Orders exist, but revenue does not reconcile.
The store, analytics and ad platforms may use different definitions, processing windows, identities or attribution rules. A mismatch is a clue—not proof that one total is universally correct.
Conversion Tracking & Attribution
Know whether performance is broken—or the measurement path is.
We map, repair and validate the path between paid media, your website or store, calls, forms, analytics, CRM outcomes and the platforms expected to learn from them.
Best fit: established eCommerce and selected high-value service businesses already investing meaningfully in acquisition, with real outcomes that are missing, duplicated, mislabeled or disconnected across systems.
The measurement signal path
Real customer outcomes
Purchase · qualified form · phone call · invoice · offline sale
Store · data layer · GTM · GA4 · Ads · call tracking · CRM
Each handoff tested across the actual journey—not accepted because a platform says “active.”
Usable decisions
Reporting · bidding · budget · audience · next diagnostic step
↺ Monitoring keeps the path trustworthy after release.
Conversion audit
Signal-path mapping
Implementation & repair
End-to-end validation
The expensive contradiction
The business sees outcomes. The advertising platform does not.
When the same customer action exists in one system and disappears—or appears twice—in another, campaign conclusions become unsafe. We start by identifying exactly which system can see what.
Calls and forms stop at the first system.
A lead can reach CallRail, a form tool or a CRM while the click identifier, source context or qualified outcome never reaches the advertising platform.
Useful events are counted twice—or valued equally.
Browser and server events, imported analytics actions and native platform tags can overlap. A micro-action can also become a bidding target even when it is not a real business outcome.
Our point of view
A tag firing is not the finish line.
Measurement is useful when the intended business outcome reaches every required decision system once, with the right definition, value, source context and evidence that the full handoff worked.
That means tracing the real journey—not only inspecting dashboards. We compare the store or website, data layer, tag manager, analytics, advertising platforms, call tracking and CRM as one chain, then separate diagnosis, implementation and validation.
Decision standard
Do not change media because one report says zero. First establish whether the outcome failed to happen, failed to be collected, or failed to reach the system making the decision.
What we inspect, build and validate
The complete path from customer action to optimization signal.
The exact stack varies. The standard does not: define the outcome, trace every handoff, repair the agreed dependencies, and prove the path with a controlled test.
Business outcomes & conversion goals
Purchases, qualified forms, calls, appointments, invoices or other agreed outcomes translated into clear primary and observation-only signals.
Journey & signal-path mapping
The customer journey and every technical handoff documented from paid interaction through the website, store, call or form to the final business record.
Events, data layer, GTM & GA4
Event names, parameters, values, transaction identifiers, triggers and eCommerce behavior checked against what actually happens in the browser and store.
Advertising-platform signal quality
Google Ads, Meta Pixel and Conversions API, analytics imports, priorities, values and browser/server deduplication reviewed where they belong in the stack.
Calls, forms & offline outcomes
Call tracking, dynamic number insertion, form systems, click identifiers, CRM stages and offline feedback connected where access and platform eligibility permit.
QA, documentation & monitoring
Controlled test journeys, duplicate checks, platform diagnostics, evidence captures, ownership and change monitoring so the release remains understandable.
How the engagement works
Define it. Trace it. Repair it. Prove it.
The sequence prevents a working tag from being mistaken for a working measurement system. It also matches our broader baseline-first eCommerce engagement process.
Define the outcome
Agree what happened in the business, how it should be valued, which system owns the record, and which actions should guide optimization versus observation.
Trace the current path
Follow a real or controlled journey through every relevant system. Record what is collected, transformed, delayed, duplicated, filtered or lost.
Repair the dependency
Implement the agreed event, data-layer, tag, integration, goal, value, identifier or offline-feedback changes—with explicit owners and rollback points.
Validate end to end
Run controlled tests, confirm the event and source context in each destination, check duplicates and processing, capture evidence, and define ongoing monitoring.
Evidence, with the limits visible
Two measurement failures. Two different standards of proof.
One case ends at a defensible diagnosis. The other validates a repaired signal path. Neither is presented as a guaranteed performance lift.
Signal-path diagnosis
CallRail had calls. Google Ads had zero imported conversions.
We traced the break to calls entering through a fixed source tracker that did not preserve the visitor-level paid-click relationship required by the standard integration.
Read the diagnosis End-to-end implementationA retailer's online behavior, calls and lead records became one testable path.
