Facebook Blueprint 200-101 Exam Dumps

A newly launched costume brand advertising heavily on Google search has recently allocated 5% of its budget to Facebook ads. Its costumes sell for S45 or less. The brand ran an account level Conversion Lift to measure the proportion of sales generated by Facebook.

To reduce negative business impact, it chooses to run the test during its off-peak season. The test ran for two weeks, with a campaign budget of S5,000. From the internal sales data, it sees that a total of 70 purchases were made during the test period.

The results:

* Lift in view content: 27%

* Lift in add to cart: 15%

* Lift in purchases: Flat / No results available

* Cost per incremental add to cart: S56

What two conclusions could the advertiser draw based on the results? (Choose 2)

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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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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 analyst working for a financial services company is reviewing Facebook campaign results to assess how many new credit card signups can be attributed to its Facebook campaign. The analyst is comparing attributed results in Facebook Ads Manager with those in Google Analytics and needs to explain why these are different.

What are two key differences between the platforms that can provide a reasonable explanation for this outcome? (Choose 2)

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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?

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