What data does AeroCampaign's recommendation engine use?
Three categories, all from events an email platform already records. Behavioural: open history, click topology, cadence response, and dwell between touches. Contextual: list provenance, firmographics, CRM stage, and declared preferences. Environmental: sector momentum, seasonal demand, peer benchmarks, and topic salience in the contact's industry. No new instrumentation is required.
- Behavioural signals: open history, click topology, cadence response, dwell time.
- Contextual signals: list provenance, firmographics, CRM stage, declared preferences.
- Environmental signals: sector momentum, seasonal demand, peer benchmarks, topic salience.
- All behavioural signals come from events the platform already captures.
- Signals are recency-weighted.
The distinguishing input is the environmental layer. Cohort messaging grounded only in first-party behaviour tends to talk about the sender; grounding it against what is moving in the recipient's sector makes the message about the recipient's world instead.