Learn · every claim sourced
Plain-language foundations, primers and guides on integrated marketing communications, with a source for every claim. New here? Begin with the short reads below.
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Brand effects build slowly and show in sales late, so they need their own measures. This piece covers tracking studies built on mental availability, brand lift studies for single campaigns, share of search as a cheap leading indicator, and how to connect all three to sales.
An experiment is the only method that shows what an activity caused. This piece compares holdouts, geo experiments and platform lift studies, sets out how to design a test that can actually detect an effect, and how to read and use the result without overclaiming.
Attribution shares the credit for a conversion among the tracked touchpoints before it. This piece explains rules-based and data-driven models, what they can and cannot show, how consent and tracking changes stand in October 2026, and how to use attribution without letting it set the budget.
A marketing mix model estimates what each activity added to sales from aggregate data over time, and what a different budget would do. This piece sets out how one is built and validated, where the open-source tools stand in 2026, and when a model is worth commissioning.