Conversion API & Enhanced Conversions
Ad platforms bid on the conversions they can see. Between browser restrictions, consent choices and payment redirects, a meaningful share of your conversions never reach them, so the algorithms optimize on a partial picture of your business. Conversion APIs and enhanced conversions close part of that gap by sending conversions from your server instead of the browser.
Why this matters more than most reporting fixes
A broken report costs you a bad decision. A broken conversion signal costs you continuously, because it feeds the bidding algorithm every hour of every day. When Meta or Google sees 70 percent of your purchases instead of 95, they optimize toward the audience that happens to be measurable, not the audience that buys. The waste does not appear as an error anywhere; it appears as campaigns that quietly underperform their real potential.
This is also why we put it ahead of most infrastructure projects in priority. Conversion integrations touch revenue directly, cost little to implement compared to a full server-side migration, and the improvement is measurable within weeks.
What we set up
Meta Conversions API. Server-side purchase, add to cart, lead and custom events sent with the identifiers Meta can match on: hashed email, phone, click identifiers, external IDs where you have them. The critical part is deduplication: browser pixel and server events must carry matching event IDs, or you double count and poison your own optimization data. We see broken deduplication more often than missing CAPI entirely.
Google enhanced conversions. Hashed first-party data attached to conversions so Google can recover matches the browser lost, configured through the tag or the API depending on your stack, with the consent signals wired correctly so ad_user_data governs what gets sent.
Other platforms on the same pattern. TikTok Events API, Microsoft, Criteo and others follow the same logic, and they should all read from one event definition rather than each having its own bespoke implementation drifting out of sync.
How we build it
On your existing event architecture, not next to it. The single most common failure we inherit is a conversion integration built as a side project: the server sends a purchase event that counts revenue differently from GA4, which counts it differently from the backend, and nobody notices until three systems disagree in a quarterly review. Our integrations read the same events, the same revenue field and the same transaction IDs as everything else in your measurement stack.
Then the hygiene work that decides whether it actually helps: event ID parity between browser and server, revenue and currency passed correctly, consent state respected per signal, and validation against the platforms’ own diagnostics. We check match quality after launch rather than declaring victory at deployment, because a CAPI feed with poor identifier coverage looks healthy in the dashboard while delivering little.
Consent is not optional here
Everything we send is gated on consent. Hashed identifiers from users who declined advertising storage do not get sent, ad_user_data and ad_personalization are respected as distinct signals, and the setup is documented so your legal counsel can see exactly what leaves your systems and under what condition. Improving match rates by ignoring consent is not a trade we make, and it is not a trade worth making.
Where this sits
Conversion integrations are delivered inside Analytics Implementation, and their health is a standing check in our Measurement Audit, because bidding on broken conversion data costs more than any reporting error on your dashboards.
FAQ
Do we need server-side GTM for CAPI?
Will this inflate our conversion numbers?
How much improvement should we expect in match rates?
Does this work if most of our users decline tracking?