AI needs timelines, not flat tables.
EngageMKTG stores customer actions as clean, timestamped event timelines that power CLV, churn, next-best-action, and lifecycle decisioning.
The problem this solves
Flat customer tables hide sequence, recency, and cause. A clean event timeline preserves what happened, when it happened, and the state change it created.
What your team gets
- Easier CLV modeling
- Better churn prediction
- Smarter next-best-action logic
- Clearer lifecycle history
- Faster model training
- Better explainability
Event families that preserve lifecycle context
- Subscription events
- Engagement events
- Purchase events
- Preference events
- Consent events
- Status-change events
- Complaint and deliverability events
Turn events into ML-ready features
Use recency, frequency, sequence, and duration to prepare inputs for CLV, churn, next-best-action, and send-time models.
Give planners the recent context
Planners evaluate the profile timeline before choosing an eligible campaign, channel, or wait state.
Keep the history human-readable
Operators can review the same timestamped lifecycle trail behind each automated recommendation or decision.
Platform and offer links
See the modules and applications connected to this page.
Start with a measurable lifecycle problem.
Prove one application first, then expand the same profile and decision infrastructure as the business case becomes clear.
Explore Lifecycle Decisioning