Author: Neha Bisht

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Fine-Tuning Checkout Optimization Using A/B Testing - BrillMark

Fine-Tuning Checkout Optimization Using A/B Testing

Optimization of the Checkout experience is as important as improving the homepage. Resolve the problem areas that concern users by tweaking design and elements. Here is the list of ideas for checkout page A/B testing to keep the abandoned carts away Online shops are no stranger to abandoned checkout problems…

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Navigation Menu AB Testing - BrillMark

Navigation Menu A/B Testing: Reasons to Do It Sooner Than Later

To channel the boosting traffic into the fruitful pages of your website having the best user-oriented navigation menu is a must. A/B test experiments help to optimize that navigation menu bar to show the most suitable and liked version for the best conversion rates possible. Reasons to do navigation menu A/B tests are…

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5 Common A/B Testing Problems and How to Overcome Them - BrillMark

5 Common A/B Testing Problems and How to Overcome Them

A/B testing is easy enough to get started, but as your testing process progresses, you’ll probably want more innovative options. And that’s when problems arise and the process gets tricky. According to Adobe, 82% of digital marketing respondents say that knowing how to test effectively “poses a challenge for their organizations.”

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What is CRO(Conversion Rate Optimization) - BrillMark

This Is What Conversion Rate Optimization Actually Is

Conversion rate optimization is a scientific approach to increasing the percentage of visitors who turn into customers. It uses collected data, analytics and ideas to prepare a hypothesis on how to improve conversions. Then, you’ll use, A/B testing to prove your hypothesis and achieve your desired goals. The aim is to bring in more revenue, and it can be used on any medium or platform where you

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Recommendation Engine - How to get it right with A/B Testing

Recommendation Engines: How to Get Them Right With A/B Testing

Did you ever wonder how Netflix makes you binge watch a whole series which eventually becomes your favorite? How about the way e-commerce websites like Amazon use the rather famous “Customers Who Bought This Item Also Bought” trick? Now, just imagine if you got to apply these methods to your website. How impactful would that be?

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