Revenue Source Is Unclear
You cannot see exactly which campaigns, channels, or customer segments generate profitable revenue, so budget decisions stay fuzzy.
SCALE > Analytics & Revenue Intelligence
If you cannot measure it, 
you cannot grow it.
We implement revenue-focused analytics across GA4, conversion tracking, attribution modeling, and cohort analysis so you can finally see which campaigns, channels, and segments are actually profitable.
- + GA4 and event tracking architecture
- + Revenue attribution across channels and touchpoints
- + Cohort analysis by source, date, and segment
- + Dashboard design for revenue, CAC, LTV, and conversion
- + CRM and payment-system integrations
- + Monthly insights and optimization recommendations
GA4 + revenue trackingSingle source of truthData-driven growth decisions
Pain / Problem
When tracking is fragmented, teams keep arguing about channel performance because nobody trusts the data enough to act decisively.
Attribution Breaks Between Tools
Website analytics, CRM data, and payment systems live separately, so funnel reporting never tells a complete commercial story.
Dashboards Do Not Drive Decisions
Reports exist, but they do not connect directly to CAC, LTV, payback, or revenue quality, so optimization still runs on opinion.
What We Build
Revenue intelligence that shows what is profitable, what is leaking, and what should be optimized next.
We connect tracking, attribution, dashboards, and cohort logic so growth decisions reflect actual business performance instead of disconnected snapshots from different tools.
- GA4 and event tracking for revenue events, funnels, and custom dimensions
- Revenue attribution models across first-touch, last-touch, and multi-touch views
- Cohort analysis by acquisition date, source, and segment
- Dashboard architecture for CAC, LTV, conversion, and revenue metrics
- Data integration across GA4, CRM, and payment systems
- Monthly insights and optimization recommendations
Built for trusted measurement
The goal is not more dashboards. It is a reporting system leadership can trust when deciding where growth budget goes next.
How it works
A revenue analytics process built to turn disconnected data into a dependable operating layer.
01
Map data sources
and gaps
02
Implement tracking
and events
03
Connect attribution
and dashboards
04
Read insights
and optimize
We begin with data mapping, then implement event tracking, connect systems, validate attribution logic, and shape reporting around commercial decisions your team actually needs to make.
Results / Social Proof
Built to replace reporting ambiguity with a clean measurement system your team can actually use.
Single source of truth across website analytics, CRM movement, and revenue events when the stack is connected properly.
Attribution visibility across the touchpoints that influenced conversion, not just the last click that happened to close the deal.
Revenue and retention analysis by acquisition date, channel, and segment so performance is evaluated over time, not just per campaign.
"NICK brought structure and clarity to our digital presence. Complex topics were broken down into clear, manageable steps. The result feels solid, scalable, and aligned with our business goals."
Vitali SoloCMO, Blago
"We appreciated the focus on priorities. The team delivered thoughtful solutions with real attention to detail."
Georgios KaroullasCEO, EverFX & Inflyx
Pricing / Engagement Model
Analytics work can begin with implementation or continue as a monthly decision-support layer for growth and revenue teams.
Some teams need the tracking foundation first. Others already have data coming in but need cleaner reporting, attribution, and interpretation to guide monthly optimization.
GA4 + tracking implementation
from EUR 2,500
Best for teams that need event architecture, funnel tracking, attribution logic, and a stronger measurement foundation.
- GA4 setup and validation
- Event and conversion tracking
- Attribution model design
- Initial dashboard structure
Reporting + optimization
from EUR 1,500 / month
Best for teams that want recurring insight, interpretation, dashboard refinement, and monthly recommendations tied to revenue performance.
- Dashboard refinement
- Monthly insight reviews
- Attribution and data QA
- Optimization recommendations
FAQ
The questions teams ask before trusting a new measurement system.
Yes. We can audit what already exists, keep what is reliable, and rebuild only the parts that are blocking accurate measurement or reporting.
Not always as the only tool, but GA4 is often still valuable as a core event and website analytics layer. We design around the stack you actually use.
Implementation can happen quickly, but useful trend interpretation improves as clean data accumulates over the following weeks and months.
Yes. That is usually where revenue intelligence becomes far more useful, because it ties acquisition behavior to real commercial outcomes.
Then fixing the baseline becomes the first priority. We do not make optimization promises on top of measurement that nobody can trust.
