Marketing revenue attribution
Reconcile analytics, CRM, and billing sources, compare explicit attribution models, and approve channel decisions without hiding unknown traffic.
Saves you ~5 h / week
What it installs
Agents 3
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Attribution Analyst
Reconciles journey and revenue sources and calculates explicit attribution models.
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Attribution Reviewer
Independently reproduces source totals, joins, model math, unknown shares, and decision limits.
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Marketing revenue attribution Quality Reviewer
Checks primary evidence, domain controls, deliverable completeness, and communication quality, stopping the run when the work is wrong, unsupported, incomplete, or uncertain.
Teams 1
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Revenue Attribution Team
An analyst reconciles sources and models while a reviewer independently reproduces totals and decisions.
Workflows 1
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Marketing revenue attribution review
Load complete source populations, reconcile identities and revenue, compare attribution models, independently reproduce the report, and approve bounded decisions.
Documents 2
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Marketing attribution definitions
The approved event, identity, channel, lookback, currency, model, and unknown-traffic rules used every reporting period.
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Marketing revenue attribution ledger
Period-by-period source reconciliation, model outputs, unknown shares, caveats, and human-approved decisions.
Goals 1
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Revenue attribution reconciles before it recommends
Keep channel revenue views reproducible, comparable across models, and honest about unknown evidence.
Skills 1
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marketing-revenue-attribution
Reconciles analytics, CRM, and billing sources, applies explicit rule-based attribution models, quantifies unknown traffic, and prepares bounded decisions.
Schedules 1
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Review marketing revenue attribution
Close the configured reporting period only after analytics, CRM, and billing maturity windows have passed. Run the Marketing revenue attribution review with the Attribution Analyst assigned. Use the approved definitions version, complete source populations, deterministic identity rules, explicit Unknown and Unattributed categories, and the same eligible revenue population across first-touch, lead-creation, last-touch, and position-based views. The Attribution Reviewer independently reproduces source and model totals before human approval. A successful run produces a reconciled report, visible exceptions, model disagreement, caveats, counterevidence, and bounded decisions or a clear blocked-evidence report. It never changes budgets, campaigns, targeting, source records, definitions, or closed historical periods automatically. ## Professional quality control Objective: complete the recurring Marketing revenue attribution operating cycle and deliver a review-ready, evidence-backed result rather than merely report that the schedule ran. Start by fixing the review period, reading the current source records and prior run, confirming required access, and listing missing or contradictory inputs. Execute the bundle's full authored method in order, retaining source, calculation, command, or before/after evidence for load-bearing findings. Separate facts from interpretation, apply supplied policy without inventing thresholds, and stop any branch that requires missing authority or an unconfirmed human rule. Produce the complete named deliverable plus an evidence record, assumptions, exceptions, unresolved questions, and concrete next actions with owners where the method calls for them. Run the workflow's independent verifier checks and fix failures before requesting approval. The task is done only when every requested section and quality criterion passes or a blocker is explicit; silence, inaccessible data, or polished prose is not proof of completion. Verify audience, offer, substantiation, platform limits, configuration, attribution readiness, and worst-case spend against the approved cap. Public copy must be specific and on-voice, with no generic AI phrasing, filler, hype, fake urgency, unsupported superlatives, repetitive cadence, or claims that exceed the evidence. The human retains authority over publication, sending, spend, signing, merging, deployment, and other consequential external actions.
Tools optional
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PostHog
Connects to PostHog for source-backed marketing revenue attribution.
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Mixpanel
Connects to Mixpanel for source-backed marketing revenue attribution.
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HubSpot
Connects to HubSpot for source-backed marketing revenue attribution.
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Attio
Connects to Attio for source-backed marketing revenue attribution.
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Stripe
Connects to Stripe for source-backed marketing revenue attribution.
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Paddle
Connects to Paddle for source-backed marketing revenue attribution.
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Polar
Connects to Polar for source-backed marketing revenue attribution.
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PayPal
Connects to PayPal for source-backed marketing revenue attribution.
Folders 1
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Marketing revenue attribution
Requirements
What this playbook expects to do its job. Task Machine does not verify these — you decide whether your setup is ready.
- Revenue and journey evidence — Provide product analytics events, campaign parameters, CRM contacts and opportunities, and billing transactions or exports. The workflow reports source gaps and does not manufacture identities, touches, or revenue.
Setup guide
How to Attribute Marketing Revenue
A practical method for reconciling analytics, CRM, and billing data before comparing marketing attribution models.
Read the setup guideDon't see your workflow? Describe it.
A sentence or two about a recurring job is enough. We design the playbook that runs it and show you exactly what it saves.
Install Marketing revenue attribution and run it with approvals.
Join the waitlist and we will send early access when the first private beta spots open.
Private beta. We invite teams in batches and never share your email.