Most Recent Facebook Blueprint 200-101 Exam Dumps

An analyst calculates data averages (norms) of more than 2,500 brand lift tests in the industry, then compares it to recent campaign results:

* Campaign delivered Ad recall lift +8.3pt (the norm Ad Recall is 9.Opt with a standard deviation of 0.6pt)

* Campaign delivered Message Association +7.1pt (the norm for Message Association is 7.8pt with a standard deviation of 0.8pt)

* Campaign delivered Favorability +6.3pt (the norm for Favorability is 4.Opt with a standard deviation of 1.1pt)

* Campaign delivered Purchase Intent +5.9pt (the norm for Purchase Intent is 5.3pt with a standard deviation of 0.5pt)

Which conclusion should the analyst make based on this data?

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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?

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An advertiser recently ran a month-long campaign on a new media platform. This campaign targeted customers who had purchased from the advertiser in the past year. Of the 10 million customers targeted, 3 million were reached. The average frequency for the campaign was three impressions over the month. The advertiser spent $100,000 on this media buy.

After the campaign, an analyst from the media platform noticed that customers who received six or more impressions were twice as likely to purchase than those who received three or fewer impressions. To increase the number of users who receive six or more impressions, the analyst recommends that the advertiser double their spend. The goal is to increase the frequency from three to six in order to drive a significant increase in incremental return on ad spend.

What primary concern should the advertiser's in-house measurement team have about this conclusion?

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An advertiser runs a campaign that yields the following results:

The results are statistically significant. What is the incremental ROAS for each test?

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A snack company ran a preliminary simple linear regression analysis to determine channel contributions to sales. The model, coefficients, and data set are as shown. All numerical values are rounded.

Sales(week) = BO (Intercept) + B1 f(FB Video) + B2 f(FB Display) + B3 f(TV) + B4 f(Digital Video)

What are the attributed sales from Facebook for Week 2?

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