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Revenue Attribution

Understand the Credit Behind Revenue

Connect recorded interactions with associated deals and revenue, comparing attribution models to understand how assigned credit changes while keeping measurement gaps and causal limitations explicit.

Make revenue reporting assumptions easier to inspect and discuss.

Connected Outcomes

Align recorded marketing interactions with supported contact and deal associations so revenue reporting has a traceable data foundation.

Agree which outcome the report represents: a newly created contact, a deal or won revenue. Check the required contact and deal associations, dates and recorded interactions before comparing channels. A report built on incomplete relationships can leave relevant activity outside the measured path even when the underlying customer experience was connected.

Model Comparison

Compare supported attribution models to understand how different credit rules change the reported contribution of recorded touchpoints.

Compare models using the same conversion scope and reporting period so the effect of the credit rule remains clear. First touch, last touch and shared-credit approaches answer different questions about a recorded path. A change in attributed contribution may reflect a different model rather than a change in customer behavior or channel performance.

Measurement Context

Document tracking coverage, conversion definitions, and missing interactions before using attributed revenue to inform future marketing investment decisions.

Explain what tracking captures, which interactions are absent and how reporting dates or conversion definitions affect the result. Use attributed revenue to frame questions for planning, not as proof of incremental impact. Where feasible, pair the report with controlled experiments and document uncertainty before using it to justify a change in marketing investment.

Revenue attribution connects tracked interactions with an associated business outcome under a chosen model. It is useful for explaining recorded paths and comparing credit rules, while controlled experiments address the different question of what marketing caused to happen.