The retail world went digital a long time ago, and marketing teams were expected to move faster, justify every marketing dollar spent and optimize for shifting consumer behavior.
Data became central for decisions, bu the marketing mix models used weren’t battle-tested and designed for speed, scale & complexity.
A legacy approach was slow, difficult to update, and limited in flexibility. With marketing channels expanding and budgets coming under tighter scrutiny, static models and manual processes made it harder for leaders to respond to change with confidence. The hero of the past was past its prime.
To be ready for the AI era, Marketing Mix Models require more than analytics. They require intelligent, adaptive modelling driven by AI agents, reasoning across data and building hypotheses for business growth. OR
The next generation of Marketing Mix Modeling (MMM) is powered by AI agents that continuously analyze diverse data sources, generate and validate hypotheses, simulate multiple investment scenarios, and recommend optimal budget allocations. AI-driven MMM enables retailers to make faster, more informed marketing decisions, maximize return on investment, and stay ahead in an increasingly dynamic marketplace.
Change Is the Only Constant
Change brings uneasiness. But then, staying inert won’t help brands go places.
To address challenges of a traditional marketing mx, a major North American retailer partnered with us to rethink Marketing Mix Modelling from the ground up.
The goal was to modernize MMM into a continuously evolving capability.ne that could absorb new data quickly, adjust to market shifts, and support better decisions across the organization.
Rather than treating MMM as a periodic reporting exercise, the retailer wanted to turn it into a living system that supports ongoing optimization and growth.
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