Marketing mix modeling is hard. Trust us. When we were starting Recast, we thought it’d be easy: we’d use some off-the-shelf Bayesian time-series models and six months later we’d have a top-shelf model. But unfortunately, it didn’t work like that. It took us multiple years of PhD-level research time to …
In 2017 Nielson conducted a study of 500 advertising campaigns across all major media platforms: TV, digital, magazines and radio. They found that a remarkable 47% of the campaign’s contribution to sales was attributable to Creative. A further 15% came from Brand, which we can think of as the culmination …
Creative performance drives 47% of sales: why is it missing from most models? Read More »
Most people aren’t aware that Facebook (Meta) invented a new ‘accuracy’ metric. Their own documentation calls it a ‘major innovation’ of Robyn, their Marketing Mix Modeling (MMM) library. It’s both genius and controversial. The metric we’re talking about is “Decomp RSSD” and it’s a measure for how much the model …
Introduction Note: this post was developed in partnership with Mike Taylor over at Vexpower where they’re working to educate marketers on how to do effective media mix modeling. This post gets a bit into the weeds, so if you want a more straightforward overview, definitely go check out the companion post over there. Bayesian …
