Customers
GW
Grace Ward
dormantgrace.ward32@example.com · +447305330411
- Source
- smartr
- Last contacted
- 11 Nov 2025
- Mortgage renewal
- 18 Aug 2026
- Loan value
- £539,000
- Region
- North West
- Added
- 27 Aug 2025
first-time-buyer self-employed renewal-soon
Activity
-
Email opened — "It's been a while"
11 Nov 2025
-
Enrolled in Dormant Reactivation
27 Aug 2025
-
Imported from smartr
27 Aug 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 96
Churn risk 8
What's driving likelihood to respond
Engagement history 94
Recency of contact 93
Source quality 90
Profile & loan fit 100
Renewal timing 100
What's driving churn risk
Time since engagement 22
Contact frequency 6
Channel responsiveness 6
Relationship tenure 6
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.