As I explore the potential of Performance Max for acquiring new customers, I realize that without proper setup, it’s easy to see inflated dashboard metrics that obscure the reality of your profitability.
One major pitfall is recycling traffic from Meta. Paid search and social traffic often overlap, leading to the dreaded scenario where platforms each claim credit for conversions they didn’t fully drive.

Many direct-to-consumer (DTC) brands I talk to boast about their growing numbers. But upon deeper inspection, it’s clear that those ‘new’ customers frequently originate from existing brand efforts, shared between different ad platforms.

These overlapping sales, while still revenue, can be deceiving. Their true cost is higher than often reported, eroding actual profit without proper intervention.

Rather than limiting yourself to one ad channel, utilizing an effective system to measure genuine customer acquisition is key.

Using brand and audience exclusions along with Customer Match data, I have developed a four-step framework to target genuine new customers through Performance Max, minimizing overlap across platforms.

Steps like excluding specific audiences and leveraging first-party data can help Performance Max focus on new customers instead of warm leads.

By refining these strategies, we’re optimizing how our ad spend contributes to true customer acquisition and enhancing overall profitability.
Inspired by this post on Search Engine Land.


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