Relay reads your orders and your past ads, finds every kind of buyer you have, and writes each one an ad and a page in your voice. The buyer lands on your store, in your checkout, or on your booking form if you sell a service. Budget follows the cost per purchase or per booked lead we measured, not the one the platform estimated.


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Not a lookalike. Relay reads your orders, your site and the creative you already approved, and writes a prediction for every buyer profile before launch. You can hold it against what happened.
If Meta files your product under the wrong category you pay full price for the wrong people. Relay reads the record as Meta and the AI shopping agents do, and fixes it before spend.
Each buyer profile gets its own static and page. The type, the photography and the claims are yours on all of them. You approve the guardrails once; what changes per buyer is which reason to buy leads.
Same brand, same prices, same checkout. The miss was paused on day 5 and shown in the report, not hidden. The model re-predicted and the next round launched with what it learned.
We work best with DTC brands and consumer services past $10M a year with orders or bookings to learn from. Two lines of code in, first read at day 30.