Explore the replication crisis, P-value pitfalls, and their impact on Marketing Mix Modeling. Learn best practices for reliable analysis.| Recast
A guide on how to prioritize marketing tests by impact—not just precision—when you can’t run them all.| Recast
How can marketing experiments be done quicker and more often? This is what we'll be discussing in this article.| Recast
Explore how to build an experimentation mindset, measure the value of tests, and modernize your marketing approach with Recast.| Recast
Explore how integrating geo-testing with MMM transforms marketing accuracy, helping to validate strategies and optimize spend.| Recast
Discover the 5 key features of a great marketing mix model: causality, transparency, validation, stability, and actionable insights.| Recast
Much has been written about iOS14, but far less ink has been spilled on the iOS15 software update and its impact on emails.| Recast
Someone posed the following query in a marketing measurement slack I’m in: At first, this question seemed really easy. Hubristically, I replied “just use a t-test for difference in means.” However, it turns out that the analysis isn’t quite so straightforward (which I realized after a few minutes of thought … Is there a good way to do a test of statistical significance for ROAS? Read More »| Recast