mFilterIt
Contact Us
mfilterit

Blog

How to Know If Your Campaign is Affected by Ad Fraud

How to Know If Your Campaign is Affected by Ad Fraud: 5 Signs Marketers Often Miss

Blog, Ad Fraud /

Bot traffic is taking up more than half of the internet traffic. Out of which, 37% of the traffic is driven by bad bots. (Source: Imperva) And this bot traffic is beyond just inflated activity.   Sophisticated ad fraud techniques penetrate the funnel, impacting not just analytics but end goals like sign-up, purchase, etc.   They can bypass basic ad fraud detection methods easily, mimicking human-like behaviour. It skews the data, further impacting decision-making, conversion rates, and retention across mobile and web campaigns.   That is why it is important for advertisers to know about not just surface-level signs of ad fraud but also the sophisticated indicators.   In this article, we’ll break down some of the signs of ad fraud that we have observed in the campaign analyzed. Let’s dig in.  What Differentiates Sophisticated Ad Fraud Techniques from Basic Bot Traffic?  Basic bot traffic is easier to detect. It often creates visible spikes like traffic coming from locations outside the targeted region, same devices, unrealistic click volumes, or abnormal engagement patterns.  On the other hand, sophisticated ad fraud is different. Instead of obvious anomalies, it mimics human-like behaviour. The manipulation happens inside patterns that are harder to identify and detect: OS distributions, CTIT inconsistencies, imperceptible ad placements, IP clustering, or traffic coming from incent fraud.  Basic bots inflate numbers. Sophisticated fraud impacts performance intelligence. That is what makes it more dangerous.  It does not just waste budget. It influences optimization decisions, attribution models, and scaling strategies, without triggering immediate suspicion. Therefore, understanding this difference is the first step toward detecting it.  Now, let’s have a look at some of the sophisticated ad fraud signals.  Sign 1: Heavy install coming from older Android OS versions  Fraudulent affiliates using bots and emulators running on older Android OS versions to generate fake app installs.   After comparing OS version install distribution across different traffic sources:  Google installs were spread across multiple OS versions (10-16), reflecting a healthy and natural user base. However, two affiliate partner sources revealed a very different pattern.  Partner A and Partner B showed a heavy concentration of installs on OS 12, 13, and 14  While the benchmark (Google) traffic was distributed more broadly across OS 10–16  The mismatch clearly indicated emulator-based or bot-driven installs.   Sign 2: Google Play installs happened before the user clicked on an ad  Click-to-install time (CTIT) measures how long it took a user to install an app after clicking on an ad.     Naturally, an app install takes up to minimum 20-30 seconds. However, in one of the campaigns we noticed app installs taking place even before the users clicked on an ad, resulting in negative CTIT. This is a clear indicator of mobile ad fraud.   Therefore, extremely short or negative click-to-install time indicates click injection.  If your CTIT distribution doesn’t resemble a natural curve, it’s worth investigating further. Know how.  Sign 3: Inflated Installs Coming From Incent App  In one of the campaigns, we observed that a telecom provider was unknowingly running ads on an incent app.  Users were redirected through a shared link, asked to install the app, and complete specific steps to earn rewards. This resulted in a high number of installs, but the actual engagement remained low.  The majority of users completed the required action only to earn coins and did not return. This clearly indicated incentive-driven traffic rather than genuine user acquisition.  Read this to know about incent apps and low-quality traffic in detail and how advertisers can protect their mobile app campaigns.   Sign 4: Invalid Traffic Coming From Imperceptible Window   In one of the web campaigns, 99% of traffic was coming from an imperceptible window (also known as pixel stuffing ) through a specific publisher source.  This means the ad was technically loaded in 0x0 iFrames, but not actually visible to users.   Although impressions and traffic volumes appeared normal, user engagement metrics clearly indicated non-human behavior. Analysis revealed:  Repetitive browser agent across sessions Over 70% of data originating from a single IP cluster Zero scroll activity and no sales generated This means advertisers must check not just if the ad was delivered but also if the ad was actually viewable.  We have broken down how to move beyond the viewability myth. Check it out here.  Sign 5: Repeated Ip Traffic From The Same Subnet (Invalid Traffic Pattern)  In genuine campaigns, IP addresses are typically distributed across diverse networks. But what we observed was different.  At first, the traffic appeared strong. But on deeper evaluation of IP-level data, we found that a large portion of clicks and visits were traced back to a single IP subnet.  Each IP was generating more than 70+ clicks, consistently inflating traffic. The concentration of activity within a contiguous subnet suggested coordinated or automated behavior rather than random user traffic.  If a significant share of your traffic is coming from closely grouped IP ranges. especially those flagged under VPN or proxy networks, it requires immediate audit.  Volume alone does not indicate performance. Source diversity does.  How Can Advertisers Identify Sophisticated Bot Traffic?   Detecting sophisticated ad fraud requires moving beyond surface-level indicators. Here are key actions advertisers should take:  Analyze Deeper Behavioral Patterns  Validating only surface-level signals like clicks and installs is not enough. You need to monitor click-to-install timing distributions, engagement depth beyond first interaction, repeat device and IP behaviour, etc. These patterns uncover anomalies that standard filters miss.  Benchmark Across Trusted Sources  Compare partner traffic against known clean channels, ecosystem adoption trends, and natural engagement ranges. Discrepancies from benchmarks often reveal non-genuine or invalid traffic behaviour.  Validate Before Scaling Budgets  Campaign scaling should never happen without ad traffic validation. High volume doesn’t mean high value. Invest in tools that provide real-time ad fraud detection, cross-source transparency and analysis, alerts for sophisticated patterns with proofs and in-depth understanding of new emerging patterns as well. At mFilterIt, our ad fraud detection tool – Valid8, helps detect ad fraud signals that ad platforms and MMPs often overlook. They also allow you to:  Understand true user intent Exclude invalid traffic before optimization

