i4i Blog

Learn more about our POV on marketing performance measurement, the impact of data deprecation, the rise of retail media and other topics on marketing performance

Attribution Analysis Letting You Down? Why Not Return to MMM?

Marketing attribution analysis was great in theory. What are the things consumers see and hear that influence and prompt them to act, specifically to buy a product or service? It would be nice if it were simple and binary: Consumers see thi...

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Marketing Mix Modeling Retakes its Role in Media Optimization

Mark Garratt, Partner and Co-Founder at in4mation insights We are at an interesting inflection point in the world of advertising media, for sure. Since the days of media being dominated by broadcast advertising (remember those voices shouti...

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What flavor of Bayes is your MMM provider using?

Choosing an MMM partner who uses the best form of Bayes will guarantee you more accurate analysis and help you make better decisions.

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Retail Media can be profitable for brands – here’s how!

Retail Media networks are growing at a rapid pace, but brands are confused about how to allocate their spend. Learn how i4i's Robust Bayes™ approach to MMM can help.

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Choice Modeling – Menu-Based Conjoint

Menu-based conjoint analysis allows researchers to correctly predict how customers’ buying behavior changes when they’re presented with a menu of products and services.

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Why Marketing Mix Models (MMM) are Ambitious

Effective media planning needs to accommodate the complex variables that impact your target audience and drive sales.

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Volumetric Conjoint

Volumetric conjoint is the next generation of choice-based conjoint analysis that delivers a new way to predict changes in product volume.

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Choice Modeling – Utility Maximization & Regret Minimization

A deeper look into the various approaches to choice modeling such as utility maximization & regret minimization.

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Choice Modeling – How to Choose the Right Approach for Your Data

Choice modeling allows brands to measure consumer behavior and make smarter decisions. Learn how to choose the right approach for your data.

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