Use case #0002

Offer calibration: how Reactivation AI determines the right rate to bring borrowers back

The re-engagement offer for a lapsed borrower must solve a specific problem: it must be better than whatever the borrower has or is considering elsewhere, while not being so concessive that it damages the institution's margin or signals desperation. The right rate is not the lowest rate the institution can afford to offer — it is the minimum concession required to make the offer more attractive than the alternative the borrower faces. A borrower who left because a competitor offered 10.25% needs an 11.00% offer (50 basis points better than their perceived market), not a 9.75% offer (which costs the institution 50 basis points more than necessary). Calibration is precision; it is not a race to the bottom.

The re-engagement offer for a lapsed borrower must solve a specific problem: it must be better than whatever the borrower has or is considering elsewhere, while not being so concessive that it damages the institution's margin or signals desperation. The right rate is not the lowest rate the institution can afford to offer — it is the minimum concession required to make the offer more attractive than the alternative the borrower faces. A borrower who left because a competitor offered 10.25% needs an 11.00% offer (50 basis points better than their perceived market), not a 9.75% offer (which costs the institution 50 basis points more than necessary). Calibration is precision; it is not a race to the bottom.

The four factors that determine the right re-engagement rate

The Reactivation Agent AI computes the re-engagement rate offer from four factors simultaneously. The first is the borrower's departure reason — a clean-closure borrower who simply repaid their loan needs no rate concession; they left in good standing and will return on standard terms if the offer is otherwise right. A refinance-churn borrower who explicitly moved to a competitor needs a rate that beats their current rate by enough to make the switching cost worthwhile. The second factor is the borrower's current credit profile — their CIBIL score now versus at the time of departure determines whether they are eligible for a better rate on merit alone. A borrower whose score improved from 720 to 768 since they left qualifies for a better rate tier regardless of any win-back concession. The third factor is the competitive market rate — the Reactivation AI maintains a live view of competitor rates for each product category and geography, and benchmarks the offer against the rate the borrower is most likely to find if they approach another institution. The fourth factor is the institution's minimum acceptable rate — the floor below which the product is unprofitable, which the offer cannot breach regardless of the other factors.

"The re-engagement rate that is 50 basis points better than the market is the rate that wins. The rate that is 150 basis points better is a rate the institution did not need to offer — and will regret when it has to hold for the loan's full tenor."

The rate calibration matrix by closure type

Closure typeRate concession approachBenchmarkTypical offer vs standard rate
Clean closure (repaid on time, loan completed) No rate concession required. Standard rate for current CIBIL tier. Loyalty acknowledgement in message only. Current product rate grid for the borrower's CIBIL score at the time of the new loan 0 to −10 bps (merit-based CIBIL improvement only)
Early foreclosure (paid off ahead of schedule) Small relationship discount. Borrower proactively repaid — they are financially capable and left on their own terms, not the institution's. A modest loyalty rate signals the institution values early repayment. Standard rate minus 15–25 bps loyalty discount −15 to −25 bps
Refinance churn (moved to competitor for lower rate) Rate must be competitive with the market. Target: 40–60 bps below what the borrower's profile suggests the competitor offered. Check: competitor's current advertised rate for this product and geography. Estimated competitor rate minus 40–60 bps (net of switching cost) −40 to −60 bps below market
Settlement (restructured and settled) No rate concession — the borrower represents a higher credit risk. Standard rate for their recovered CIBIL tier. The win-back value proposition is eligibility (they can borrow again) not rate. Standard rate for recovered CIBIL tier (typically 13–15% for settled accounts with 650–680 CIBIL) 0 bps from risk-tier standard
NPA closure (written off, subsequently recovered) Secured product only, with current asset valuation. Rate reflects current risk profile, not history. The win-back offer emphasises relationship continuity and a fresh start — not a rate discount on a high-risk profile. Secured product rate for current asset quality and CIBIL tier 0 bps — risk tier determines rate

