Stop fake installs corrupting audiences that feed your Meta traffic campaigns
Fake install attribution in your Meta account contaminates the audience signals that can feed your traffic campaigns through cross-campaign retargeting and lookalike targeting. When fraudulent install profiles contaminate your Custom Audiences, your traffic campaigns reach audiences modelled on fake user data rather than genuine potential customers. Tapper cleans your install attribution to protect audience quality across your Meta campaign types.
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Fake install data contaminates the audience signals driving your Meta traffic campaign delivery
Advertisers who build their Meta traffic campaign targeting from audiences seeded by app install data are exposed to fake install contamination even when running traffic campaigns without a direct app objective. If your lookalike audiences for traffic campaigns are built from your app installer Custom Audience, and that Custom Audience contains fake install profiles, your traffic campaigns reach audiences modelled on fraudulent device and demographic data. The click quality, engagement rate, and downstream conversion potential of traffic delivered to these contaminated lookalike audiences will be systematically lower than your genuine prospect audience would produce.
The impact is compounded by the self-reinforcing nature of audience contamination. Traffic campaign clicks from lookalike audiences seeded with fake install data add new visitors to your website Custom Audience. If those visitors are low-quality due to audience contamination, they further degrade the data used to seed subsequent retargeting and lookalike campaigns. Each cycle of audience building and campaign delivery compounds the contamination, progressively reducing the quality of all audience-derived Meta campaign traffic.
How Tapper stops fake installs on Meta traffic campaigns
Three steps from connection to clean campaign data, no engineering required.
01
Identify fake install profiles in your app installer Custom Audiences
Tapper analyses your app install attribution data for fraud indicators including timing anomalies, post-install behaviour absence, and device cluster patterns that characterise fake installs, flagging contaminated profiles before they influence traffic campaign audiences.
02
Exclude fake installer profiles from traffic campaign audience seeds
Fraudulent install profiles are excluded from the Custom Audiences used to build lookalike models for your traffic campaigns, ensuring traffic campaign delivery is directed toward audiences modelled on genuine user data.
03
Improve traffic campaign audience quality and click relevance
With fake install contamination removed from your audience infrastructure, your traffic campaigns reach lookalike audiences modelled on real users, improving click quality, engagement rates, and the downstream conversion potential of your traffic campaign audiences.
Fake installs on Meta traffic campaigns by the numbers
Data from Tapper's platform analysis and published industry research.
25%
Of app installs from paid social are estimated fraudulent
11.4%
Average invalid traffic rate on Meta Ads
5-8%
Estimated fake or duplicate Meta accounts
2-3x
Retargeting audience quality improvement after fraud filtering
Tapper vs Meta's Built-in Filtering
See exactly where the gaps are, and why they matter to your traffic campaigns performance.
Fake install detection
Timing, velocity, and post-install behaviour analysis
No cross-campaign fake install impact detection
Custom Audience protection
Fake install profiles excluded from traffic campaign audience seeds
Fraudulent installs contaminate all derived Custom Audiences
Lookalike quality
Traffic campaign lookalikes seeded from clean install data only
Lookalikes contaminated by fake install profile characteristics
Cross-campaign audience integrity
Clean install data prevents contamination across all campaign types
Fake install contamination propagates through all audience-derived campaigns
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
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Frequently asked questions
Everything about fake installs on Meta Ads traffic campaigns.
The clearest indicator is a persistent gap between the click quality from traffic campaigns targeting app-installer-derived audiences versus traffic campaigns using other audience sources. If lookalike audiences built from your installer base produce lower engagement rates, higher bounce rates, and lower downstream conversion than other targeting approaches, fake install contamination is a likely contributor. Tapper provides fraud-adjusted audience quality scores that quantify the contamination impact.
If you are running any Meta app install campaigns, whether current or historical, and have used installer data as a Custom Audience seed for any traffic campaign targeting, fake install contamination may be present in your audience infrastructure. The contamination persists through saved audiences until the fraudulent install profiles are identified and removed. Tapper audits your existing audience data to identify contamination regardless of when the fake installs occurred.
Tapper addresses both. For existing contamination, Tapper analyses your historical install attribution data to identify fake install profiles that may already be in your Custom Audiences and flags them for exclusion from future audience builds. For ongoing protection, Tapper prevents new fake install profiles from entering your attribution data in real time. Both components are necessary for comprehensive audience quality restoration.
Other fraud types on Meta Ads traffic campaigns
Traffic campaigns campaigns face multiple fraud threats. Tapper protects against all of them.
Stop fake installs on your Meta traffic campaigns
Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.