Affiliate

CPI campaigns

Fake installs

Fake install fraud on affiliate CPI campaigns

Fake installs are the primary fraud threat to CPI affiliate programmes. Device farms, bot scripts, and emulator environments generate fraudulent install events that trigger commission payouts for users who never existed.

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Fake installs are the defining fraud problem of CPI affiliate programmes

Fake installs are the central fraud challenge for every CPI affiliate programme. Fraudulent publishers use device farms, bot scripts, emulator environments, and SDK spoofing to generate app install events that register with your mobile measurement partner as genuine CPI attributions. Each fake install triggers a commission payout. No real user ever downloaded your app. Your install volumes look strong. Your CPI appears competitive. But your post-install data exposes the reality: zero retention, no in-app activity, and user cohorts that churn immediately because they were never real people.

The scale of fake install fraud on CPI programmes is substantial. Industry data shows that globally, approximately 28% of mobile app installs are fraudulent on average. Affiliate CPI programmes, where the financial incentive for fake install generation is direct and immediate, face fraud rates at the higher end of this range. Sophisticated fake install operations go beyond the install event itself, simulating early in-app actions such as tutorial completions and first registrations to pass MMP quality filters and unlock higher-payout commission tiers. Tapper analyses the full install lifecycle, from click through install to post-install behaviour, to detect fake installs at every level of sophistication.

How Tapper stops fake installs on Affiliate cpi campaigns

Three steps from connection to clean campaign data, no engineering required.

Connect your CPI affiliate tracking and MMP to Tapper

Tapper integrates with your affiliate network and mobile measurement partner (AppsFlyer, Adjust, Kochava, Singular, or Branch), monitoring the complete attribution chain from affiliate click through to install event and post-install session behaviour.

Fake installs detected across the full attribution funnel

Tapper analyses device signals, click-to-install timing distributions, post-install event sequencing, and session behaviour to identify fake installs from all sources: device farms, bot scripts, emulators, and sophisticated operations that simulate in-app events to pass basic fraud filters.

Fraudulent CPI installs rejected before commission payouts

Fake install attributions are rejected before commission calculations, protecting your CPI budget and ensuring publisher tier rankings in your UA programme reflect genuine user acquisition performance.

Fake installs on Affiliate cpi campaigns by the numbers

Data from Tapper's platform analysis and published industry research.

10-15%

Of affiliate spend lost to fraud on average

28%

Of mobile installs are fraudulent globally on average

64%

Of affiliate programmes experience significant fraud

90%

Fake install detection rate by Tapper

Tapper vs Affiliate Network Fraud Detection

See exactly where the gaps are, and why they matter to your cpi campaigns performance.

Capability

Tapper

Affiliate Network Fraud Detection

Fake install detection on CPI programmes

Full attribution lifecycle from affiliate click to post-install behaviour

Install-level signal matching only

Simulated in-app event detection

Identifies scripted post-install events used to pass quality filters

Post-install events not analysed for fraud

MMP integration for CPI fraud

Compatible with AppsFlyer, Adjust, Kochava, Singular, and Branch

Network-native data only

Pre-payment rejection

Fake installs excluded before CPI commission calculated

Dispute process after payout

Success stories

Trusted by industry leaders

See how companies are protecting their ad budgets and improving ROI with Tapper.

“Tapper played a key role in improving the efficiency of Du's performance marketing activity by addressing traffic quality issues within campaigns. Following implementation, Du achieved a 13% reduction in CPA and an 8.6% increase in order rate, demonstrating a clear improvement in conversion quality and overall campaign effectiveness.”

Joseph Elbcherrawy

Client Leadership Director, Mindshare, a WPP Media Brand

“During our Tapper trial for INFINITI, we uncovered low-quality traffic that wasn't visible inside the platforms. Removing it delivered a 14% uplift in conversions and an 11.4% reduction in CPA - a meaningful efficiency gain for INFINITI's 2026 growth plans.”

David Barnes

Data & Technology Lead, Omnicom Group

“With Tapper's protection we were able to identify and block invalid clicks in real time. The impact was immediate as our cost per acquisition dropped by 30% and ROAS improved significantly. More importantly, Tapper gives us the confidence that our campaigns are reaching genuine customers, which makes it truly invaluable.”

Dimitris Bakas

Senior Performance Marketing, Public Group

“We started using Tapper to get better visibility on where our clicks were coming from, and ended up cutting wasted spend by over 12%. The performance uplift was clear, and for the first time, we could trust the numbers we were seeing. It's a total game-changer for campaign integrity.”

Stuart Parkin

Director of Operations, Regit

“Tapper's blocking technology purifies our paid media traffic which roughly equates to a 36x return against its subscription costs. It's certainly one of the easiest-to-implement tools in our entire marketing stack.”

Reno Mindemann

Head of Growth, Kama Capital

“We've been using Tapper for over a year now, and it has become a core part of how we run paid media. Invalid traffic was always something we knew existed but couldn't really act on. Tapper changed that. We're now saving up to $50K per year, and on PureSquare specifically, we saw around a 20% decrease in CPA. Based on these results, we decided to roll it out across other ventures under Disrupt as well.”

Nurkan Kirkan

GTM Consultant / Paid Growth, Disrupt.com

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Frequently asked questions

Everything about fake installs on Affiliate cpi campaigns.

Basic MMP fraud detection focuses on install-level signals: device ID validity, click-to-install timing, and known bad device signatures. Sophisticated fake install operations use real devices or correctly replicated device signals to pass these checks, then simulate the early in-app events required for quality filters. Tapper adds a behavioural analysis layer that examines the full session lifecycle, identifying the artificial uniformity and scripted patterns that distinguish fake installs from genuine user engagement.

Fake installs have a direct financial impact through fraudulent commission payouts, and an indirect impact through corrupted UA data. Your reported CPI includes fake installs in the denominator, making your genuine CPI appear lower than it actually is. Your post-install cohort data is contaminated by fake users who churn immediately, distorting your LTV projections. Your publisher rankings favour fraudulent publishers over legitimate ones, leading to misallocated UA budget.

MMPs provide a baseline level of fake install detection focusing on device signal validation and CTIT rules. Sophisticated fake install operations using real devices or correct signal replication can bypass these rules. Tapper adds a complementary detection layer that identifies fraud through behavioural and statistical analysis of the install session and post-install activity, catching fake installs that MMPs are not designed to detect.