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Why your referral programme is losing money

Data & AI By Mits Engineering Team 2 min read
Why your referral programme is losing money

Referral bonuses, first-order discounts, cashback and affiliate commissions are among the most effective growth levers available in the Indian market, and among the most reliably exploited. Within weeks of launch, coordinated groups will be extracting value at a scale the launching team did not model — and because this is classified as growth spend rather than fraud, it frequently runs for months before anyone measures it properly.

The mechanics are unglamorous and effective. Multiple accounts created with disposable numbers and email addresses, each claiming a signup bonus. Referral chains where one person refers themselves repeatedly through fresh identities. Orders placed to trigger a reward and cancelled after it lands. Affiliate traffic that would have converted anyway, claimed as newly acquired. Coupon codes intended for one segment circulated publicly within hours.

The defence is not a single check but a set of overlapping signals, because each one alone is defeatable. Device fingerprinting catches many multiple accounts. Payment instrument reuse across supposedly distinct accounts is a strong signal. Delivery address clustering. Timing patterns — accounts created in sequence, minutes apart. And behavioural difference: a genuine new customer browses, hesitates and completes; an incentive harvester goes straight to the qualifying action.

Structure the incentive so that abuse is uneconomic rather than merely detected. Pay the referral reward after the referred customer has done something valuable — a second purchase, thirty days retained — rather than on signup. Cap rewards per referrer per period. Require the referred account to complete a transaction with its own payment instrument. Each of these reduces the programme's headline conversion and improves its actual return, which is a trade worth making explicitly rather than by accident.

Measure the programme on incremental revenue, not on redemptions. The number that matters is what these customers were worth net of the incentive and net of what you would have earned without it. Most Indian growth programmes we have looked at have a redemption dashboard and no incrementality measure, which means nobody can say whether the spend produced customers or merely produced discounts for customers who were coming anyway.

Then be careful about the enforcement experience, because false positives are expensive in a different currency. A genuine customer whose reward is withheld, with no explanation and no appeal, complains publicly and is believed. Give support the ability to see why a reward was blocked and the authority to release it, and treat a rising rate of overturned blocks as a signal that your rules are too aggressive rather than as support being soft.

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