Customers
DH
Daniel Harris
dormantdaniel.harris45@example.com · +447696200830
- Source
- smartr
- Last contacted
- 20 Dec 2024
- Mortgage renewal
- —
- Loan value
- £609,000
- Region
- Midlands
- Added
- 22 Nov 2023
Activity
-
Email opened — "It's been a while"
20 Dec 2024
-
Enrolled in Dormant Reactivation
22 Nov 2023
-
Imported from smartr
22 Nov 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 96
Churn risk 67
What's driving likelihood to respond
Engagement history 93
Recency of contact 97
Source quality 100
Profile & loan fit 100
Renewal timing 81
What's driving churn risk
Time since engagement 71
Contact frequency 76
Channel responsiveness 71
Relationship tenure 79
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.