Customers
LW
Lily Williams
dormantlily.williams68@example.com · +447813774683
- Source
- smartr
- Last contacted
- 19 Jan 2024
- Mortgage renewal
- 21 Jul 2026
- Loan value
- £596,000
- Region
- Midlands
- Added
- 01 Dec 2024
newsletter webinar-2025 remortgage
Activity
-
Email opened — "It's been a while"
19 Jan 2024
-
Enrolled in Dormant Reactivation
01 Dec 2024
-
Imported from smartr
01 Dec 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 63
Churn risk 20
What's driving likelihood to respond
Engagement history 68
Recency of contact 56
Source quality 48
Profile & loan fit 66
Renewal timing 76
What's driving churn risk
Time since engagement 18
Contact frequency 11
Channel responsiveness 9
Relationship tenure 7
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.