You’ve outgrown “install GA4 and hope for the best.”
Your spend, headcount, and board pressure have all scaled—but analytics still feels like a patchwork of migrations, one-off fixes, and hero dashboards built by one person.
Track Pillar · Digital Analytics Agency
Digital analytics that keeps up with your paid media and product bets.
We act as your digital analytics agency across three pillars: consulting & strategy, deep-dive audits & setup, and decision-ready reporting. Built for teams where ad spend, experimentation, and board expectations are all moving fast.
- Translate growth, product, and finance questions into a clear measurement strategy.
- Fix and extend your tracking stack: GA4, GTM, server-side tagging, CRM events, and data pipelines.
- Build reporting that actually answers “what do we change next?”, not just “what happened?”.
Especially strong fit for teams spending meaningfully on Google, Meta, and programmatic—and where analytics is expected to justify every budget move.
At a glance · Where we plug into your stack
Consult & design
- Measurement strategy & KPI design
- Channel & funnel mapping
- Analytics roadmap for 6–12 months
Audit & setup
- GA4, GTM & sGTM engineering
- CRM & backend event pipelines
- Consent, CAPI, offline conversions
Reporting & support
- Looker Studio / Power BI dashboards
- Paid media & product scorecards
- Analytics partner on key decisions
For paid media
ROAS, CAC, and incrementality grounded in clean signals.
For product
Activation and retention measured against real usage.
For finance
Reconciliation and tolerance bands defined up front.
Where teams usually call us in
Analytics is “installed”, but not really supporting the way you make decisions.
By the time we're looped in, tools are already in place. What's missing is the architecture, governance, and ongoing support to make them work as a system—not a pile of logins.
Paid media decisions rely on numbers nobody fully trusts.
ROAS, CAC, and funnel metrics shift depending on whether you look at GA4, platforms, or finance. Budget meetings devolve into reconciling numbers instead of making decisions.
Engineering time is scarce, but analytics problems are technical.
You need DOM scraping, data layers, server-side events, and warehouse pipelines—but dev teams are focused on product, not analytics plumbing.
Reporting is busy, not decisive.
You have more dashboards than decisions. No one is confident where to cut spend, what to scale, or which tests to run next based on the data you already have.
Three Pillars of Digital Analytics Support
Consulting, implementation, and reporting—under one analytics team.
We don't just run audits or spin up dashboards. The value comes from connecting strategy, implementation, and reporting into one coherent system that serves growth, product, and finance at the same time.
Consulting & Strategy
Translate your revenue goals, growth bets, and product roadmap into a practical measurement strategy and architecture your teams can execute against.
- Define KPIs and success metrics for paid, lifecycle, and product.
- Map customer journeys across web, app, CRM, and offline touchpoints.
- Design measurement plans aligned with budget and roadmap constraints.
Audit & Implementation
Go beyond a GA4 health check. We dive into events, tags, CAPI, server-side tagging, and data pipelines to fix what’s broken and extend what’s working.
- GA4, GTM, and server-side tagging audits and rebuilds.
- CRM and backend event pipelines for full-funnel visibility.
- Consent Mode, CMPs, and privacy-aware tracking patterns.
Reporting & Decision Support
Build dashboards, scorecards, and analytics rituals that answer ‘what should we do next?’ instead of just ‘what happened?’.
- Looker Studio, Power BI, and GA4 Explorations aligned to decisions.
- Paid media and funnel scorecards used in recurring rituals.
- Ongoing analytics partner in key budget and roadmap conversations.
Where We Actually Get Hands-On
Strategy alone isn't enough—we wire the stack and the reports.
We're comfortable at the whiteboard, but most clients keep us because we also live comfortably in GTM, BigQuery, GA4, and your ad platforms. Strategy, then implementation, then reporting—no handoffs to a random third party.
Measurement architecture & planning
- End-to-end measurement plans for paid, product, and lifecycle.
- Event schemas, conversion definitions, and funnel instrumentation.
- Cross-platform KPI alignment (GA4, platforms, finance, CRM).
GA4, GTM & server-side tagging
- Property architecture, event design, and conversion setup.
- Client-side GTM and server-side tagging (sGTM, CAPI, offline).
- Diagnostics and fixes for dropped events and noisy data.
Paid media measurement & attribution
- Channel & campaign structure aligned with analytics reality.
- Attribution models and incrementality approaches that match your context.
- Conversion, audience, and offline signal strategies for bidding.
CRM & product analytics integration
- Lifecycle event tracking from lead → opportunity → revenue.
- PLG and activation funnels modeled back into GA4 and warehouses.
- HubSpot, Salesforce, and product event alignment.
Data engineering & warehousing
- GA4 BigQuery exports, transforms, and semantic layers.
- Stitching ad, web, product, and CRM data into analytics-ready models.
- Foundations for AI/ML scoring and automated insight layers.
Reporting & stakeholder views
- Looker Studio & Power BI dashboards layered for ICs, managers, and execs.
- Channel and cohort views for media, product, and revenue teams.
- KPI scorecards with clear targets, thresholds, and accountability.
Governance & enablement
- Taxonomy, UTMs, and naming standards teams can actually follow.
- Documentation, runbooks, and change management for analytics changes.
- Training and office hours for marketing, product, and leadership.
Diagnostics & audits
- 10-day analytics diagnostics focused on paid media pain points.
- Periodic audits for GA4, GTM, sGTM, and reporting stacks.
- Pre/post re-platform, redesign, and market expansion reviews.
How We Work Together
Start with a diagnostic, then choose the mix of project and fractional support.
Most clients start with a time-boxed diagnostic, then roll into implementation projects and/or an ongoing fractional analytics team once we're aligned on priorities.
10-day analytics diagnostic
A focused sprint to assess your current stack, quantify variance between GA4, platforms, and backend, and hand you a prioritized roadmap. Ideal when leadership is questioning the numbers.
Best for
New to Analytico, or need a fast, objective view of what’s broken before committing to a longer engagement.
Project-based setup & rebuilds
Scoped GA4/GTM rebuilds, server-side tagging, CRM integration, and reporting projects. We own the architecture and implementation, working closely with your dev and media teams.
Best for
You know what needs to change, but don’t have the specialist bandwidth to do it right, end-to-end.
Fractional analytics team
Ongoing analytics partner across Track, Analyze, and Optimize. We support product, media, and leadership with instrumentation, analysis, and decision support.
Best for
You want senior analytics capability without trying to hire a full in-house team in a tight market.
Who This Is For
Teams that treat analytics as a revenue function, not a reporting checkbox.
- You’re spending mid-to-high five figures (or more) per month on paid media, and leadership expects analytics to justify every dollar.
- You’ve already migrated to GA4, but implementations feel fragile and nobody fully trusts cross-tool numbers.
- You have strong marketing and product teams, but no dedicated analytics engineering function to support them.
- You want a partner who can talk comfortably to engineers, media buyers, and finance in the same meeting.
Quick sanity check
If shutting off GA4, GTM, and your reporting stack for a week would meaningfully impact how you spend money, ship product, or talk to your board—you're the kind of team we built Analytico for.