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Definition

What is Closed-Loop Attribution?

End-to-end tracking that ties every booked patient (and every dollar of revenue) back to the original marketing source that produced them — closing the loop from ad click to revenue.

The full definition

Closed-loop attribution combines top-of-funnel tracking (DNI on calls, GCLID/FBCLID on forms, UTM parameters on all links) with downstream events (lead created, appointment booked, visit completed, revenue collected). The 'loop closes' when the booked patient event flows back to Google Ads, Meta, or other ad platforms as an offline conversion — informing bidding and audience targeting toward the patients who actually convert.

Why it matters in practice

Most healthcare practices have broken attribution: they track form submissions (cost per lead) but lose the booked patient event (cost per acquisition). With closed-loop attribution, Google Ads and Meta optimize against actual booked patients, not vanity lead counts — typically improving CPA by 30–60% within 90 days.

Real-world examples

  • A Google Ads campaign for 'IOP near me' produces 50 clicks, 20 form submissions, 8 booked patients — closed-loop attribution surfaces all three numbers per campaign
  • Meta Ads optimization shifts from 'clicks' to 'booked patient' optimization, improving CPA by 40%
  • Marketing team kills campaigns producing leads but no booked patients, doubling down on campaigns producing both

Inside Velant

Velant captures DNI, GCLID, FBCLID, and all UTM parameters on every lead, ties them to the booked patient, and pushes offline conversions back to Google Ads and Meta automatically.

Related terms

See Closed-Loop Attribution in action — inside Velant

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