOMM in 2025? 

Working with micro-influencers shouldn’t feel vague or hard to measure. Here’s how to turn it into a focused, repeatable channel that drives both reach and revenue.

1. Use Modash to shortlist 20–30 creators who already post about your category

Instead of working with whoever slides into your DMs, start with a focused shortlist. 

Use a tool like Modash to filter for creators with 5K–50K followers, at least 3% engagement, and existing content related to your niche—like “mineral sunscreen” if you’re in skincare, for example. 

Finding nano influencers in your niche and based on other filters (Source)

This approach helps you find creators whose audience already trusts them on the topic you’re trying to sell. 

2. Send 10 of them your best product, no strings attached

Reach out with a simple note offering to send them your hero product. Don’t attach any posting requirements or approval steps. Just ship the product, include a handwritten message that reflects your brand tone, and trust the quality to speak for itself.

You’ll often find that 4–5 of those 10 will post something anyway, and organic, unsolicited content performs better than most paid collaborations.

This kind of no-ask gifting is called product seeding—you send your product to creators without asking them to post. It’s personal, low-pressure, and often more effective than paid campaigns. 

Graza, a DTC olive oil brand, did precisely this. They shipped bottles to food creators they genuinely liked and thought aligned with their brand values, added handwritten notes, and didn’t ask for anything. 

The posts came anyway. Small content creators who received the product shared their experiences, generating authentic user-generated content (UGC).

The result? Graza sold out during their first week in business, bringing in $100,000 in revenue. Within three months, they surpassed $500,000 in revenue, all without spending on traditional advertising.

3. Give each creator a trackable URL to measure real impact

The biggest mistake in micro-influencer marketing is not tracking correctly. Every creator should get a unique, UTM-tagged link using Bitly or Switchy. It can look like:

brand.com/lip-oil?utm_source=instagram&utm_medium=influencer&utm_campaign=jenna

This link shows how many clicks each person made, whether they shared it via DMs, Stories, or in a private group.

Without this, all your traffic shows up as “direct,” and you’ll never know which creators helped you grab more eyeballs. 

Most Shares Happen in Dark Social, Not Public Feeds

Word-of-mouth in 2025 will live in private, untrackable channels: DMs, text messages, WhatsApp, Slack, and even Discord. Beyond exchanging messages, these platforms are your customers’ most-used sharing surfaces, and they don’t leave visible traces in traditional analytics.

Analytics expert Steve Lamar recently ran a deep attribution experiment to understand how platforms pass referral data.

By redirecting clicks through uniquely structured subdomains, he managed to track what GA4 misses. Here’s what he found:

• 100% of clicks from TikTok profiles and apps like WhatsApp, Discord, Slack, and Mastodon were attributed as “direct” traffic—completely untrackable via default Google Analytics.
  
• 75% of clicks from Facebook Messenger were also misattributed.
  
• Even mainstream platforms like Instagram (70%), LinkedIn (86%), and Pinterest (88%) mostly passed incomplete or no attribution data.

Dark traffic on major social networks (Source)

This means that even if people actively share your brand, you won’t see it in your dashboards unless you track differently.

But despite its untraceability, dark social is modern-day word-of-mouth. When a friend DMs a product link, shares a TikTok, or mentions your brand in a private Slack channel, they recommend it and influence purchase decisions.

But since it shows up as “direct traffic,” most brands don’t realize what’s working.

So, since you can’t see every share, how do you capitalize on dark social WOMM? Here are some quick tips that can help: 

1. Track smarter with share-optimized URLs. 

Many brands lose visibility because all shared links look the same in their analytics (“direct traffic”). 

The fix? Use custom links with tags. Create trackable URLs using UTM parameters (small bits of info added to the end of a URL) so you know where the click came from.

For example, instead of sharing website.com/product-a, use website.com/product-a?utm_source=whatsapp&utm_campaign=drop1.

This helps you see if someone clicked the link from WhatsApp, email, or Instagram bio, even if it was shared privately.

Pro tip: You can use Bitly for branded, shortened links or Switchy for link retargeting and deeper analytics. 

2. Make it easy to share products via WhatsApp, Messenger, or DMs 

After someone buys a product, gets a discount code, or finishes a quiz, they’re in a high-emotion state. This is when they’re most open to sharing something they love (or just scored) with a friend.

To make the most of this, brands need to remove friction. The best way to do this is by adding “Send to a friend” or “Share on WhatsApp” buttons on post-purchase confirmation pages, wishlists, and quiz result screens.

A great example of this in action: Fashionette, a luxury fashion retailer in Europe, integrated WhatsApp sharing directly into a giveaway flow.

They launched a giveaway campaign where users could click a Facebook ad and join a sunglasses giveaway by clicking “Chat with us” on WhatsApp. 

Once in the chat, users get real-time responses and can easily share the offer with friends, creating a conversational entry point for word-of-mouth.

Users click “Chat with us” on the ad to enter the giveaway via WhatsApp, making it easy to join and share the offer with friends in just a few taps (Source)

This shift to real-time, one-on-one messaging paid off. Fashionette’s WhatsApp flows converted 7.4 times higher than their most engaged email segments, driving a 25% increase in average order value.

3. Watch for sudden traffic spikes—then trace the source

Not all dark social traffic is invisible. Sometimes, the signal is a sharp rise in direct traffic to a specific product or blog page, primarily when you haven’t run paid campaigns or sent emails.

This often means someone shared your link in a WhatsApp group, Discord server, or Slack workspace. But instead of showing up as a referral, it shows up as “direct traffic.”

Here’s what to do: 

• Set up daily traffic alerts in your analytics platform. For example, in Google Analytics 4, you can use “Custom Insights” to trigger alerts when a page’s traffic exceeds a certain threshold—say, 200% of its weekly average. (This guide helps you set up custom insights in GA4.)

Setting up custom metrics in GA4 to track a sudden traffic spike (Source)

• Cross-check those spikes with your marketing activity. Identify this by asking yourself:
  • Did you publish a TikTok, YouTube Short, or Instagram Story in the past 24 hours?
  • Was your product linked in a newsletter, Substack issue, or X thread?
  • Did someone post about you in a Reddit community (search via site:reddit.com yourbrand)?
  • Did a micro-influencer quietly tag or mention you in a private story or channel?

• Correlate timestamped events. Once you notice a traffic spike, dig into the timestamps in your analytics and compare them to when your content—or any third-party content—went live. Let’s say your product page for a “hydrating mist” usually gets around 120 visits daily. On May 5th, you notice 670 visits to that page within two hours, all showing up as “direct traffic.” That’s a red flag for dark social. You check TikTok and discover that a creator with 18,000 followers posted a GRWM (get ready with me) video that morning featuring your mist. That’s likely your referral source—just hidden from plain view in your analytics.

Private Communities Are Becoming Brand Powerhouses

In 2025, brands are seeing more word-of-mouth action inside closed groups than they do on open platforms. Think, Slack channels, Discord servers, subscription-based Substacks, even private Facebook or Geneva groups.

According to a 2024 report by TINT, 40.9% of consumers said they planned to increase their participation in online communities, marking a 9% year-over-year growth. 

But more importantly, it’s working:

• 73.6% of consumers say they purchase more frequently because of a brand’s online community
  
• 75% agree that communities improve the customer experience
  
• 57% report better brand SEO tied to community discussions
  
• 90% of community managers say user suggestions directly inform product improvements
  
• And in some cases, over 30% of total revenue can be traced back to the influence of a brand’s community

So, how do you tap into this in 2025? Here are some quick, actionable tips: 

• Find where your customers already gather. Instead of building your community from scratch, start by identifying where high-intent conversations are already happening. You can use platforms like Common Room to surface mentions of your brand or product across Slack groups, Discord servers, or Reddit threads you care about. 

• Don’t show up to promote, show up to participate. Community members can spot a sales pitch from a mile away. Join as a peer instead of leading with a CTA or product link. Offer value: answer questions, host an AMA (Ask Me Anything), or share honest behind-the-scenes updates from your product or team.
  
• Seed early access or limited drops inside these groups. When members feel they’ve discovered something first, they share it naturally.

If you enter these groups thoughtfully, participate sincerely, and offer value early, the word-of-mouth that follows is more powerful and longer-lasting than any shoutout on a public feed.

Short-Form UGC Is the Most Believable Form of Marketing

Short-form UGC (think 10 to 60-second videos shared by real users) is now one of the most trusted and influential content types in marketing.

Whether it’s a quick “unboxing” on Instagram Stories, a GRWM (get ready with me) TikTok, or a 15-second “before and after” reel, short-form UGC feels real, spontaneous, and relatable. And that’s precisely why people believe it.

And the numbers back this up.

