Stop guessing what's working.
GA4, server-side tagging, and executive dashboards that connect every dollar to a downstream business outcome.
What this is, in plain English.
Marketing analytics is the difference between a leadership team that allocates budget with confidence and one that argues about it every quarter. Without clean attribution and a shared source of truth, every channel team makes their own case with their own numbers — and the CFO is left choosing between conflicting narratives.
Our analytics practice is built for companies that spend meaningful money across multiple channels and need an unambiguous answer to a single question: what is actually working? That means GA4 implemented correctly, server-side tagging where it matters, BigQuery as the warehouse, multi-touch attribution that respects the real customer journey, and dashboards a non-analyst can read.
We don't sell measurement as a one-time setup. The platforms change, your campaigns change, and the questions leadership asks change every quarter. The engagements that produce the highest ROI are the ones where we sit alongside your marketing and finance teams continuously — building the dashboards, running the deeper investigations, and making sure every dollar of paid media and content investment is being held to the same standard.
Methodology
How we actually do the work.
No black boxes. The pillars below are how every analytics engagement is built — repeatable, transparent, and built to outlast the retainer.
Measurement strategy before tools
We start by documenting which business questions the analytics stack has to answer — for the CMO, the CFO, the channel leads, and the board. Tools and dashboards are then chosen to serve those questions, not the other way around. This is the step almost every organization skips.
GA4, GTM, and server-side tagging done right
Enhanced measurement, custom events with consistent naming conventions, conversion definitions tied to revenue actions, server-side container deployment, and consent-mode wiring. The data foundation is built once, correctly, instead of being patched repeatedly.
BigQuery as the source of truth
GA4 raw export, ad-platform spend, CRM revenue, and call-tracking data are unified in BigQuery. Looker Studio reports off the warehouse, so dashboards aren't limited by GA4's sampling, thresholding, or interface quirks.
Multi-touch attribution that respects reality
Data-driven attribution against your CRM-confirmed revenue — not last-click, not first-click, not Google's default in any single platform. We surface where channels assist, where they convert, and which combinations actually drive incremental pipeline.
What to expect
Your first 90 days.
A realistic walkthrough of how the engagement unfolds — so there are no surprises after kickoff.
- 01Weeks 1–2
Audit and measurement plan
Full tracking audit across GA4, GTM, ad platforms, and CRM. Gaps documented, measurement plan written, KPI tree agreed with stakeholders. You leave week two knowing exactly what's broken and what the fixed state looks like.
- 02Weeks 3–6
Implementation and data foundation
GA4 reconfigured or migrated, GTM rebuilt with clean event naming, server-side tagging deployed where warranted, BigQuery export turned on, and core dashboards delivered for executive and operational use.
- 03Months 2–3
Attribution and decisioning
Multi-touch attribution modeling live, monthly insight reports replacing raw data dumps, and the first round of budget-reallocation recommendations grounded in actual incremental revenue.
- 04Ongoing
Insight retainer
Monthly executive readouts, quarterly deep dives, and ad-hoc analysis as campaigns launch and questions surface. Analytics stops being a project and becomes a function of the marketing operating system.
The edge
Why Traffick Media is different.
Plenty of agencies will sell you analytics. Here's where our approach diverges from the standard playbook.
We do the analysis, not just the dashboards
Plenty of agencies will hand you a Looker Studio file and disappear. We deliver the monthly written insight that turns the data into a decision — what changed, why it changed, and what to do next.
Warehouse-first architecture
BigQuery as the canonical layer means your data outlives any single tool. If you switch CRMs or platforms later, the warehouse and dashboards keep working — the migration cost is contained.
Built to brief the C-suite
Reports are designed for the conversation in the boardroom, not the conversation between analysts. Every dashboard ladders up to revenue, pipeline, or CAC — the metrics leadership actually defends quarter to quarter.
Who this is for.
- Companies spending $10K+/month on marketing with unclear ROI
- Organizations migrating to or struggling with GA4
- Teams making decisions based on gut feel rather than data
- Businesses needing executive-ready reporting for stakeholders
Who this isn't for.
- Businesses with very little traffic (under 1,000 sessions/month)
- Companies not ready to act on the insights we surface
- Anyone looking for vanity metric dashboards
03 / Deliverables
What you actually get.
GA4 audit and configuration (or migration from UA)
Google Tag Manager setup with event tracking
Custom Looker Studio dashboards
Conversion funnel mapping and tracking
Multi-touch attribution modeling
Monthly insight reports with strategic recommendations
Quarterly deep-dive analysis presentations
How We Work
Our Process
Audit
Review your current tracking implementation, identify data gaps, and assess measurement maturity.
Configure
Implement proper tracking, build custom dashboards, and define KPI frameworks aligned with business goals.
Analyze
Deep-dive analysis to surface actionable insights, hidden opportunities, and budget optimization recommendations.
Report
Clear, executive-ready reports delivered monthly with quarterly strategic reviews and ad-hoc analysis on demand.
05 / Measurement
Reporting & KPIs.
You'll always know exactly where things stand. Here's what we track and how often you'll see it.
SIGNAL"For the first time we can see where every marketing dollar goes and what it returns. They turned data chaos into a single source of truth."
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