Know which conversions actually count
Conversion tracking configured across ad platforms and analytics so spend decisions are based on real outcomes.
What is Conversion Tracking?
Conversion tracking is the practice of recording specific outcomes - purchases, leads, sign-ups, phone calls - across every ad platform and analytics tool in use, and reconciling those numbers against a single source of truth so that spend and bidding decisions are based on outcomes that actually happened, not on whatever each platform reports by default.
Conversion tracking means configuring and verifying the conversion events that ad platforms and analytics tools count, so the numbers driving budget decisions actually reflect real, non-duplicated outcomes.
Why this matters for the business
Every major ad platform has its own default attribution window, its own definition of a conversion, and its own incentive to report a number that looks favourable. Left unchecked, the same purchase can be counted by Google Ads, Meta, and GA4 simultaneously, inflating apparent performance across all three while the actual conversion count stays the same.
This directly affects bidding. Platforms with automated bidding optimise toward whatever they are told counts as a conversion - if that signal is duplicated, delayed, or missing entirely for offline outcomes like phone leads, the algorithm is optimising toward the wrong thing without anyone noticing until spend has already been wasted.
What makes this hard to get right
- Each ad platform counts and attributes conversions using its own default window and logic
- The same conversion can fire and be counted more than once across platforms
- Offline conversions - phone leads, in-person sales - rarely make it back into the platform actually making the bidding decision
How we approach Conversion Tracking
Cross-Platform Conversion Configuration
- Consistent conversion definitions across Google Ads, Meta, and LinkedIn
- Attribution window alignment across platforms
- Primary versus secondary conversion designation
Offline Conversion Import
- CRM-to-platform conversion upload pipelines
- Match-rate optimisation for offline imports
- Lag-time handling for long sales cycles
Value-Based Tracking
- Passing real transaction or lead value, not just a fired event
- Lead-quality scoring mapped back into ad platforms
Duplicate Prevention
- De-duplication logic across GA4, CRM, and ad platforms
- Single source-of-truth reconciliation for reporting
CRM Reconciliation & Audit
- Periodic audit of platform-reported conversions against CRM records
- Investigating and correcting drift when numbers diverge
Scope, area by area
| Area | What we deliver |
|---|---|
| Platform Configuration | Conversion actions configured and verified across every ad platform in use |
| Offline Import Pipeline | CRM or call-tracking data flowing back into ad platforms on a schedule |
| Audit Report | Platform-reported conversions reconciled against CRM records with discrepancies flagged |
How it actually runs
Conversion Inventory
We list every conversion currently being tracked and confirm where and how each one is defined.
CRM Reconciliation
Platform-reported numbers are checked against actual CRM or order records to find drift.
Cross-Platform Configuration
Conversion actions are rebuilt or corrected consistently across every platform in use.
Offline Import Setup
Where offline conversions exist, an import pipeline is built back into the platforms making bidding decisions.
Ongoing Audit
Conversion accuracy is re-checked on a schedule, since platform changes can silently break tracking without warning.
How this compares
| Reconciled Conversion Tracking | Platform-Reported Numbers Alone |
|---|---|
| Conversions verified against CRM or order records | Numbers trusted as reported by each platform |
| Duplicate conversions across platforms are identified and removed | The same conversion is counted multiple times across channels |
| Offline conversions feed back into bidding decisions | Bidding algorithms never see offline outcomes at all |
No reconciliation process eliminates every discrepancy - the goal is a known, explainable gap instead of an invisible one.
What we measure this against
- Match rate between platform-reported and CRM-recorded conversions
- Duplicate conversion rate across platforms
- Offline conversion import coverage
Who needs this
Businesses scaling paid spend on unverified conversion data
If nobody has checked platform conversions against CRM records, bidding algorithms may already be optimising toward the wrong signal.
Long sales-cycle B2B businesses
Offline and delayed conversions need to be imported back into the platforms making real-time bidding decisions.
Where this applies
- A business increasing ad spend wants confidence that the conversion numbers justifying that spend are real
- A B2B company with a long sales cycle needs closed deals fed back into ad platforms weeks after the initial click
- A business running ads across multiple platforms suspects the same conversion is being counted more than once
The conversion count a platform shows by default is not designed to match your CRM - it is designed to look reasonable inside that platform's own dashboard. Those two things happen to align sometimes, but treating platform-reported numbers as ground truth without checking is one of the more expensive assumptions we see in paid media accounts.
Other services in this area
Set up properly, not just installed
GA4 implementation with the event structure and custom dimensions your business actually needs.
One place to manage every tag, cleanly
GTM implementation and container management so every tracking tag is documented, tested, and reliable.
Credit assigned to what actually worked
Attribution modelling that reflects your actual sales cycle, not a default last-click assumption.
Consistent tagging is the whole point
UTM naming conventions and governance so campaign data stays clean and comparable over time.
One dashboard, not five exported spreadsheets
Looker Studio dashboards that answer specific business questions, refreshed automatically.
A report that says what to do next
Regular reporting that includes analysis and recommendations, not just a wall of numbers.
Common questions
Google Ads, Meta, and LinkedIn are the most common, alongside GA4 and whatever CRM or call-tracking system holds the actual outcome data.
Yes, provided there is a system - a CRM, call-tracking tool, or point-of-sale platform - recording those outcomes somewhere. The import pipeline connects that system back to the ad platforms.
We compare conversion counts and timestamps across platforms and against the CRM record for the same outcome, which surfaces cases where more than one system is claiming credit for the same event.
Usually, yes - correcting duplicates and misconfigured events almost always changes the reported number, sometimes down as inflated duplicates are removed and sometimes up as previously missed offline conversions get added back in.
No - platforms update their own tracking and attribution logic on their own schedule, sometimes without notice, and that can reintroduce drift after everything was correctly configured. What we can guarantee is a process for catching it, through periodic re-audit rather than a one-time fix.
A quarterly check is reasonable for most accounts, though a fresh audit is worth doing sooner after any major platform update or tracking change.
Not sure your reported conversions match what actually happened?
We will reconcile your platform-reported conversions against your CRM before recommending any changes to spend.
Talk to us →