Across WooCommerce, GTM, GA4, Google Ads, CallRail, Zapier and Jobber, early QA verified signal coverage and two valid Google leads retaining attribution through invoice creation.
Read the caseThe CallRail record confirms the diagnosis but has no publishable call count, controlled post-fix validation or performance result. The retailer case proves signal coverage and retained attribution—not a revenue, ROAS or lead-quality lift. Complete invoice-value feedback still depends on continued CRM use.
What working together produces
A measurement system your team can inspect and own.
The output is not a mysterious container full of tags. It is an agreed architecture, a tested release and a record of what each signal can—and cannot—support.
An outcome and ownership register
Definitions, values, source-of-truth systems, optimization roles, access owners and known limitations for each important action.
A current-state signal map
The path from customer action to analytics, advertising and CRM—showing every handoff, identifier, transformation and likely break.
A prioritized repair and QA plan
Changes ordered by decision risk and dependency, with test cases, expected destinations, processing windows and rollback points.
A validation record and runbook
Evidence of the final path, duplicate and error checks, unresolved limitations, monitoring responsibilities and change-governance notes.
Fit matters
Reliable measurement needs access, ownership and honest limits.
This is likely a fit when…
- Your business already generates purchases, forms, calls or offline outcomes that matter.
- You are investing meaningfully in paid acquisition and cannot confidently use the current conversion data.
- The store, analytics, ad platforms, call tools or CRM disagree in a way that changes decisions.
- Your team can provide appropriate access and an implementation owner for site, data or CRM dependencies.
- You want the limitations documented instead of forcing every platform total to match.
This is probably not a fit when…
- You need a guarantee that every historical conversion can be reconstructed.
- You expect repaired tracking by itself to create demand, improve lead quality or guarantee profitability.
- Access to the website, tag manager, analytics, advertising or outcome system cannot be provided.
- No one can approve definitions, consent decisions, development changes or CRM ownership.
- You want a report without controlled testing of the real signal path.
Connected capabilities
Measurement is the shared language between acquisition channels.
The same outcome definitions should support channel-specific decisions without pretending every platform uses the same attribution model. Planned pages remain unlinked until both language versions are live.
Before we talk
Questions eCommerce operators actually ask.
How do we know whether tracking or campaign performance is the problem?
We compare the real business record with each step in the signal path. If the order, call or qualified lead exists before a handoff but disappears afterward, the evidence points to measurement. If the path works and the valuable outcome still does not occur, campaign, demand, offer or conversion performance becomes the more likely investigation. Sometimes both problems exist.
Can you work with purchases, calls, forms and offline sales?
Yes, when the relevant systems expose the necessary events, identifiers, integrations and access. We define which action matters, which system owns the record, and how it should reach analytics or advertising. The implementation may involve a store or website, GA4, GTM, Google Ads, Meta, call tracking, CRM or offline-data workflow, depending on the actual stack.
What access will you need?
Usually read access first, then the minimum write access needed for the agreed repair. That may include the CMS or commerce platform, source code or developer support, tag manager, analytics, advertising accounts, call tracking, form tools and CRM. We confirm owners, credentials, test environments and approval rules before implementation.
Can missing historical conversions be recovered?
Sometimes a source system retained enough identifiers and timestamps to support a limited backfill. Often it did not. Platform lookback windows, consent, identifier retention and the original implementation determine what is possible. We assess recovery separately and never promise history that was not collected.
How do you prevent duplicate or low-quality conversion signals?
We define one owner for each action, use stable transaction or event identifiers where the platform supports them, test browser/server and import overlap, and separate optimization actions from diagnostic events. For leads, the first form or call may remain an early signal while qualified or closed outcomes provide deeper feedback where the sales process supports it.
Why will Google Ads, Meta, GA4 and the store still show different totals?
They can use different attribution windows, identity signals, time zones, processing rules and definitions. The goal is not forced numerical equality. It is to understand what each total represents, verify the underlying event path, and assign each system the decisions it is qualified to support.
Start with the real question
Bring us the outcome that exists in one system and disappears in another.
Tell us what the business counts as a conversion, where it is recorded and where the signal stops. We will map what to inspect first and whether the next step is diagnosis, implementation or validation.
Tell us how to reach you. After you submit, Calendly opens so you can choose a time.
Loading booking form…