Outliers detection in A/B testing
Huge deviations in site behavior may be leading to unintended consequences in your A/B testing campaigns. Here’s how to reconcile them.
How to analyze and interpret A/B testing results
Analyzing A/B testing results is one of the most important stages of an experiment. But it’s also the least talked about. Here’s how to do it right.
Segmented A/B tests: Avoiding average experiences
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.
Machine Learning Based Optimization vs. A/B Testing
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.
The right and wrong way to do email A/B testing
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.
How to never run out of conversion rate optimization ideas
Learn what to do when your A/B testing routine starts to feel stale and you’re struggling to identify ideas for new experiments and CRO campaigns. Here are six proven ways to get great results.
The complex nature of running multivariate tests
How multivariate tests render impractical insights and what other solutions you can run for more optimal results.
Ex-Head of Site Optimization at Staples on Growth hacking in eCommerce
Breaking down what growth hacking brings to the table along with some traditional and new approaches within eCommerce.
Why Most Businesses Aren’t Happy with Their CRO 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.
Choosing the right optimization KPI for your A/B tests
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.
Building an experimentation growth plan: A Kopari Beauty case study
A conversation on personalization, conversion optimization and what makes the coconut the most kickass ingredient known to (wo)man with cosmetics retailer Kopari.
Why session-based attribution is flawed in A/B tests
To yield more actionable results, marketers should move away from session based attribution and start measuring A/B tests based on revenue per user.
How To Stop Marketing Like It’s 2007
As unified technology stacks replace disjointed point solutions, marketing will become easier, not harder, in 2017.
Choosing the right traffic allocation in A/B testing
Learn how to choose the right traffic allocation method for your A/B tests and avoid common pitfalls, ensuring impactful, valid results.
Frequentist vs. Bayesian approach in A/B testing
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.
Challenges Publishers Are Facing Today with 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.
Choosing the Right Conversion Optimization Objective
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.
Our 10 Most-Read Blog Posts of 2014
We pulled the annual list of the top 10 posts that mattered most this year.
Developing a 4-step conversion optimization strategy
Use this robust program to build and test an effective CRO plan that will help you grow your business and achieve consistent and sustainable revenue uplifts.
The Road to A/B Test Success in Only 10 Steps
A visualized guide with useful tips and tricks to running successful A/B tests
