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Click stuffing

Click stuffing fraud on mobile app retargeting campaigns

Click stuffing on retargeting campaigns floods your re-engagement tracking links with fraudulent clicks to steal attribution credit for organic lapsed user returns. Tapper detects click stuffing patterns in retargeting campaigns and restores accurate re-engagement attribution.

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Adidas
Azadea
Punt Roma
Salsa Jeans
Sunglass Hut
Virgin Megastore
Decathlon
Honda
Lexus
Toyota
Volvo
Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Cleveland Clinic
Public Group
Nissan
Boggi Milano
Kiko Milano
Hyundai
Chevrolet
Aape
Kiabi
Watsons
Maje Paris
Sandro
Ted Baker
ACE
Tawuniya
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop
Adidas
Azadea
Punt Roma
Salsa Jeans
Sunglass Hut
Virgin Megastore
Decathlon
Honda
Lexus
Toyota
Volvo
Dominos
STC
Porsche
Almosafer
Infiniti
Marks & Spencer
LEGOLAND
du
Cleveland Clinic
Public Group
Nissan
Boggi Milano
Kiko Milano
Hyundai
Chevrolet
Aape
Kiabi
Watsons
Maje Paris
Sandro
Ted Baker
ACE
Tawuniya
Magrabi Retail Group
DKNY
SACO
TOEFL
Regit
Kama
Arabian Dyar
ITE Events
You.gr
Spitishop

Click stuffing steals re-engagement attribution from organic and legitimate retargeting sources

Click stuffing on mobile retargeting campaigns exploits the attribution model in the re-engagement context: fraudulent networks flood your re-engagement tracking links with clicks, ensuring that when a genuine lapsed user returns to your app through organic discovery or notification, a fraudulent click appears as the last touch before re-engagement and claims the CPA payout. Your organic re-engagement and your genuine retargeting channels both lose credit; the click stuffing source claims payment for a user return it played no part in driving.

Retargeting click stuffing has a specific property that makes it particularly disruptive: it is harder to detect through simple CTIT analysis alone because lapsed users naturally have longer and more variable click-to-re-engagement windows than first-time install users. The wider re-engagement attribution window gives click stuffing operations more time to place fraudulent clicks before a genuine return event, and the variability in genuine CTIT makes anomalous patterns harder to identify with simple threshold rules. Tapper uses distribution-level analysis across click populations from each source rather than individual CTIT thresholds, identifying click stuffing signatures at the source level even when individual click timing falls within legitimate ranges.

How Tapper stops click stuffing on Mobile retargeting

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

01

Connect your MMP and retargeting networks

Tapper integrates with your mobile measurement partner and retargeting network stack, monitoring click populations and their relationship to genuine re-engagement events across every source.

02

Click stuffing detected through population-level analysis

Tapper analyses click velocity, CTIT distributions across the full click population per source, and click-to-re-engagement attribution ratios to identify sources engaging in attribution theft rather than genuine re-engagement driving.

03

Accurate re-engagement attribution restored to genuine sources

Stuffed attributions are removed from fraudulent sources and credit is returned to the genuine channels that drove each lapsed user return. Your retargeting channel data becomes accurate and trustworthy.

Click stuffing on Mobile retargeting 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 mobile advertisers have no active fraud monitoring

0x

ROAS lift after removing fraudulent traffic

Tapper vs MMP Built-in Fraud Protection

See exactly where the gaps are, and why they matter to your retargeting performance.

Capability
Tapper
MMP Built-in Fraud Protection

Click velocity analysis

Real-time velocity and distribution analysis per source

Basic threshold rules only

Re-engagement attribution theft detection

Identifies sources claiming credit without driving returns

No cross-source attribution analysis

Re-engagement CTIT analysis

Distribution analysis accounting for wider retargeting windows

Fixed CTIT thresholds not calibrated for retargeting

Retargeting channel data accuracy

Restores credit to genuine re-engagement sources

Fraudulent attributions remain in retargeting reports

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
Read the case study

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

Sohail Khan

Senior Performance Manager, WPP Media MENA

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

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 about click stuffing on Mobile App retargeting.

Acquisition campaigns have narrower click-to-install attribution windows and more predictable CTIT distributions, making click stuffing patterns easier to identify through timing analysis. Retargeting campaigns have wider and more variable re-engagement attribution windows because lapsed user return behaviour is inherently less predictable than first-install behaviour. Click stuffing operations exploit this variability by placing clicks throughout the wider window, making individual click timing appear plausible even when the click population as a whole shows stuffing signatures.

Organic re-engagement is the most commonly stolen attribution category because lapsed users who return to your app through natural discovery or push notifications generate genuine re-engagement events with no prior paid click in the attribution window, making them easy targets for click stuffing credit theft. Your organic re-engagement metric is suppressed while fraudulent sources accumulate apparent re-engagement attribution they did not earn.

Tapper identifies click stuffing patterns as soon as sufficient click volume from a source is available for distribution analysis, typically within 24-48 hours of campaign launch for active sources. Sources showing significant click stuffing signatures are flagged in your Tapper dashboard with the evidence behind each identification, allowing you to suppress them before they accumulate substantial fraudulent attributions.

Other fraud types on Mobile App retargeting

Retargeting campaigns face multiple fraud threats. Tapper protects against all of them.

Competitor clicks

On Retargeting

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