Customers
OM
Oliver Murphy
dormantoliver.murphy14@example.com · +447996852334
- Source
- smartr
- Last contacted
- 20 Nov 2025
- Mortgage renewal
- —
- Loan value
- £713,000
- Region
- Midlands
- Added
- 03 May 2024
high-value buy-to-let self-employed
Activity
-
Email opened — "It's been a while"
20 Nov 2025
-
Enrolled in Dormant Reactivation
03 May 2024
-
Imported from smartr
03 May 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 92
Churn risk 14
What's driving likelihood to respond
Engagement history 93
Recency of contact 100
Source quality 93
Profile & loan fit 91
Renewal timing 100
What's driving churn risk
Time since engagement 6
Contact frequency 8
Channel responsiveness 29
Relationship tenure 7
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.