Meta just rolled out Purchase Profit Optimization, so what does this actually mean for DTC brands?

Previously, you could only optimize for Purchase Value.

Now Meta lets you optimize for profit by creating a “net_revenue” parameter that factors in your COGS.

How It Works:
Your COGS data flows from Shopify → CAPI provider → Meta’s algorithm. Meta then optimizes toward profitable customers rather than just high-value orders.

The distinction matters: a $200 order with $150 COGS is less valuable than a $150 order with $50 COGS, but traditional optimization treats the first one as better.

This could fundamentally change bidding strategy for brands with variable margin products.

But we’re in early days…Meta’s claims about new features don’t always match real-world performance.

Brands are testing this now but staying skeptical until they see sustained results across multiple accounts and categories.

For Your Brand? If you have significant margin variance across SKUs, this is worth evaluating. If your margins are consistent, traditional Purchase Value optimization probably still works fine.

The implementation requires clean COGS data in Shopify and a CAPI setup that passes net revenue. Not trivial, but not impossible.

Are you seeing this rolled out to your accounts yet? Curious what early results look like beyond Meta’s claimed improvements.