Prepare for the Facebook Blueprint Facebook Certified Marketing Science Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Facebook Blueprint 200-101 exam and achieve success.
A snack company ran a preliminary simple linear regression analysis to determine channel contributions to sales. The model, coefficients, and data set are as shown. All numerical values are rounded.
Sales(week) = BO (Intercept) + B1 f(FB Video) + B2 f(FB Display) + B3 f(TV) + B4 f(Digital Video)
What are the attributed sales from Facebook for Week 2?
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?
An advertiser is running a campaign on a new advertising platform where they will spend $100,000 over the course of four weeks with the goal of driving incremental purchases. The campaign targets men, ages 18-34 and does not hold out any users from seeing the advertiser's ads. Typically, the advertising platform sees that campaigns at this spend level reach about 75% of the target audience. The analytics team at the advertising platform recommends measuring the effect of the campaign by measuring the conversions driven by all users who saw an ad versus all users who did not see an ad.
What is the primary limitation of this approach?
A start-up ecommerce brand that sells pet products wants to test campaign structure. It would like to determine if it should have separate ad sets targeting different pet interest groups or consolidate all interest groups into one ad set.
The brand sets up a multi-cell Conversion Lift test for one month. At the end of the test, no results are available to review, due to insufficient statistical power.
Which two approaches should the analyst recommend? (Choose 2)
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?
Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits
Get All 60 Questions & Answers