Click Fraud

Click fraud is any click generated without genuine human intent to engage — automated bots, click farms, incentivized traffic, or the same visitor manufactured to look like many. In affiliate marketing it shows up as a partner inflating click volume to look busy, or a bad actor trying to exhaust a budget or trigger payouts on fake conversions. Left unchecked it corrupts every metric downstream: clicks, conversion rate, and EPC all become fiction.

How to recognize it

Fraud leaves fingerprints:

• Clicks with no conversions. A source sending thousands of clicks at a near-zero conversion rate is the classic signal.
• Bot signatures. Clicks whose browser identifies as a crawler, previewer, or automation tool.
• Duplicate clicks. The same visitor clicking the same link repeatedly in a short window.
• Impossible patterns. A sudden click spike from one geo or one sub-ID with flat conversions.

A worked example

An affiliate's numbers look great on volume: 40,000 clicks this week. But you break their traffic down by sub-ID and one source, s1=cheap_pop_network, accounts for 32,000 of those clicks and two conversions — a conversion rate of 0.006%, versus 3% everywhere else. That is not a slump; it is almost certainly bot or incentivized traffic. You block s1=cheap_pop_network on the campaign, and the affiliate's real sources keep flowing. The fake clicks never touched your paid conversions because they never converted — but if you paid on clicks, or if those bots had fired fake conversion pixels, the damage would have been real.

Defending the program

The layered defense is: exclude bot and duplicate clicks from counts automatically, watch sub-ID quality, block bad sources, cap suspicious volume, and require a valid click ID on conversions so manufactured conversions with no matching click record as unattributed and never pay.

How this works in LimeliJourney

LimeliJourney's tracking flags bot clicks (automated user-agents) and duplicate clicks at click time and excludes both from your report counts by default, so your baseline metrics already reflect real visits. Sub-ID reporting is the primary lens for spotting a bad source, and you can act without pausing the whole affiliate: block a sub-ID or cap its volume on the campaign's Caps & Limits tab. Traffic rules block whole classes of unwanted traffic (a geo, a device type, a referrer) at click time, and because a conversion with no matching click records as unattributed and unpaid, manufactured conversions can't quietly drain your budget.