An in-depth analysis of the most important technical considerations when implementing A/B tests and personalization campaigns on the server-side.

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An in-depth analysis of the most important technical considerations when implementing A/B tests and personalization campaigns on the client-side.

The post Client-side testing and personalization explained appeared first on Dynamic Yield.

While still commonly used today, is the Frequentist Approach to statistical inference within A/B testing the most effective? Let's dive into the math.

The post The Frequentist Approach to A/B Testing appeared first on Dynamic Yield.

Known for being less restrictive, highly intuitive, and more reliable, let's dive into the math behind the Bayesian Approach to statistical inference and find out why.

The post The Bayesian Approach to A/B Testing appeared first on Dynamic Yield.

From ideation to execution and analysis, data and analytics can support marketers at every turn, turning any business into an insights-driven industry leader.

The post The role of optimization analytics in experimentation appeared first on Dynamic Yield.

Huge deviations in site behavior may be leading to unintended consequences in your A/B testing campaigns. Here's how to reconcile them.

The post Outliers detection in A/B testing appeared first on Dynamic Yield.

How multivariate tests render impractical insights and what other solutions you can run for more optimal results.

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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.

The post Choosing the right optimization KPI for your A/B tests appeared first on Dynamic Yield.

To yield more actionable results, marketers should move away from session based attribution and start measuring A/B tests based on revenue per user.

The post Why session-based attribution is flawed in A/B tests appeared first on Dynamic Yield.