Real data & methodology

Know what supports a result.

Check the source, period and limitations before turning a result into a decision.

Search evidence and estimates

Search providers can supply keyword and result data when configured and available. Check source coverage and labels: missing data and AI estimates are not measured demand.

Traceable calculations

Reports calculate supported metrics from recorded inputs. Check the selected dates, accounts and currency; unsupported totals remain unavailable.

Review before approval

Plan review flags risks and assumptions in a saved plan. You assess the findings and decide whether to revise or approve the current version.

Shared brand context

Saved company information and writing rules inform agent work. Review generated claims and tone; shared context does not guarantee an error-free result.

Attribution with limits

Attribution depends on recorded events and identifiers. Incomplete journeys and unsupported campaign matches remain uncertain; a model does not establish causation.

Visible data coverage

Connected platforms provide data through their APIs where supported. Sync dates, failures and missing coverage matter when comparing periods. Some workflows may require manual data.

From evidence to a decision

1

Real inputs

Review available source data and saved campaign context.

2

Deterministic math

Separate calculated results, AI estimates and unknowns.

3

Reviewed by AI, then you

Review the findings and decide what to change.

See it on your own data

Connect a supported source, check its coverage and explore your recorded results.

Start free

Your next campaign starts with what Tractn learns about you.

Learn, plan, create, publish, capture and measure in one connected loop. Tractn does the groundwork; you approve what goes out.