• 73% of consumers say they prefer short-form videos when researching products or services, because they feel more to-the-point and trustworthy.
• Short-form videos generate 2.5x more engagement than long-form, making them more likely to be liked, shared, or saved.
• And when brands use short-form UGC in paid ads, the results are hard to ignore: 4× higher click-through rates and 50% lower cost-per-click compared to traditional branded content.

As we mentioned earlier, a low-pressure seeding campaign is one of the most effective ways to spark this kind of UGC. You send your product to a curated list of creators without any obligations to them and simply trust that those who genuinely love it will talk about it.

Conclusion: Why Word of Mouth Marketing Should Be a Priority in 2025

At a time when paid ads are getting more expensive and less effective, WOMM gives you scalable, high-intent growth without burning budget. It turns your best customers into your best marketers. And in 2025, it’s happening where brands aren’t looking: inside DMs, private Discords, WhatsApp groups, and short-form creator videos.

If you’re serious about scaling WOMM in 2025, here’s where to focus:

• Track private sharing behavior through better attribution (UTMs, GA4 custom insights, link tagging)
  
• Encourage advocacy with smart referral, loyalty, and creator seeding programs
  
• Optimize your site for post-purchase sharing, especially on mobile and messaging-first channels
  
• Test how user-generated content impacts CRO on PDPs, review sections, and post-purchase flows
  

At Invesp, we help brands turn passive word-of-mouth into measurable conversion lifts by testing how, where, and why your best customers are talking.

Want to see how CRO and WOMM overlap on your site? Start a conversation with our team.

The post The Importance of Word Of Mouth Marketing – Statistics and Trends 2025 appeared first on Invesp.

Mobile commerce, or m-commerce, is steadily emerging as the future of online shopping or shopping. 

It’s changing the way we browse, select, and purchase products. With sales projected to hit a staggering $2.52 trillion in 2024, it’s clear that this digital revolution is not just a passing trend but a seismic shift in consumer behavior. 

But what’s driving this incredible growth? From the convenience of shopping on the go to the rise of shopping apps and social media influence, numerous factors are at play. 

In this article, we’ll explore 18 global mobile commerce statistics for 2024 that highlight the soaring growth, technological advancements, and changing consumer preferences shaping the mobile commerce market. 

1. Soaring Growth in Mobile Commerce: A Look at the Future

Mobile commerce, or m-commerce, is rapidly rising, with sales expected to hit a staggering $2.52 trillion in 2025.

This marks a 16.3% increase from the $2.16 trillion recorded in 2023. 

And the growth doesn’t stop here. Statistics predict that mobile commerce sales will soar even higher by 2027, reaching an impressive $3.44 trillion.

Mobile commerce growth statistics (Source)

One can attribute several factors to this upward growth. 

For one, mobile devices make shopping more convenient than any other device. Then, you see the increasing number of smartphone users and the advancements in mobile payment. All of these factors together are contributing significantly to this surge. 

As mobile shopping becomes more user-friendly and secure, more consumers are turning to their phones for their purchasing needs.

Naturally, people are looking for quick, easy ways to shop, and mobile devices offer just that. 

For businesses, this means that having a solid mobile presence is no longer optional—it’s essential. To stay ahead of the curve, companies need to focus on optimizing their mobile shopping experiences and mobile commerce to drive sales and growth.

2. Exploring the Surge in Global Mobile Usage: A Catalyst for Mobile Commerce Expansion 

Mobile commerce is going through a considerable transformation, with a steady increase in mobile phone users. 

According to the latest data from GSMA Intelligence, there are now 5.61 billion unique mobile phone users globally. This marks an impressive growth of 138 million new users over the past year.

Global mobile usage statistics (Source)

Unique mobile users are at a current growth rate of 2.5 percent per year. This boost is not just in numbers—it’s also about the shift in technology. 

A massive number of mobile users are transitioning from basic feature phones to relatively more advanced smartphones. This transition paves the way for multiple opportunities for mobile commerce.

Smartphones offer a richer, more interactive experience compared to feature phones. Smartphones also come with better internet connectivity, larger screens, and more powerful processors, making them more suitable for mobile shopping. 

The result? An increase in mobile commerce activities as people find it more convenient to shop, make payments, and access services on the go.

3. The Convenience of Mobile Shopping 

For shoppers today, convenience is king, and mobile shopping is leading the charge. 

According to research by Dynamic Yield, 76% of shoppers use their mobile devices to make purchases because it saves them time​​. 

Mobile shopping data (Source)

This trend clearly indicates how integral smartphones are to our daily lives, not just for communication but as a tool for efficient and hassle-free shopping.

So, what’s the appeal? The biggest reason is that smartphones take just a few taps, allowing you to find what you want, buy it, and get on with your day. 

Plus, with all the cool shopping apps and social media, finding and buying stuff has never been easier. It’s no wonder mobile shopping is on the rise now. 

4. ​​The Rise of Shopping Apps in Mobile Commerce

Shopping apps are taking over the mobile commerce world. 

According to statistics, shopping apps are growing faster than any other type of app, with people using them 48% more than the average app. 

Mobile shopping app data (Source)

What’s the reason behind this massive rise? The biggest reason is that they make shopping super easy and personal. You get alerts about deals, can pay quickly, and even get suggestions based on what you like.

Since COVID-19, even more folks are shopping on their phones, pushing businesses to step up their app game. So, if a business wants to keep up, they need a great shopping app that makes the buying experience a breeze.

5. Impact of Social Media on Mobile Commerce Purchase Decisions 

According to the latest Future of Mobile Commerce report, 55% of users have made a purchase after discovering a product on social media. 

This shows how important social media is when it comes to influencing consumer behavior and purchasing decisions. 

Social media platforms like Instagram, Facebook, and Twitter are especially popular and have now become indispensable for brands, making it essential to promote and display their products, engage with their audience, and drive sales. 

What makes social media so popular and a big driving force for online consumers? 

The visual and interactive nature of social media allows users to discover new products easily. Now, consumers can make purchasing decisions based on what they see and the recommendations they receive from their network and favorite social media influencers. 

6. Boost in Sales from Social Media Presence

The same study suggests that stores with a social media presence witnessed a 32% increase in sales compared to those relying solely on traditional methods. 

This highlights the importance of having an active and engaging social media strategy for businesses. 

Maintaining a stellar social media presence can help you: 

• Reach a wider audience,
• Build brand awareness,
• Create a sense of community around your products. 

The increased visibility and engagement can directly translate into higher sales as consumers are more likely to purchase from brands they feel connected to and trust.

7. The Rise of Mobile Wallets in Global E-Commerce 

Studies predict that by 2026, mobile wallets will account for over 54% of online payment transactions worldwide.

In 2022, mobile wallets became the go-to method for online shopping, making up about half of all global e-commerce payment transactions. 

That’s a big deal! It means that when people shop online, they choose to use digital wallets like Apple Pay, Google Wallet, and others more than any other payment method. 

What is fueling this sudden rise in mobile wallets? 

They’re super convenient, for one. Instead of typing in your card details every time you shop, you can use your phone to pay quickly and securely. 

Plus, with more and more people using smartphones, it’s easier than ever to use a mobile wallet.

8. Consumer Preference for AR Experiences 

61% of consumers say they prefer retailers that offer augmented reality (AR) experiences while shopping. 

This hints at the growing interest in interactive and immersive shopping experiences. 

And why not? AR technology allows customers to visualize products in their own space or see how they might look wearing certain items, making online shopping more engaging and personalized. 

As AR becomes more mainstream, consumers are increasingly seeking out retailers that provide these innovative experiences.

9. Retailers’ Preparedness for AR Integration

On the flip side, 52% of retailers admit they are unprepared or unwilling to integrate AR into their retail operations. 

This gap between consumer demand and retailer readiness presents a challenge for businesses. 

Many retailers may lack the technical expertise, infrastructure, or financial resources to implement AR solutions. As a result, there’s a pressing need for retailers to invest in AR technology and training to meet consumer expectations and stay competitive in the digital marketplace.

10. Voice Search: A Growing Trend in Mobile Commerce

Voice search is becoming increasingly popular in mobile commerce. In fact, 27% of searches on mobile devices are now voice-based. 

This trend is driven by the convenience and ease of use that voice search offers. Instead of typing out a query, users can simply speak into their device and receive instant results.

This shift towards voice search also changes how businesses approach SEO and online marketing. To stay competitive, you’ll need to optimize your content for voice search, focusing on natural language and question-based queries. 

11. Voice Shopping: A $40 Billion Milestone in Mobile Commerce

By 2022, voice shopping sales soared to $40 billion—a remarkable milestone in mobile commerce. 

This significant growth highlights the increasing popularity of using voice commands for shopping through smartphones and smart speakers like Amazon Echo or Google Home.

As technology evolves, we can expect voice shopping to become an even more integral part of consumer’s shopping habits, making it easier and more convenient for everyone.

This makes it more important than ever to optimize your mobile commerce assets for voice search. 

