: Analytics

What’s the Deal with Bayesian A/B Testing?

In recent years, Bayesian inference has become increasingly popular among researchers and this interest has begun spilling over into business applications, such as A/B testing. So, what is Bayesian A/B testing? How is it being...

A/B Testing Analysis: Top Questions to Ask Your Analysts

Sometimes, when I’m walking our clients through test results, I get the impression that they’re hesitating before asking me any questions. Maybe they think their questions are too obvious or will make them look like...

Do You Know The Six Characteristics Of A Successful A/B Testing Program?

For those looking to start a testing program or for new programs struggling to gain footing, there are a number of hurdles to getting tests out the door. And just as every program must clear...

10 Conversion Rate Optimization Conferences to Attend in 2019

Conference season is upon us again. If professional development is a line item in your optimization program’s budget, consider these conversion rate optimization and analytics conferences. Click Summit - May 7 - 9, 2019 -...

Adobe is Killing Ad Hoc Analysis & Everything is Going To Be Fine

Where were you when you heard the news? I was checking my analytics team’s Slack channel at work when my teammate shared this screenshot: At first, my thoughts went to Java. Then, it really hit...

A Marketer’s Q&A with a Data Scientist About Personalization

In this hour-long webinar Aaron Baker, Senior Data Scientist from Brooks Bell, and T.J. Prebil, Director of Product Marketing from Evergage discuss the importance of data science for testing and personalization. You’ll learn: The 6 barriers prohibiting...

Truly Understanding Minimum Detectable Effect

Now you know how to Predetermine Your Test Sample Size and How to Reach Statistical Significance & Power within Your Experimentation Programs. Our final blog concludes the series and will expand your understanding of how to...

How To Reach Desired Confidence & Power Levels with Your Experimentation Programs

This is the second of a three-part blog series. If you missed the first post, “Using Fixed Time Horizon to Generate Credible Optimization Results,” read it here. The final blog, “How to Understand Minimum Deductible Lift,”...

Using Cluster Analysis to Craft Relevant Customer Experiences

Today’s customers expect top-notch experiences from the brands they trust. Not only do you have to meet this need, but you have to contend with ever-shortening customer attention spans as well. Providing relevant customer experiences...

Using Fixed Time Horizon to Generate Credible Optimization Results

This is the first of a three-part, weekly blog series, which shares optimization best practices for test sample size, desired significance, power, and Minimum Detectable Lift (MDL). Technology and evolving consumer behaviors are transforming the...

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