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ANALYTICS

Read campaign analytics

Use InboxAI analytics to understand campaign activity and identify questions worth investigating. Metrics should be interpreted in context rather than treated as absolute proof of recipient behaviour.

Applies to: InboxAI Desktop v0.1.45 min read · Beginner
InboxAI Analytics dashboard containing demonstration campaign results
ANALYTICS · DEMO DATAReal interface · Demo data

Review the campaign in context

Compare performance with campaign purpose, audience quality, sender condition, content and delivery events.

  1. Start with delivery activityIdentify sends, failures and bounces before judging engagement.
  2. Review trendsCompare similar campaigns rather than unrelated audiences.
  3. Investigate anomaliesSudden changes may indicate data, provider or configuration issues.
  4. Record decisionsNote what changed so future comparisons remain meaningful.
  5. Avoid misleading claimsSome privacy protections and client behaviour can affect tracking accuracy.

Use data to improve the next campaign

Adjust one or two meaningful variables at a time, such as audience relevance, subject clarity or sender readiness.

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Metrics are directional

Opens, clicks and other tracked events may be incomplete or influenced by automated systems.

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