
Outliers detection – ridding the extreme events threatening your A/B tests
Huge deviations in site behavior may be leading to unintended consequences in your A/B testing campaigns. Here’s how to reconcile them.
Huge deviations in site behavior may be leading to unintended consequences in your A/B testing campaigns. Here’s how to reconcile them.
Rectifying this major flaw in the test analysis and execution of personalization campaigns is key to producing conclusive, statistically significant results.
One of the biggest mistakes a company makes when A/B testing is selecting an average audience. Instead, they should be making segmentation an essential part of their test design — here’s how.
Is it possible to personalize experiences at scale with A/B Testing alone or is machine learning necessary in the face of human limitation? CEO, Liad Agmon, answers.
Most email software is designed to mislead and skew your results. In this post, we’ll cover why that is and the right way to think about email A/B testing.
When your A/B testing routine starts to feel stale, it’s time to try something new. Here are six proven ways to get great results.
How the complex nature of multivariate tests render them impractical and what other solutions you can run for more optimal results.
Only 22 percent of businesses are happy with their conversion rates, and these are the 7 common challenges holding them back from successful CRO campaigns.
By addressing some common A/B testing pitfalls and introducing more reliable approaches to measuring the efficacy of your experiences, you can be sure to optimize for success.
A conversation on personalization, conversion optimization and what makes the coconut the most kickass ingredient known to (wo)man with cosmetics retailer Kopari.
To yield more actionable results, marketers should move away from session based attribution and start measuring A/B tests based on revenue per user.
As unified technology stacks replace disjointed point solutions, marketing will become easier, not harder, in 2017.
The industry is moving toward the Bayesian framework as it is a simpler, less restrictive, more reliable and more intuitive approach to A/B testing.
With better testing practices and an automated personalization solution, media companies and publishers can start tackling the unique challenges they are facing and improve content performance.
Conversion optimization can be a very powerful process, but it’s easy to get carried away by the methodology. Here’s how to choose the right optimization objective.
We pulled the annual list of the top 10 posts that mattered most this year.
Suggesting a simple, yet effective, 4-step model for building a successful conversion optimization plan.
A visualized guide with useful tips and tricks to running successful A/B tests
Under the hood of revenue-based A/B tests vs. CTR-based experiments
Here’s a list of the reasons for what I like to refer to as the A/B testing case study blindness syndrome.