Customers
CH
Chloe Hughes
dormantchloe.hughes25@example.com · +447205154968
- Source
- mailchimp
- Last contacted
- 17 Jun 2025
- Mortgage renewal
- —
- Loan value
- £595,000
- Region
- South East
- Added
- 29 Nov 2024
referral self-employed
Activity
-
Email opened — "It's been a while"
17 Jun 2025
-
Enrolled in Dormant Reactivation
29 Nov 2024
-
Imported from mailchimp
29 Nov 2024
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 30
What's driving likelihood to respond
Engagement history 83
Recency of contact 90
Source quality 75
Profile & loan fit 86
Renewal timing 82
What's driving churn risk
Time since engagement 20
Contact frequency 22
Channel responsiveness 32
Relationship tenure 19
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.