Meta Ads

Fake installs

Stop fake installs on Meta Ads

Meta Ads app install campaigns are targeted by fraud networks that generate fake installs to collect cost-per-install payouts, corrupting your MMP data and poisoning the conversion signals that feed Meta's campaign optimisation.

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Trusted by leading brands worldwide

Fake installs on Meta corrupt your MMP and your campaign algorithm simultaneously

Meta Ads app install campaigns are optimised using the conversion signals fed back from your mobile measurement partner. When fake installs are attributed to your Meta campaigns, your MMP reports inflated install counts and Meta's algorithm receives false positive signals, instructing it to find more users who behave like the fraudulent installers. This creates a self-reinforcing loop where your campaign optimises toward audiences more likely to generate further fake installs rather than genuine engaged users.

Fraudulent install operations use device farms and click flooding to generate installs that appear legitimate. Click flooding fires thousands of fake clicks against your tracking links, ensuring a high statistical probability that a fraudulent click appears as the last touch before any organic install. More sophisticated operations use device farms, real phones executing scripted install sequences that pass device-signal-based MMP fraud filters. Your cost-per-install figures are inflated and your campaign learnings are built on fiction.

How Tapper stops fake installs on Meta

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

Integrate with your MMP and Meta Ads account

Tapper connects to your mobile measurement partner and monitors Meta click traffic, analysing every click for install fraud indicators before attribution is recorded.

Click flooding and device farm patterns detected

Velocity analysis, click-to-install timing, and device cluster signatures identify fraudulent install attribution attempts and flag them before MMP records are updated.

Keep Meta's algorithm learning from real installs

With fake installs excluded from your attribution data, Meta's optimisation engine learns from genuine user behaviour, improving install quality and reducing cost-per-engaged-user.

Fake installs by the numbers

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

11.4%

Average invalid traffic rate on Meta Ads

5-8%

Estimated fake or duplicate Meta accounts

37%

Of lead form submissions are fraudulent (industry avg)

2-3x

Lookalike quality improvement after fraud filtering

Tapper vs Meta's built-in filtering

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

Capability

Tapper

Meta's built-in filtering

Click flooding detection

Velocity and timing analysis per click

Not detected at click level

Device farm identification

Cluster and session pattern analysis

Device signals only, bypassed by real devices

MMP attribution protection

Flags fraudulent installs before MMP records

No integration with MMP attribution layer

Algorithm signal protection

Keeps install signals genuine for Meta optimisation

Fake install signals enter campaign optimisation

Success stories

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 you need to know about stopping fake installs on Meta Ads.

Meta's app install campaigns use a machine learning model that identifies users similar to those who have already installed your app. When fake installs are reported back as conversions, the algorithm models on fraudulent user profiles and seeks audiences that resemble those profiles, progressively degrading the quality of users your ads reach.

MMPs provide a layer of fraud detection, but sophisticated operations, particularly device farms using real hardware, are designed to pass MMP checks. Tapper adds detection at the click level, before attribution is recorded, catching fraud patterns that MMP post-install analysis misses, particularly click flooding and high-velocity traffic bursts.

Tapper analyses the time between click and install, the volume of clicks from the same device or IP cluster within short windows, and the ratio of clicks to installs across traffic sources. Click flooding produces distinctive statistical patterns: abnormally high click volumes with install rates that exceed expected organic conversion rates for the traffic volume.