Mobile app ad fraud protection for e-commerce
Fake installs, SDK spoofing, and click farm traffic drain your UA budget and corrupt the LTV models your e-commerce app depends on to acquire high-value shoppers.
Trusted by leading brands worldwide
E-commerce app UA fraud inflates CPI and destroys purchase attribution accuracy
E-commerce apps are among the highest-value targets for mobile ad fraud because CPI payouts are large and post-install purchase events are lucrative attribution targets. Fraudsters running SDK spoofing and device farm operations specifically target e-commerce UA campaigns, simulating not only installs but early in-app behaviours like product browsing and add-to-cart events to pass quality filters and trigger performance-based payouts. Your MMP records what appears to be a high-intent user. The purchase never happens because the user never existed.
The damage is compounded when fraud contaminates your retargeting audiences. If fake installs enter your user database, retargeting campaigns built on lookalike audiences derived from that database will target users who resemble fraudulent profiles rather than real shoppers. Your acquisition cost rises, your conversion rates fall, and the source of the underperformance is invisible until you examine the quality of the underlying install data. E-commerce brands running UA without active install-level fraud detection are building growth strategies on corrupted foundations.
Purchase attribution fraud adds another layer of risk specific to e-commerce. Click injection and click stuffing attacks intercept conversions that would otherwise be attributed to organic or high-performing paid channels, redirecting CPI and CPA payouts to fraudulent operators. Your top-performing channels appear less effective than they are, and budget decisions made on this data consistently undervalue your best sources of real shoppers.
How Tapper protects e-commerce advertisers on Mobile
Three steps from connection to clean data, no engineering required.
01
Connect Tapper to your MMP and e-commerce ad networks
Tapper integrates with AppsFlyer, Adjust, Kochava, Singular, and Branch and connects to your UA networks and retargeting platforms, monitoring every click, install, and post-install event from day one.
02
Fake installs and purchase event fraud identified in real time
SDK spoofing signatures, device farm cluster analysis, click injection patterns, and simulated in-app event detection flag fraudulent activity before it contaminates your attribution data or triggers purchase-based payouts.
03
Clean LTV data drives accurate UA budget decisions
With fraudulent installs and events excluded, your LTV models reflect real shoppers. CPI benchmarks, retargeting audience quality, and ROAS figures are anchored to genuine user behaviour, so your UA budget reaches the customers who will actually buy.
Ad fraud in e-commerce by the numbers
Data from Tapper's platform analysis and published industry research.
$10B
Lost to mobile ad fraud globally in 2023
28%
Of mobile installs are fraudulent on average
40%
Of mobile fraud uses SDK spoofing techniques
$3.60
Saved for every $1 spent on mobile fraud protection
How much are you losing to click fraud?
Based on a 17% fraud rate for E-commerce on Mobile App. Move the slider to see your estimated monthly loss.
Industry
E-commerce
17% fraud rate
Monthly spend
$1,000
Avg. cost per install (CPI) (optional)
Your estimated numbers
Monthly fraud loss
$170
Annual fraud loss
$2,040
Monthly budget recovered with Tapper
$145
Tapper vs MMP Built-in Fraud Protection
See exactly where the gaps are, and why they matter to your e-commerce campaigns.
SDK spoofing detection
Full session lifecycle behavioural analysis
Device signal matching only
Post-install event fraud
Simulated purchase and browse events flagged
Install-level checks only
Click injection detection
Anomalous CTIT and click pattern analysis
Basic CTIT threshold rules
Retargeting audience protection
Fake installs excluded from audience segments
Fraudulent installs pollute audience data
LTV data integrity
Cohorts contain real shoppers only
Fraudulent installs included in LTV models
Cross-network visibility
All UA and retargeting networks in one dashboard
Single MMP network view
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 e-commerce ad spend on Mobile App.
E-commerce apps offer fraudsters two payouts: the initial CPI for the install and potential CPA payouts tied to in-app purchase events. Fraudsters invest in simulating both to maximise revenue per campaign targeted. Higher-spending categories like fashion, electronics, and grocery apps attract proportionally more sophisticated fraud operations because the per-install value is greater.
LTV models are built on cohort behaviour, specifically the purchase frequency, average order value, and retention of users acquired through each channel. When fraudulent installs are included in those cohorts, the model is trained on a user base that mixes real shoppers with non-existent ones. The result is LTV predictions that overestimate revenue potential and drive budget allocation toward fraud-heavy channels.
Yes. If fake installs enter your user database, retargeting audiences built from that data will include fraudulent profiles. Lookalike audiences derived from a polluted base will target users who resemble fraudulent install patterns rather than your best customers. Tapper excludes fraudulent installs from attribution data, keeping your audience segments clean.
Click injection is when a malicious app on a user's device detects an incoming install from the app store and fires a fraudulent click immediately before the install completes, claiming the attribution credit and the CPI or CPA payout. For e-commerce apps, this means conversions driven by organic discovery or high-performing paid channels are systematically misattributed to fraudulent sources. Tapper identifies click injection through anomalous CTIT distributions.
Tapper sits alongside your existing MMP, whether that is AppsFlyer, Adjust, Kochava, Singular, or Branch, without replacing it. Integration connects to your campaign tracking links and MMP account to monitor the click and install signal chain. No changes to your existing attribution setup are required. You continue to use your MMP as normal, with Tapper filtering fraudulent events before they enter your attribution data.
Protect other industries on Mobile App
Tapper covers fraud protection for every major vertical on Mobile.
Stop paying for fraud on your e-commerce campaigns
Book a demo and we will show you exactly what Tapper would block on your account, before you commit to anything.