Analytics setup that actually tracks the truth.
Most dashboards quietly lie. Duplicate conversions, broken cross-domain sessions, bot traffic, and last-click attribution all stack into reports that look professional and feel directionally right — and lead to consistently wrong decisions. We configure GA4, GTM and server-side tagging so every metric is one your finance team will accept.
How we earn your confidence
Four signals that show how we demonstrate Experience, Expertise, Authoritativeness and Trustworthiness on this service — visible to both your team and the search engines that rank us.
GA4 + GTM certified practitioners
Hands-on GA4, GTM and Tag Manager certifications across the team — every implementation reviewed by someone who's shipped it before, not learned it on your account.
Server-side tagging fluency
sGTM deployments on Cloud Run / App Engine, Meta CAPI, Google Ads enhanced conversions and LinkedIn CAPI — match rates restored where iOS 14.5 broke them.
Consent-mode v2 compliant
Privacy-first stacks built with Consent Mode v2, CMP integrations (OneTrust, Cookiebot, Iubenda) and modelled conversion gap-fill — DPDP and GDPR ready.
Debug-first methodology
Every event ships only after passing GA4 DebugView, GTM preview, Tag Assistant and a verification report — nothing goes live on assumption.
We've rebuilt analytics stacks where ROAS was overstated by 60%, recovered Meta match rates with server-side CAPI, and configured GA4 properties for catalogues that finance teams now actually reconcile against the books.
From measurement audit to clean reporting — in five steps.
Five disciplines we run in sequence so every event, every conversion and every attribution path is defensible.
Audit — current stack & data quality
Full inventory of existing GA4 properties, GTM containers, pixels and tags. We surface duplicate events, missing parameters, bot pollution, broken cross-domain sessions and consent gaps before recommending anything new.
Measurement plan — events & KPIs
A documented measurement plan covering every event, parameter, conversion, custom dimension and audience — mapped to the KPIs leadership actually reports. Reviewed and signed off before any tagging work begins.
Implementation — GTM, GA4 & server-side
Tag deployment via GTM (web + server), GA4 property configuration, consent mode v2, Meta CAPI, Google Ads enhanced conversions and BigQuery export — built modularly so future changes don't require re-tagging the site.
QA & validation — debug, preview, reconcile
Every event verified in GA4 DebugView, GTM Preview, Tag Assistant and the network layer. Transactions reconciled against Shopify / backend orders. Nothing ships live until the verification report is green.
Reporting & handover — dashboards + docs
Looker Studio dashboards, GA4 Explorations and a written tagging spec your team can maintain. Optional retainer covers ongoing tag changes, dashboard updates and attribution refinement as your stack evolves.
Six tools. One coherent measurement stack.
Your analytics stack is never just one product. We deploy the six platforms below as a single connected system — not six disconnected accounts pulling against each other.
Google Analytics 4
GA4 property setup, event configuration, conversion marking, custom dimensions and audiences — built to match the questions your team actually asks.
Google Tag Manager
Web + server containers, dataLayer specs, trigger logic and variable libraries — so marketing can deploy tracking without filing engineering tickets.
BigQuery export
GA4 → BigQuery raw event export, scheduled queries and stitched views — the foundation for warehouse-grade reporting beyond the GA4 UI sample limits.
Looker Studio
Executive dashboards blending GA4, Google Ads, Meta, Search Console and BigQuery — the report leadership opens, not the one analysts build twice.
Server-side tagging
Server containers on Cloud Run / App Engine routing GA4, Meta CAPI, Google Ads and LinkedIn CAPI — first-party cookies, restored match rates, faster pages.
Segment / CDP
Customer data platform setup with Segment, RudderStack or mParticle — one tracking spec, fan-out to GA4, Meta, Mixpanel, Klaviyo and the warehouse.
Six tracking surfaces that actually move decisions.
The unglamorous work that separates a trustworthy analytics stack from one that just looks busy. Each surface below is part of every configuration engagement.
Event tracking
Custom GA4 events for every meaningful interaction — clicks, scrolls, video plays, form steps, downloads — wired to your KPIs, not GA4's defaults.
E-commerce tracking
view_item, add_to_cart, begin_checkout and purchase events with full item arrays, coupons and shipping — reconciled against backend orders.
Consent Mode v2
Granted / denied consent states wired through your CMP, modelled conversions filling denial gaps — DPDP and GDPR ready out of the gate.
Cross-domain tracking
Linker parameters, decorated URLs and session stitching across marketing site, store and checkout — no more "(direct) / (none)" spikes mid-funnel.
Custom dimensions
User type, plan tier, logged-in state, content category, internal team flag — the slices reporting actually needs but GA4 doesn't ship with.
Attribution modelling
Data-driven attribution, custom channel groupings, paid-platform alignment — last-click destroys budget allocation; we configure something better.
What success looks like — measured, not asserted.
Six KPIs we report on every engagement so analytics work is always tied back to data quality, not vanity event counts.
Data accuracy
Conversions, revenue and key events reconciled against backend systems — variance under 2% is the target on every implementation.
Event coverage
Share of meaningful site interactions captured against the measurement plan — coverage is the input that makes every other metric trustworthy.
Attribution clarity
Share of conversions attributed to a known channel, with assisted touchpoints visible — direct/(none) shrinks as soon as cross-domain is fixed.
Debug-pass rate
Tags shipping live only after passing GA4 DebugView, GTM Preview and Tag Assistant — first-time-right is tracked release after release.
Time to insight
How long it takes a question to become an answer — dashboards and Explorations tuned so leadership stops waiting on analysts for routine reads.
Data freshness
Latency from event to dashboard — server-side, BigQuery streaming and scheduled refreshes governed against an SLA, not "whenever GA4 catches up".
Where we run trustworthy analytics stacks.
Categories we've configured enough properties in to know which events matter, which platforms break, and where reporting usually lies.
What you get that most analytics agencies skip.
Picking an analytics partner is less about polished decks and more about whether the team ships verified events, honest documentation and dashboards that reconcile against the books — release after release.
GA4 + GTM certified team — every implementation peer-reviewed before launch.
Server-side fluent — sGTM on Cloud Run, Meta CAPI and Google Ads enhanced conversions live.
Debug-first discipline — nothing ships without DebugView, Preview and Tag Assistant green.
Consent-aware — Consent Mode v2 wired to your CMP from day one, DPDP and GDPR ready.
Documented measurement plans — every event, parameter and conversion in a spec your team owns.
BigQuery-native — raw event export, scheduled SQL, warehouse-grade reporting from day one.
Reconciliation against backend orders — variance under 2% is the standard, not the goal.
Attribution beyond last-click — data-driven models and custom channel groupings configured properly.
Questions teams ask before they sign.
Ready to track the truth, not the noise?
Book a free 30-minute consult — we'll audit your current GA4, GTM and conversion stack and send a prioritised remediation plan within 48 hours.