Free 200-101 Questions for Facebook Certified Marketing Science Professional 200-101 Exam as PDF & Practice Test Engine

An advertiser wants to conduct a multi-cell Brand Lift test. The cells are designed to help the advertiser understand whether adding Instagram Stories as a placement impacts brand awareness. The test is designed with the following:
* Facebook Feed + Instagram Feed
* Instagram Stories + Facebook Feed + Instagram Feed
* Automatic Placements
What should the analyst recommend based on the test results?

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?

A car manufacturer discovers that the purchase journey is typically one-year long, involves several media channels and is followed by a dealership visit that ends with a purchase at the dealership. Historically, sales are mostly influenced by the quality of the customer service experience. The manufacturer has a KPI of driving incremental customers to its website.
What measurement solution should be used?

A large ecommerce company wants to know which of its two creative strategies is generating the highest number of conversions. It already knows that both strategies generate significant lift compared to a holdout group.
What measurement solution should be used?

An ecommerce brand plans on running a Conversion Lift test on a new media platform. The digital marketing team wants to reach existing customers who have purchased one of its products within the past year. To enable this targeting decision, the digital marketing team asks an analyst to provide a list of email addresses of customers who made a purchase in the past 365 days. The total count of these customers is 10,000,000.
The platform does not have a lift tool in production, so it recommends that the advertiser hold out 10% of the customer list to compare against the other 90%.
Which sampling methodology should the analyst use to most efficiently select the test/control groups?

An analyst has calculated an average lift from a random sample of 300 similarly sized campaigns. The analysis showed the following:
* Minimum lift is 98
* Maximum lift is 177
* 95% confidence interval for the average lift per campaign is (133, 145)
* Average p-value for each individual campaign's lift is p = 0.03
What should the analyst conclude about the distribution of lifts?