12. In-Store Mobile Shopping Habits

A recent global survey revealed that 56% of in-store shoppers use their smartphones to research items or even shop while they are in a store.

This shows that even when people shop in stores, they still rely on mobile devices as a shopping tool. 

The convenience of smartphones allows shoppers to compare prices, read reviews, and check for online deals while standing in the aisles. 

This behavior has significant implications for retailers, as it blurs the lines between online and offline shopping experiences. This also makes it necessary for businesses to work on their online presence and pricing strategies with equal care as they do with their offline presence, knowing that customers have instant access to a wealth of information right at their fingertips.

13. Desktop vs. Mobile: The Conversion Rate Divide in Global Mobile Commerce

When it comes to online shopping, desktops are still ahead of the game with a 3% conversion rate, meaning more folks who browse on their computers are likely to hit that “buy” button compared to those on mobile devices, which have a 2% conversion rate. (Source)

The conversion rate of online shoppers on different devices (Source)

Despite the convenience of shopping on the go, this difference shows that there’s still a special something about shopping on a bigger screen that gets people to commit. 

14. Fastest-Growing E-commerce Categories in Global Mobile Commerce

Fastest-growing ecommerce categories include: 

• Auto and parts (with 30.1% year-on-year growth)
• Food and beverage (20.7% year-on-year growth)
• Apparel and accessories (15.4% year-on-year growth)
• Health, personal care, and beauty (15.1% YoY growth)

These trends highlight the evolving consumer preferences and the increasing reliance on mobile devices for shopping across various categories. 

15. Age Trends in Mobile Commerce Usage 

Mobile commerce isn’t just for the younger crowd. In fact, a surprising trend emerges when we look at the age demographics of m-commerce users in the United States. 

The generation aged 30 to 49 is at the forefront, with 92% of them using their mobile devices for shopping. This is a bit higher than the 87% of users aged 18 to 29 who are also embracing m-commerce. (Source)

This shift could be due to a variety of factors. For one, the 30 to 49 age group is often in a more stable financial position, with more disposable income to spend on online shopping. 

They’re also more likely to have families, which can increase the need for the convenience that mobile shopping offers. Plus, this age group is tech-savvy enough to navigate mobile commerce platforms with ease. 

16. The Rise of Augmented Reality in Mobile Commerce

Augmented reality (AR) technology is making considerable strides in the mobile commerce industry. 

Back in 2016, the revenue generated from consumer standalone and embedded AR mobile apps worldwide was a notable $725.4 million—which has been on an upward trajectory since then. (Source)

This figure was just the beginning of an upward trend that has continued to revolutionize the way we interact with mobile commerce.

17. Mobile Commerce Dominates the APAC E-Commerce Landscape

In the Asia-Pacific (APAC) region, mobile commerce isn’t just a trend; it’s become the norm. In 2022, more than half of all e-commerce transactions were made on mobile devices across almost all countries in the region. 

The only exception was Japan, where mobile commerce accounted for 39% of e-commerce sales. But even in Japan, the convenience of shopping on smartphones and tablets is catching on fast.

Mobile Commerce Trends in APAC by Country, 2022-2026 (Source)

This growth of mobile commerce in the APAC region will likely continue. 

South Korea, in particular, is leading the charge. By 2026, it’s predicted that 77% of e-commerce sales in South Korea will be made through mobile devices. 

For businesses operating in the APAC region, these statistics highlight the importance of optimizing their online presence for mobile devices.

18. Dominance of Mobile in Paid Search Advertising

In the second quarter of 2021, mobile devices accounted for over two-thirds of total paid search ad clicks across major U.S. search properties like Google and Microsoft. (Source)

This statistic reveals the growing dominance of mobile in the online advertising ecosystem.

Advertisers are shifting their focus to these platforms as people increasingly turn to their smartphones and tablets for browsing and shopping. 

The Future of Shopping: Embracing the Global Mobile Commerce Surge

These global mobile commerce trends and statistics underscore that m-commerce isn’t just growing—it’s booming. With sales projected to reach trillions by 2024 and mobile devices becoming an integral part of our shopping habits, it’s clear that the future of commerce is in the palm of our hands. 

From the convenience of shopping apps to the influence of social media, the ecommerce and retail sectors are changing right before our eyes. 

The rise of mobile wallets, augmented reality, and voice shopping are just a few examples of how the shopping experience is becoming more accessible and personalized.

The post 18 Global Mobile Commerce Statistics For 2025 appeared first on Invesp.

Are you tired of running A/B tests and ending up with inconclusive results? There’s another dilemma about which test method to choose and which fits your goals the best. 

Many marketers and product managers face these challenges when optimizing their websites or products. But don’t worry, there’s a solution to your pain points: understanding the Frequentist and Bayesian approaches to A/B testing.

In this article, we’ll talk about these two most prominent A/B testing methods. We’ll explore their methodologies, advantages, disadvantages, and when to use each. By the end, you’ll have a clearer understanding of which method is better suited for your testing needs, helping you make more informed decisions and achieve more reliable results. 

Frequentist Approach

The Frequentist approach is a traditional way of looking at statistics based on how often things happen in repeated experiments. It relies on the long-term behavior of data, assuming that probabilities are related to the frequencies of events in repeated trials.

In the context of A/B testing, the Frequentist approach compares two versions (A and B) by looking at the observed differences in outcomes – click-through rates, conversion rates, or any other key performance indicators.

Imagine you’re flipping a coin. If you flip it 100 times and it comes up heads 55 times, you might say, “This coin seems fair because heads came up about half the time.”

Let’s say you’re testing two website designs, A and B, to see which one gets more clicks. You show design A to 100 people and design B to another 100 people. If design A gets 60 clicks and design B gets 40 clicks, you might think, “Design A is probably better.”

But you want to be sure it’s not just by chance. So, you use the Frequentist approach to calculate the likelihood that the difference in clicks is real, not just luck. If this likelihood (called the p-value) is very low, you can confidently say that design A is better.

The Frequentist approach is a careful way of making decisions based on how often things happen in tests or experiments. It helps you determine if what you see is likely true or just a fluke.

Methodology in A/B testing: Null Hypothesis and Alternative Hypothesis

Step 1. In Frequentist A/B testing, the process begins with formulating two hypotheses. 

• Null Hypothesis (H0): This hypothesis assumes that there is no significant difference between the two versions being tested. This is the assumption that there’s no difference or effect. For example, if you’re testing two website designs, your null hypothesis might be “Design A and Design B have the same click-through rate.”  Remember, H0 is the default assumption we aim to disprove.
• Alternative Hypothesis (H1): Suggests that there is a significant difference between the two versions. This is what you’re trying to prove. For example, “Design A has a higher click-through rate than Design B.”

So, how does this translate to A/B testing?

The goal of the A/B test is to determine whether there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.

Imagine testing two website layouts. H0 would be “both layouts convert equally.” We collect data on conversions (potion successes!), calculate p-values, and voila! Based on the p-value, we declare a winner or remain undecided.

Before formulating your two hypotheses, don’t forget to define your objective and metrics. 

What do you want to test? Are you optimizing conversion rates, engagement, or something else? Clearly define the primary and secondary metrics you’ll use to measure success.

Step 2. The next step is to choose your variations and sample size: 

• Variation Variety: Define the variations you want to test. This could include different versions of a product page headline, call-to-action buttons, or entire website layouts. Ensure the variations are distinct enough to yield meaningful results.
• Sample Size: Use a power analysis tool to determine the minimum sample size needed for statistically significant results. This depends on the expected effect size, desired significance level, and power. Remember, a larger sample size increases the likelihood of detecting true differences but also requires more data collection time.

Step 3. Next, decide on the significance levels and p-values. 

• Deciding on a Significance Level: This pre-defined threshold determines the confidence level required to reject H0. It helps decide when to say there’s a real difference between the two versions. Commonly used values are 0.05 (95% confidence) or 0.01 (99% confidence).
  
  Choosing a lower alpha makes you more cautious, requiring stronger evidence for a significant difference, while a higher alpha increases the risk of false positives (mistaking chance for a real effect).
• Looking at the p-Value: p-value is a crucial concept in Frequentist A/B testing and acts as your evidence meter. It represents the probability of observing your test results if H0 (no difference) were true. Think of it as the chance of seeing such a difference purely by random chance. If this number is smaller than your significance level, you can say there’s a real difference.
• P-value and alpha: The significance level (alpha) sets the bar for how low the p-value needs to be for you to reject H0. For example, with alpha = 0.05, if your p-value is less than 0.05 (5%), you have strong evidence against H0 and can declare a statistically significant difference.