The live offer calibration: two lapsed borrowers, two different offers

Arjun Mehta · LA-2023-4421 · Clean closure · Home loan repaid Jan 2025
Closure typeClean — full repayment on schedule
CIBIL at origination724
CIBIL now (Nov 2025)774 (+50 points)
Re-engagement triggerLife event: property registration in Whitefield, Oct 2025
Original rate (closed loan)11.25%
Standard rate — CIBIL 774 tier10.50%
Rate concession appliedNone required — merit rate already competitive
Re-engagement offer rate10.50% (vs 11.25% previous — 75bps better, on merit)
Offer message frameLoyalty acknowledgement + CIBIL improvement highlighted + new property as context
Estimated new loan₹55–65L home loan on Whitefield property
Priya Sundarajan · LA-2022-8841 · Refinance churn · Moved to SBI Nov 2023
Closure typeRefinance churn — moved for lower rate
CIBIL at origination748
CIBIL now (Nov 2025)752 (+4 points)
Re-engagement triggerBureau: new enquiry at Axis Bank Nov 8 — SBI rate rise likely
Original rate (closed loan)11.75%
Estimated SBI current rate (her CIBIL)10.75% (reported market)
Institution standard rate — CIBIL 75210.65%
Rate concession applied−25bps relationship re-engagement discount
Re-engagement offer rate10.40% (vs estimated SBI 10.75% — 35bps better)
Offer message frameRates have changed · We are now better than where you are
Urgency48-hour offer window (bureau enquiry at Axis signals active shopping)

The re-engagement offer for Priya Sundarajan: the 48-hour window

Re-Engagement Offer — Priya Sundarajan · 48-Hour Window · Nov 10, 2025
Trigger: bureau enquiry at Axis Bank Nov 8 · Closure type: refinance churn · Window: critical
Dear Priya,

We noticed you have a home loan enquiry outstanding — and we'd like to make a case for bringing your home loan back to us before you decide. Rates have moved since you last borrowed with us, and we think you'll find the current picture interesting.
Your offer rate10.40% p.a.
vs. market (est.)10.75–10.90%
Offer valid48 hours

When you refinanced in 2023, we were at 11.75% and SBI offered 10.25%. We understand why you moved. What's changed: we've invested significantly in our home loan product — digital disbursal in 5 working days, no physical visit required, and a dedicated relationship manager for the life of your loan. Our rate today is 10.40% — below what most banks are currently offering for your profile.

We still have your KYC on file. If you'd like to explore this, the only thing we'd need from you is a current bank statement — everything else we have. We could have a sanction-in-principle for you by tomorrow morning.

This offer expires in 48 hours. We are being specific because we want to be honest with you: we know you are actively looking, and we'd rather make a clear case now than follow up in three weeks after you've already signed elsewhere.

25 bpsRate concession for Priya — minimum needed to beat estimated SBI rate by 35bps · Not 150bps · Calibrated to the gap, not the floor
0 bpsRate concession for Arjun — clean closure, CIBIL improved 50 points, merit rate already 75bps better than his previous loan
48hrsPriya's offer window — bureau enquiry at Axis Nov 8 · Axis may sanction in 5–7 days · 48-hour frame is honest and appropriate
4Factors in rate calibration — departure reason, current CIBIL tier, competitive market rate, institution minimum floor · Not a guess

The offer that wins back the borrower without costing more than necessary is the offer that was calibrated, not discounted

A 25 basis point concession on a ₹45 lakh home loan over 20 years costs the institution approximately ₹1.4 lakhs in NIM across the loan's life. If that concession wins back a borrower who would have otherwise gone to a competitor, the institution earns approximately ₹5.8 lakhs in NIM at the competitive rate — a net gain of ₹4.4 lakhs from a calibrated concession. A 150 basis point concession on the same loan costs ₹8.4 lakhs in NIM — more than the loan is worth to win back. The Reactivation Agent AI calibrates the rate to the minimum concession required to win — not the maximum concession the institution can afford to offer. That discipline is the difference between a sustainable win-back programme and an expensive race to the bottom.

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