Discover how fintech companies monitor cashback offers, rewards, discounts, and promotional accuracy across merchants and payment partners to improve customer trust, reduce discrepancies, and optimize campaign performance.
Who they are: A fintech, rewards, or cashback platform that surfaces thousands of merchant offers to users and lives or dies on those offers being accurate.
What success looks like: Every offer continuously validated, with changes and expiries flagged before users hit them.
The client runs a consumer platform that aggregates merchant offers and cashback. Identifying details are withheld; figures are illustrative.
Trust is a fintech's core asset, and nothing erodes it faster than a user tapping an offer that no longer exists. The client surfaced thousands of merchant deals, but offers changed constantly — new terms, new rates, silent expiries. Their team couldn't manually verify at that scale, so stale offers slipped through and generated complaints.
Actowiz built an offer-validation pipeline:
Illustrative sample data — not real offers.
| Offer ID | Merchant | Platform shows | Live now | Status |
|---|---|---|---|---|
| OF-2201 | Merchant A | 10% cashback | 10% cashback | ✔ valid |
| OF-2245 | Merchant B | 15% cashback | 5% cashback | rate changed |
| OF-2260 | Merchant C | ₹200 off | expired | expired |
| OF-2288 | Merchant D | BOGO | BOGO (new T&C) | ⚠ terms changed |
| Metric | Value |
|---|---|
| Offers validated | 6,200 |
| Discrepancies flagged | 138 |
| Expired still-live | 24 |
| Metric | Before | After |
|---|---|---|
| Offer validation | Manual, partial | Automated, full-catalog daily |
| Stale offers reaching users | Frequent | Caught before publish |
| Support tickets (bad offers) | Recurring | Reduced |
| User trust | At risk | Protected |
Key outcomes: continuous validation of thousands of offers, expired and changed deals flagged before users hit them, and a measurable drop in trust-eroding errors.
Offer terms, cashback rate, validity, and conditions across merchant pages — flagging changes and expiries daily.
By catching stale or changed offers before users encounter them, preventing the failed-offer experience that erodes trust.
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