If you’re freezing coefficients in your media mix model, your model is broken. It’s one of the most common, and damaging, shortcuts in MMM. Something looks off in your results, so instead of investigating the cause, someone manually locks in a coefficient they “trust” and reruns the model until things look more reasonable. But the whole point of having a model is to let it tell you the results, not the other way around. In this article, we’ll walk through: Exactly why freezing coefficients undermines the integrity of your MMM. How this practice introduces hidden bias. What you should be doing instead to build stability and trust in your model results. Frozen Coefficients Are Lies No one—not your vendor, not…
One of the ever-present problems with marketing mix modeling is that you always have to choose some start date. And since you always need to choose a start date, there’s always some period before the start date that’s impacting your results. Here's how Recast handles these carry-over effects.
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With digital tracking breaking, consumer brands that relied on multi-touch attribution are now looking for alternatives to measure marketing effectiveness.…
There are three main ways that consumer brands measure marketing effectiveness: digital tracking (MTA), marketing mix modeling (MMM), and testing/conversion…
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In the context of marketing measurement, marketing analysts and marketing scientists use the term “incrementality” to refer to causality. Incrementality…