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Mobile app ad fraud protection for SaaS

Fake trial sign-ups, SDK-spoofed installs, and bot-driven clicks waste your mobile UA budget and corrupt the user quality data that drives SaaS pricing and onboarding decisions.

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Trusted by leading brands worldwide

Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Parfums de Marly
Cleveland Clinic
Public Group
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop
Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Parfums de Marly
Cleveland Clinic
Public Group
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop

SaaS app UA fraud corrupts trial conversion data and destroys CAC accuracy

SaaS mobile apps present a distinct fraud profile: the value signal fraudsters target is not just the install but the trial sign-up or account creation event that follows. Because SaaS UA campaigns are frequently optimised toward in-app events like registration completion, feature activation, and free-to-paid conversion, fraudsters simulate exactly these actions to trigger CPA payouts and pass quality threshold filters. Your analytics show trial registrations. Your sales pipeline shows no real prospects because the users never existed.

The impact on customer acquisition cost calculations is severe. CAC for mobile-acquired SaaS users is calculated against a denominator that includes fraudulent installs and fake sign-ups. When those events are removed, your true CAC for mobile channels is often 30 to 50 percent higher than reported, making what appeared to be an efficient mobile growth channel look significantly less attractive. UA managers scaling mobile spend based on inflated conversion rate data are making decisions that cannot be justified by the revenue those users will generate.

Fraud also corrupts your onboarding funnel analysis. If fraudulent users enter your trial cohorts, your conversion rates from trial to paid appear artificially low because fake accounts never convert. Product and growth teams optimising the onboarding flow based on this data may make unnecessary changes to funnels that are actually performing well, while the real problem is the quality of users entering the top of the funnel.

How Tapper protects saas advertisers on Mobile

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

01

Connect Tapper to your MMP and SaaS UA campaigns

Tapper integrates with your MMP and the ad networks running your mobile app install and re-engagement campaigns, monitoring every click, install, and sign-up event from the moment of integration.

02

Fake installs and simulated sign-up events identified

SDK spoofing signatures, bot-driven session patterns, and simulated registration events are flagged before they enter your attribution data or trigger CPA payouts tied to trial sign-ups.

03

CAC and trial conversion data reflect real users

With fraudulent installs and fake sign-ups excluded, your mobile CAC is calculated against genuine prospects. Trial-to-paid conversion rates, onboarding funnel data, and channel ROAS reflect actual user behaviour, not fraud.

Ad fraud in saas by the numbers

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

28%

Of mobile installs are fraudulent on average

40%

Of mobile fraud uses SDK spoofing to fake sign-up events

$10B

Lost to mobile ad fraud globally in 2023

30-50%

CAC underestimate typical without install fraud protection

IVT Calculator

How much are you losing to click fraud?

Based on a 19% fraud rate for SaaS on Mobile App. Move the slider to see your estimated monthly loss.

Industry

SaaS

19% fraud rate

Monthly spend

$1,000

Avg. cost per install (CPI) (optional)

Your estimated numbers


Monthly fraud loss

$190


Annual fraud loss

$2,280


Monthly budget recovered with Tapper

$162


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Tapper vs MMP Built-in Fraud Protection

See exactly where the gaps are, and why they matter to your saas campaigns.

Capability
Tapper
MMP Built-in Fraud Protection

SDK spoofing detection

Full session lifecycle behavioural analysis

Device signal matching only

Simulated sign-up event detection

Post-install event behavioural scoring

Install-level checks only

CAC data accuracy

Fraudulent installs excluded from conversion counts

Fake installs included in CAC calculation

Trial cohort integrity

Real trial users only in cohort analysis

Fraudulent sign-ups distort trial data

Detection speed

Under 3 seconds per click and install

Post-attribution batch review

Cross-network campaign coverage

All UA networks monitored simultaneously

Single MMP view only

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

Joseph Elbcherrawy

Client Leadership Director, Mindshare, a WPP Media Brand

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

David Barnes

Data & Technology Lead, Omnicom Group

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

Dimitris Bakas

Senior Performance Marketing, Public Group

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

Stuart Parkin

Director of Operations, Regit

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

Reno Mindemann

Head of Growth, Kama Capital

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

Nurkan Kirkan

GTM Consultant / Paid Growth, Disrupt.com

Disrupt.com

Trusted by leading brands worldwide

Infiniti
Dominos
TOEFL
STC
Public Group
Almosafer
Porsche

Frequently asked questions

Everything you need to know about protecting saas ad spend on Mobile App.

Fraudulent installs generate fake trial accounts that never convert to paid subscriptions. When these fake accounts are included in your trial cohort, the conversion rate from trial to paid appears lower than it actually is among real users. Product teams may conclude that onboarding or the product itself is the problem, when the real issue is fraudulent traffic entering the top of the funnel.

Mobile app install campaigns on ad networks offer predictable CPI payouts and, increasingly, CPA payouts tied to in-app events like sign-ups. Fraudsters optimise toward these payout structures. Mobile attribution is also more complex than web attribution, giving fraudsters more opportunities to exploit tracking windows and attribution logic in ways that are harder to detect with standard MMP tools.

Yes. Tapper analyses the full session lifecycle including post-install events. Simulated sign-up flows, where fraudulent operations script registration interactions on real or spoofed devices, exhibit behavioural signatures that differ from genuine user sessions. Tapper flags these events before they trigger CPA payouts or enter your analytics.

CAC is calculated by dividing UA spend by the number of acquired customers. When fraudulent installs are counted as acquired users in the denominator, CAC appears lower than it truly is. The installs paid for never become customers, so the revenue models built on inflated acquisition efficiency will consistently underperform. Removing fraud from your attribution data gives you an accurate CAC to model payback periods and growth economics.

Tapper works alongside your existing MMP. It does not replace AppsFlyer, Adjust, Kochava, Singular, Branch, or any other attribution platform. Tapper adds a fraud detection layer that filters invalid events before they enter your MMP attribution data. Your MMP continues to function as the source of attribution truth, but with cleaner inputs.

Protect other industries on Mobile App

Tapper covers fraud protection for every major vertical on Mobile.

E-commerce

Protection on Mobile

Stop paying for fraud on your saas campaigns

Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.

Book a demoAll Mobile protection