Case Study: CPA Network cut payout hold from 30 to 5–7 days and stopped fraud-related losses
Overview
The client's key competitive advantage: fast payouts to webmasters, almost next-day. But new partner traffic could not be verified quickly — the advertiser's final quality assessment arrived 30–60 days later. By then, the money had already been paid to the webmaster.
The Challenge
The fraud pattern was straightforward:
- A new partner starts with low volumes
- After the first payout, traffic scales sharply: $100/day → $1,000–2,000/day
- Fraud is detected 30–60 days later when the advertiser returns a quality report
- The money has already been paid out. No way to recover it.
The only protection available: a 30-day hold on payouts for new partners. It undermined the network's main competitive advantage and slowed down webmaster onboarding.
Losses compounded over time. If fraud consumed part of the cap, the advertiser cut the cap for the following month and lowered rates. A one-time loss turned into a revenue decline across quarters.
Monitoring before Kaminari Click
Every ~3 days, a manager would manually open the dashboard, run breakdowns by groupings, and look for bad metrics. About 5 minutes per partner. Decisions came late, human error was unavoidable.
The Solution
Kaminari Click was embedded into the CPA network's redirect chain as an early traffic quality layer, before the advertiser's fraud report.
Managers did not change their interface. Fraud signals arrive in Slack the moment threshold rules are triggered. Kaminari Click runs under the hood — the dashboard is only accessed when deeper analysis is needed.
The CPA network's development team performs the technical integration once.
Fraud response workflow
- Slack alert: manager sees the flagged source and metrics
- Quick assessment directly in the message
- If needed: drill-down in the Kaminari Click report
- Webmaster suspended
- Advertiser notified, reports reconciled
Alert threshold configuration
Slack alert
Results
Advertiser caps are preserved, rates hold, and trust grows.
Cases
Case A. Bot farm: 110K hits, IVT 99%
What happened. One source over 19 days: 110,773 hits, IVT 99% (≈51% Spoofing + ≈48% Automated). A bot farm running simultaneously across 5 geos on one offer. Shut down abruptly after detection.
The pain. The CPA network pays the webmaster for 110K bot hits. The advertiser sees zero LTV 30–60 days later and files a dispute. The money is already gone — no way to get it back.
The outcome. Source cut at the click level, before any payout and before the advertiser. Not a single bot was paid for. Dispute closed with no reputational damage, cap preserved.
Stats by GEO
Case B. Clean clicks, 97% fraud on conversions
What happened. 994K clicks, IVT 1% — the partner's tracker sees normal traffic. Kaminari Click flagged the majority of traffic as Suspicious/SV. Conversions confirmed it: 13,604 fraud out of 13,982 total (97%). At CPA $1.25: ~$17K in fake payouts out of $17.5K.
The pattern. Not obvious bots: real off-target traffic with a small share of hard fraud layered on top of live sessions. IVT looks fine (99% real browsers), but bots generate the conversions. A standard partner tracker cannot see this pattern at all.
The pain. The CPA network pays the webmaster $17.5K for 13,982 conversions. A month later the advertiser says "we won't pay for 97% of those leads — it's fraud." The network is in the red. No basis to dispute: there's no data beyond IVT.
The outcome. $17K stays with the network. Detailed data (Spoofing SV / Spoofing IVT / Proxy) is already on hand to close the dispute with the advertiser.
Daily breakdown: clicks vs conversions Good / Fraud
Case C. Source-level breakdown saves a partner relationship
What happened. A single webmaster sent a campaign with mixed signals: IVT 15%, Proxy 22%, Good 62%. Overall conversion fraud 38%. Kaminari Click broke the traffic down by source — and the picture changed: 5 out of 7 sources were clean (fraud 0–12%), 2 showed 100% fraud. The network suspended those 2 sources and kept the other 5 running.
The pain. Without the source-level breakdown, the only option was to suspend the webmaster entirely. That would have meant losing 5 healthy sources and ending a relationship with a proven partner — over 2 bad sub-sources the webmaster may not even have known about.
The outcome. The network pointed out the toxic sources directly to the webmaster. ~$10K saved. The partner relationship stayed intact, volume was unaffected, and the advertiser received clean traffic. This approach works for any mixed campaign where the problem is isolated to specific sources, not the webmaster as a whole
Key Takeaways
The value of Kaminari Click is not about blocking bots at the click level. It's about building a process where a bad partner is visible immediately, cut off before their traffic reaches the advertiser, and never gets a chance to affect caps and rates.
This is not a one-time saving. It's a protective barrier around future revenue.
Technical Integration
The check runs inside the client's own redirect chain. Kaminari Click is invisible in traffic — the CPA network's own domain is used throughout.
Conversions are passed via a single postback linked by conversion ID. The click → conversion → fraud verdict chain is visible in one report.
Pull-API lets clients export data into their own storage to build scoring models and analytics dashboards.
Book a demo with Kaminari Click See it on your traffic. 15-minute demo. No integration needed to start.
