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Fake installs

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 invalid install profiles contaminate your Custom Audiences, your traffic campaigns reach audiences modeled 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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Spitishop

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 modeled on fake 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 analyzes your app install attribution data for invalid install indicators including timing anomalies, post-install behavior absence, and device cluster patterns that characterize fake installs, flagging contaminated profiles before they influence traffic campaign audiences.

02

Exclude fake installer profiles from traffic campaign audience seeds

Invalid 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 modeled 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 modeled 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 invalid

11.4%

Average invalid traffic rate on Meta Ads

5-8%

Estimated fake or duplicate Meta accounts

2-3x

Retargeting audience quality improvement after invalid traffic filtering

Tapper vs Meta's built-in filtering

Capability
Tapper
Meta's built-in filtering

Fake install detection

Tapper

Timing, velocity, and post-install behavior analysis

Meta's built-in filtering

No cross-campaign fake install impact detection

Custom Audience protection

Tapper

Fake install profiles excluded from traffic campaign audience seeds

Meta's built-in filtering

Invalid installs contaminate all derived Custom Audiences

Lookalike quality

Tapper

Traffic campaign lookalikes seeded from clean install data only

Meta's built-in filtering

Lookalikes contaminated by fake install profile characteristics

Cross-campaign audience integrity

Tapper

Clean install data prevents contamination across all campaign types

Meta's built-in filtering

Fake install contamination propagates through all audience-derived campaigns

Case studies

Leading brands growing with Tapper

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

Frequently asked questions

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 audience quality scores adjusted for invalid installs 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 invalid 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 analyzes 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.

Stop fake installs on your Meta traffic campaigns

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