— SERVER-SIDE ATTRIBUTION, BUILT AT THE EDGE
Find what contributes Not just attributes
Captured at the edge, stitched server-side, and sent to Meta clean. No statistical modeling, no guesswork.
without a match, so the platform fills the gap with a model and calls it clean.
and TikTok already verified. Nothing modeled, nothing guessed.
— WHAT'S BREAKING
Every browser update costs you signal.
You’re not imagining the drop-off. The infrastructure underneath your ad accounts is being rewritten without your permission and most “fixes” just paper over the gap.
CLICK IDS
Stripped before they land
iOS 26 trims or removes fbclid and gclid parameters before they ever reach your store, breaking last-click attribution at the source not somewhere downstream where you can fix it.
Pixels
Blocked in the browser
Ad blockers and tracking prevention quietly drop browser-side events before your ad platform ever sees them. Your dashboards look fine. Your data isn’t.
CAPI Alone
Inherits the same gaps
Standard server-side setups only forward what the browser already captured. If the browser lost it first, your “server-side” tracking never had a chance to see it.
“Clean” data
Modeled, not measured
Plenty of setups still capture through client-side JavaScript and UTM parameters, hit the same iOS and ad-blocker gaps as everyone else, then quietly fill the holes with statistical modeling before forwarding it server-side and call the result clean. It isn’t measured. It’s guessed, and labeled.
— HOW NVEKTOR WORKS
Capture before loss, not cleanup after it.
One pass through the edge replaces guesswork with a record of what actually happened.
Capture at the edge
A lightweight middleware layer sits between the click and the browser, recording fbclid, gclid, and session context before iOS or ad blockers get the chance to touch them.
Stitch the identity
Click data is matched to the resulting order server-side — one durable identity per customer, built from real signal instead of statistical modeling.
Forward in real time
Verified conversion events are pushed directly to Meta CAPI, Google Ads, and TikTok in the exact format each platform’s algorithm expects.
See the full picture
One dashboard shows real revenue and ROAS by platform, channel, and campaign. No estimates standing in for data you didn’t actually capture.
— BUILT FOR PRECISION
Four decisions that make the difference
Most of what’s called “attribution” is modeling dressed up as measurement. Nvektor is built on the opposite premise.
Edge interception
Runs upstream, not after the fact
Most tracking tools work with whatever’s left after the browser, the OS, and the network already had their say. Nvektor sits upstream of all three.
Identity, not inference
Every event is real
No probabilistic attribution, no statistical smoothing across a black box. First-party signal, matched server-side, one event at a time..
Direct Forwarding
Speaks each platform’s language
Events land in Meta, Google, and TikTok in the native format their optimization algorithms expect — so your spend actually learns from real outcomes.
Retained with Purpose
Held only long enough to deliver
Events are retained briefly so a failed send to Meta, Google, or TikTok can be retried until it’s accepted — never sold, never enriched, fully policy-compliant.
— THE DIFFERENCE
Browser pixel vs. CAPI alone vs. Nvektor
The mechanism is the whole story. Here’s where each approach actually sits in the chain.
| Browser Pixel | CAPI Alone | Nvektor | |
| Survives iOS restrictions | NO | Partially | Yes |
| Survives ad blockers | N0 | NO | Yes |
| Where capture happens | In the browser | After the browser | At the edge, before it |
| Uses statistical modeling | Varies | Often — backfilled, then called clean | Never |
| Data retention | Browser-dependent | Platform-dependent | Short-term, for delivery retries only |
Stop losing signal you already earned.
See exactly what Nvektor captures from your own traffic — before you change anything else about your stack.