Attribution Tracking

Stop Guessing Which Ads
Actually Drive Revenue

Last-click attribution is lying to you. We implement full-funnel, server-side tracking that shows you the real story — which campaigns, channels, and creatives are generating actual revenue.

Get an Attribution Audit Book a Strategy Call

What's Included

  • Meta Conversions API (CAPI) implementation
  • Google Tag Manager server-side container
  • Cross-channel attribution modeling
  • Custom UTM taxonomy and tracking plan
  • Revenue attribution dashboards
  • Ongoing data quality monitoring
  • Ad platform pixel optimization
  • Attribution audit and gap analysis

Why Attribution Matters

40%†

of ad spend is wasted on average due to poor attribution

3x†

average ROAS improvement after proper attribution implementation

100%†

of conversions tracked with server-side implementation

† Figures marked † are internal estimates pending verification. We will replace them with audited numbers or remove them.

See the attribution work in a case study.

How it runs

Process

01

Attribution audit

We compare platform-reported conversions against your actual revenue and quantify the gap, per channel.

02

Tracking plan

A single event taxonomy and UTM standard across every channel, agreed before anything is implemented.

03

Server-side implementation

Meta CAPI, GTM server container, and HYROS configured with deduplication against existing pixels.

04

Validate and monitor

Match-rate and event-quality dashboards so you can see tracking health, not just assume it.

What you get

  • Attribution audit with quantified gap per channel
  • Tracking plan: event taxonomy and UTM standard
  • Meta Conversions API implementation with deduplication
  • Google Tag Manager server-side container
  • HYROS setup or audit where applicable
  • Revenue attribution dashboard and data-quality monitoring

Timeline

Typical engagement: 2–4 weeks

  1. Week 1

    Audit

    We map what exists, where it breaks, and what number has to move. You get a written scope before we build.

  2. Weeks 2–3

    Build

    Built against your real accounts and data, with a staging path so nothing touches production untested.

  3. Week 4

    Deploy & handoff

    Production cut-over, monitoring and alerts, a runbook, and a recorded walkthrough for your team.

What a build looks like

E-commerce brand spending six figures a month across Meta and Google

Illustrative example

Before

Meta reports twice the purchases Shopify does, Google reports half, and the team cannot tell which channel to scale.

What we build

  • Meta CAPI fed from Shopify order webhooks, deduplicated against the browser pixel by event ID.
  • A GTM server container so every platform receives the same events from one place.
  • A dashboard comparing each platform’s reported purchases to Shopify orders daily, with match rate per channel.

After

Platform numbers reconcile to real orders within a known tolerance, and budget decisions are made on revenue, not on whichever platform claims the most.

Questions we get on the call

Do I need HYROS for this?

No. HYROS is one of the tools we implement and we know it deeply, but server-side tracking with Meta CAPI and GTM stands on its own.

Will this fix iOS tracking loss?

It recovers a large share of it. Server-side events are not blocked the way browser pixels are, which is why match rates improve.

How do you avoid double-counting?

Every event carries an ID shared between the browser pixel and the server event, so the platform deduplicates them.

What does the audit cost?

The initial audit is part of the strategy call. If we take the engagement, the full audit is the first week of work.

Get an attribution audit