Most attribution stops at the exact moment a conversion happens somewhere other than the website. Aparagon’s doesn’t have to.
A lot of what counts as a conversion never happens online: a signed quote after a home-services estimate, a vehicle test drive, an in-person membership sign-up, a phone call that closes the deal. A website pixel was never built to see any of that, so for a huge share of businesses, ad measurement simply stops at the exact point where the conversion happens, leaving the advertiser with no way to credit the campaign that actually worked.
AMP matches an advertiser’s own CRM data, however that outcome gets logged, against Amazon’s ad-exposure data inside Amazon Marketing Cloud, tying an online ad to a real-world outcome. Google and Meta offer something comparable, but only through a developer-built integration and a complex data pipeline an in-house team has to maintain. AMP does the same job through a platform that’s already built, against a signal set neither of them has access to: Amazon’s own consumer database.
Amazon matches the casino’s own enrollees against its known customer identities: more than 4 in 5 resolve to a real Amazon account.
From that identified group, AMP checks who was also served the campaign’s ads, tying a specific ad exposure to the in-person enrollment it produced.
AMP breaks the match down by campaign and by how many impressions it took: proof an ad worked, plus an answer for exactly what to run next.
A casino loyalty program that, by law, can only be joined in person makes this concrete. There’s no signup page, no online form, nothing a pixel could ever have seen. Amazon first matched more than 4 in 5 of the casino’s own enrollees back to a known Amazon customer identity, then checked who from that identified group had also been served the campaign’s ads, tying a specific online ad exposure to an in-person enrollment this advertiser had no way to prove before.
That’s not where it stops, either. Performance shows which specific campaign drove the outcome, so an advertiser can tell a strong placement from a weak one. That’s a level of detail no single top-line number can give you. Frequency shows how many times someone needed to see the ad before it worked, so an advertiser can tell how much exposure was needed to secure the conversion.
See what a closed-loop measurement setup looks like for your business.
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