Customers
DW
Daniel Williams
dormantdaniel.williams3@example.com · +447151650801
- Source
- mailchimp
- Last contacted
- 11 Jul 2024
- Mortgage renewal
- 23 Oct 2027
- Loan value
- £696,000
- Region
- Scotland
- Added
- 28 Oct 2024
buy-to-let newsletter self-employed
Activity
-
Email opened — "It's been a while"
11 Jul 2024
-
Enrolled in Dormant Reactivation
28 Oct 2024
-
Imported from mailchimp
28 Oct 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 85
Churn risk 9
What's driving likelihood to respond
Engagement history 78
Recency of contact 99
Source quality 100
Profile & loan fit 99
Renewal timing 74
What's driving churn risk
Time since engagement 22
Contact frequency 24
Channel responsiveness 17
Relationship tenure 6
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.