Customers
IM
Isla Murphy
dormantisla.murphy8@example.com · +447293627106
- Source
- smartr
- Last contacted
- 25 Apr 2025
- Mortgage renewal
- —
- Loan value
- £663,000
- Region
- London
- Added
- 11 Jun 2024
newsletter remortgage
Activity
-
Email opened — "It's been a while"
25 Apr 2025
-
Enrolled in Dormant Reactivation
11 Jun 2024
-
Imported from smartr
11 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 91
Churn risk 92
What's driving likelihood to respond
Engagement history 83
Recency of contact 79
Source quality 99
Profile & loan fit 80
Renewal timing 100
What's driving churn risk
Time since engagement 100
Contact frequency 81
Channel responsiveness 82
Relationship tenure 96
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.