Step 4. Finally, design and implement the test:

• Randomized Royalty: Ensure your test is truly randomized. Users should be randomly assigned to each variation, eliminating bias and ensuring fair comparison. Ensure you take assistance from online A/B testing tools like FigPii and Optimizely to simplify the process.
• Distribution Detective: Monitor user distribution across variations throughout the test. Watch for imbalances that might skew results and take corrective measures if needed. For example, similar traffic volumes for each variation should be ensured to avoid biased data.
• Data Quality Duchess: Be vigilant about experiment data quality. Regularly monitor for errors, missing values, or suspicious patterns that might compromise your conclusions. Clean and reliable data is the cornerstone of robust analysis.

Quick Tips for Doing It Right

• Keep Things Fair: Ensure other factors don’t affect your test results. Randomly assigning people to different versions can help.
• Check Your Results Carefully: Keep an eye on your p-value, but don’t check too often, as it can mess up your results.
• Think About What It All Means: Even if you find a significant difference, make sure it’s meaningful for your goals.

Advantages and Disadvantages of Frequentist A/B Testing Method

The Frequentist approach – emphasizing hypothesis testing and p-values – is a cornerstone of A/B testing. But it comes with its own set of advantages and disadvantages.

Advantages of the Frequentist Approach:

• Easy to understand and interpret: The Frequentist approach is based on well-established statistical principles, making it relatively accessible even if you have a basic understanding of statistics. The concept of p-values and significance levels is also pretty straightforward, making it easier to communicate results.
• Controls for false positives: By pre-defining the significance level (alpha), the Frequentist approach inherently reduces the risk of declaring a significant difference when it’s just due to chance. This helps maintain scientific rigor and avoids misleading conclusions.
• Well-documented and supported: The Frequentist approach boasts a long history in various scientific fields, leading to extensive documentation and abundant resources. This knowledge base facilitates learning and ensures you leverage a well-tested methodology.
• Widely used and accepted: The Frequentist approach remains popular in A/B testing across diverse industries due to its simplicity and clarity. Its widespread adoption allows for easier comparison of results from different studies and facilitates collaboration within the A/B testing community.

Disadvantages of the Frequentist Approach:

• Limited to point estimates: The Frequentist approach primarily provides point estimates, like the observed difference between variations. It doesn’t offer direct insights into the probability or range of possible values for the true effect size.
• Reliance on large sample sizes: To achieve statistically significant results, the Frequentist approach often requires larger sample sizes than other methods like the Bayesian approach. This can be time-consuming and resource-intensive, especially for smaller businesses or startups.
• Sensitivity to prior knowledge: The Frequentist approach doesn’t readily consider prior knowledge or expectations about the potential effect size. This can lead to missed opportunities or inaccurate conclusions, especially when dealing with limited data.
• Potential for p-hacking: Focusing on p-values can incentivize practices like “p-hacking,” where researchers manipulate data or analysis methods to achieve a desired p-value. 

Bayesian Approach

The Bayesian method in A/B testing is a statistical framework that incorporates prior knowledge or beliefs (like the detective’s intuition) alongside data from the experiment to estimate the true effect size. 

It uses Bayes’ theorem, a powerful equation, to update its understanding of the variations’ being tested as data accumulates.

Unlike the Frequentist approach, which relies solely on data from the current experiment, the Bayesian approach allows for updating probabilities as new data becomes available.

Let’s consider it with an example. 

Imagine you’re trying to guess how likely your friend will win a game. Before the game starts, you have an initial guess based on what you know about your friend’s skills. This is your “prior” belief.

You watch your friend play and gather new information as the game progresses. In the Bayesian approach, you use this new information to update your initial guess. This updated guess is called the “posterior” probability.

The beauty of the Bayesian approach is that it’s a continuous process. As more and more data comes in, you keep updating your beliefs. It’s like constantly adjusting your guess based on the latest evidence.

Let’s say you want to predict whether it will rain tomorrow.

Your prior belief might be based on the fact that it’s been raining a lot recently, so you think there’s a 70% chance of rain.

Now, suppose a weather forecast predicts sunny weather. You combine this new information with your prior belief to update your prediction. After considering the forecast, you might adjust your belief to a 40% chance of rain. This new probability is your posterior belief.

E-commerce platforms can also leverage the Bayesian approach to personalize product recommendations, dynamically tailoring them to each user’s browsing history and purchase behavior.

The Bayesian approach is a way of doing statistics that combines what you already know with new data to make better predictions. It’s like continuously refining your guesses as you learn more information.

Methodology in A/B testing:

Here’s how to go about it:

Step 1: Define your objective and metrics:

• What are you aiming to test? Like the Frequentist approach, clearly define your objective and identify the key performance indicators (KPIs) to measure success.

Step 2: Define your “Prior”:

• Prior Distribution: Instead of H0 and H1, like in the Frequentist approach, you’ll define a prior distribution for your expected effect size. Start with a prior belief about the metric you’re testing (e.g., conversion rate).
  
  This belief is based on past data or expert opinion. For example, if, based on past tests, you expect Layout A to convert 2% better than Layout B, your prior distribution might be centered around a 2% difference with some uncertainty.

Step 3: Choose your variations and sample size:

• Like the Frequentist approach, select the variations you want to test and determine the minimum sample size needed for reliable results. Consider factors like expected effect size, desired precision, and prior knowledge when choosing the sample size.

Step 4: Update your belief:

• Posterior Distribution: Use the data from your A/B test to update your prior belief. This is done using Bayes’ theorem, which combines your prior with the likelihood of observing the data. The result is the posterior distribution, representing your updated belief about the conversion rates.

Step 5: Make decisions

• Analyze results and draw conclusions: Instead of p-values, the Bayesian approach provides posterior distributions for the effect size. This shows the range of possible values and their associated probabilities. Analyze these distributions and their credibility intervals to draw conclusions about the true difference.
• Final decision-making: Based on the posterior distributions and your understanding of the context, make informed decisions about which variation to adopt or whether further testing is needed. Remember, Bayesian conclusions are based on data and prior knowledge, not just a single p-value.

Step 6: Continuous learning

• Updating with new data: As more data becomes available, you can update your posterior distribution again. This helps you continuously learn and refine your beliefs.

In simple terms, the Bayesian approach in A/B testing is like making a smart guess, checking it with real data, and then updating your guess to make better decisions. And the more you learn, the smarter your decisions can be!

Quick Tips for Doing It Right

Here are three major tips for doing Bayesian A/B testing right:

• Choose an Appropriate Prior: Start with a prior that reflects your existing knowledge or beliefs about the metric you’re testing. This sets a solid foundation for your analysis.
• Interpret Probabilities Carefully: Focus on the probability that one version is better than the other rather than just looking at average results. This gives you a more nuanced understanding of your test outcomes.
• Update with New Data: Be prepared to update your analysis as more data comes in continuously. This allows you to refine your conclusions and make more informed decisions over time.

Advantages and Disadvantages of Bayesian A/B Testing Method

Advantages of the Bayesian Approach:

• Leverages prior knowledge: Unlike the Frequentist approach, which starts with a blank slate, the Bayesian approach allows you to incorporate valuable insights from past experiences or industry trends. This is particularly beneficial when dealing with limited data, where past knowledge can be a guiding light.
• Adapts to new information: The Bayesian approach continuously updates its beliefs as new data arrives, reflecting a more dynamic and data-driven perspective than the Frequentist approach’s fixed hypothesis. This adaptability can lead to quicker identification of significant effects or evolving trends.
• Provides richer insights: Beyond point estimates, the Bayesian approach offers probability distributions for the true effect size. This provides a clearer picture of the range of possible outcomes and associated uncertainties, enabling more nuanced decision-making.
• Flexibility in stopping rules: Unlike the Frequentist approach’s reliance on pre-defined significance levels, the Bayesian approach allows for more flexible stopping rules based on the accumulated evidence and desired level of certainty. This can save time and resources by stopping inconclusive tests early.

Disadvantages of the Bayesian Methodology:

• Subjectivity in prior selection: Choosing the right prior distribution is crucial, as it can significantly influence the results. Biasing the prior can lead to misleading conclusions, requiring careful consideration and justification.
• Computationally intensive: The Bayesian approach often involves complex calculations, which can be computationally demanding, especially for large datasets. This can be a barrier for smaller businesses or individuals with limited computing resources.
• Potential for overfitting: If the prior belief is too strong relative to the data, the Bayesian approach might overfit the results to the prior, leading to inaccurate conclusions. This highlights the importance of carefully selecting and justifying the prior distribution.
• Understanding interpretation: While the flexibility of Bayesian results is valuable, interpreting probability distributions and credibility intervals requires a deeper understanding of statistical analysis and concepts than simply relying on p-values in Frequentist statistics.

Comparison and Considerations: When Should We Use Frequentist vs. Bayesian?

The key differences between Bayesian and frequentist approaches lie in their treatment of prior knowledge, observed data, interpretation of results, and handling of sample size and multiple variations. The choice between the two approaches depends on the following factors:

A. Prior knowledge incorporation:

Bayesian Approach: Bayesian methods allow for incorporating prior knowledge or beliefs about the parameters being tested. This prior information is combined with the observed data to update the beliefs and produce a posterior distribution.

