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Ehrenberg-Bass researchers readily admit that consumers are heterogeneous in their brand preferences. Yet, they ignore the possibility that consumers also vary in their expected responsiveness to advertising even though they are mathematically linked.

Math and AI are optimizing tactics, refining targeting, and transforming creative processes for significantly improved outcomes.

Using best in class math driven media tactics collectively can be expected to account for 70-75% of ad effectiveness at driving sales. Targeting alone can be as powerful as great creative at driving incremental sales

Is it time for a new kind of approach to estimating ad effectiveness?

In: A/B tests, advertising, baseball, Bayes, marketing mix modeling, marketing ROI, media, MTA, nate silver
Comments Off on Is it time for a new kind of approach to estimating ad effectiveness?

What is needed is a new kind of approach that is built for integration …not another model to estimate parameters from digital exhaust or spreadsheet data.