Suzanne has run all the reports she can think of, but she wants to make sure she’s not missing anything. What’s one method she can use to find parts of her campaign strategy that are under-credited?
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Correct answer: Compare conversion data across three different attribution models.
Why this is the answer
Comparing conversion data across three different attribution models, such as Last Click, First Click, and Linear, is an effective way to identify under-credited parts of a campaign strategy. Different attribution models assign credit to touchpoints differently, revealing which channels or keywords contribute to conversions at various stages of the customer journey. If a channel appears less valuable under a Last Click model but significantly more valuable under a First Click or Linear model, it suggests it's playing an important, but under-credited, role in initiating or assisting conversions. Adding budget for landing page tests is a conversion optimization tactic, not an attribution analysis method. Reviewing the health panel and cross-referencing performance reports provides an overview of account health but doesn't specifically highlight under-credited touchpoints in the same way attribution model comparison does. Using third-party targeting for promotions is a targeting strategy, not a method for identifying under-credited campaign elements.
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