Use case
Use case3 min readBy The Data Workers Team

Campaign attribution data, run by agents

Ad platforms, web analytics and CRM disagree on what drove conversions, and attribution becomes a debate. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Ad platforms, web analytics and CRM disagree on what drove conversions, and attribution becomes a debate.
  • •What changes. Agents land every platform, map API changes and govern one definition of a conversion and an attributed touch.
  • •What stays with your people. Attribution model changes: budgets follow them.
  • •The result. Attribution starts from one definition.

The problem today

Ad platforms, web analytics and CRM disagree on what drove conversions, and attribution becomes a debate.

What changes with Data Workers

Agents land every platform, map API changes and govern one definition of a conversion and an attributed touch.

The workflow: Connectors agent (get_connector_status) → Schema Evolution agent (detect_schema_change) → Data Context & Catalog agent (define_business_rule) → Quality Monitoring agent (run_quality_check).
Fig. 1:The workflow: Connectors agent (get_connector_status) → Schema Evolution agent (detect_schema_change) → Data Context & Catalog agent (define_business_rule) → Quality Monitoring agent (run_quality_check).

The workflow, step by step

  1. 1.The Connectors agent calls get_connector_status and lands ad platforms.
  2. 2.The Schema Evolution agent calls detect_schema_change and maps API changes.
  3. 3.The Data Context & Catalog agent calls define_business_rule and governs conversion definitions.
  4. 4.The Quality Monitoring agent calls run_quality_check and ties spend to invoices.

The impact metrics we move

  • •Ad API change mapped: from about 2 days to 15-30 min
  • •Spend tie-out: from about a week to 15-20 min
  • •Attribution refresh: from about a week to 4 h
Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.
Fig. 2:Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.

What goes on autopilot

  • •Platform changes are mapped on arrival, so no gaps in attribution.
  • •Conversions are governed, so teams agree.

Where your people stay in charge

Attribution model changes always go to a named approver, because budgets follow them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. Attribution for two channels.
  • •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
  • •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
  • •At day 30. We review the impact metrics against your baseline:
  • •Ad API change mapped: from about 2 days to 15-30 min
  • •Spend tie-out: from about a week to 15-20 min
  • •Attribution refresh: from about a week to 4 h
  • •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.

Related: The marketing and growth page · The full team playbook

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