Relay builds a model of the companies that buy from you: size, stage, and the trigger that made them look. Each buyer situation gets an ad and a page written for it. Budget follows the outcome you define, a qualified lead, a booked call, a trial, an application, and we measure it first-party. The cheap clicks that never turn into that outcome get excluded, not celebrated.
Relay reads your closed deals, your site and your past campaigns, and sorts the companies that buy from you by size, stage and the trigger that made them look: a renewal, a new site, a new hire, a rule change. Each becomes a buyer profile with a written prediction.
The company at renewal sees the switch. The one opening a second site sees the second site. The group with sites three and four planned sees the figures from companies like theirs. Same offer, the reason that fits each situation.
A qualified lead, a booked call, a trial, an application, a signed pilot. You define it once and Relay measures it first-party. A profile that sends cheap clicks and none of that outcome is excluded in the first week, and the report says so.
Leads, bookings and applications land where your team already works. Relay's first-party click id rides along, so every record carries the ad, the page and the buyer profile that earned it, and your attribution tool sees the same number we report.
Examples. Anything with a form, a webhook or an API works the same way, and your existing tracking stays in place.
Pre-revenue companies sent the cheapest clicks and none of the outcome. They were excluded on day 3. The two expansion profiles were scaled, the multi-site profile was paused and its page rewritten around the terms.
Tell us who buys, what counts as a win, and what a win is worth. We come back with the buyer profiles, the first ads and pages, and a written cost-per-outcome prediction.