An MMM or MTA model isn’t very valuable if it only works once. We focus on creating tidy sets to feed the modeling with clear, code-based data extraction and transformation. Models are built for stability over time; changes in values reliably indicate trends that can be acted upon.
We build our models to solve our clients’ unique business problems. Whether the goal is driving small-dollar units, high-complexity sales, subscription products, or brand equity, we have the modeling techniques that will work for your company. And we don’t just stop at the numbers; we strive to surface strategic insights that drive long-run optimization of marketing efforts.
We start with a 2-3 week data audit to understand the dimensionality of stimulus and response data, and then spend the next 6-9 weeks working with the client to build the model(s), insights, and scenario planning models. We meet weekly with the team, presenting detailed progress and validating work as it is completed. This prevents nasty surprises at the conclusion of the work.
Our code base is open-sourced, fully documented, and connected to source systems and vendor files. We hand off a version-controlled code base to our clients at the conclusion of each engagement. Of course, we are also happy to continue providing support—but we do the work so clients can bring it in-house.
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