Customers
DK
David Khan
dormantdavid.khan41@example.com
- Source
- mailchimp
- Last contacted
- 21 Nov 2025
- Mortgage renewal
- —
- Loan value
- £478,000
- Region
- London
- Added
- 03 Jan 2025
referral
Activity
-
Email opened — "It's been a while"
21 Nov 2025
-
Enrolled in Dormant Reactivation
03 Jan 2025
-
Imported from mailchimp
03 Jan 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 84
Churn risk 58
What's driving likelihood to respond
Engagement history 89
Recency of contact 73
Source quality 99
Profile & loan fit 85
Renewal timing 70
What's driving churn risk
Time since engagement 52
Contact frequency 61
Channel responsiveness 68
Relationship tenure 63
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.