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Data Analytics
Google Ads
Setup & Tracking
Google Ads optimises toward the conversion signals you give it. If those signals are wrong, the algorithm learns the wrong thing — at your expense.
The Problem
Smart Bidding is only as smart as the data it learns from.
An account optimising toward a GA4 goal that fires on page load rather than form submission is spending budget to drive users to a page, not to convert them. An account without enhanced conversions is operating with modelled conversion data that underrepresents true conversion volume.
Our Approach
Correct conversion data. Correct bid signals. Correct outcomes.
Conversion tracking audit: Every conversion action reviewed — firing correctly, deduplicating accurately, and mapping to actual business outcomes
Enhanced conversions setup: First-party data matching to improve conversion measurement accuracy for iOS and privacy-restricted environments
Value-based bidding configuration: Conversion values assigned correctly so Smart Bidding optimises for revenue, not just conversion volume
GA4 and Google Ads linking: Bidirectional data flow between GA4 and Google Ads — audiences, conversions, and attribution aligned
Audience signal configuration: Customer match lists, remarketing audiences, and similar audiences configured for Smart Bidding signal input
What You Get
Google Ads running on data you can trust.
Conversion Tracking Audit
Every conversion action reviewed and corrected — firing on the right event, deduplicating correctly
Enhanced Conversions
First-party matching improving conversion accuracy across privacy-restricted environments
Value Assignment
Revenue-based conversion values enabling Smart Bidding to optimise for margin, not volume
GA4 Linking
Cross-channel attribution and audience sharing between GA4 and Google Ads
Audience Setup
Remarketing and customer match audiences live and feeding bidding signals
Cost of Delay
Every day Smart Bidding runs on incorrect conversion data is a day it is learning the wrong optimisation pattern.
Google’s bidding algorithms require a learning period. An algorithm that has spent weeks learning from incorrect conversion signals has accumulated a learned bias toward the wrong outcomes. Early correction is significantly cheaper than late correction.
Smart Bidding on bad data is learning the wrong thing. A conversation costs nothing.
One conversion tracking audit takes one engagement. What it recovers in campaign efficiency typically pays for it within the first month.