National time series multiple regression analysis yields actionable results for maximizing Return on Ad Spend (ROAS) by controlling the allocation to media types

Reports the findings of a study that determines if the national time series methodology brings back valuable incremental information and compares ad media investment trends to the apparent Return on Adspend (ROAS) effects of each media type.

Abstract

Marketers for decades have been using Marketing Mix Modeling (MMM), which is performed market by market and the results derived at a national level by attributing more ROAS to those media over-delivering audiences (or investing the most money per capita) in the same market/weeks as those in which the greatest sales increases occurred. This procedure is intensive in terms of assembling the right data, and data errors are known to occur. A simpler procedure would be to do the same type of analysis at a national level, extending the length of time measured so as to maintain a large...

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