Stop ad fraud on mobile in-app event campaigns
Fraudsters simulate registrations, purchases, and level completions to trigger in-app event payouts and corrupt your campaign optimisation signals. Tapper detects fake post-install events before they drain your budget or mislead your bidding algorithms.
Trusted by leading brands worldwide
In-app event optimisation is increasingly targeted because it pays out more than basic CPI
As more UA campaigns shift from optimising toward installs to optimising toward in-app events such as registrations, purchases, subscriptions, and tutorial completions, fraudsters have adapted. Post-install event fraud is now one of the fastest-growing segments of mobile ad fraud because the payouts per event can be substantially higher than CPI, and because ad network algorithms that optimise toward events are particularly sensitive to fraudulent signals. A fraud operation that successfully simulates your target in-app event convinces your bidding algorithm to direct more budget toward the traffic source generating those events, accelerating losses.
The mechanics of in-app event fraud vary. Click farms use real devices to install your app and script the early in-app interactions that trigger event payouts. Device farms simulate install and event sequences using automation tools on real hardware, mimicking the user journey convincingly enough to pass CTIT and first-session checks. SDK spoofing operations can generate both the install signal and the post-install event signal without any device involved. In every case, the result is the same: your MMP records a valid event, your ad network pays out, and your optimisation model learns from a fraudulent data point.
The long-term damage from in-app event fraud is structural. When your ROAS calculations include events that did not produce real revenue, your budget allocation decisions are made on false premises. You scale budgets toward channels that appear efficient because they generate high event volumes, without realising those events are synthetic. You pause or cut genuinely effective channels because their event volumes, being real, are lower by comparison. The optimisation signal that drives your entire UA strategy becomes unreliable, and correcting it requires unwinding months of decisions built on corrupted data.
How Tapper protects your in-app events on Mobile
Three steps from connection to clean campaign data, no engineering required.
01
Integrate Tapper with your MMP and ad networks
Tapper connects to your AppsFlyer, Adjust, Kochava, Singular, or Branch account and your UA ad networks, monitoring every install event and post-install event signal from the moment of integration.
02
Fake in-app events detected across all fraud vectors
Session behavioural analysis, device cluster detection, event timing patterns, and lifecycle scoring identify synthetic event sequences generated by click farms, device farms, and SDK spoofing, even when device-level signals appear genuine.
03
Your ad network bidding algorithms learn from real events only
Fraudulent events are excluded before they influence your campaign optimisation. Your ROAS calculations reflect genuine revenue-generating events, and your bidding algorithms allocate budget toward traffic sources that produce real users.
In-app events fraud by the numbers
Data from Tapper's platform analysis and published industry research.
28%
Of mobile installs are fraudulent, corrupting event data downstream
$10B
Lost to mobile ad fraud globally in 2023
40%
Of mobile fraud involves post-install event simulation
90%
SDK spoofing detection rate by Tapper across install and event signals
Tapper vs MMP Built-in Fraud Protection
See exactly where the gaps are, and why they matter to your campaign performance.
Post-install event fraud detection
Full session and event lifecycle analysis
Install-level checks only
Click farm event simulation
Device cluster and behavioural pattern scoring
Device ID blacklisting
SDK spoofing of in-app events
Proprietary behavioural session analysis
Device signal matching only
ROAS data protection
Fake events excluded before ROAS calculation
Fraudulent events included in ROAS reporting
Bidding algorithm protection
Optimisation signals anchored to real events
Fraudulent events corrupt bidding models
Cross-network event monitoring
All UA networks monitored in one dashboard
Single network or MMP view only
Detection speed
Under 3 seconds per event signal
Post-attribution batch review
Event-level fraud classification
Breakdown by event type, network, and fraud vector
Aggregate fraud rate estimates only
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
Trusted by leading brands worldwide
Frequently asked questions
Everything you need to know about protecting your in-app events on Mobile App.
Fraud operations use several methods. Click farms install your app on real devices and script the in-app interactions that trigger target events, completing onboarding flows, tapping through registration screens, or initiating shallow purchase flows. SDK spoofing operators generate both the install and the event signal at the server level without any device involved. Device automation tools on real hardware can replay event sequences at speed. Tapper analyses the full session lifecycle and event timing patterns to identify synthetic behaviour regardless of the method used.
Platforms like Google UAC and Meta optimise campaign delivery toward the in-app events you designate as conversion goals. When fraudulent events are included in the signal, the algorithm treats the traffic sources generating those events as high performers and allocates more budget toward them. The more fraudulent events accumulate, the more aggressively the algorithm directs spend toward fraud-heavy sources. Tapper removes this signal corruption by ensuring only genuine events influence your campaign optimisation.
Yes. While certain fraud techniques like click injection are primarily Android-specific, post-install event fraud using click farms, SDK spoofing, and device automation affects iOS campaigns as well. The techniques vary slightly because of the iOS sandbox environment, but the outcome, fake events entering your MMP and your bidding algorithms, is the same. Tapper monitors both platforms.
Events that trigger direct CPA payouts or that are used as optimisation goals by ad networks are the primary targets. These include registration completions, first purchase events, subscription initiations, and tutorial completions. Deeper events like repeat purchases or high-value transactions are less frequently faked because they require more complex simulation and the fraud economics are harder to sustain. Tapper monitors all event types across your funnel.
Tapper uses behavioural scoring across the full session lifecycle, not a binary fraud or not-fraud classification. Events are scored based on session depth, interaction timing variation, device cluster membership, network patterns, and event sequence coherence. Low-quality genuine users show natural behavioural variation even when their engagement is shallow. Fraudulent sessions show the uniformity and repetition characteristic of scripted or automated behaviour.
Other campaign types on Mobile App
Each campaign type has its own fraud patterns. Tapper covers them all on Mobile.
Stop paying for fraud on Mobile in-app events
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