Your numbers never match.
GA4, Shopify, Stripe, HubSpot and Ads all tell different stories. Nobody is sure which one to trust.
Track Pillar · Data Foundation
If your tracking is wrong, every decision is a bet.
Track is Analytico's data foundation practice. We engineer GA4, GTM, and server-side tracking so your numbers line up with reality—not guesses, not stitched-together spreadsheets.
- Clean, validated GA4 + Ads conversions and revenue.
- Server-side and client-side tagging designed as critical infrastructure.
- Event schemas, UTMs, and KPIs you can actually govern.
Built for teams that can't afford fuzzy numbers: growth, performance, product, and finance.
Before vs After · Revenue Signal
Before
- GA4 ≠ Shopify/Stripe numbers.
- Meta ROAS looks "bad", Ads looks "great".
- UTMs and events named differently per team.
After
- Purchase revenue aligned across GA4, Ads and backend.
- Server-side events powering cleaner attribution.
- One shared schema, one shared source of truth.
Accuracy
Revenue and conversions validated against your backend.
Resilience
Built to withstand browser changes, consent, and redesigns.
Clarity
Every event has an owner, definition, and purpose.
The Cost of Weak Tracking
You're already paying for broken tracking—it just doesn't show up on an invoice.
When your events, revenue, and conversions don't line up, every decision slows down. Teams argue, channels get mis-credited, and "safety" spend replaces smart bets.
Channel performance is a political debate.
Meta says one thing, Google Ads says another, finance says neither. Budget decisions become guesswork.
Every website change risks breaking tracking.
New pages, flows, or redesigns quietly ship without measurement updates—until someone notices the cliff.
Compliance and consent are breaking your tags.
CMPs, Consent Mode, and regional rules silently block critical events, and no one is monitoring the impact.
What Track Delivers
A measurement foundation the whole company can stand on.
Track isn't "just GTM work." It's the engineering of your entire measurement layer—so Analysis and Optimization have something reliable to build on.
Accuracy
Purchase and conversion data that aligns across GA4, Ads platforms, and your backend—within an agreed tolerance.
Completeness
Every key step in your funnel, from landing to renewal, is measured in the right place with the right context.
Resilience
Tracking that survives browser changes, consent shifts, site redesigns, and new product launches.
Governance
A shared event schema, UTM framework, and documentation your teams can actually follow.
Track Services
Services inside the Track pillar.
Whether your tracking is half-working or barely hanging on, we meet you where you are: rescue, rebuild, or design for where your growth is going—not where it was.
GA4 Engineering & Fixes
From messy migrations to clean, business-ready analytics properties.
- Full GA4 rebuilds and property architecture.
- Event schema and conversion design mapped to your customer journey.
- Cross-domain, subdomain, and app tracking for complex funnels.
- Purchase + revenue alignment against backend and platforms.
Client-Side Tag Management
Structured, documented tagging designed like a product, not a side-task.
- GTM container architecture: tags, triggers, variables, and folders.
- E-commerce events, forms, and lead capture instrumentation.
- Performance-conscious triggers and load rules.
- Safe custom HTML tags with guardrails and governance.
Server-Side Tagging (sGTM)
Accuracy and resilience for Ads platforms when browsers and privacy keep changing.
- Server container setup and routing for GA4, Google Ads, and Meta CAPI.
- Conversion Accuracy Engineering for key events like purchase and lead.
- Event enrichment with consent-aware identifiers and metadata.
- Monitoring for dropped signals and event discrepancies.
E-Commerce Tracking Foundations
Shopify, WooCommerce, Magento, headless storefronts—without hacks.
- Product, cart, checkout, and purchase events across web + app.
- Subscription flows, upsells, and post-purchase events.
- Multi-region and multi-store tracking alignment.
- Refund and cancel logic wired into revenue reporting.
CRM + Analytics Integration
Close the gap between marketing touchpoints, sales stages, and revenue.
- HubSpot ↔ GA4 lifecycle tracking (MQL, SQL, opportunity, won).
- Salesforce or other CRM events mirrored into analytics.
- Lead qualification logic reflected in event design.
- End-to-end path: first touch → opportunity → revenue.
Consent Mode & Privacy-Aware Setup
Measure responsibly without flying blind in key markets and devices.
- Consent Mode v2 configuration and testing.
- CMP integration with GTM and sGTM.
- Region-based measurement logic (EU/US/CA/etc.).
- Documentation for legal, compliance, and internal teams.
Taxonomy, UTMs & Governance
Shared language for how events, campaigns, and KPIs are defined and tracked.
- Global event naming conventions and categories.
- UTM and campaign naming frameworks for paid and lifecycle.
- KPI definitions agreed across marketing, product, and finance.
- Version-controlled documentation and change logs.
Diagnostics & Tracking QA
A safety net for your measurement layer as the business evolves.
- Baseline instrumentation audit and risk map.
- Test plans for key flows and launches.
- Ongoing QA or handoff playbook for internal teams.
- Alerting patterns for major event failures.
Track → Analyze → Optimize
Track is the foundation. Analyze and Optimize are what it enables.
We don't stop at fixed tracking. Track is built to power deep analytics and confident optimization—so your attribution models, experiments, and growth decisions run on solid ground.
Track
Engineer the data foundation.
Events, conversions, and revenue are captured cleanly and consistently across tools.
Analyze
Turn data into decisive insight.
Modeling, reporting, and attribution frameworks built on the measurement layer Track provides.
Optimize
Invest where it truly moves the needle.
Experiments, campaigns, and product changes prioritized and evaluated with confidence.
Selected Track Engagements
Where we've rebuilt tracking from the ground up.
Names can be anonymized, but the problems are real: mismatched numbers, broken funnels, and teams that don't trust their dashboards. Track is how we fix that.
E-commerce · Shopify + GA4 + sGTM
Problem: GA4 revenue was under-reporting by ~30% vs Shopify and Google Ads conversions constantly disagreed.
What we did: Rebuilt GA4 measurement, moved key events to server-side, and aligned purchase logic with backend and Ads.
Impact: Revenue match within 1–2%, paid channel decisions made on one shared set of numbers.
SaaS · PLG funnel tracking
Problem: Signup, activation, and upgrade events were defined differently across teams and tools.
What we did: Standardized event schema, instrumented product analytics, and wired lifecycle events into GA4.
Impact: Clear funnel from marketing touch to in-product activation; experiments could target specific drop-offs.
Healthcare · Multi-domain lead flows
Problem: Leads moved across 3+ domains and systems; attribution broke at each redirect and form handoff.
What we did: Implemented cross-domain tracking, structured tagging, and CRM-integrated events.
Impact: Leadership saw end-to-end lead flow and true channel contribution—without manual stitching.