Customers
AJ
Aisha Jones
dormantaisha.jones37@example.com · +447423675004
- Source
- smartr
- Last contacted
- 08 Jun 2025
- Mortgage renewal
- 19 Jul 2026
- Loan value
- £450,000
- Region
- Midlands
- Added
- 23 Nov 2025
self-employed
Activity
-
Email opened — "It's been a while"
08 Jun 2025
-
Enrolled in Dormant Reactivation
23 Nov 2025
-
Imported from smartr
23 Nov 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 84
Churn risk 76
What's driving likelihood to respond
Engagement history 78
Recency of contact 73
Source quality 99
Profile & loan fit 75
Renewal timing 71
What's driving churn risk
Time since engagement 81
Contact frequency 72
Channel responsiveness 81
Relationship tenure 82
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.