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Attribution Workflows

Use these workflows when the integration is installed but you still need to prove the reporting is trustworthy.

Base Attribution Workflow​

Use this for Base plugin validation and attribution continuity checks.

  1. Build a test URL with a full UTM set.
  2. Visit the WordPress landing page in a clean browser session.
  3. Follow the normal path toward your SaaS conversion flow.
  4. Complete the target action.
  5. Check the resulting record or report for the expected source values.

Expected result:
The downstream record should reflect the same meaningful context that was captured at landing.

Diagnose low attribution coverage​

Use this when enrollments exist but only a subset of them are attributable.

Check in this order:

  1. Was attribution captured on the original landing page?
  2. Did the visitor cross the intended stop point?
  3. Was the handoff path the same path your implementation expects?
  4. Did the downstream SaaS outcome arrive in a way the integration can match?

This workflow prevents teams from blaming reporting when the real issue is a broken journey.

Compare pages, not just channels​

Channel data is useful, but page-level insight usually improves decisions faster.

Review:

  • which landing pages start attributable journeys
  • which pages create high-value enrollments
  • where users drop before the stop point

This is often where marketers find that content strategy and conversion architecture matter as much as ad spend.

Pro Revenue Attribution Workflow​

This feature is available in SignalStack Pro.

Use this when you need to explain attributed revenue trends to operators, marketers, or founders with enough detail to drive budget and campaign decisions.

Build a Pro revenue readout​

  1. Set a reporting window (for example: last 30 days vs previous 30 days).
  2. Filter by key UTM dimensions (source, medium, campaign) to isolate meaningful cohorts.
  3. Break out performance by landing page and conversion path.
  4. Compare attributable revenue and attribution coverage side by side.
  5. Capture top gains, top losses, and likely causes before sharing with stakeholders.

Focus on​

  • attributed revenue by source and campaign
  • coverage percentage for the same period
  • revenue movement across key landing paths
  • known gaps or excluded paths
  • actions the team should take next

What this gives you​

  • a defensible narrative of where revenue came from
  • confidence scoring for decisions (high coverage vs low coverage views)
  • a clear list of optimization priorities for the next cycle