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 optimize toward non-existent users.
Trusted by leading brands worldwide
Mobile bot traffic mimics real user behavior 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 invalid traffic 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 invalid, 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, behavioral 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.
28%
Of mobile installs are invalid globally
$10B
Lost to invalid mobile traffic in 2023
17%
Of all mobile ad traffic is non-human
90%
SDK spoofing detection rate by Tapper
Tapper vs MMP built-in invalid traffic removal
Bot behavioral analysis
Full session lifecycle scoring
Device ID blacklisting only
Install-level invalid traffic detection
Per-install invalid traffic classification
CTIT threshold rules
LTV data protection
Bots excluded from cohort analysis
Invalid installs included in LTV
Detection speed
Under 3 seconds per click
Post-attribution batch review
Leading brands growing with Tapper
See how companies are protecting their ad budgets and improving ROI with Tapper.
13%
lower CPA
8.6%
higher order rate
“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
14%
more conversions
11.4%
lower CPA
“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
40%
higher conversion rate
“When we take low-quality traffic out of the funnel before it reaches the algorithm, the campaign optimizes 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
Frequently asked questions
Advanced mobile bots randomize 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 optimized toward in-app events (level completions, purchases, registrations), bots that simulate these events will corrupt the optimization 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.Stop bot traffic on Mobile today
Join advertisers who stopped paying for traffic that was never real. Get a demo and we will show you exactly what Tapper blocks on your account.