Online 200-101 Exam Dumps Help You Build Confidence



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Practicing with Marketing Science Professional 200-101 exam dumps questions can help you build confidence and reduce exam anxiety. By familiarizing yourself with the types of questions you can expect to see on the 200-101 Facebook Certified Marketing Science Professional exam and mastering the concepts and skills required to answer them, you can approach the exam with greater confidence and a sense of calm. Besides, 200-101 dumps questions can help you achieve this level of knowledge and confidence. Study free Facebook 200-101 exam dumps below.

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1. A large gaming company is developing a measurement strategy designed to shift its planning and buying on Facebook. The company believes that its ability to iterate on testing will provide more long-term growth than the short-term sales boosts from individual campaigns. The conversion rate is high enough that they should have NO issues with statistical power at any size of test/holdout groups. It is planning on running multi-cell Conversion Lift tests on a monthly basis.

What test/holdout proportions should the company use for each test cell?

2. A new ecommerce company that sells raincoats for dogs leverages Facebook to drive product sales. The company serves a variety of videos and static images and only targets people who previously visited their website. The company historically spends $50,000 per quarter and always hits its ROAS goal of 3x.

Last quarter, the company aggressively tried to grow its business and tripled spend.

At the end of last quarter, they compared performance between the previous two quarters and noticed the following differences in performance metrics:

• ROAS decreased by 40%

• Average frequency increased by 50%

• CPMs increased by 60%

• Reach increased by 10%

• Cost per click decreased by 15%

• Allocation of budget between creative formats remained the same

An analyst needs to run a test to identify how to scale spend efficiently.

Which variable should the analyst test first?

3. 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?

4. An analyst analyzes 1,000 Facebook video campaigns and calculates there is a correlation of r = 0.6 between view duration of a campaign and additional ad recall lift.

What should the analyst tell the company about the relationship between view duration and ad recall lift?

5. An analyst wants to measure a campaign that is delivering across Facebook and Paid Search. The client wants to understand the causal sales impact of each channel.

Which methodology should the analyst use?

6. 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?

7. A startup ecommerce company is beginning to run media campaigns to increase sales. It is having trouble taking action from its media campaigns because of the high number of KPIs it is considering when analyzing results.

The startup company has been in the growth phase, so the focus has been on increasing the number of people who see ads for their products on Facebook. As the company grows, the focus is shifting towards generating sales. For its Facebook campaigns, the business is considering incremental purchases, incremental reach, CPMs, website visits, clicks and impressions.

Which metric should be prioritized to support the company's new Facebook marketing strategy?

8. 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?

9. An advertiser is running an A/B test on Facebook with the goal of finding whether creative strategy A or B achieves the most conversions.

What is the null hypothesis of this test design?

10. 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?



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