Win back
Borrower lifecycle reactivation
A borrower repaid in full a year ago, still qualifies, and has heard nothing since — the next loan goes to whoever asks first.
What it does
Lenders spend heavily to acquire and underwrite a borrower, then let the relationship go dormant the day the loan is repaid. Those borrowers are the best-known, lowest-risk prospects the lender has, and they re-enter the market through a competitor's ad instead of a message from the institution that already knows them. An outbound-by-design lifecycle agent works dormant and lapsed borrowers back into active lending relationships: it watches for the right moment, checks eligibility before saying anything, and opens a conversation with a concrete, pre-qualified next step. The pattern is proven in market — a published consumer-lending deployment of this motion reported a 20% lift in reactivation.
How it works
- 1Trigger. a lifecycle condition fires — a loan repaid in full plus a seasoning period, a credit line gone unused, a dormancy threshold crossed, or an eligibility status changing in the borrower's favor.
- 2Decision. the agent verifies current eligibility and affordability signals, checks suppression rules (arrears, hardship flags, active collections, opt-outs), and reads the relationship history to pick the right product and tone. A judge gates every drafted message against lending-communication policy before it sends.
- 3Action. a clear, compliant message goes out on email or SMS with one concrete offer to explore — a pre-qualified amount, a better rate than the last loan, a no-impact eligibility check — and opens a two-way thread where the borrower can ask questions and start an application without switching channels.
- 4Follow-through. interested borrowers are walked to the application; regulated steps and final approval stay with the lender's own systems and team. Outcomes write back to the CRM, pending outreach is cancelled if the borrower returns on their own, and reactivation is measured against a holdout.
Configuration
How the agent is wired for this use case.
- Loan servicing / management system · read repayment history and line status, hand the borrower into the application
- Decisioning / eligibility engine · verify current eligibility and affordability, generate the pre-qualified amount and rate
- Suppression service · check arrears, hardship flags, active collections, and opt-outs before composing
- CRM · read relationship history to pick product and tone, write outcomes back
- Messaging channels (email, SMS) · send the compliant offer on the lender's own channel and run the two-way thread
What you need
The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.
Signals
repayment-completion events, dormancy and inactivity thresholds, eligibility or credit-status changes, product-usage signals on existing lines
Data
repayment history, current eligibility and affordability inputs, suppression flags (arrears, hardship, collections), consent and contact preferences
Guardrails
judge gating on every unprompted message; lending and marketing-communication compliance baked into policy; hard suppression of borrowers in arrears or hardship; eligibility verified before any offer is mentioned; opt-out mechanics; holdout measurement
Metrics it moves
- reactivation-rateup; the benchmark deployment in consumer lending reported a 20% lift
- recovered-revenuenew originations from already-underwritten borrowers, at near-zero acquisition cost, measured against a holdout
Related use cases
Banking product cross-sell from account signals
the same signal-driven motion for active customers
Compliant collections and promise-to-pay
the other side of the borrower lifecycle, same compliance posture
Memory-personalized win-back
the general-purpose version of this play
See it on your own customer journey
Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.
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