Customers
AJ
Adam Jones
dormantadam.jones48@example.com · +447189927128
- Source
- mailchimp
- Last contacted
- —
- Mortgage renewal
- 26 May 2026
- Loan value
- £680,000
- Region
- South East
- Added
- 07 Oct 2025
Activity
-
Email opened — "It's been a while"
—
-
Enrolled in Dormant Reactivation
07 Oct 2025
-
Imported from mailchimp
07 Oct 2025
AI scoring How these are scored
The model scores each contact 0–100 from their engagement history, recency of last contact, source quality, and profile signals (loan value, renewal timing).
Likelihood to respond — higher is better. Churn risk — higher means more likely to go cold. Scores refresh as new activity arrives.
Likelihood to respond 85
Churn risk 30
What's driving likelihood to respond
Engagement history 85
Recency of contact 86
Source quality 96
Profile & loan fit 83
Renewal timing 79
What's driving churn risk
Time since engagement 36
Contact frequency 36
Channel responsiveness 18
Relationship tenure 29
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.