Prepare with Facebook : 200-101 exam braindumps as your best preparation materials

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

An advertiser runs a campaign that yields the following results:

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

• A. A- $2.80, B- $2.13
• B. A - $0.80, B - $0.47
• C. A - $2.60, B - $1.97
• D. A- $0.21, B- $0.16

A marketing analyst wants to understand the relationship between campaign frequency and additional return on ad spend (ROAS) across 150 CPG Facebook campaigns. The analyst has the following information on these campaigns: reach, frequency, duration, budget, product category, buying strategies, and outcomes like additional sales and ROAS. The analyst suspects that campaign frequency is related to other campaign characteristics and is planning to run the following statistical model:
ROAS Lift = bO + b1.reach + b2.frequency + b3.duration + b4.budget + b5.product category + b6.buying strategy
What two additional statistical analysis are required to test the analyst's hypothesis? (Choose 2)

• A. Correlation matrix of campaign frequency and other predictors of ROAS Lift
• B. Logistic regression including all relevant campaign characteristics
• C. Simple linear regression of frequency and ROAS Lift
• D. Multiple linear regression including non-linear and interaction terms

A car manufacturer discovers that the purchase journey is typically one-year long, involves several media channels and is followed by a dealership visit that ends with a purchase at the dealership. Historically, sales are mostly influenced by the quality of the customer service experience. The manufacturer has a KPI of driving incremental customers to its website.
What measurement solution should be used?

• A. Conversion Lift
• B. A/B test
• C. Last-touch attribution
• D. Even credit attribution

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 10% level of confidence, there is insufficient evidence for the analyst to conclude that there is any difference between younger and older customers.
• B. 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.
• C. 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.
• 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.