Customers
AA
Aisha Ali
dormantaisha.ali93@example.com · +447346333274
- Source
- smartr
- Last contacted
- 03 Mar 2024
- Mortgage renewal
- 17 Aug 2026
- Loan value
- £620,000
- Region
- North West
- Added
- 24 Aug 2023
webinar-2025
Activity
-
Email opened — "It's been a while"
03 Mar 2024
-
Enrolled in Dormant Reactivation
24 Aug 2023
-
Imported from smartr
24 Aug 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 67
Churn risk 51
What's driving likelihood to respond
Engagement history 60
Recency of contact 80
Source quality 71
Profile & loan fit 54
Renewal timing 74
What's driving churn risk
Time since engagement 46
Contact frequency 39
Channel responsiveness 38
Relationship tenure 62
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.