Mobile app ad fraud protection for healthcare
Fake installs and fraudulent registration events on healthcare app campaigns waste acquisition budget, corrupt patient engagement data, and undermine the trust metrics your platform depends on.
Trusted by leading brands worldwide
Healthcare app UA fraud inflates registration counts and corrupts patient engagement analytics
Healthcare apps, including telehealth platforms, pharmacy apps, mental health services, and patient management tools, operate in a context where the quality of acquired users is more important than volume. A fake install on a healthcare app does not just waste UA budget; it contaminates the patient engagement, clinical outcome, and usage analytics that healthcare platforms use to demonstrate value to providers, insurers, and regulators. Fraudulent installs that simulate registration and appointment booking events create phantom patient populations in analytics systems, misrepresenting the reach and impact of digital health services.
The stakes are elevated when healthcare apps are funded or measured against patient acquisition targets by NHS trusts, insurance providers, or healthcare system partners. If fraud inflates registered user counts or appointment booking metrics, the platform appears to be delivering clinical engagement it is not achieving. Partners and funders making resource allocation decisions on the basis of these metrics are working from data that does not reflect real patient behaviour. The reputational and contractual risk when this is discovered is significant.
Post-install event fraud in healthcare specifically targets registration completion, appointment booking initiation, and prescription request events, all of which are used as success metrics in healthcare app partnerships and commissioning arrangements. Fraudsters simulate the specific event sequences that trigger performance-based payments in health tech partnerships. Tapper identifies these simulated clinical engagement events and excludes them before they reach your analytics or trigger payment milestones.
How Tapper protects healthcare advertisers on Mobile
Three steps from connection to clean data, no engineering required.
01
Connect Tapper to your MMP and healthcare app UA campaigns
Tapper integrates with your MMP and the ad networks running your healthcare app install and patient acquisition campaigns, monitoring all click and install traffic from day one.
02
Fake installs and simulated clinical engagement events identified
SDK spoofing signatures, device farm cluster analysis, and simulated registration and booking events are flagged before they enter your patient analytics or trigger any performance-based reporting obligations.
03
Patient engagement data reflects real users and real clinical activity
With fraudulent installs and simulated events excluded, your registered user counts, appointment booking rates, and engagement metrics reflect genuine patient populations. Reporting to partners and funders is based on accurate data.
Ad fraud in healthcare by the numbers
Data from Tapper's platform analysis and published industry research.
28%
Of mobile installs are fraudulent on average
$10B
Lost to mobile ad fraud globally in 2023
40%
Of mobile fraud uses SDK spoofing to simulate post-install events
$3.60
Returned for every $1 invested in mobile fraud protection
How much are you losing to click fraud?
Based on a 12% fraud rate for Healthcare on Mobile App. Move the slider to see your estimated monthly loss.
Industry
Healthcare
12% fraud rate
Monthly spend
$1,000
Avg. cost per install (CPI) (optional)
Your estimated numbers
Monthly fraud loss
$120
Annual fraud loss
$1,440
Monthly budget recovered with Tapper
$102
Tapper vs MMP Built-in Fraud Protection
See exactly where the gaps are, and why they matter to your healthcare campaigns.
SDK spoofing detection
Full session lifecycle behavioural analysis
Device signal matching only
Simulated appointment event detection
Post-install event behavioural scoring
Install-level checks only
Registered user count accuracy
Fraudulent installs excluded from patient counts
Fake registrations inflate user metrics
Partner reporting data integrity
Clean engagement data for funder and insurer reporting
Fraud-inflated counts enter reporting pipelines
Device farm detection
Cross-device cluster and network analysis
Device ID blacklisting only
Detection speed
Under 3 seconds per click and install event
Post-attribution batch review
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 protecting healthcare ad spend on Mobile App.
Healthcare apps are measured not just on install volume but on patient engagement quality, clinical outcomes, and usage rates that feed into provider, insurer, and regulatory reporting. Fraudulent installs that inflate registered user counts or simulate engagement events create phantom patient populations in reporting systems, potentially misrepresenting the clinical reach of a digital health service to partners making commissioning and funding decisions.
Yes. Health tech partnerships structured around patient registration, appointment booking, or prescription request milestones are at risk when those events can be simulated by fraud operations. Fraudsters targeting healthcare apps specifically study the event structures that trigger performance payments and replicate them. Tapper identifies simulated clinical engagement events and prevents them from triggering milestone reporting.
Tapper operates at the click, install, and post-install event level through your MMP integration. No patient health records, clinical data, or personally identifiable health information is required or accessed. The integration works with anonymous device-level attribution signals that do not involve patient data, keeping detection operations fully separate from clinical data governance.
Fraudulent installs that simulate engagement events distort every downstream metric: retention curves, session frequency, feature adoption rates, and clinical pathway completion rates all appear worse than they are because the cohort includes fake users who contribute no real engagement. Product teams may over-invest in improving features that are actually performing well for real users, while the fundamental problem is the quality of installs entering the funnel.
Yes. When fraudulent installs are excluded, the cost per genuine registered patient and the true cost per clinical engagement event rise initially, because the denominator contains only real users. But the accuracy of the reporting improves significantly. Funders and commissioners working from clean data make better resource allocation decisions, and the health tech platform demonstrates more credible engagement outcomes aligned with real patient populations.
Protect other industries on Mobile App
Tapper covers fraud protection for every major vertical on Mobile.
Stop paying for fraud on your healthcare campaigns
Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.