An ecommerce brand runs a multi-cell Conversion Lift test. The brand needs to determine if bidding in the Facebook auction based on user value calculated from its LTV model versus demographic targeting improves performance by 10%. The p-value for the test is calculated as p = 0.95. How should the analyst interpret bidding based on user value?
Q: 11
Options
Discussion
No, not C here. B fits since with p = 0.95, you can't claim a 10% effect from user value bidding.
C
Its C, this feels right based on similar exam reports and the way the p-value is high here. Would double check with the official study guide or Facebook Blueprint docs just to be sure.
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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
B
D
C/D? I think C fits small market tests better, but D is usually for bigger brands.
D imo, but does the question specify if they need the most accurate method or just one that's feasible for a small local business? If budget is a limit, that might change things.
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Q: 13
A spa wants to increase awareness of its package holiday deals internationally. It has been investing heavily in influencer marketing and social media campaigns. Its most popular influencer recently posted a video about the retreat that received 500,000 likes in the first day. The spa gained more than 3,000 new followers on its Instagram account. Given the outcome of this organic post, the spa decides to pull their paid social media campaigns because this spend generates only a quarter of the engagement compared to influencer posts. What advice should the analyst share about measuring success in this way? from paid campaigns.
Options
Discussion
Had something like this in a mock and I picked C. Shares show how far the message spreads, right? I figured more shares would mean better organic reach. Not 100% sure though.
Maybe D. Solid, clear scenario-looks like engagement isn't the whole story for long-term results here.
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Q: 14
An analyst for a primarily brick-and-mortar retailer is reviewing measurement results from the last
half for all marketing. The media plan was 50% TV spend, with some Facebook (10%), search (10%),
print (10%), and radio (20%).
No solution provides the same numbers for a single point in time. The analyst needs to recommend
how to allocate budget across channels to maximize sales for the next business quarter.
Which measurement solution should be the primary source of the analyst's recommendation?
Options
Discussion
Why not C here? Multi-touch attribution should handle cross-channel effects, right?
Its A
Option A
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Q: 15
An advertiser wants to know whether campaign strategy A had significantly different performance
than campaign strategy B in terms of additional sales. The campaigns both ran at the same time
against mutually exclusive portions of the advertiser's customer base.
What is the null hypothesis of the test design?
Options
Discussion
Option C. had exactly this on my exam. Confirms what I saw.
C vs B. I get why some would say B since "equality" is a classic null, but for this setup C is better because you're testing if A's lift is at least as much as B's, not just identical. Pretty sure test design guides lean toward C here.
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Question 11 of 20 · Page 2 / 2