Frequentist Approach: Frequentist methods typically do not incorporate prior knowledge explicitly. They rely solely on the observed data and make inferences based on the likelihood of observing it under different test hypotheses.

B. Treatment of observed data:

Bayesian Approach: In Bayesian statistics, the observed data are used to update the prior beliefs and produce a posterior distribution. This distribution represents the updated knowledge about the parameters being tested.

Frequentist Approach: Frequentist methods treat the observed data as fixed and use them to calculate statistics such as p-values, confidence intervals, and test statistics. The interpretation is based on the probability of observing the data given a specific hypothesis.

C. Interpretation of results:

Bayesian Approach: Bayesian methods provide a probability distribution over the parameters of interest, allowing for direct probabilistic statements about the parameters. This can lead to more intuitive interpretations of results.

Frequentist Approach: Frequentist methods typically provide point estimates, confidence intervals, or hypothesis test results. Interpretations are based on the long-run properties of these estimators or tests, which may not always be intuitive.

D. Handling of sample size and multiple variations:

Bayesian Approach: By incorporating prior information, bayesian methods can handle small sample sizes more effectively. They can also adapt to situations with multiple variations by adjusting the prior distributions accordingly.

Frequentist Approach: Frequentist methods often require larger sample sizes to achieve desired levels of statistical power. Handling multiple variations may involve adjustments to significance levels or the use of multiple testing corrections.

Common Use Cases of the Frequentist and Bayesian Approach 

Frequentist Approach Use Cases: 

• Large-scale A/B tests where sample size is not an issue.
• Regulatory environments where a binary decision is required.
• Situations where the goal is to determine if an effect exists.

Bayesian Approach Use Cases: 

• Early-stage product development with small sample sizes.
• Tests where incorporating expert knowledge is valuable.
• Continuous testing environments where decisions need to be updated frequently.

Bayesian vs. Frequentist: Finding the Right Fit for Your A/B Testing

When finding an A/B testing method, there’s no one-size-fits-all winner. Each method has strengths and weaknesses; the best choice depends on your specific testing needs.

For example, the Frequentist approach might be your go-to if you have a large sample size and need clear, binary decisions. It’s straightforward and widely accepted, making it a reliable choice for many standard A/B tests.

On the other hand, if you’re working with smaller sample sizes or want to incorporate prior knowledge into your testing, the Bayesian approach could be your best bet. It’s flexible and provides richer insights, allowing you to update your results based on updated data. 

The post Bayesian vs. Frequentist AB Testing: Which Testing Method Is Better appeared first on Invesp.

Check out our infographic to know about the growing importance of social media influencers and how social media influencers impact online buying decisions.

Infographic by- Invesp Conversion Rate Optimization Company

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<a href=”https://www.invespcro.com/blog/images/blog-images/social-media-influencers.jpg”><img src=”https://www.invespcro.com/blog/images/blog-images/social-media-influencers.jpg” alt=”How Social Media Influencers Are Impacting Online Buying Decisions- ” width=”580″></a></p><br /><br /><br /> <p>Infographic by- <a href=”https://www.invespcro.com/”>Invesp Conversion Rate Optimization Company</a>

70% of teenagers say they trust influencers more than traditional celebrities.

40% of people say they have purchased a product online as a result of seeing it being used by an influencer on social media.

49% of consumers rely on product recommendations shared by influencers for their purchases

72% of customers trust a business more after it is recommended by an influencer

Consumers Trust Influencers 94% More than Friends or Family When Making Shopping Decisions

92% of shoppers trust influencer reviews over classic ads and celebrity endorsements

33% of those participating in the survey admitted that social media influencers are their most trusted sources for shopping

43% of respondents said authenticity was the top reason to “trust” an influencer; 39% said the expertise of the influencer would make them trust the endorsement.

44% of all respondents said they have considered purchasing a product or service based on a social influencer post

24% said they have recommended a product or service based on an influencer post.

The post How Social Media Influencers Impact Online Buying Decisions- Statistics and Trends appeared first on Invesp.

Infographic by- Invesp Conversion Optimization Company

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56% online consumers between the age of 18-34 years expect to have same day delivery. Whereas 61% consumers are willing to pay more for the same-day delivery

49% of shoppers say that same-day delivery makes them more likely to shop online

96% of customers consider “fast delivery” to mean same-day delivery

80% of shoppers surveyed want same-day shipping, while 61% want their packages even faster — within 1-3 hours of placing an order.

More than 25% of shoppers would abandon a cart online if same-day shipping wasn’t available

Top two reasons for using same-day delivery:

%age of Global online shoppers that would abandon an order if same delivery wasn’t an option (By category)

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Infographic by- Invespcro.com

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87% of in-store shoppers look for information online before shopping, 79% while visiting store and 35% after visiting a store.

2 in 3 shoppers who tried to find information within a store didn’t find all the info they need.

71% of in-store shoppers use smartphones for online research say their device has become more important to their in-store experience.

3 in 4 in-store shoppers who find local information in search results are more likely to visit stores.

Estimated 56% in-store sales are influenced by a digital interaction.

Estimated Digital Influence on In-store Shopping by Category

How often consumers research product prior to shopping in brick and mortar store ( By age)

How often consumers research product prior to shopping in brick and mortar store ( By gender)

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Infographic by- Invespcro.com

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73% of customers find live chat to be the most satisfying way of communicating with a business

42% of customers selected live chat as their preferred method of giving contact information, higher than any other lead generating method

With customer satisfaction rate of 92%, live chat generates more leads than phone, email or social media support

44% of online consumers say that having questions answered by a live person while in the middle of an online purchase is one of the most important features a Web site can offer.

63% of consumers are more likely to return to a website that offers live chat

73% of customers were satisfied with their live chat experience compared to email (51%) and phone (44%)

77% of customers won’t make a purchase if there’s no live chat support

Chatters spend 60% more per purchase than non-chatters.

38% of customers have said that they have made a purchase due to a good live chat session itself

Addition of live chat software to a website typically causes a 20% increase in conversion. Chatters are 2.8x more likely to convert than visitors who don’t chat

Top Reasons why Live Chat is Preferred

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You can just check the astounding Dropbox 3900% growth over 15 months, reaching over $1 billion in annual revenue run rate in 2017. Or Slack’s 63% paid seat growth in 5.5 months. Or Zendesk’s dollar-based net expansion rate of 115% during the fourth quarter of 2016. But SaaS companies need to grow at these impressive rates.

Unlike companies in other industries, which would happily welcome a 20% annual growth, a software company growing at 20% annually has a 92% chance of extinction within a few years.

To help you benchmark your marketing efforts and focus points in driving growth, our new infographic on SaaS Customer Acquisition brings the top growth activities for SaaS business, the most commonly tracked metrics, as well as the investments on customer retention.

Infographic by- Invespcro.com

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You will also find out that not requiring a credit card for sign-up generates double the customers from free trials.

The likelihood of a trial user becoming a paying customer increases as well, by 70%, when sales reps contact the users. 89% of SaaS businesses treat “New Customer Acquisition” as their highest growth priority followed by 59% who treat “Existing Customer Renewals” and 46% who treat upselling and add-on sales as high priority.

Top Customer Acquisition Metrics Tracked by SaaS Businesses

Percentage of New Businesses that come from Free Trial and Freemium

SaaS companies that allow sign-ups without a credit card generate twice as many paying customers from their free trial.

Active trial users that are contacted by a sales rep are 70% more likely to buy the paid service than those that aren’t.

44% of SaaS companies offer a free trial Out of which 41% use a 30-day trial

52% of SaaS companies increased their spending on customer retention last year.

50% of paying customers log in to their SaaS service less than once a month (or not at all)

SaaS Usage Frequency by Paying Customer

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Infographic by- Invesp Landing Page Optimization Company

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Estimated average monthly value of Successful Fraud Transaction

Top Chargeback Reasons

68% of online businesses were anticipating more fraud this year and 62% plan to invest more in fraud prevention

58% of cardholders do not contact the merchant at all – filing the dispute directly with the bank.  Only 14% of cardholders contact merchants prior to charging back

40% of consumers who file a fraudulent chargeback will do it again within 60 days and 50% within 90 days.

Credit card chargebacks are rising at a rate of 20% per year, and friendly fraud rose 41% over the last two years

Top Challenges for Merchants to Quickly Distinguish and Confirm Fraud

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Many books have been written, articles published online, videos produced, and agencies formed.

As experts and thought leaders in the industry, we’ve put together a list of conversion optimization resources (best books on conversion rate optimization etc).

We’ve compiled a list of the top 100 conversion rate optimization books, videos, and articles that you need to own, bookmark, and/or read on conversion optimization.

