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Since the start of COVID, marketing research blogs have been forecasting dire consequences for the industry. Enough already.
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An argument for the importance of quality over quantity in data.
A rebuttal to the call to return to simple linear data models.
A rebuttal by Steve Needel defending the validity of significance testing.
Statistical and conceptual models are inherently limited. MR needs to rely on true experiments to understand causality.
It is critical for stores to understand what time means to shoppers, and how different needs impact the way people use their shopping time.
CX needs to be placed in context of other shopping factors
Recent discussions have differed on the role of market researchers when it comes to “action”. This post argues against over-reaching.
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