Incentivized traffic comes from users who are rewarded for completing an action, such as clicking a link, registering, installing an app or making a deposit. Rewards include cash, cashback, points, gift cards or in-game currency, usually offered through reward sites, offerwalls and loyalty apps. The user's motivation is the reward, not the product itself.
How it works
The affiliate, often a rewards platform, lists the offer. A user completes the required action, the brand's tracking records a conversion, and the affiliate passes part of its commission to the user as the reward. Incentivized traffic is not fraud by definition. Some advertisers buy it deliberately, for example app publishers seeking install volume, and cashback sites are a mainstream affiliate channel. It becomes a problem when it is sent to an offer that prohibits it, or when it is disguised as non-incentivized traffic.
Example
Example: a fintech app pays a $30 CPA per verified account. Users from its regular affiliates make a first transaction 40% of the time. A new source, later identified as an offerwall, delivers 500 accounts in a week, but only 3% transact and almost none return after day one. The CPA was earned on paper, while the brand acquired very little lasting value.
How brands detect and control it
- State in the affiliate agreement whether incentivized traffic is allowed, and which kinds (cashback on purchases versus rewards for sign-ups).
- Pay on a qualification baseline or a downstream event, such as a first purchase or deposit, rather than on registration alone.
- Compare retention and LTV per affiliate and sub-ID: incentivized sources show high conversion rates and weak activity afterwards.
- Watch for spikes from reward-site referrers and repeated device fingerprints.
In iGaming, incentivized sign-ups also bring bonus-abuse risk and can conflict with responsible-gambling obligations, so operators should decide explicitly whether to accept them. More detection methods are in affiliate fraud detection.
Related: qualification baseline, LTV, click fraud, self-referral.