Customers
EH
Emily Hughes
dormantemily.hughes58@example.com · +447712512593
- Source
- manual
- Last contacted
- 16 Dec 2025
- Mortgage renewal
- —
- Loan value
- £503,000
- Region
- London
- Added
- 07 Sept 2025
renewal-soon newsletter
Activity
-
Email opened — "It's been a while"
16 Dec 2025
-
Enrolled in Dormant Reactivation
07 Sept 2025
-
Imported from manual
07 Sept 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 86
Churn risk 84
What's driving likelihood to respond
Engagement history 71
Recency of contact 76
Source quality 97
Profile & loan fit 84
Renewal timing 74
What's driving churn risk
Time since engagement 77
Contact frequency 95
Channel responsiveness 82
Relationship tenure 73
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.