Stop fake installs on Performance Max App campaigns
When Performance Max is used for app promotion, fake installs corrupt your cost-per-install metrics, poison the audience signals that drive Smart Bidding, and make your app campaign appear to perform far better than it actually does.
Trusted by leading brands worldwide
Fake installs teach Performance Max to optimize toward an audience that does not exist
Performance Max for app promotion runs across Google's full network: Search, Display, YouTube, Gmail, Play Store, and Discover, making it one of the broadest app install campaign types available. Smart Bidding for app campaigns learns from install signals to find new audiences likely to install and engage with your app. When fake installs are injected into that signal stream, Smart Bidding develops a model of your ideal user that is partially or entirely fictional. It then allocates budget toward audience segments resembling fraudulent installers, producing more fake installs and compounding the problem over time.
Fake install fraud on PMax app campaigns operates through several mechanisms. Click flooding generates hundreds of fraudulent clicks before a real user installs organically, intercepting attribution credit. Device farms use real physical devices to simulate genuine installs, complete with post-install events designed to pass basic fraud filters. Because PMax for apps is a single unified campaign with no channel-level breakdown, advertisers cannot easily identify which placements are producing fraudulent install volume without external tooling. Tapper integrates with your MMP to cross-reference install attribution against behavioral signals, identifying fraudulent installs before they corrupt your bidding model.
How Tapper stops fake installs on Google performance max
Three steps from connection to clean campaign data, no engineering required.
01
Cross-reference install attribution with behavioral signals
Tapper connects with your MMP to analyze every install attributed to your PMax app campaign, comparing attribution data against behavioral and device signals to identify fraudulent installs.
02
Flag fake installs before they reach Smart Bidding
Fraudulent installs are identified and excluded from the conversion signals your PMax campaign uses for Smart Bidding optimization, preventing the algorithm from learning toward fake audiences.
03
Clean your cost-per-install reporting
With fake installs removed, your CPI reflects the true cost of acquiring real users. Smart Bidding receives accurate audience signals and optimizes toward genuine high-value installers.
Fake installs on Google performance max by the numbers
Data from Tapper's platform analysis and published industry research.
26%
Of PMax clicks estimated to be invalid, exposing app campaigns to attribution fraud
43%
Of PMax advertisers have no fraud monitoring for app campaigns
3.1x
ROAS lift reported after removing fraud from PMax campaigns
0.1%
Tapper false positive rate on install attribution analysis
Tapper vs Google's Built-in Detection
See exactly where the gaps are, and why they matter to your performance max performance.
Fake install detection
Behavioral and device analysis cross-referenced with MMP attribution data
Basic device signal checks; real-device fake installs pass through
Smart Bidding audience protection
Excludes fraudulent installs from bidding model learning signals
All attributed installs influence Smart Bidding optimization
MMP integration
Works alongside AppsFlyer, Adjust, Kochava, Singular, and Branch
No integration with third-party MMP fraud analysis
Post-install event verification
Analyzes in-app events for fraud patterns beyond install level
Detection limited to install-time signals
CPI data accuracy
Reports true CPI from verified real installs only
CPI includes fake installs, understating true acquisition cost
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 about fake installs on Google Ads performance max.
PMax app campaigns use install signals to build an audience model for Smart Bidding. Every fake install tells the algorithm that a particular device type, demographic profile, or behavioral pattern is associated with app installation. Smart Bidding then seeks more users who resemble those fraudulent profiles, driving spend toward audiences that are unlikely to produce genuine users. The longer fake installs go undetected, the more deeply corrupted the bidding model becomes.
Yes. Tapper integrates with major mobile measurement partners including AppsFlyer, Adjust, Kochava, Singular, and Branch. For PMax app campaigns, Tapper adds an additional fraud detection layer that cross-references install attribution data against behavioral signals. This catches fraudulent installs that pass your MMP's built-in fraud filters, particularly device farm installs and attribution manipulation through click flooding.
Exactly. Fake installs inflate your install volume and reduce your reported cost-per-install, making the campaign appear to be achieving strong efficiency. This can lead to increased budget allocation toward a campaign that is actually producing few real users. When the fake installs are eventually removed from attribution, the true CPI is often significantly higher than what was reported, and the real user base is smaller than the install count suggested.
Other fraud types on Google Ads performance max
Performance Max campaigns face multiple fraud threats. Tapper protects against all of them.
Stop fake installs on your Google performance max
Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.