“What impact did our Black Friday promo really have on revenue?” It’s one of the most common questions we hear from our clients, and it’s why we built one of our favorite features at Recast: Spike Modeling. Traditionally, MMMs have tried to capture the effects of holiday sales using dummy variables. A dummy variable is a simple switch in the model—turning “on” for a holiday like Black Friday and “off” for the rest of the year. While this approach might seem logical, it’s deeply flawed. Dummy variables: Overcredit sales to the holiday event itself without accounting for the impact of marketing. Fail to account for consumer behaviors like delaying purchases until a sale (pull-forward effects) or stockpiling during the sale…
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.
Mockingbird empowers parents with premium, well-designed baby gear like their signature Single-to-Double Stroller. With a complex buyer’s journey and an…
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…
Business environments are messy; people with different responsibilities need to work together on decisions quickly and without perfect information. That…
In the context of marketing measurement, marketing analysts and marketing scientists use the term “incrementality” to refer to causality. Incrementality…