Customers
HR
Hannah Roberts
dormanthannah.roberts5@example.com · +447214433808
- Source
- mailchimp
- Last contacted
- 23 Aug 2024
- Mortgage renewal
- 31 Mar 2026
- Loan value
- £582,000
- Region
- Scotland
- Added
- 14 Nov 2023
newsletter renewal-soon
Activity
-
Email opened — "It's been a while"
23 Aug 2024
-
Enrolled in Dormant Reactivation
14 Nov 2023
-
Imported from mailchimp
14 Nov 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 78
Churn risk 55
What's driving likelihood to respond
Engagement history 83
Recency of contact 84
Source quality 78
Profile & loan fit 74
Renewal timing 67
What's driving churn risk
Time since engagement 49
Contact frequency 49
Channel responsiveness 46
Relationship tenure 65
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.