Conversion Rate Optimization Books

1. Don’t make me think – Steven Krug
2. Considered by many experts as the ‘layperson’s usability bible’. This book is recommended for all those who want to know how to get started with web usability. It’s also a great refresher course in the basic steps for advanced users as well.

2. Web Analytics: An Hour A Day – Avinash Kaushik
3. This book provides a step–by–step guide into creating a successful web analytics strategy. The book helps you glean more than the average number of actionable insights from your web analytics data.

3. Call To Action – Bryan Eisenberg
4. This book provides foundational information on how to plan, achieve and evaluate performance results.

4. Landing Page Optimization by Tim Ash
5. Tim Ash is the Founder of Conversion Conference and CEO of SiteTuners. This book explains all the basics and goes beyond specific roles to provide a practical and pragmatic view of CRO.

5. Conversion Optimization: The Art and Science of Converting Prospects into Customers– Ayat Shukairy and Khalid Saleh
6. The book introduces  the Conversion Framework process developed by the folks here at Invesp and used by optimization teams across the globe to help companies increase their website conversion rates.

6. Always Be Testing – Bryan Eisenberg
7. This is one of the first books that focused on conducting A/B and MVT testing. Although many tools have been developed since then, this book continues to be one of the best in the field.

7. You Should Test That – Chris Goward
8. The book helps you learn how to convert your leads into buying customers. This book helps you understand the testing procedures that are necessary to optimize website elements in order to encourage visitors to take specific actions.

Beginner Guides On Conversion Optimization

3. 3. 8. DIY: How to map your buyer personas to improve conversions

Any marketing effort requires a good deal of market research. It’s important to anticipate customers every move, how they think, and what their interests are: this can be achieved through the creation of personas. This guide helps you through a step-by-step process to develop the right personas for your website.

3. 3. 9. Guide to Competitive Analysis for Conversion Rate Optimization

You can learn a lot from your competitors, both good features and elements to avoid. A comprehensive competitive analysis is fundamental to any CRO program. This guide will help you in conducting a full competitive analysis.

3. 3. 10. The Beginner’s Guide to Conversion Rate Optimization

This is a step-by-step tutorial that helps you convert all kinds of site visitors to buying customers. This guide will help you learn the basics of CRO, and guide you to build your own conversion plan and test it. You’ll be able to improve your site’s performance while being wary of the common CRO pitfalls.

3. 3. 11. The Definitive Guide To Conversion Optimization

Ensuring good Conversion Rate Optimization should be every business’s top priority. Aimed at marketers, founders, entrepreneurs, and bloggers, this guide provides a detailed, and very scientific, approach to CRO needs and processes. A useful resource to anyone who wants to learn about CRO and wants to know how to get the best out of their CRO testing plans. This guide is  and others.

3. 3. 12. The SEOgadget Guide to Conversion Rate Optimization

This handy infographic helps you get started with Conversion Rate Optimization and maximize business ROI from the start. Learn about the Good Path and the Bad Path of CRO, to avoid random testing and guesswork.

3. 3. 13. Your Step-by-Step Guide to A/B Testing with Google Analytics

A guide to help you using a free tool for conducting A/B tests. You will learn how to set up tests, and how to identify when to stop testing. Whether you’re planning to build a blog or opening up an online retail business, you need these tips to succeed.

3. 3. 14. The Landing Page Makeover Guide – 7 Tips for Higher Conversions

This article shares the most successful landing page optimization projects with the reader. Learn seven tips to achieve higher conversions with your landing pages, from studying your audience to creating benefit driven copy.

3. 3. 15. Learning Zone By Conversion Rate Experts

A collection of CRO advice articles from conversion rate experts. A must read for anyone interested in digging deeper into conversion optimization.

3. 3. 16. What is conversion rate optimisation (CRO) and why do you need it?

This is a series of beginner’s guides aimed at educating on what CRO is and how to measure and improve conversions. The guides stress CRO as being extremely critical to the success of any business, even if a site is doing very well in other areas. The takeaway is that no matter how good the design or how good the content, the important thing is to ensure the site converts well.

3. 3. 17. 20 Conversion Rate Optimization Experts Share Their Top Tip for eCommerce

This slideshare presents 20 top tips shared by conversion rate optimization experts who’ve succeeded in various ecommerce ventures. The guide stresses on hyping underutilized pages, such as the Thank You page, to up conversions, and the importance of guiding visitors back to their cart. There’s also emphasis on remarketing.

3. 3. 18. 4 Principles For Higher Conversion

Increasing CRO is a complex issue for all businesses, big or small. Through conversion marketing, it is possible to address the huge percentage of visitors who don’t make it to the conversion bracket. This guide focuses on the shopping conversion rate enjoyed by online retailers and how it can be increased through best practices, usability principles, and determining and sticking to KPIs.

3. 3. 19. MarketingSherpa Quick Guide to Conversion Rate Optimization

This guide offers several tactics to make sure that you are running valid tests to optimize conversions. Many important decisions are made based on inaccurate data. The guide emphasizes calculating the statistical significance of the data you’re testing instead of going with just any data. This guide presents you with 9 tactics that will help you run valid tests. You’re also provided a validity tool that’s free so you can evaluate testing data.

3. 3. 20. The Ultimate Guide to Conversion Rate Optimization

One of the objectives of CRO is to optimize visitors’ experiences on your site, to convert them into customers. As fundamental as search engine rankings are, this guide focuses on CRO, which is what impacts your business’s bottom line.

3. 3. 21. Split-testing 101: A quick-start guide to conversion rate optimization

This guide presents 108 methods to increase your website’s profits. It also introduces split-testing software and how such software can be used to increase CRO. You’ll understand how to carry out split-tests and evaluate the stats.

3. 3. 22. Conversion Optimization Guide

This guide emphasizes the need to reduce friction during visitor’s interaction with your site. The idea behind getting a visitor to complete the steps required for conversion is to provide the visitor with a pleasant and unhindered experience. This guide talks about increasing sales with your present traffic itself, testing conversions and what mistakes to avoid.

3. 3. 23. A Guide to Conversion Optimizer

This guide helps you understand how Conversion Optimizer works. Your bottom-line depends not on clicks or impressions, but on maximizing conversions. Conversion Optimizer gives you the maximum or the average amount you’re willing to pay for a conversion. Based on the conversion bid metric you choose, Conversion Optimizer will focus on converted clicks or on conversions.

3. 3. 24. The definitive guide to multivariate and A/B testing

A collection of several articles that delve into creating an A/B and MVT tests.

3. 3. 25. The Beginner’s Guide to Simple A/B Testing

This guide emphasizes on A/B testing for improving online conversions, achieving growth in business, improving sales and getting the maximum out of web traffic. A/B testing can be used to test emails, copy, landing pages and much more. There are definite advantages to split-testing methods, and this guide goes on to illustrate these advantages.

3. 3. 26. A/B Testing Best Practices Can Save You Time, Money and Effort

This guide focuses on the best practices of A/B testing, and how they can save you money, time and effort. A/B testing can ensure a pleasant and rewarding experience for users on your site, by optimizing each page element.

Conversion Rate Optimization Blogs

3. 3. 27. 5 reasons to get obsessed with conversion rate optimization

This blog post provides 5 excellent reasons for any business to get really obsessed with Conversion Rate Optimization.

3. 3. 28. What to do When Your Split Test Fails

This blog post explains in detail why split tests, or A/B tests as they are known, fail. One reason could be invalid tests. Another reason could be the SEO expert failed to run tests that are significantly different. The variation between the A and B tests should be significant in order to consider the results.

3. 3. 29. How To Get Management Excited About Conversion Optimization

A search marketer’s job is to generate more web traffic, leading to more sales. However, more traffic doesn’t necessarily mean greater conversion rates. This blog  post explains why the pursuit of traffic might distract businesses from the actual goal – CRO – and how higher conversion rates bring down search marketing and acquisition costs.

3. 3. 30. Supercharge Your Conversion Rate Optimization: How to Structure CRO & Win

Creating the right kind of web traffic has become extremely challenging these days, thanks to algorithm changes everywhere. The traffic that you do enjoy is doubly precious. This blog post explains how to use various persuasive methods and acute data analysis to leverage existing traffic and increase conversions.

3. 3. 31. Conversion Optimization Tactics in Action

This blog post shares a number of successful tactics to help businesses leverage conversion optimization advice. The blog focuses on boosting ecommerce sales, getting more customer reviews, getting the most out of call to action buttons and more.

3. 3. 32. Marketers Have It Wrong: Forget Engagement, Consumers Want Simplicity

This article mentions the efforts of businesses in building brand loyalty and impacting purchase decision. The author points out that customers follow brands on social media not for the sake of the community, but mainly for discounts and coupons. The article explains further on how to leverage this customer behavior to have a bigger impact on purchase decisions.

