Q: 12
A small retailer wants to measure the impact of its Facebook campaigns on in-store sales. The
company operates a store in a local city with most customers within a 10-mile radius.
What measurement solution should it use?
Options
Discussion
D , even though it's usually for big brands, the exam seems to want Marketing Mix Modeling for overall in-store impact. Not totally confident since for just one store C could fit too. Anyone disagree?
D, encountered exactly similar question in my exam. Marketing Mix Modeling is what they wanted for overall in-store impact tracking, even for small retailers.
Option B looks about right to me since Conversion Lift is often suggested in the official guide for single-location retailers tracking campaign impact. I'm basing this off some practice questions, but not totally sure-open to corrections.
I don’t think it’s B. D is correct here because Marketing Mix Modeling looks at overall sales impact from all channels, which is what the exam usually tests for when asking about measuring total in-store effect. B (Conversion Lift) sounds more direct for digital/offline but it's usually used when you can run test/control splits online, not as broad or comprehensive. Pretty sure D's what they want, but feel free to push back if you've seen otherwise.
D , that's what the official guide calls out for overall impact measurement, even if for a small retailer it's a bit overkill. Marketing Mix Modeling shows how the Facebook campaign shifts in-store sales. I've seen similar wording in practice sets. Think that's what they're after here!
Why is D considered right for a small retailer when C is tailored for local market tests?
Pretty sure D is what the official resources mention for overall campaign impact, especially in exam reports. Marketing Mix Modeling gives that full picture, though for small/local stores it might be overkill. Anyone see this phrased differently in the practice tests?
B
D
C/D? I think C fits small market tests better, but D is usually for bigger brands.
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