triangl.ai · Marketing revenue attribution
Know which marketing creates revenue.
Connect campaigns and customer activity to qualified pipeline, collected revenue, margin, retention, and lifetime value—without relying on blended channel averages.
Book a strategy call
Activity is not the commercial result.
Ad platforms can report clicks and conversions accurately while the CRM, commerce platform, and payment system tell a different commercial story. Each system measures the part of the journey it can see. None of them alone can show whether the campaign created qualified pipeline, an order with margin, or cash that actually landed.
That gap is where budget decisions drift toward blended return on ad spend, last-click credit, or whichever export reached the meeting first. Marketing revenue attribution joins the records around the customer and the outcome so the team can judge the move, not reconcile another dashboard.
One journey, measured through the outcome.
triangl.ai starts with the decision the team needs to make. The relevant campaign, behavior, lifecycle, pipeline, order, and payment records are then connected around that question. The result is a sourced view of which work created demand and how far that demand travelled toward revenue.
The answer can resolve against qualified meetings, expected pipeline, collected revenue, contribution margin, retention, or lifetime value. The available source records determine which conclusion is defensible. When a join or identifier is missing, the gap is named rather than hidden behind a precise-looking attribution model.
Decisions this connection supports
- Allocate the next dollar: Compare marginal return across campaigns and channels instead of rewarding the best blended average.
- Scale the right creative: Connect concept, audience, offer, spend, and downstream revenue before fatigue changes the result.
- Defend the budget: Carry the recommendation, reasoning, risk, and source trail into the operating or board meeting.
What the data must support
Attribution cannot recover evidence that was never captured. If campaign identifiers disappear before the CRM or payment record, triangl.ai can show the break and the evidence that remains, but it will not invent a customer path.
What is marketing revenue attribution?
Marketing revenue attribution connects campaign and customer activity to a commercial outcome such as qualified pipeline, collected revenue, margin, retention, or lifetime value.
How is this different from multi-touch attribution?
Multi-touch attribution distributes credit through a chosen model. triangl.ai begins with the business decision and joins the source records needed to defend that decision, naming data gaps when the journey cannot be resolved.
Does triangl.ai replace analytics or CRM software?
No. It reads the systems already holding campaign, behavior, customer, and revenue evidence, then resolves those records into a recommendation.