Customers
HD
Harry Davies
activeharry.davies47@example.com · +447415617595
- Source
- mailchimp
- Last contacted
- 21 May 2026
- Mortgage renewal
- —
- Loan value
- £655,000
- Region
- London
- Added
- 23 Mar 2023
high-value newsletter
Activity
-
Email opened — "It's been a while"
21 May 2026
-
Enrolled in Dormant Reactivation
23 Mar 2023
-
Imported from mailchimp
23 Mar 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 92
Churn risk 15
What's driving likelihood to respond
Engagement history 87
Recency of contact 100
Source quality 79
Profile & loan fit 82
Renewal timing 83
What's driving churn risk
Time since engagement 18
Contact frequency 10
Channel responsiveness 9
Relationship tenure 6
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.