Facebook Blueprint 200-101 Exam Dumps

A brand needs to measure how frequency affects conversions and ROI. Currently the brand runs a campaign on 2x frequency for seven days. How should the brand set up a test to understand how frequency affects incremental conversions?

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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?

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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?

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An ecommerce brand decides to run a Facebook campaign, targeting men, to sell its recently released product. The company plans to run a single-cell Conversion Lift test to understand whether that campaign can achieve significant sales lift.

The Facebook pixel is correctly integrated on its website. It also recently released a mobile app with exclusive offers only available when a customer orders through the app. In the past, it has had a narrower target of men, ages 18-44, and it plans to use the same media weight that it has used in previous campaigns.

What is a potential issue that may affect the measurement of this campaign?

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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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