Mobile app install checks 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. Tapper checks every install and reinstall against four fraud rules.
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Invalid traffic on SaaS app UA corrupts trial conversion data and destroys CAC accuracy
SaaS mobile apps present a distinct invalid traffic profile: the value signal bad actors target is not just the install but the trial sign-up or account creation event that follows. 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 invalid installs and fake sign-ups. 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.
Invalid traffic also corrupts your onboarding funnel analysis. If invalid users enter your trial cohorts, your conversion rates from trial to paid appear artificially low because fake accounts never convert. Product and growth teams optimizing 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.
Tapper adds a separate check beside your MMP. It looks at four things on each install and reinstall: the time from click to install, whether a click was injected as the install began, a location that does not match the one your MMP reports, and installs from datacenter, VPN or proxy networks.
How Tapper checks your SaaS app installs
Three steps from connecting your MMP to seeing your installs in your dashboard.
01
Tapper works with the major mobile measurement partners and stores the installs and in-app events your MMP reports, each with its campaign and publisher.
02
Each install and reinstall is run through four rules: install timing, click injection, a location that does not match the one the MMP reports, and datacenter, VPN or proxy networks.
03
The Mobile tab of your Tapper dashboard shows your installs and in-app events by campaign and network. Your MMP data and your campaigns stay as they are.
What Tapper checks on every mobile install
How the mobile fraud rules work, in numbers.
4
Fraud rules checked on every install and reinstall
2
Install events checked: new installs and reinstalls
0
Changes to your MMP data, attribution or campaigns
Tapper vs your MMP alone
Role
A separate check beside your MMP
Tracks and credits installs
Install source
Installs and in-app events stored with campaign and publisher
Attribution inside the MMP
Fraud rules
Four rules on every install and reinstall
Depends on the MMP and its plan
Your MMP data
Never changed by Tapper
Kept as the MMP reports it
Frequently asked questions
Invalid 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 invalid traffic entering the top of the funnel.
Four rules on every install and reinstall: the time from click to install, click injection, a location that does not match the one your MMP reports, and installs from datacenter, VPN or proxy networks. Each install is stored with its campaign and publisher.
No. Your install counts, your attribution and your campaigns stay exactly as your MMP reports them, and Tapper runs its checks beside them.
No. Your MMP keeps tracking and crediting installs. Tapper sits beside it as a separate check on each install and reinstall.
Other industries on Mobile app
Common invalid traffic types targeting SaaS on Mobile app
See fraud in your SaaS app installs
Get a demo and we will show you how Tapper checks the installs on your account.

