Every ad platform claims the conversions it can see, and the sum of those claims is usually larger than the revenue in the ledger. Marketing Attribution & Revenue Intelligence replaces platform-reported credit with a model built on your own data, joining touchpoints to opportunities and revenue so you can see what each channel, campaign and content piece contributed.
Where it helps
- Channel budgets defended with platform metrics that finance does not recognize
- Long B2B sales cycles where the first touch and the closing touch are months apart
- Offline and partner activity that never appears in digital attribution
- Pressure to show the return on marketing spend in terms the board uses
What we deliver
- Touchpoint model. Web, ad, email, event, sales and partner interactions joined to accounts and opportunities in your CRM.
- Attribution methods. Rules-based, data-driven and incrementality-based views side by side, so the choice of method is explicit and its effect visible.
- Revenue intelligence. Pipeline, win rate, deal size and revenue by source, campaign and segment, with time lags accounted for.
- Spend and return reporting. Cost and return by channel in finance-approved terms, delivered in your reporting tools.
How an engagement runs
- Assess. We map the customer journey as your systems record it, and agree the revenue definitions with sales and finance.
- Build. We assemble the touchpoint data, fit the attribution models and compare them against past campaigns and known outcomes.
- Integrate. Attribution and revenue views are published to your dashboards and feed the scenario models used for planning.
- Run. We refresh the models as journeys change, add new channels and report on how attribution has shifted.
What changes for your team
- Marketing and finance discuss the same revenue figures
- Channel decisions rest on contribution to pipeline, not on platform-reported clicks
- Underperforming spend becomes visible early enough to move it
