Stop bot traffic on mobile app campaigns
Bot-generated clicks on your UA campaigns inflate CPIs, corrupt MMP attribution, and teach your ad network algorithms to optimise toward non-existent users.
Trusted by leading brands worldwide
Mobile bot traffic mimics real user behaviour more convincingly than ever
Modern mobile ad bots are not the crude automated scripts of a decade ago. Sophisticated bot networks simulate realistic device signals, vary click timing to match human patterns, and generate CTIT distributions designed to pass standard MMP fraud filters. They target CPI campaigns because each simulated install triggers a payout without requiring any real app engagement. An estimated 28% of mobile installs globally are fraudulent, with bot traffic accounting for a significant share.
The downstream cost of bot traffic goes beyond direct spend waste. When bots generate installs that enter your attribution data, they corrupt every cohort analysis downstream. Your LTV models, retention curves, and ROAS calculations are all built on a user base that includes users who never existed. UA decisions made on this data, scaling budgets toward channels or creatives with inflated apparent performance, compound the damage over time.
How Tapper stops bot traffic on Mobile
Three steps from connection to clean data, no engineering required.
01
Integrate Tapper with your MMP and ad networks
Tapper connects to your AppsFlyer, Adjust, Kochava, Singular, or Branch account and your UA campaign networks, monitoring every click and install event from the moment of integration.
02
Bot signals detected across the full install funnel
Device fingerprinting, behavioural analysis, velocity patterns, and session lifecycle checks identify bot-generated clicks and installs before they enter your attribution data.
03
LTV and ROAS data reflects real users only
With bots excluded, every install in your MMP represents a real user. Your cohort analyses, LTV models, and ROAS figures become reliable inputs for UA budget decisions.
Bot traffic by the numbers
Data from Tapper's platform analysis and published industry research.
0%
Of mobile installs are fraudulent globally
$0B
Lost to mobile ad fraud in 2023
0%
Of all mobile ad traffic is non-human
0%
SDK spoofing detection rate by Tapper
Tapper vs MMP Built-in Fraud Protection
See exactly where the gaps are, and why they matter to your bottom line.
Bot behavioural analysis
Full session lifecycle scoring
Device ID blacklisting only
Install-level fraud detection
Per-install fraud classification
CTIT threshold rules
LTV data protection
Bots excluded from cohort analysis
Fraudulent installs included in LTV
Detection speed
Under 3 seconds per click
Post-attribution batch review
Trusted by industry leaders
See how companies are protecting their ad budgets and improving ROI with Tapper.
“When we take low-quality traffic out of the funnel before it reaches the algorithm, the campaign optimises against cleaner signals and the efficiency comes through quickly. For AMA Nissan, that was a 40% lift in conversion rate and a lower CPA on Google, with nothing else in the setup changing. That is the kind of result we want to offer clients as a matter of course.”
Sohail Khan
Senior Performance Manager, WPP Media MENA
“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 bot traffic on Mobile App.
Advanced mobile bots randomise device IDs, vary click timing to match human CTIT distributions, and simulate app launch events that pass basic signal checks. They avoid known blacklisted IP ranges by routing through residential proxy networks. MMPs that rely solely on CTIT rules and device blacklists miss a large proportion of this traffic.
Yes. If your UA campaigns are optimised toward in-app events (level completions, purchases, registrations), bots that simulate these events will corrupt the optimisation signal. Your ad network algorithm allocates more budget toward the sources generating bot installs because they appear to produce the target events at scale.
Tapper updates its detection models continuously. New bot signatures observed across the network are incorporated into detection rules within hours. You benefit from cross-customer learning, meaning bot patterns identified on other mobile UA campaigns immediately improve protection on yours.
Worried about bot traffic on other platforms?
See how Tapper stops bot traffic across every major ad channel.Other fraud types affecting Mobile App
Mobile campaigns face multiple fraud vectors. Tapper covers them all.
Stop bot traffic on Mobile today
Join advertisers who stopped paying for traffic that was never real. Book a demo and we will show you exactly what Tapper blocks on your account.