Clear, owned outputs.
- A measurement plan
- Tracking implementation and QA
- UTM and naming conventions
- Dashboards for leadership and channel owners
- Monthly insight reports
Marketing analytics answers the questions leadership actually asks: what is working, what isn't, and where should the next pound or dollar go? We set up tracking you can trust, define the measures that matter, build dashboards people use and turn the data into clear recommendations.
The problems Marketing Analytics solves.
Tracking, GA4, attribution and dashboards that turn marketing data into decisions.
Analytics was migrated to GA4 but key conversions are missing.
Platforms report conflicting numbers for the same campaign.
Dashboards exist but nobody uses them to make decisions.
Offline sales can't be connected to the marketing that produced them.
What Marketing Analytics covers.
Tracking implementation
GA4, Google Tag Manager, server-side tagging and consent mode.
Conversion definitions
Clear, agreed definitions of every conversion and its value.
Campaign tagging
Consistent UTM and naming conventions across all channels.
Attribution
Sensible attribution views and their limits explained plainly.
Dashboards
Reporting built around decisions, for each audience.
Analysis and insight
Regular analysis with clear recommendations.
What a measurement audit covers.
Marketing decisions are only as good as the data behind them. We check the foundations before building dashboards.
| What we check | Why it matters |
|---|---|
| Tracking plan | A documented list of events and conversions, with names that mean the same thing in every tool. |
| GA4 and tag management | Correct configuration in Google Analytics 4 and Tag Manager, including consent mode. |
| CRM connection | Leads and revenue linked back to the campaigns that generated them. |
| Attribution | How credit is assigned across channels, and the limits of each model. |
| Reporting | Dashboards built around decisions, with definitions written down. |
Why it's worth it.
Trustworthy data
Everyone works from the same, verified numbers.
Clear priorities
Analysis points to where budget and effort should go.
Less time reporting
Automated dashboards replace manual spreadsheets.
When Marketing Analytics is the right move.
- A business that recently moved to GA4 and lost confidence in its data.
- A leadership team that wants one view of marketing performance.
- A company connecting CRM sales to marketing sources.
Technologies & platforms
- Google Analytics 4
- Google Tag Manager
- Looker Studio
- BigQuery
- Power BI
- Segment
- HubSpot
How Marketing Analytics work runs.
- 01
Assess
Current tools, data, journeys and reporting reviewed against your goals.
- 02
Design
Journeys, data model, scoring or measurement plan agreed in writing.
- 03
Build
Configuration, integrations, templates and tracking set up and tested.
- 04
Launch
Go-live with monitoring and quick fixes in the first weeks.
- 05
Optimize
Ongoing tests, data quality checks and regular reviews.
Marketing Analytics questions.
Which attribution model is right?
No model is perfectly right. We usually combine platform data, analytics attribution and simple tests, and explain what each view can and can't tell you.
Do you handle cookie consent?
We implement tracking that respects consent choices, including Google consent mode, working with your consent platform and legal advice.
Can marketing data be combined with sales data?
Yes, through CRM integration or a data warehouse, so you can see revenue by source and campaign.
Talk to us about marketing analytics.
Send us your current marketing analytics plan, or the problem you want it to fix. We'll reply with what we would do first and why.