Know which channels actually drive revenue.
Most businesses can tell you their total marketing spend, but not which specific channels and campaigns are actually driving revenue. We build attribution models that connect marketing activity to real business outcomes, so budget decisions are based on evidence instead of instinct.
What this fixes
The patterns we see most often before this work starts.
Budget allocated by instinct, not evidence
Without clear attribution, spend gets distributed based on habit or gut feel rather than what's actually producing revenue.
Credit given to the wrong channel
Last-click reporting often over-credits bottom-funnel channels while ignoring the awareness and consideration touchpoints that made the sale possible.
Long sales cycles that break simple tracking
Multi-touch, multi-month buying journeys are difficult to attribute accurately without a deliberate model built for that reality.
Disconnected marketing and sales data
Marketing sees leads; sales sees deals. Without connecting the two, you can't tell which campaigns actually influenced closed revenue.
How we approach it
Data Foundation Review
We assess whether your current tracking and CRM data are sufficient to support meaningful attribution.
Model Selection
We choose an attribution approach — multi-touch, first/last-touch, or a blended model — appropriate to your sales cycle and data maturity.
Integration & Setup
We connect marketing platforms, website tracking, and CRM data so touchpoints can be linked to outcomes.
Reporting Build
We build attribution reporting that shows channel and campaign contribution to actual revenue, not just leads.
Ongoing Refinement
We revisit and refine the model as your channel mix, sales cycle, or data quality evolves.
What's in scope
What good looks like
Visibility into which channels genuinely influence revenue, not just last-click conversions.
Spend allocation grounded in evidence about what's actually driving outcomes.
A shared view of how marketing activity connects to closed revenue.
The process
Assess
We review data readiness across marketing and sales systems.
Model
We select and design an appropriate attribution approach.
Integrate
We connect the platforms and data needed to support it.
Report & Refine
We deliver ongoing attribution reporting and adjust as needed.
Proof > promises
Client results for this service are being documented and will be published here. We publish outcomes only once they are verified — no invented numbers, no borrowed screenshots.
See the results frameworkQuestions, answered
What attribution model is best for our business?
It depends on your sales cycle length and data maturity. Short-cycle, single-touch purchases can work with simpler models; longer B2B cycles usually need a multi-touch approach — we'll recommend based on your specifics.
Do we need a CRM for this to work?
Some form of structured lead and deal tracking is essential for connecting marketing activity to revenue outcomes; it doesn't have to be an elaborate system, but it does need to be consistent.
How is this different from standard analytics tracking?
Analytics tracking captures individual events and sessions; attribution goes further, connecting multiple touchpoints across a longer journey to a single revenue outcome.
Can attribution be perfectly accurate?
No model is perfectly accurate, and we won't claim otherwise — privacy restrictions and cross-device behavior limit precision. The goal is a meaningfully more accurate picture than last-click reporting, not perfection.
How long does it take to see useful attribution data?
It depends on your sales cycle and traffic volume, but most businesses need a few months of data flowing through the new model before patterns become reliable.
Related services
Ready to see what's really holding your marketing back?
Start with the foundation.