3. 3. 33. Website Redesign for Higher Conversions? Tread Lightly

This blog post is meant for businesses who decide to redesign their entire website to up their conversion rates. With advice on why it’s not recommended to make too many sweeping changes or opt for a radical web design, the blog goes on to explain why a major change in web design might actually bring the conversion rate down, instead of up.

3. 3. 34. Make your visitor your fan in 6 easy ways

Your business website is the most critical part of your business. This blog talks about why it’s important to keep visitors engaged with content on your site. The blog goes on to explain the many tricks you can try to keep visitors coming back to your site to check on the content, including basic changes to your site.

3. 3. 35. Experiments at Airbnb [Case Study]

This blog post discusses the need to run various controlled experiments in order to learn customer behavior. The blog provides the example of Airbnb, a two-sided online marketplace on which experiments were recently run. The blog shares both the gains and the pitfalls of conducting similar experiments on a business site.

3. 3. 36. 8 Questions about increasing your website conversion rates

Find out the answers for the most common questions on CRO. From best strategies, to tools and overlapping tests, you will learn great insights to improve your conversions.

3. 3. 37. Online Lead Generation Through Your Website: A Guide For B2B Companies

This blog post deals with a question that troubles many businesses – are sufficient leads being generated by their websites? This blog is aimed at B2B companies that are struggling with online lead generation strategies. The blog goes on to explain how to generate high quality leads that company sales teams can close easily to increase profit margins.

3. 3. 38. Bridging The Gap Between Phone Calls & Analytics in 2014

This blog post is aimed at marketers who understands the importance of everything that goes into conversion optimization. With all that effort and knowledge, such smart marketing companies might forget how to address web visitors who actually calls in using a telephone. All the collected data and data analysis fail in this case.

3. 3. 39. A/B Tests That Destroy the Myths Created by A/B Testing

A/B testing has resolved many issues for web retailers, helping them achieve greater CROs all around. However, A/B testing has created some myths. This blog explores why this is and breaks many of the myths that A/B testing has generated over time.

3. 3. 40. What’s Wrong With A/B Testing

Granted, A/B testing is a marketing standard as far as ecommerce goes. However, A/B testing, while sounding simple, can be quite complicated. How does one determine small differences in customer behavior based on A/B testing? This blog questions if A/B testing is appropriate in all cases and what are the alternatives.

3. 3. 41. 3 Ways to Convert Shoppers with Effective Website Navigation

This blog demonstrates how effective site navigation helps convert more visitors. With effective navigation, customers can quickly find what they need and complete their purchase. Depending only on a navigation tool aimed at not-so-aware customers might defeat the purpose.

3. 3. 42. 9 Things You Must Know About Conversion Rate Optimization (Before You Start!)

This blog explains several conversion rate optimization techniques that every keen business should know. Among the recommendations, a business should always learn about competitors’ progress, and understand which techniques worked for them but might not be applied to every situation.

3. 3. 43. The Ultimate Guide to Increasing Ecommerce Conversion Rates

This blog provides an excellent guide to increasing your website’s conversion rates. Several tips are provided on how to enhance user experience and thereby increase conversion rates. This blog is a good beginner’s guide on CRO techniques and how to enhance user experience.

3. 3. 44. 8 Ways You Can Tweak Your Microcopy To Boost Your Conversion Rates

This blog presents 8 simple techniques on writing web copy that truly converts. Each technique relies on years of research and A/B tests done on web copy samples. The blog is a good guide for web copywriters and businesses.

3. 3. 45. A 5-Step Framework for Conversion Rate Optimization

This blog explains the common conversion roadblocks that can be found on a business website, and how these blocks prevent conversion. Main among these is lack of trust among users, and the importance of building a strong relationship with them through security signals and safe shopping.

3. 3. 46. 12 Rules for Maximizing Conversions from AdWords

This blog provides an excellent guide on Google AdWords and how to use its various features and tools to excel in your campaigns. Some of the suggestions include rotating Google Ads and otherwise manipulating their placement.

3. 3. 47. 9 Insanely Simple Ways to Optimize Your PPC Landing Page

This blog is a wholesome guide on how to prevent your PPC Ads from taking your visitor’s attention elsewhere. There are ways to leverage PPC Ads to increase your site’s conversion rate.

3. 3. 48. Cart Abandonment is Rising: 5 Tips For Cart Recovery

This blog focuses on how to prevent shopping cart abandonment rates through various tactics. The blog offers tips to personalize shopping carts and follow up with customers when a cart is abandoned. A good guide for any online retail business that’s suffering high shopping cart abandonment rates.

3. 3. 49. Why Use AdWords? Here Are 10 Reasons

This blog explains why marketers and businesses should use Google AdWords. Filled with many examples and scenarios.

3. 3. 50. 25 Tips to Optimize Landing Page Conversions

This blog details 25 excellent tips for optimizing landing page conversions. Apart from the obvious design and user experience changes any business should attempt to up landing page conversions, the blog also describes how savvy marketing techniques can gain more user eyeballs.

3. 3. 51. A Step-By-Step Process for Creating the Ideal Landing Page

This blog talks about the perfect landing page and what it should contain, ideally. It goes on to provide a step-by-step process for creating such a landing page. Knowledge of the user plays a huge role in the creation. This is a good guide for those who want to increase their landing page conversions.

Conversion Optimization Lists Guide:

3. 3. 52. 75 Resources for Writing Incredible Copy that Converts

Great web copy can entice, pull and convince users to commit to your CTA. That’s why great copy writers are highly valued by businesses. Use this list of 75 copywriting resources to understand and learn how to write masterful web copy for your website.

3. 3. 53. 31 Conversion Optimization Tips – How to Increase Conversion Rates

This list provides 31 top tips for Conversion Optimization. Each tip is less than 140 characters long, which is the perfect length for a tweet. These tips have been used by several businesses to lift conversion rates successfully.

3. 3. 54. 21 User Activation Hacks You Need To Know

Acquisition is only the first step of the conversion funnel. Making them stay on your site and commit to the action you put in front of them is called activation. This is the stage where you have to use every bit of your cunning to convince users to stay. This list of 21 user activation growth hacks helps you understand the reasons for user retention.

3. 3. 55. Top 20 Conversion Optimization Tips

This list of top conversion rate optimization tips is exactly what any small or big business needs to grow profits. This list gives you a clear idea of what to test, where to begin and what to avoid during the conversion process.

3. 3. 56. 16 Ways to Simplify Your Prospects’ Decision-Making Process

This list provides 16 ways to help you simplify the decision that users have to make on your site. You can use this list to make it easy for customers to buy from your site and avoid all the confusions that come up when we try too hard to convert leads.

3. 3. 57. 10 Principles of Successful Landing Pages

The 10 elements of a successful landing page list helps you understand what should go into your landing page and what you should avoid. It’s a simple list, easy to understand and implement, and useful for any business.

3. 3. 58. 7 Steps to Higher Conversion Rates

This list presents 7 steps to higher conversions that will make a real difference to your business. If marketers simply learn A/B testing mechanics without knowing what to test, the tests won’t glean results worth a penny. This list is meant to help marketers understand what to test for higher conversions.

3. 3. 59. 5 Ways to Improve Your Contact Form Conversion Rate

Most marketers ignore the contact form when optimizing their sites for conversion. Contact forms allow users to directly interact with the company, and therefore have great potential for conversion. This list shows 5 excellent ways to use contact forms to increase conversions.

3. 3. 60. 21 Conversion Rate Optimization Best Practices for Beginners

This list provides you several great best practices for conversion optimization. You can use them to make changes to your website, one at a time. The list encourages marketers to take risks and explore ideas to improve conversion as well.

3. 3. 61. Statistical Significance for CRO: 6 Things You Need to Know

This list helps you understand the statistical significance between two different numbers, so you can make better sense out of your A/B tests and analytics data. This list is a good reference point for A/B testing initiates.

3. 3. 62. 17 Of The Best Conversion Optimization Blogs On The Internet

This is a list of 17 blogs that will help boost your knowledge on conversion rate optimization; each blog has been written by a conversion rate optimization expert. This list is a good reference point to anyone who’s trying to increase their website conversion rates.

3. 3. 63. 30 Conversion Rate Experts to Follow on Twitter

This is a list of 30 conversion rate experts that are worthy of being read and followed on Twitter. Beneath each expert, you’ll find a small excerpt introducing the person and an introductory bit on their achievements and published materials.

3. 3. 64. Best Practices in Conversion Rate Optimization Debunked

Do you believe every so called conversion rate optimization ‘best practice’ thrown about out there? Not all of them come from experts who’ve tried them out. Here’s a list of several CRO best practices debunked, so you know what to follow and what not to.

3. 3. 65. CRO Statistics: How to Avoid Reporting Bad Data

Read this blog to learn how to avoid reporting bad data to your clients. A clear understanding of statistics is necessary if you are to present valid, testable data. This blog is a ready reference to those who are in the business of managing CRO for their clients and superiors.

