Online Access Free 200-101 Exam Questions

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)

• A.Based on lift in add to cart events, the test reveals positive ROAS
• B.Media share for Facebook was sufficient to measure lift in sales
• C.There were insufficient purchases during the test period to measure lift
• D.There was insufficient statistical power to measure lift in purchases

A taxi company is working on building an understanding of household customer lifetime value. Some of their customers order via digital platforms, some via phone, and some alternate between the two. They currently calculate lifetime value (LTV) by looking at all hashed order data including email addresses for online customers and all phone numbers for phone orders. The results showed that email customers had a yearly LTV of $100, and the phone customers had a yearly LTV of $80. However, the company is aware that a group of people are introducing some noise into the results by ordering via both phone and online.
What solution should the analyst recommend to enhance the ability to create a functional LTV model?

• A.Gather hashed email and phone number for each order on any channel
• B.Ask online customers to provide their phone number in a post-order survey
• C.Select the average of the two models
• D.Remove all customers who use both from the LTV model

An ecommerce brand is interested in understanding which approach delivers the highest ROAS. The advertiser is leveraging two distinct ad sets.
Ad Set A:
Budget: $100,000 Audience: Men, ages 45+ Creative: Product Focused
Ad Set B:
Budget: $120,000 Audience: Men, ages 18-44 Creative: Product Focused
Which two approaches could be recommended to analyze these campaigns? (Choose 2)

• A.Randomized control trials
• B.Segmentation analysis
• C.Panel-based survey
• D.A/B testing

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?

• A.Continue with the placement strategy for the cell with the highest positive statistically significant awareness lift
• B.Continue with the placement strategy for the cell with the highest positive awareness lift
• C.Continue with the placement strategy for all cells with positive statistically significant awareness lift
• D.Continue with the placement strategy for all cells with positive awareness lift

An analyst is interested on comparing two audiences: men, ages 25-34 and men, ages 35-44. The brand wants to know if the older male customers spend more money on average than the younger male customers. The analyst collected random samples of 250 older customers and 220 younger customers and analyzed their shopping baskets. On average, younger men spend $102.23, and older men spend $86.46. Additional statistics are shown below.

Which conclusion should the analyst make based on this data?

• A.Using a 90% level of confidence, there is sufficient evidence for the analyst to conclude that younger customers on average spend more than older male customers.
• B.Using a 10% level of confidence, there is insufficient evidence for the analyst to conclude that there is any difference between younger and older customers.
• C.Using a 90% level of confidence, there is insufficient evidence for the analyst to conclude that there is any difference between younger and older customers.
• D.Using a 10% level of confidence, there is sufficient evidence for the analyst to conclude that younger customers on average spend more than older male customers.