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Stop ad fraud on mobile app install campaigns

Fraudulent clicks, fake installs, and SDK spoofing drain your CPI budget before real users ever see your app. Tapper detects and blocks invalid traffic across all UA networks so every install you pay for is genuine.

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Trusted by leading brands worldwide

Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Parfums de Marly
Cleveland Clinic
Public Group
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop
Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Parfums de Marly
Cleveland Clinic
Public Group
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop

App install campaigns attract more fraud than almost any other mobile ad format

App install campaigns operate on a cost-per-install model, which means every fraudulent install directly extracts money from your UA budget. Fraud operators target CPI campaigns because the payout is clear, the signal is easy to fake at the device level, and most MMPs lack the behavioural analysis required to distinguish real installs from spoofed ones. Industry estimates place fraudulent installs at 28% of all mobile installs globally, meaning that on an unprotected campaign, nearly one in three installs you pay for may never involve a real user.

The damage extends beyond direct budget theft. When fake installs enter your attribution data, every downstream metric is distorted. Your CPIs look acceptable because the raw install count is inflated. Your LTV models are built on cohorts that include users who do not exist. Your bidding algorithms on Google UAC, Meta, Apple Search Ads, and other networks learn from this polluted signal, and optimise toward the sources generating the most fraud rather than the most genuine users. The longer fraudulent installs accumulate in your data, the more difficult it becomes to trust any performance metric.

Standard MMP fraud protection relies primarily on CTIT thresholds, device ID blacklists, and known bad actor databases. These rules catch unsophisticated fraud but miss the techniques most commonly used at scale today. SDK spoofing, which accounts for 40% of mobile fraud, produces device signals that are indistinguishable from real installs at the level MMPs inspect. Click injection and click stuffing manipulate the attribution window before CTIT rules trigger. Device farms use genuine hardware that passes device ID checks. Protecting app install campaigns requires a layer of analysis that goes beyond what any MMP provides natively.

How Tapper protects your app install on Mobile

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

01

Connect your MMP and UA campaign accounts

Tapper integrates directly with AppsFlyer, Adjust, Kochava, Singular, Branch, and your ad networks including Google UAC, Meta, Apple Search Ads, and others. Every click and install event is monitored from the moment integration is live.

02

Fraud signals detected across the full install funnel

SDK spoofing signatures, click injection patterns, device farm clusters, CTIT anomalies, and velocity signals are all analysed simultaneously. Tapper combines device-level and behavioural analysis to catch fraud that passes standard MMP checks.

03

Only genuine installs reach your attribution data

Fraudulent installs and clicks are excluded before they enter your MMP. Your CPI figures reflect real users, your bidding algorithms learn from clean data, and your LTV models are built on cohorts that actually exist.

App install fraud by the numbers

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

28%

Of mobile app installs are fraudulent globally

$10B

Lost to mobile ad fraud globally in 2023

40%

Of mobile fraud uses SDK spoofing to generate fake installs

90%

SDK spoofing detection rate achieved by Tapper

Tapper vs MMP Built-in Fraud Protection

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

Capability
Tapper
MMP Built-in Fraud Protection

SDK spoofing detection

Full session lifecycle behavioural analysis

Device signal matching only

Click injection detection

Anomalous CTIT and pattern analysis

Basic CTIT threshold rules

Device farm identification

Device cluster and network behaviour scoring

Device ID blacklisting only

LTV data protection

Fake installs excluded from cohort analysis

Fraudulent installs included in LTV models

Cross-network visibility

All UA networks monitored in one dashboard

Single MMP network view

Detection speed

Under 3 seconds per click or install event

Post-attribution batch review

Attribution accuracy

Only genuine installs credited in your MMP

Fraudulent installs inflate reported CPI

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

Joseph Elbcherrawy

Client Leadership Director, Mindshare, a WPP Media Brand

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

David Barnes

Data & Technology Lead, Omnicom Group

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

Dimitris Bakas

Senior Performance Marketing, Public Group

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

Stuart Parkin

Director of Operations, Regit

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

Reno Mindemann

Head of Growth, Kama Capital

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

Nurkan Kirkan

GTM Consultant / Paid Growth, Disrupt.com

Disrupt.com

Trusted by leading brands worldwide

Infiniti
Dominos
TOEFL
STC
Public Group
Almosafer
Porsche

Frequently asked questions

Everything you need to know about protecting your app install on Mobile App.

Tapper provides install-level fraud classification with a breakdown by campaign, network, creative, and fraud type. Most UA managers without active fraud protection find that 20 to 40% of installs on some networks are fraudulent. After connecting Tapper to your MMP, you can see the exact proportion of fraudulent installs within the first 24 hours of monitoring.

MMPs inspect device-level signals to verify installs. Sophisticated fraud techniques, particularly SDK spoofing, replicate those signals accurately enough to pass MMP checks. Tapper analyses the behavioural pattern of the full session, including timing variation, event sequencing, and session depth, which fraudsters cannot replicate with the same fidelity as device signals.

Yes. Tapper integrates with all major UA networks and monitors click and install traffic across all of them from a single dashboard. You get unified fraud visibility regardless of how many networks your campaigns run on.

Blocking fraud does not affect legitimate campaign delivery. Your ads continue to run and your ad networks continue to serve impressions to real users. The only change is that invalid clicks and fake installs are excluded from your attribution data and your CPI payout model, so your reported metrics reflect genuine performance.

Your install count will fall to reflect only real users. Your CPI may initially appear higher because the denominator is smaller. But your downstream metrics, retention, revenue, ROAS, will improve because they are no longer diluted by users who do not exist. The installs you were counting before were not generating revenue; the ones Tapper confirms are.

Click injection is primarily an Android issue because it exploits the Play Store install broadcast. On iOS, the equivalent risk is click stuffing and CTIT manipulation, where fraudsters flood tracking links with clicks timed to coincide with organic installs. Tapper monitors both Android and iOS campaigns and applies the relevant detection models for each platform.

Other campaign types on Mobile App

Each campaign type has its own fraud patterns. Tapper covers them all on Mobile.

In-app events

Protection on Mobile

Stop paying for fraud on Mobile app install

Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.

Book a demoAll Mobile protection