How AI Is Making Marketing Attribution (Finally) Easy— Scott Desgrosseilliers | Why Brands Fail Without Attribution, How AI Changes Tracking, Why Ad Platform Data Misleads, What Strategy Ensures Accurate Measurement, Why To Focus On New Customers (#417)
AI is revolutionizing marketing attribution by providing accurate, first-party data that helps e-commerce brands understand what's truly driving sales. This episode reveals how to cut through ad platform noise, accurately measure new customer acquisition, and leverage AI to build a robust, scalable marketing strategy.
Key takeaways
Ad platforms often mislead with attribution by taking excessive credit for conversions, especially with 30-day view-through windows, leading to inaccurate ROAS reporting. Don't solely rely on their data.
Prioritize new customer acquisition in your measurement strategy. Ad platforms often optimize for easy conversions (i.e., repeat customers) when given a broad sales objective, masking true new customer acquisition costs.
Implement the 'Five Forces System' for attribution: Intention (what is the goal?), Expectation (how will we measure success and over what timeframe?), and then create Scale, Chill, or Kill zones for campaigns based on new customer acquisition cost (CAC).
To get accurate data, send custom events to ad platforms that *only* signal new customer purchases, ideally tied to specific products. This helps the AI optimize for true new customer acquisition rather than retargeting existing customers.
Understand that immediate profitability from new customer acquisition campaigns might not happen. Align expectations for a 'warm-up sequence' or delay in profitability, recognizing that a longer measurement window (e.g., two weeks) is often necessary for accurate assessment.
Themes
ai in marketingcustomer acquisitiondata analyticsmarketing attribution
In this episode, Scott Desgrosseilliers, CEO of Wicked Reports, discusses the complexities of marketing attribution and the common pitfalls brands face in tracking their ad campaigns. He emphasizes the importance of having a reliable attribution source, the misconceptions surrounding ad platform reporting, and introduces his Five Forces system designed to help marketers optimize their strategies. The conversation also highlights the role of AI in improving attribution accuracy and...
Frequently asked about this episode
What does this episode say about ai in marketing?
Ad platforms often mislead with attribution by taking excessive credit for conversions, especially with 30-day view-through windows, leading to inaccurate ROAS reporting. Don't solely rely on their data.
What does this episode say about customer acquisition?
Prioritize new customer acquisition in your measurement strategy. Ad platforms often optimize for easy conversions (i.e., repeat customers) when given a broad sales objective, masking true new customer acquisition costs.
What does this episode say about data analytics?
Implement the 'Five Forces System' for attribution: Intention (what is the goal?), Expectation (how will we measure success and over what timeframe?), and then create Scale, Chill, or Kill zones for campaigns based on new customer acquisition cost (CAC).
What does this episode say about marketing attribution?
To get accurate data, send custom events to ad platforms that *only* signal new customer purchases, ideally tied to specific products. This helps the AI optimize for true new customer acquisition rather than retargeting existing customers.
What does this episode say about ai in marketing?
Understand that immediate profitability from new customer acquisition campaigns might not happen. Align expectations for a 'warm-up sequence' or delay in profitability, recognizing that a longer measurement window (e.g., two weeks) is often necessary for accurate assessment.
