Service
Analytics & Insights
Stop guessing. Make every marketing decision on real data.
Overview
Most marketing teams drown in dashboards and still can't answer the basic question: which dollar is working? We fix the plumbing — clean events, defensible attribution, dashboards leadership actually opens.
Then we layer in segmentation and predictive models so the team can stop debating and start deciding.
The problem we solve
Why teams come to us for analytics & insights
Every meeting opens with a different number. Sales says the source is paid, finance says it's organic, the agency dashboard says it's both. Nobody trusts the data enough to make a real budget decision on it.
Underneath there's usually a tracking layer held together by tags from three jobs ago, an attribution model nobody can defend, and a dashboard culture that rewards activity over decisions.
What changes
What ThickLabel changes
- Tracking and event taxonomy you actually trust — server-side where it counts.
- Attribution that survives a finance review: methodology documented, assumptions stated, edge cases handled.
- Dashboards designed backwards from decisions, not built once and abandoned.
- Segmentation and predictive models that flow into ad platforms and lifecycle tools — so insight becomes action.
What we cover
Inside analytics & insights
Every engagement is built from these capabilities — used together or à la carte depending on where you need lift.
Custom Dashboard Development
Executive and channel dashboards built from clean source data, not stitched-together exports.
Learn more →Attribution Modeling
Multi-touch, marketing-mix, or incrementality-based attribution depending on your scale.
Learn more →Customer Segmentation
Behavioral, value-based, and predictive segmentation surfaced to ad platforms and lifecycle tools.
Learn more →Predictive Analytics
Models for churn, LTV, and conversion propensity that feed real marketing decisions.
Learn more →ROI Measurement
Channel- and campaign-level ROI tied back to pipeline and revenue, with assumptions documented.
Learn more →Deliverables
What you walk away with
- Tracking and event taxonomy audit
- GA4, server-side, and CDP implementation
- Multi-touch or marketing-mix attribution model
- Executive and channel dashboards
- Quarterly insights reports with recommendations
Ideal for
Who this is built for
- Teams whose attribution broke after iOS 14 / cookie deprecation
- Companies running multi-channel spend without unified reporting
- Marketing leaders preparing for board or investor reviews
Process
How the engagement runs
- 01
Audit
Tag review, event taxonomy, attribution methodology, and stakeholder interviews to surface the decisions analytics needs to support.
- 02
Rebuild
Tracking implementation (GA4, server-side, CDP), attribution model, and core dashboard architecture.
- 03
Activate
Segmentation, predictive models, and integrations into ad platforms, lifecycle tools, and CRM.
- 04
Operate
Quarterly insights reviews, recalibration, and ongoing enablement for your in-house team.
FAQ
Common questions
Which analytics tools do you work with?
GA4, Mixpanel, Amplitude, Segment, Snowflake, BigQuery, Looker, Hightouch, and most major attribution platforms.
Can you build an in-house data team's roadmap?
Yes. We frequently work alongside analytics engineers to define the marketing-side schema, governance, and reporting layer.
Want a clear read on your marketing data?
Tell us where the numbers stop being trustworthy. We'll come back with a scoped engagement to fix the part that matters most first.
Start an analytics conversation