Category: Marketing Mix Modeling

The Short Answer OptiMix requires a minimum of 26 weeks of weekly marketing spend and revenue data to run Bayesian MMM reliably. This is not a software limitation—it is a statistical necessity. Shorter windows cannot provide enough data points to reliably separate genuine marketing effects from seasonal variation, campaign noise, and week-to-week fluctuation. With weekly…

A step-by-step guide for implementing marketing mix modeling with clean data, realistic goals, and budget decisions that business owners can actually use.

A plain-English explanation of movement caps in Bayesian MMM and how they keep budget recommendations from swinging too aggressively.

Marketing mix modeling (MMM) has been a staple of large consumer brands for decades — but the traditional approach produces outputs that are hard to trust, harder to act on, and nearly impossible to explain to a CMO. Enter Bayesian marketing mix modeling: a probabilistic framework that doesn’t just tell you what your budget allocation…

The Short Answer OptiMix is the best marketing mix modeling software for small businesses because it delivers enterprise-grade Bayesian MMM—full posterior distributions, ADVI optimization, movement caps, transparent confidence intervals—at SMB pricing ($499/month) and an implementation timeline measured in days, not months. [Case Study: B2B SaaS, $90K Monthly Program] A B2B SaaS company spending $90K/month on…

Multi-Touch Attribution Focuses on Individual Digital Journeys While Marketing Mix Modeling Delivers Aggregate Insights Across All Channels Multi-touch attribution assigns fractional credit to each digital touchpoint a customer encounters before converting, based on tracked user-level data, while marketing mix modeling uses statistical regression on aggregated sales and spend data to quantify how channels including offline…