A client is trying to understand how different age groups perform during its seasonal campaign. The client wants to understand if the age groups 25-34 or 35+ gravitate towards its exclusive candy ads to drive sales.How can a media planner set up a test to measure this?

To accurately measure which age group (25-34 vs. 35+) is more effective at driving sales for a seasonal campaign, a media planner should perform an A/B split test. Controlled Variables: In a scientific A/B test, you isolate a single variable—in this case, age targeting—to ensure that any difference in performance is directly attributable to that factor. By keeping the creative (the exclusive candy ads), bidding, and placement constant, you eliminate "noise" that could skew the results. Targeting Strategy: The planner would set up two identical ad groups: Ad Group A: Targets the 25-34 age bracket. Ad Group B: Targets the 35+ age bracket.