Customers
CP
Chloe Patel
dormantchloe.patel64@example.com · +447591728451
- Source
- smartr
- Last contacted
- 10 Jul 2024
- Mortgage renewal
- 26 Nov 2026
- Loan value
- £622,000
- Region
- Scotland
- Added
- 28 Jun 2024
remortgage buy-to-let first-time-buyer
Activity
-
Email opened — "It's been a while"
10 Jul 2024
-
Enrolled in Dormant Reactivation
28 Jun 2024
-
Imported from smartr
28 Jun 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 79
Churn risk 20
What's driving likelihood to respond
Engagement history 87
Recency of contact 87
Source quality 77
Profile & loan fit 78
Renewal timing 73
What's driving churn risk
Time since engagement 18
Contact frequency 17
Channel responsiveness 19
Relationship tenure 16
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.