Attribution

Know Exactly What's
Driving Revenue.

Last-click attribution is lying to you. It overstates the value of branded search and direct traffic while understating the role of upper-funnel paid activity. We implement proper attribution models that show you what is actually driving revenue so you can invest accordingly.

Attribution you can
actually trust.

We build attribution models that reflect how your customers actually buy. Clean conversion tracking, GA4 integration, and incrementality testing to give you confidence in every budget decision.

Get a Proposal
  • Full conversion tracking audit and fix
  • GA4 enhanced ecommerce setup and validation
  • Google Ads conversion import and deduplication
  • Data-driven attribution model implementation
  • Multi-touch attribution reporting dashboard
  • Cross-channel attribution comparison analysis
  • Incrementality test design and execution
  • View-through and engaged-view conversion setup
  • Offline conversion import for high-value sales
  • Monthly attribution performance review

How it works

01

Tracking Audit

We audit every conversion action in your Google Ads account and GA4 property. Double-counting, missing events, and misconfigured values are endemic and silently distort every ROAS metric you rely on.

02

Clean & Rebuild

We fix tracking at source using GTM. All purchase events fire once, pass revenue values correctly, and attribute to the right campaign. We validate against actual order data before signing off.

03

Attribution Model

We implement data-driven attribution where conversion volume allows. For smaller accounts, we set up time-decay or position-based models and document the assumptions clearly.

04

Test & Validate

We design geo-based or time-based incrementality tests to validate that paid search is actually driving revenue and not just claiming credit for organic conversions. Real evidence for budget decisions.

Common questions

Why is last-click attribution a problem?

Last-click gives all credit to the final touchpoint before conversion. In practice, a user might have clicked a Shopping ad, then searched your brand name and converted. The Shopping ad gets zero credit. This leads to underinvestment in upper-funnel campaigns.

What is data-driven attribution?

Data-driven attribution uses machine learning to distribute conversion credit across all touchpoints based on their actual contribution to the conversion. It requires a minimum number of conversions to activate but is the most accurate model available in Google Ads.

How do you know if our tracking is broken?

We cross-reference Google Ads conversion data against your order management system or GA4 ecommerce data. If the numbers don't match within a 5% tolerance, something is wrong. Most accounts have discrepancies of 20% or more.

What is an incrementality test?

An incrementality test measures the additional revenue driven by paid search by comparing a test group who see ads with a control group who don't. It separates genuine paid search impact from revenue that would have happened anyway.

Stop making budget decisions
on bad data.

We'll audit your conversion tracking for free and tell you exactly where your reporting is letting you down.