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Fake installs

Stop fake installs on mobile app campaigns

Fake installs are the primary invalid traffic type for mobile UA, directly stealing CPI budget, corrupting MMP attribution, and destroying the LTV data your UA strategy depends on.

Trusted by leading brands worldwide

Tiffany & Co.
Adidas
Azadea
Punt Roma
Salsa Jeans
Sunglass Hut
Decathlon
Honda
Lexus
Mercedes-Benz
TOD
Toyota
Volvo
STC
Porsche
Almosafer
Infiniti
LEGOLAND
Cleveland Clinic
Nissan
Boggi Milano
Kiko Milano
Hyundai
Chevrolet
Aape
Kiabi
Maje Paris
Sandro
Ted Baker
ACE
Tawuniya
TOEFL
Regit
You.gr
Spitishop

Fake installs are the most direct form of mobile UA budget theft

Fake installs are the core mechanism of invalid mobile traffic. Every fake install triggers a CPI payout, draining budget that should be acquiring real users. Across the industry, 28% of mobile app installs are estimated to be invalid. On campaigns without active invalid traffic removal, UA managers are paying for installs from users who do not exist, never will engage with the app, and contribute nothing to revenue. The only beneficiary is the bad actor collecting the CPI payment.

Fake installs enter attribution data through three main routes. SDK spoofing simulates installs without any device involvement. Device farms generate installs on real hardware. Click injection intercepts organic installs and attributes them to invalid sources. Each method produces different signal patterns but the same outcome: your MMP records an install, your CPI model pays out, and your cohort data is contaminated. LTV projections built on cohorts that include fake users will consistently overestimate engagement and revenue, leading to budget decisions that cannot be justified by real outcomes.

How Tapper stops fake installs on Mobile

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

01

Connect Tapper to your MMP and UA campaigns

Tapper integrates with AppsFlyer, Adjust, Kochava, Singular, Branch, and your ad network accounts. Every install event is monitored from the moment of integration.

02

Fake installs identified across all invalid traffic vectors

SDK spoofing signatures, device farm clusters, click injection patterns, and CTIT anomalies are all analyzed simultaneously. No single technique is assessed in isolation.

03

Your CPI reflects real users and your LTV data is clean

Fake installs are excluded before entering your attribution data. Your reported CPI is anchored to genuine installs and your LTV models reflect actual user behavior.

Fake installs by the numbers

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

28%

Of mobile installs are invalid globally

$10B

Lost to invalid mobile traffic in 2023

40%

Of invalid mobile traffic uses SDK spoofing to fake installs

90%

SDK spoofing detection rate achieved by Tapper

Tapper vs MMP built-in invalid traffic removal

Capability
Tapper
MMP built-in invalid traffic removal

SDK spoofing detection

Tapper

Proprietary behavioral session analysis

MMP built-in invalid traffic removal

Device signal matching only

Click injection detection

Tapper

Anomalous CTIT and click pattern analysis

MMP built-in invalid traffic removal

Basic CTIT threshold rules

Device farm identification

Tapper

Device cluster and network analysis

MMP built-in invalid traffic removal

Device ID blacklisting

LTV data protection

Tapper

Fake installs excluded from cohorts

MMP built-in invalid traffic removal

Invalid installs included in LTV models

Case studies

Leading brands growing with Tapper

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

Frequently asked questions

Tapper provides install-level invalid traffic classification so you can see the exact proportion of installs flagged per campaign, network, and creative. Most UA managers without active invalid traffic removal are surprised to find that 20-40% of installs on some ad networks are invalid. Tapper gives you the breakdown by invalid traffic type so you can identify which networks and sources to deprioritize.

Click injection is when a malicious app on the user's device detects when another app is being installed from the Play Store and fires an invalid click immediately before the install completes. This ensures the invalid source appears as the last touch in the attribution window and claims the CPI payment for an install that was actually organic or driven by a legitimate channel. Tapper identifies the anomalous CTIT patterns that characterize click injection.

Your install counts will fall and your CPI will initially appear higher, because you are now measuring only real users. But your downstream metrics, retention, LTV, ROAS, will improve as your data is no longer diluted by fake users. The installs you counted before were not generating revenue; removing them from your data gives you an accurate picture to make better budget decisions.

Worried about fake installs on other platforms?

See how Tapper stops fake installs across every major ad channel.
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Stop fake installs on Mobile today

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