Customers
LA
Luke Allen
dormantluke.allen30@example.com · +447949430471
- Source
- mailchimp
- Last contacted
- 21 Mar 2025
- Mortgage renewal
- —
- Loan value
- £500,000
- Region
- Midlands
- Added
- 30 Mar 2023
referral high-value
Activity
-
Email opened — "It's been a while"
21 Mar 2025
-
Enrolled in Dormant Reactivation
30 Mar 2023
-
Imported from mailchimp
30 Mar 2023
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 90
Churn risk 5
What's driving likelihood to respond
Engagement history 94
Recency of contact 97
Source quality 93
Profile & loan fit 87
Renewal timing 80
What's driving churn risk
Time since engagement 6
Contact frequency 6
Channel responsiveness 6
Relationship tenure 7
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.