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What? MMM has inbuilt Incrementality testing?

Did you know MMM has inbuilt Incrementality testing? Let me elaborate. Incrementality is defined as the additional impact of a marketing on the KPI (sales, TOMA, CAC etc..) over and above what would have been generated organically. Recently, we had an interesting conversation with a brand that ventured into TV ads since past one year. […]

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Boost your incrementality testing through Causal Experiments

During the Black Friday – Cyber Monday (BFCM) period, we often notice that brands increase their marketing spends, roll out discounts, try new media channels and launch new campaigns. The resultant sales for some of these brands during this period is higher than any other period in the year. But most marketers still don’t have

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Why Heteroscedasticity matters in Marketing Mix Modeling

MMM is something that always leads you to reminisce about the learning one had or hadn’t during their statistics course. 15 years ago, when I was a student, I attended one statistics seminar. In it the professor told “Always be testing your assumptions”. That statement rings true even now, especially in MMM. In MMM, inference

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MMM pro tip: Use spends instead of Impressions

1. Spends are more actionable and transactional, as you can measure direct impact on sales. Spends data directly reflects the financial investment in marketing (your CFO would be happy 😅). 2. Spends are more accurate than impressions. 3. Cross-Channel Comparisons Spend data enables easier comparisons between different marketing channels or campaigns in terms of their

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