Invalid traffic, fake installs, and click fraud distort your mobile ad data. mFilterIt validates every impression, click, install, and in-app event, giving your team ad fraud intelligence needed to act fast, cut waste, and reallocate spend on what's working.
Modern mobile ad fraud goes far beyond bots and click spam.
It infiltrates the entire funnel, manipulating installs, registrations, in-app events, and other conversion signals that drive campaign optimization and payouts. Therefore, identifying fraud across every stage of the user journey has become critical.
Data centers, VPNs, and proxies impersonating real user devices.
Bots inflating CTRs and stealing last-click attribution from real channels.
Install farms and emulators generating fake app installs at scale.
Publishers abusing incentivized campaigns and referral coupons via bots.
Faking in-app actions like signups or purchases to manipulate payouts.
Manipulation of the click-to-install time to fool attribution systems.
Ad Visibility, Post-Bid
Driven by Potential Customers vs BOT Generated
Actual Customer, vs BOT Simulated
Login, Signups, Registration
Purchase, Deposit, Transactions
Most mobile measurement tools tell you where traffic came from. We surface exactly which sources, publishers, and channels are sending invalid ad traffic, so your team cuts the waste, and redirects spend to what's converting.
From impression to in-app purchase, every touchpoint is validated. Click fraud detection, install validation, event integrity.
Post-bid validation surfaces fraud at source, publisher, and campaign level so you can pause bad traffic and reallocate spend fast.
Stop fake attributions. Remap conversions to genuine sources. Your mobile ROAS finally reflects reality, enabling better spend decisions.
Connects to your existing mobile measurement partner stack via encoded SDK. No rip-and-replace, live in days, not months.
Detect bots in your affiliate network. Block postback fraud. Pay publishers only for verified, genuine conversions.
Protect retargeting campaigns that are easier to target due to click-based payouts, a known high-fraud vector.
Machine learning identifies anomalous traffic patterns in real time. Deterministic rules enforce hard blocklists of known fraud sources. Heuristic analysis handles the grey zone. Three independent engines mean ad fraud detection at every level — new attack vectors and known offenders alike.
Want to test your current campaigns?
Run a quick fraud checkFrom cross-channel coverage to actionable intelligence — everything your growth team needs in one validated data layer.
We started using mFilterIt's ad fraud validation tool to get better visibility into the quality of traffic across our campaigns. Over time, the insights helped us identify patterns of low-quality and potentially fraudulent activity. The team was responsive and open to feedback, and the platform integrated well with our existing tools.
mFilterIt offers robust ad fraud detection with detailed insights to optimize campaign performance. Backed by a responsive support team, it’s ideal for safeguarding digital ad spend. mFilterIt is helping us detect and eliminate invalid traffic, ad fraud, and organic hijacking across our campaigns. This ensures our marketing budget is spent efficiently, improves campaign performance, and delivers more accurate ROI and audience targeting
The best thing about mFilterIt is its real-time ad fraud detection and detailed analytics. It provides granular insights into invalid traffic, helping us protect our media spend and optimize campaigns across channels. Insights from the platform help us overlay them onto the available inventory from multiple suppliers to ensure our clients receive the best results from us and to retain their business in the long term.
At 1000Farmacie, we’ve always prioritized sustainable growth and customer trust. MFilterIt helped us identify and address fraudulent activity—particularly in our affiliate partnerships—where we found 28% of website visitors at sale level were invalid. Their rigorous monitoring and actionable insights enabled us to protect our brand reputation, optimize our marketing investments, and maintain a high level of transparency in our digital operations. This partnership has underscored our commitment to providing an authentic, value-driven experience for our customers, safeguarding both our business and our brand.
Partnering with MFilterIt, we discovered that over 9% of our affiliate traffic and up to 16% across all channels were flagged as invalid, hurting our ROI and inflating performance metrics. By leveraging MFilterIt’s real-time fraud detection and validation solutions, we reallocated our budgets toward legitimate affiliates and eliminated non-human traffic. As a result, our marketing efficiency improved by 10%, allowing us to focus on genuine customer engagement and ensuring every marketing euro is put to optimal use.
It gives us clear insights into our campaigns and helps cut down on ad fraud. The dashboard is easy to use, and their support team is always helpful. We’re able to track invalid traffic in real-time, which helps us optimise spends better. It’s been a reliable partner in improving media efficiency and brand safety.
We started using mFilterIt's ad fraud validation tool to get better visibility into the quality of traffic across our campaigns. Over time, the insights helped us identify patterns of low-quality and potentially fraudulent activity. The team was responsive and open to feedback, and the platform integrated well with our existing tools.
mFilterIt offers robust ad fraud detection with detailed insights to optimize campaign performance. Backed by a responsive support team, it’s ideal for safeguarding digital ad spend. mFilterIt is helping us detect and eliminate invalid traffic, ad fraud, and organic hijacking across our campaigns. This ensures our marketing budget is spent efficiently, improves campaign performance, and delivers more accurate ROI and audience targeting.
The best thing about mFilterIt is its real-time ad fraud detection and detailed analytics. It provides granular insights into invalid traffic, helping us protect our media spend and optimize campaigns across channels. Insights from the platform help us overlay them onto the available inventory from multiple suppliers to ensure our clients receive the best results from us and to retain their business in the long term.
mFilterIt analyses clicks, installs, devices and post-install behaviour to identify patterns such as click fraud, fake installs, device farms and suspicious user activity.
Organic hijacking is when a fraudulent or dishonest source claims attribution credit for an install that would have happened organically anyway, essentially stealing credit and payout for a user the app never needed to pay for.
MMPs primarily validate attribution at the point of install only using SDK-level data. mFilterIt goes beyond that, validating actual in-app behaviour, post-install events, retargeting, and incentivized traffic that attribution-only tools typically don't catch.
Incent fraud is when users install an app purely to claim a reward with no real intent to use it, generating high install volume with poor retention. mFilterIt's Incent Traffic Checker specifically identifies these low-retention, reward-driven installs.
mFilterIt identifies fraud across the app funnel, including fake installs, click injection, click spamming, SDK spoofing and device-farm activity.
Yes. mFilterIt analyzes click-to-install time (CTIT) and other timing anomalies alongside device IDs and geo-behaviour to detect attribution manipulation where fraudsters alter click or install timestamps to fool standard detection systems.
Protect Your Ad Spend. Power Your App Growth