Your Losing A/B Tests Are Actually Winning!
Rectifying this major flaw in the test analysis and execution of personalization campaigns is key to producing conclusive, statistically significant results.
Why A/B Testing Without Segmentation Makes for 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 & Wrong Way To Do Email A/B Testing (And Why Your Software Provided Is Likely Ripping You Off)
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.
6 Ways To Never Run Out of Conversion Rate Optimization Ideas
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.
5 Reasons Multivariate Testing Sucks and What to Do Instead
How the complex nature of multivariate tests render them impractical and what other solutions you can run for more optimal results.
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.
The Main KPI of Your A/B Test Is Wrong – This Is How to Do It Right
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.
Kopari Beauty
A conversation on personalization, conversion optimization and what makes the coconut the most kickass ingredient known to (wo)man with cosmetics retailer Kopari.
Most Marketers Are Choosing The Wrong Conversion Attribution KPI
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.
Going Bayesian: A Fresh Approach to 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.
Crafting a Successful 4-Step Conversion Optimization Strategy
Suggesting a simple, yet effective, 4-step model for building a successful conversion optimization plan.
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
The Difference Between CTR and Revenue Based Tests
Under the hood of revenue-based A/B tests vs. CTR-based experiments
5 Reasons Why I Stopped Following A/B Testing Case Studies
Here’s a list of the reasons for what I like to refer to as the A/B testing case study blindness syndrome.
15 Great Quotes That Will Inspire You to Start Optimizing
Brands, leaders, and practitioners from all walks of life see the positive effects of personalization, and many have shared valuable insights about the industry, as well as the notable impact they’ve witnessed in their own work.
