Tracking Audit
Review properties, tags, events, duplicates and data gaps to show what can and cannot be trusted today.
GA4 • GTM • SERVER-SIDE • ATTRIBUTION
Analytics You Can Actually Trust.
GA4, Tag Manager, server-side tracking and attribution set up so every number matches reality — and your team can make decisions without second-guessing the data.
Our expertise
GA4 & GTM
Clean properties, events and containers built from a documented tracking plan.
SERVER-SIDE
First-party data collection that survives ad blockers and browser restrictions.
ATTRIBUTION
Revenue reconciled across platforms so every channel gets credit it actually earned.
Data your team stops arguing about.
- Documented tracking plans
- Consent-aware setup
- Server-side collection
- Reconciled revenue
Analytics & Tracking
Decisions Are Only as Good as the Data.
Most analytics setups grew by accident: a tag added for every campaign, a purchase event that fires twice, revenue in GA4 that never matches the store, and ad platforms each claiming the same sale. Teams end up debating the numbers instead of acting on them.
Webinopoly starts with a tracking plan tied to real business questions, then implements GA4, Tag Manager, consent and server-side collection against it — and validates every event until platform revenue, analytics and ad data agree within a known margin.
Capabilities
Every Layer of the Measurement Stack.
Engage the parts of analytics and tracking your team needs support with.
Measurement Plan
Define the business questions, KPIs, events and parameters every implementation decision is checked against.
Attribution & Reconciliation
Compare platform, analytics and store revenue, then explain and reduce the gaps between them.
GA4 Implementation
Properties, data streams, events, conversions, custom dimensions and audiences configured correctly.
Google Tag Manager
Clean, documented containers with naming conventions, triggers and versioning your team can maintain.
Ecommerce Tracking
Full purchase funnel events with accurate items, values, refunds and transaction IDs that match the store.
Server-Side Tracking
Server-side GTM and first-party collection that improve data quality and resilience to blockers.
Consent Mode & Privacy
Consent banners, Consent Mode v2 and regional rules implemented without breaking measurement.
Conversion APIs
Google enhanced conversions, Meta CAPI and other platform APIs fed with clean, deduplicated events.
Dashboards & Reporting
Looker Studio or BigQuery reporting built around decisions, not every available metric.
Ready to define the right scope?
Review the Tracking SetupProject fit
Where Are You Starting?
Engagements are scoped to the current setup and the decisions the data needs to support.
Measurement architecture
Three Systems Behind Data You Can Trust.
Reliable analytics comes from planning, collection and reporting designed together.
Plan & Governance
A documented tracking plan, naming conventions and ownership so the setup stays clean as the site changes.
Collection Layer
Data layer, Tag Manager, consent and server-side collection capturing every event once and accurately.
Activation & Reporting
Clean conversions sent to ad platforms and reporting that ties marketing to real revenue.
Our process
How a Webinopoly Analytics Engagement Runs
Audit
Review existing properties, tags, events and data quality across platforms.
Plan
Define business questions, KPIs and a documented event and parameter plan.
Build Data Layer
Implement or clean the data layer so every event has reliable, structured data.
Implement
Configure GA4, Tag Manager, consent and server-side collection against the plan.
Validate
Test every event across devices, browsers and consent states before go-live.
Reconcile
Compare analytics, ad platform and store revenue, then explain and reduce gaps.
Report & Maintain
Build decision-focused dashboards and keep tracking healthy as the site evolves.
Data quality
Every Event Validated Before Anyone Relies on It
Tracking is not finished when the tag is published. We test, reconcile and document so the data holds up when it matters.
- Duplicate event checks
- Transaction ID deduplication
- Refund handling
- Consent state testing
- Cross-domain tracking
- Enhanced conversions
- Server-side validation
- Revenue reconciliation
- Tracking documentation
Planning guidance
Questions Worth Answering Before Rebuilding Tracking
Clear answers here prevent most broken implementations.
Server-side collection improves data quality, page performance and resilience to blockers, especially for ecommerce and paid media. It adds hosting and maintenance, so it is worth it when conversion data drives significant spend.
Duplicate events, missing transactions, consent, blockers, refunds and attribution differences all create gaps. A small known gap is normal; a large unexplained one means tracking needs repair.
The events that answer real business questions — purchases, leads, key funnel steps and meaningful engagement. Tracking everything usually makes reports harder to use, not more accurate.
Someone on your team should own the tracking plan and reporting. We implement and document the setup so ownership is realistic, and can stay on to maintain it.
Start with an audit
Find Out Which Numbers You Can Trust.
Share your site, analytics access and the decisions your team relies on. We will show you where tracking is broken and what to fix first.
Related expertise
Connect Analytics to the Rest of Growth.
FAQ
Questions buyers ask before starting this work.
Yes. GA4 and GTM are the core of most implementations, including server-side GTM, plus BigQuery, Looker Studio and platform conversion APIs where needed.
Often, yes. The audit shows what can be kept, what needs repair and whether a rebuild is cheaper than patching.
We implement consent banners, Consent Mode v2 and regional consent behavior with your chosen consent platform. Legal decisions about your policies remain with your team or counsel.
A clean container with fewer, better-built tags — and server-side collection where it fits — usually makes the site lighter than the setup it replaces.
Yes. We implement ecommerce tracking on Shopify, WooCommerce, BigCommerce, Magento and custom builds, including checkout and purchase events.
Yes. We build Looker Studio or BigQuery-based reporting around the decisions your team makes, with clear definitions for every metric.
Request a quote
Tell us where your data is falling short.
Share the site, analytics access and the decisions your team relies on. We’ll help identify where tracking is broken and what to fix first.