3. 3. 66. Mobile Landing Page Optimization – 10 Best Practices for Success

This blog gives you several best practices to help you create well-optimized mobile landing pages to boost conversions. Marketers can no longer ignore mobile landing pages, and this blog makes a point of this awareness.

3. 3. 67. Conversion Rate Optimization Round table – 11 Conversion Rate Experts Weigh In

This blog discusses how important it is to focus on improving conversion rates via landing page optimization. It also talks about ways to make the checkout processes friendlier and easier for better user experience.

3. 3. 68. Holy Grail of eCommerce Conversion Optimization – 91 Point Checklist and Infographic

This blog presents 91 touch points where users engage with the site. Each of these touch points is an opportunity to optimize conversion. This blog is a good reference point for CRO beginners and marketers.

Case studies and Surveys On Conversion Optimization.

3. 3. 69. 4 Simple Tips That Doubled Our Conversion Rate

This case study shows how 4 simple tips actually doubled the company’s conversion rates. The study includes various conversion optimization best practices such as writing compelling copy and optimizing CTAs.

3. 3. 70. 100 Conversion Optimization Case Studies

This list of 100 conversion optimization case studies aims at educating and informing marketers on how to optimize their websites for better conversions. The tactics included in these case studies have been curated from top CRO experts.

3. 3. 71. 50 A/B Split Test Conversion Optimization Case Studies

This blog presents 50 A/B split testing case studies and explains how important testing is, what to test, and how to test various elements for maximizing conversions.

3. 3. 72. 20 Landing Pages Torn Apart by Rand Fishkin, Oli Gardner and Peep Laja

This study lists 20 landing pages of well-known companies along with professional critiques on each one of them. These critiques are provided to help marketers understand that a truly optimized landing page has nothing to do with money, but with clever strategy.

3. 3. 73. Case Study: Removing Video increased conversion rate by 88.46%

Does every optimization trick work on every site? Apparently not. Despite all the best practices out there, what works for your site might differ from best practices. In the blog under study, removing a video actually increased conversion rates.

3. 3. 74. Improving Website Navigation Increased conversion rate by 18.5%

This case study illustrates how improving site navigation helped customers locate products easily and thereby improved conversion rates for the company. Apart from CRO, improving site navigation also helped impact overall customer satisfaction positively.

3. 3. 75. 59% of businesses say conversion rate optimization is crucial to their digital strategy

This case study illustrates the growing awareness among companies of the importance of conversion optimization. The increasing awareness of CRO has led to a very competitive marketplace, with companies vying with each other to achieve max conversions.

3. 3. 76. 30 Conversion Rate Optimization Stats You Should Know

Conversion optimization is a largely numbers-driven marketing discipline. This slideshow depicts 30 very interesting CRO stats gleaned from several case studies. This slideshow is useful to CRO experts and marketers as a reference point.

3. 3. 77. 4 default settings that will destroy your AdWords account

This blog presents default settings in AdWords that you should probably change. The blog is a good reference point for marketers and CRO experts.

3. 3. 78. Lessons from the personalization pros

This report presents the result of the 2014 Digital Marketing Optimization Survey. Marketers and optimization experts can benefit from finding out how fully CRO-optimized companies run tests and obtain quicker results.

3. 3. 79. TrustRadius Conversion Rate Optimization Survey Results 2014

This slideshare presents the results of the “Conversion Rate Optimization: A Survey into CRO Practice Maturity, Software Usage & Spend August 2014” event. It’s an excellent reference point for marketers as it contains many CRO guidelines and examples.

3. 3. 80. 6 Conversion Rate Optimization Case Studies With Surprising Results

This blog presents 6 case studies on conversion optimization that are different from the norm. Common, every day elements, such as social media sharing buttons, are tested for conversion impact. The blog is a good reference point for those who want to approach CRO differently.

3. 3. 81. 5 Conversion Rate Optimization Case Studies You should Bookmark

Not all marketing agencies put conversion optimization to good use. This blog focuses on CRO tactics instead of on-page CRO elements. The blog presents the larger picture of conversion optimization, something that goes beyond just achieving success in CRO.

3. 3. 82. 47% of Ecommerce Sites Commit This Usability SNAFU

This blog talks about various snafus that companies commit and the negative impact they have on CRO and usability. For example, many companies refuse to get rid of home page carousels.

Conversion Rate Optimization Videos/Webinars.

3. 3. 83. How Some Companies Succeed at Converting Visitors yet Fail to Earn Great Customers – Whiteboard Friday

Conversion is not the end of the marketing goals for any company. To ensure long-term success, businesses must focus on building loyal relationships with their customers. This presentation explores why even so-called loyal customers decide to leave and what businesses should do to retain them.

3. 3. 84. Preparing Your Website for Conversion Optimization

This webinar discusses some of the top case studies on conversion optimization. Top tips that are gleaned from various successful conversion optimization projects are shared with viewers. This webinar is a useful watch for marketers and business owners who are new to conversion optimization.

3. 3. 85. Ecommerce Product Page Optimization – Webinar Recordings

This webinar talks about the importance of removing distractions on the landing page, and retaining the CTA and the “the Add To Cart” buttons on every page. The webinar also covers why it’s important to consider the location of upsells/cross-sells and other items.

3. 3. 86. 20 Tips to reduce shopping cart abandonment

This Flash presentation provides 20 excellent tips to all marketers on how to reduce shopping cart abandonment rates. The material presents an excellent view towards improving sales fulfillment by building customer loyalty.

Conversion Optimization Infographics:

3. 3. 87. How to Optimize Your Landing Pages [Infographic]

This infographic provides a succinct view into what a landing page’s actual purpose is, and why businesses should improve their landing pages. It also presents 16 top tips for higher converting pages.

3. 3. 88. How to Create Effective E-commerce Product Pages [Infographic]

This infographic uses 21 simple steps to help businesses understand how to create effective product pages, to ensure better customer experience and high conversion rates.

3. 3. 89. Shopping Cart Abandonment Rate Statistics [Infographic]

This infographic presents clear stats of shopping cart abandonment. It also helps readers understand why online shoppers abandon their shopping carts and what can be done to prevent this from happening.

3. 3. 90. Online Shopping Personalization – Statistics and Trends [Infographic]

This infographic talks about the importance of personalizing the customer’s online shopping experience. What you take away from this infographic is how to engage online customers and keep them feeling cared for through personalization techniques.

3. 3. 91. Top 2014 Conversion Optimization Statistics (Infographic)

This infographic helps you understand conversion optimization statistics across businesses. It also presents what marketers are doing to increase CRO and the various devices through which users are converting online, for the year 2014.

3. 3. 92. How To Test Your Landing Pages [Infographic]

This infographic talks about the importance of testing your landing page elements using the split, or A/B and Multivariate testing methods. Both these testing methods are explained diagrammatically along with examples.

3. 3. 93. The A-Z Guide to Conversion Rate Optimization (Infographic)

This infographic presents a total A to Z guide to conversion rate optimization. 26 top tips are presented to help you improve your conversion rates. The tips cover a broad range of topics, from A/B testing, browser testing, customer relationship development, landing page optimization and much more.

3. 3. 94. Integrating digital media in-store [Infographic]

This infographic explores the techniques being employed by retailers in the UK and USA, and their similarities and differences. Why do 52% of American consumers feel let down, as opposed to only 28% in the UK? If you want answers, read this infographic.

3. 3. 95. How to use Conversion Optimization to Battle Shopping Cart Abandonment – An Infographic

What causes cart abandonment and how to battle this regularly-occurring phenomenon? That’s the question answered by this infographic, which explores cart abandonment rates across businesses, along with how to make customers feel more comfortable with shopping online.

3. 3. 96. How to Optimize Your PPC Campaigns [Infographic]

This infographic explores why PPC Ads don’t perform as planned and what should be done to increase their performance. The infographic presents 20 top tips to optimize PPC campaigns, including geo-targeting, testing Ad placement and more.

3. 3. 97. Infographic: 7 Ingredients to Create the Perfect Landing Page(@Convert)

This infographic presents the 7 absolutely must-have elements for the perfect landing page. Getting your landing page right is probably the best thing you can do for your online retail business. Use this infographic to learn how to fine-tune your landing pages to get the conversions you want.

3. 3. 98. A Simple Guide to Optimizing Your Landing Pages [Infographic]

This infographic provides simple tips on how to optimize your landing pages. It charts the path that a user takes to convert on the site, and how to optimize landing pages to take advantage of this process.

Landing page templates:

3. 3. 99. Free Landing Page Templates

You can download and use these two landing page templates to achieve high conversion rates. If you’re planning on creating your own templates, we recommend that you base the page design on well-defined buyer personas.

3. 3. 100. The Ultimate List of Free Landing Page Templates From LeadPages

Use this free landing page templates to achieve the kind of conversions that you want to enjoy.

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