Can we use Artificial Intelligence (AI) to improve the user experience on a website and thus impact the site’s conversion rate?

It seems that many products try to mention that they use AI as a unique feature that makes them different from other competitors.   

However, many AI methods are always confounded with machine learning methods. 

When we talk about Conversion Rate Optimization, it’s nearly impossible not to mention A/B testing. Actually, many companies think that AB testing and CRO are completely synonymous. That’s not true because AB testing is a part of the greater umbrella that is CRO, but that’s a topic for another day.

From Saas to e-commerce to lead generation websites, many businesses now understand how the targeted audience responds to certain changes on their websites, thanks to A/B testing. 

Most of the website elements you see on popular sites such as Google, eBay and Amazon were evaluated for effectiveness using A/B testing. …

If a decision-maker is convinced about conversion rate optimization and the potential impact it can have on their business, then the next question is how much does it cost.

Sales staff might disagree with me, but I like to get the price discussion out of the way right away. I cannot tell you how many times I sat through sales presentations to end up walking away because the price was out of my range.

There are two elements when it comes to price: affordability and value. If I cannot afford something, and there is no way to figure how to …

How well do you know A/B testing? Admittedly, as an Optimizer or Digital Marketer, you are probably best friends or you know a lot. But one of the things I like about split testing is that even though you think you know it best, it always surprises you. 

Each A/B testing case study comes with its own set of differences and lessons.   

Having questions to ask about A/B testing isn’t just a great way to learn more about split testing, but it’s a great way to avoid making futile mistakes. To do that, though, you need to know all …

“We always test to see what visitors like”

Of course, there may be other tactical ways to come up with compelling lead generation strategies, but most of the digital marketers rely on AB testing and they have actually developed a “we should test this and test that” mentality.  

In times like these, your site has to remain relevant and keep on generating leads. So, if you need some AB test ideas, this article could be just what you needed. 

One of the questions you should deal with in CRO is the impact a particular page (the homepage for example) or class of pages (product or category pages) on the overall website conversion rate. The answer to that question determines the impact of optimizing that page on your bottom line.

Any experiment that involves later statistical inference requires a sample size calculation done BEFORE such an experiment starts. A/B testing is no exception. Calculating the minimum number of visitors required for an AB test prior to starting prevents us from running the test for a smaller sample size, thus having an “underpowered” test.

I will take you back to 2007 to one of the very first CRO projects we conducted for a large online retailer. The website received a massive amount of traffic (100k per day). Since it was one of our first projects, and the team was a bit trigger happy with AB testing, our first test included 30 different designs to run against the control. The headache of implementing all of these designs was overwhelming. None the less, we launched the test after about six weeks of implementation.

Seven of our challengers beat the original design within five days. …