Customers
ES
Emily Singh
dormantemily.singh16@example.com · +447448763350
- Source
- smartr
- Last contacted
- 14 May 2025
- Mortgage renewal
- 21 May 2027
- Loan value
- £707,000
- Region
- Scotland
- Added
- 30 Jan 2024
Activity
-
Email opened — "It's been a while"
14 May 2025
-
Enrolled in Dormant Reactivation
30 Jan 2024
-
Imported from smartr
30 Jan 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 90
Churn risk 46
What's driving likelihood to respond
Engagement history 80
Recency of contact 91
Source quality 92
Profile & loan fit 99
Renewal timing 81
What's driving churn risk
Time since engagement 43
Contact frequency 46
Channel responsiveness 54
Relationship tenure 34
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.