Tracking audit
Start hereA structured review of analytics, tags, pixels, consent, conversion flows and reporting gaps.
Tag and trigger inspectionPixel and conversion validationConsent and privacy risk mapPrioritized implementation plan
Tracking you can rely on.
We clean up tracking setups that grew market by market and unify them into one privacy-first measurement layer, so analytics, pixels, consent and experiments produce numbers your teams can trust.
Modern tracking breaks quietly.
Every market started with its own agency, its own tags and its own definitions. That is how enterprise tracking naturally grows. The usual symptom: GA4 reports 1,400 conversions, the ad platforms claim 2,900, and the warehouse holds a third number nobody can explain.
Attribution becomes political
GA4, ad platforms and dashboards disagree. Meetings turn into debates about numbers instead of decisions.
Consent gets uncertain
Tags fire too early, too late or not at all. Consent Mode, CMP behavior and server-side events need exact alignment.
Experiments lose credibility
A/B tests need clean events, stable conversions and trustworthy audiences. Otherwise learnings are fragile.
We turn messy tracking into dependable infrastructure.
A measurement team that scales to the problem.
Web Wombats is an engineering-led tracking practice for multi-market enterprise teams. No account layers, no juniors learning on your budget. Every engagement is staffed with senior specialists and sized to what the problem actually needs.
Staffing
Senior specialists only, from a two-week audit to multi-market rollouts. No handovers into a junior pool.
Posture
Embedded in your tools, tickets and release cycles, next to marketing, legal and engineering.
Standard
Everyone who touches your setup writes and reads code. Specs, QA and documentation on every change.
Certified
Tracking · Consent management · Conversion rate optimization
One partner for the full tracking lifecycle.
Audit first. Implement properly. Keep it running. Improve it as your organization, website and campaigns change.
Implementation rebuild
FoundationWe repair or rebuild your measurement setup so technical tracking matches business definitions.
DataLayer and event taxonomyGA4 and GTM implementationServer-side taggingMarketing pixel architecture
Consent & governance
ControlWe align CMP behavior, Consent Mode and tag firing rules with your legal and business requirements.
Consent Mode v2CMP integration QATag governance rulesDocumentation and ownership
Tracking operations
OngoingAfter launch, we monitor tracking health and support releases so regressions do not go unnoticed.
Release QAMonthly data quality checksAlerting and regression reviewsStakeholder support
Precise enough for engineering. Clear enough for marketing.
We bridge strategy, implementation and daily operations. Every setup gets a spec, a QA process and a clear ownership model.
01 / 05
Discovery and risk scan
We map your current stack, business goals, reports and known data trust issues.
02 / 05
Measurement architecture
We define events, parameters, destinations, consent rules and source-of-truth decisions.
03 / 05
Implementation and migration
We implement clean tracking in GTM, GA4, server-side containers, pixels and related systems.
04 / 05
Validation and documentation
We test across browsers, consent states, campaigns and conversion journeys, then document what matters.
05 / 05
Operations and improvement
We keep the foundation stable and prepare it for dashboards, activation and experimentation.
Watch this page measure itself.
Scroll, click, open the cookie settings and change your mind. Every event this page pushes to its dataLayer appears in Fig. 04, stamped with the consent state it fired under. If you can see what fired and when, you can argue with numbers instead of feelings.
Liveconsent: pending0 events
The ledger mirrors this page’s own dataLayer, in your browser. Whether anything leaves it is your call: deny statistics and the events still render here, but no analytics request fires. That’s the point.
We work where tracking actually happens.
From browser events to server-side enrichment, ad platform conversion APIs and analytics warehouses.
Analytics
Google Analytics 4 · Google Tag Manager · Server-side GTM · DataLayer specs
Activation
Google Ads · Meta Pixel / CAPI · LinkedIn Insight Tag · TikTok Pixel …
Consent
Consent Mode v2 · OneTrust · Cookiebot · Usercentrics
Data & BI
BigQuery · Data Studio · QA automation
Experimentation
Optimizely · Adobe Target · Kameleoon · AB Tasty …
Platforms
SAP Commerce Cloud (Hybris) · Adobe Experience Manager · Storyblok · Shopify …
One measurement layer your teams can build on.
Marketing can optimize campaigns. Product can analyze behavior. CRO can run experiments. BI can model data. Leadership can make decisions without debating whether the numbers are real.
Why reliable tracking is a performance lever, not a checkbox →
Trusted conversion signalsfor media buying and attribution
Clean experimentation eventsfor A/B tests and CRO programs
Documented ownershipso changes stop becoming chaos
Monitoring after launchbecause tracking breaks quietly
Let’s review your tracking setup.
In a short call, we’ll discuss your current stack, where trust breaks today and whether a structured tracking audit makes sense.