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Google Ads
Fake installs

Stop fake installs on Google Ads

Invalid app installs generated through Google UAC campaigns inflate your install counts, drain your budget, and corrupt the in-app event data that Smart Bidding depends on.

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

Fake installs are corrupting your UAC optimisation signals

Universal App Campaigns optimise toward in-app events, which makes the quality of your install and post-install data critical. When invalid installs flood your MMP with fake attribution signals, the UAC algorithm interprets them as real user acquisition and continues bidding aggressively on the placements and audiences that generated them. The result is a self-reinforcing cycle where invalid installs attract more budget, which attracts more invalid installs.

Fake installs from Google Ads typically originate from emulated devices, device farms running scripts, or SDK spoofing frameworks that fire attribution postbacks without a genuine user ever downloading the app. Tapper integrates directly with your MMP to flag suspicious installs before their post-install events are reported back to Google, stopping the feedback loop before it distorts your UAC campaign performance.

How Tapper stops fake installs on Google

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

01

Intercept suspicious installs at MMP level

Tapper connects to your MMP and inspects install postbacks for device anomalies, impossible timing, emulator signatures, and click-to-install intervals that fall outside human behavior ranges.

02

Validate post-install engagement quality

Genuine users interact with apps in recognisable patterns. Tapper monitors session depth, feature engagement, and retention curves to distinguish organic-quality installs from invalid ones.

03

Block invalid events from reaching UAC signals

Flagged installs are excluded from the in-app event postbacks sent to Google Ads, keeping your UAC optimisation model trained only on data from users who actually engaged with your app.

Fake installs by the numbers

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

0%

Of app installs from UAC campaigns estimated as invalid globally

0 min

Median time for fake installs to complete post-install events

0x

Higher CPI on campaigns with undetected invalid installs

0%

UAC ROAS improvement reported after removing fake install signals

Tapper vs Google's Built-in Detection

See exactly where the gaps are, and why they matter to your bottom line.

Capability
Tapper
Google's Built-in Detection

MMP-level install validation

Integrates directly with leading MMPs to inspect installs before postback is sent

No MMP integration; relies on downstream signals after attribution is recorded

Device emulator detection

Identifies emulated device environments and rooted devices at attribution time

Limited emulator detection; device farm installs frequently pass standard checks

Click-to-install interval analysis

Flags installs with sub-human click-to-install times indicating scripted automation

No systematic click-to-install interval analysis surfaced to advertisers

Post-install engagement validation

Monitors in-app behavior after install to retroactively re-score attribution quality

No post-install behavioral analysis; invalid installs count permanently

Case studies

Leading brands growing with Tapper

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

Mindshare, a WPP Media Brand logo

13%

lower CPA

8.6%

higher order rate

“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

Read the case study→
WPP Media MENA logo

40%

higher conversion rate

“When we take low-quality traffic out of the funnel before it reaches the algorithm, the campaign optimises against cleaner signals and the efficiency comes through quickly. For AMA Nissan, that was a 40% lift in conversion rate and a lower CPA on Google, with nothing else in the setup changing. That is the kind of result we want to offer clients as a matter of course.”

Sohail Khan

Sohail Khan

Senior Performance Manager, WPP Media MENA

Disrupt.com logo

20%

lower CPA

Up to $50K

saved per year

“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

Trusted by leading brands worldwide

Infiniti
Dominos
TOEFL
STC
Public Group
Almosafer
Porsche

Frequently asked questions

Everything you need to know about stopping fake installs on Google Ads.

Tapper integrates via your MMP's postback URL configuration as an additional verification layer. It inspects install data in parallel with the standard attribution flow and applies flags without modifying timestamps or attribution windows. Integration with major MMPs takes under an hour and requires no SDK changes in your app.

Device farms using physical hardware are harder to detect than emulators but still leave patterns: identical hardware profiles appearing across thousands of installs, post-install event sequences that are scripted rather than exploratory, and retention curves that drop to zero immediately after the attributed event fires. Tapper's engagement quality scoring catches these patterns.

Yes, your raw install numbers will drop, but your cost-per-genuine-install and downstream ROAS will improve. UAC initially may reduce bids while it recalibrates on cleaner data, but within two to three weeks the algorithm converges on higher-quality audiences. Tapper's reporting shows genuine versus invalid install trends side by side so you can track the transition.

Worried about fake installs on other platforms?

See how Tapper stops fake installs across every major ad channel.
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Other invalid traffic types affecting Google Ads

Google campaigns face multiple invalid traffic vectors. Tapper covers them all.

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Stop fake installs on Google today

Join advertisers who stopped paying for traffic that was never real. Book a demo and we will show you exactly what Tapper blocks on your account.

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