Measure Every Lead Your PPC Generates.
The measurement stage of the lead engine. We fix the tracking so every lead is captured, Google optimises towards real leads rather than form fills, and the cost per acquisition you report is one you can actually stand behind.
This is how we prove the results of your PPC, and it works alongside conversion optimisation as one connected lead engine.
How We Measure and Prove Your PPC
Your PPC is only as good as the data feeding it. Performance Max and Demand Gen optimise towards whatever you tell them counts as a conversion. If that signal is an on-site form fill rather than a qualified lead, the AI gets very good at producing cheap, low-quality leads.
The job of this stage is to measure the right thing. Server-side tracking and offline conversion import feed real leads and closed sales back to Google, so the bidding chases quality. That is what lets us stand behind a cost per acquisition rather than guess at one.
Most accounts we audit have at least three measurement gaps they cannot see: blocked conversions, double-counted form fills, or phone leads that were never tracked at all. Each one quietly inflates cost per acquisition and hides what is actually working.
What We Deliver
Server-Side Tagging (GTM SS)
Moves tracking server-side so it survives ad blockers, browser restrictions, and tracking prevention. This is what keeps your PPC conversion data complete, so Google bids on the leads you actually get rather than the ones a browser let through.
Consent Mode v2
GDPR-compliant tracking that keeps the conversion data flowing when users decline cookies. Done properly, your campaigns retain the signals they need to optimise towards leads instead of going blind.
Call Tracking
Dynamic number insertion and call attribution tied back to campaigns and keywords. For lead-gen businesses where the phone rings, this closes the single biggest measurement gap most advertisers ignore.
CRM Integration & Offline Conversions
Real lead and sale data fed back into the ad platforms so Google optimises towards quality, not form fills. When Google Ads knows which clicks became customers, your cost per acquisition starts to reflect reality.
GA4 & Google Ads Reconciliation
A clean event taxonomy and a single, reconciled view so GA4 and Google Ads agree on what a conversion is. A cost per acquisition you can actually stand behind starts here.
BigQuery Data Warehouse
When you need to go deeper: raw, unsampled event data in BigQuery for custom attribution and for joining marketing data with CRM and revenue.
Looker Studio Dashboards
Reporting that answers commercial questions, built on BigQuery data, with cost per acquisition and lead quality front and centre rather than vanity metrics.
Marketing Mix Modelling
For larger budgets: statistical models that show which channels drive incremental growth, accounting for the interactions and delays that digital attribution misses.
When You Need to Go Deeper
Most lead-gen accounts only need clean, complete tracking. When the budget justifies it, the same data flows into a deeper stack for custom attribution and reporting.
Signs Your Data Is Broken
If any of these sound familiar, your marketing decisions are built on unreliable foundations.
Your GA4 and Google Ads disagree on how many leads you got
You can't say what a lead actually costs you, by campaign
Consent mode is silently blocking a large share of your conversions
Phone enquiries from paid clicks are not tracked at all
Google is optimising towards form fills, not qualified leads
Measure What Your PPC Is Really Costing You
Get a free PPC audit and we will show you the gaps in your tracking, what your true cost per acquisition is, and what to fix first.
Get a Free PPC Audit