How to Know If Your Campaign is Affected by Ad Fraud: 5 Signs Marketers Often Miss Read More »

Frequency capping breach

15% of Ad Impressions were Exceeding Frequency Capping: Here’s How We Fixed It in a CTV Campaign

Blog, Ad Fraud /

Your ads are getting delivered, but to a limited audience pool.   This is what we recently saw in one of the campaigns running on CTV platforms.   While impression delivery appeared strong for this Indonesian brand, engagement metrics did not align proportionately with campaign spend. On deeper analysis, it was observed that ad impressions were being served repeatedly to a limited set of devices instead of expanding to new viewers.   This indicated a potential frequency capping breach, where ads were being delivered beyond the defined exposure threshold.  Impact? Poor campaign efficiency and ad fatigue.  So, if you are an advertiser running OTT & CTV advertising campaigns, or your audience is experiencing something similar, this is must-read.  Deep-Down to Identify the Problem   Throughout the campaign, 6.02 million ad requests were evaluated through VAST-level validation signals.  What the Data Revealed About Frequency Capping Breach  The evaluation uncovered that:  15.86% of impressions were exceeding the defined frequency cap  A total of 16.47% delivery was prevented, combining frequency capping breach and invalid traffic filtration  Over 950,000 impressions were blocked due to frequency violations alone. Certain Smart TV device IDs generated thousands of repeated ad requests within short time windows  In one instance, a single device triggered over 7,600 ad requests in a single day, clearly indicating abnormal repetition behavior.  Additionally, a small portion of traffic (0.61%) was linked to data center and VPN-based IP activity, pointing toward advanced traffic manipulation patterns.  The Action Taken  To address this, real-time frequency validation was implemented at the VAST integration level. Every ad request was evaluated against the predefined frequency threshold before delivery.  If a device had already crossed the limit, a no-ad response was triggered, preventing further exposure. Repeated device patterns and abnormal request spikes were filtered out without impacting legitimate delivery. This ensured that exposure remained controlled and aligned with the campaign’s intended frequency settings.  The Measurable Impact  After filtration and enforcement:  691,691 impressions were validated and served cleanly.  Video engagement remained strong.    These results demonstrated that once frequency capping was enforced and invalid traffic was removed, genuine viewer engagement remained stable and healthy. More importantly, reach distribution improved, budget wastage was reduced, and exposure became more balanced across devices.  What This Means for OTT & CTV Advertisers  To prevent frequency capping breaches, simply setting up a frequency cap is not enough. What matters is whether that cap is actively enforced at the moment of ad delivery or not. mFilterIt ensures that ad exposure remains controlled, balanced, and performance-driven through real-time frequency governance. Here’s how advertisers can benefit:  Ensures Proactive Enforcement Of Frequency Caps  By validating ad requests before they are served, exposure thresholds are actively monitored and enforced. This prevents ad impressions from exceeding defined limits and ensures campaigns remain compliant throughout their lifecycle.  Prevents Impression Wastage On Limited Devices  Device identities are analyzed to monitor how frequently a specific device has been exposed to an ad. By tracking repetitions at the device level, advertisers can clearly identify when impressions are being served within a limited audience pool and take corrective actions accordingly.  Maintains Clean Reach By Combining Frequency & Traffic Quality  Ad frequency overshoot can sometimes overlap with invalid traffic signals. By evaluating both exposure limits and traffic quality together, mFilterIt ensures campaigns maintain clean reach without inflating ad impressions through excessive or abnormal delivery.  Protects Viewer Experience With Balanced Exposure  By maintaining balanced exposure levels, advertisers can ensure that audiences are not overwhelmed by repeated messaging. This helps create a more relevant and engaging viewing experience while preserving brand perception across OTT and CTV environments.  Enables Smarter Campaign Optimization  Insights from frequency analysis allow advertisers to refine targeting strategies, adjust exposure thresholds where necessary, and improve distribution efficiency. This ultimately supports stronger reach expansion and better use of media investment.  Conclusion  OTT and CTV advertising is built to deliver premium, high-impact brand moments. But without proactive validation, campaigns generate ad impressions within a limited device pool, restricting reach and draining budget on repetitive exposure.   Advanced frequency capping using ad traffic validation solution is a performance safeguard. With this approach, brands can protect reach, maintain engagement quality, and ensure that budget is directed toward incremental audience expansion, not overserving the same devices.  If you want your branding campaigns to deliver genuine impressions, balanced reach, and measurable ad viewability across OTT and CTV advertising, it’s time to move beyond settings and into enforcement.  Connect with our experts to know more! FAQs What Is Frequency Capping?   Frequency capping refers to the maximum number of times an advertisement should be shown to a user or device within a defined time frame. For example, a brand may decide that a viewer should not see the same ad more than three times per day to maintain optimal exposure without causing ad fatigue.   What Is Frequency Capping Breach?   A frequency capping breach occurs when an ad is shown to the same user beyond the predefined limit. Moreover, this can happen even when you’ve set a frequency cap in your ad manager, due to platform-level inconsistencies, device-level repetition, or synchronization gaps across systems.   How Are Frequency Caps Configured?  Frequency caps are typically configured based on:   Campaign   Publisher   Geography   Time duration (daily, weekly, monthly)  Why Does Frequency Capping Matter?   Effective frequency capping ensures that users aren’t served the same ad too many times within a short period. This enhances ad campaign performance, effectiveness, prevents irritation, and maintains a positive viewing experience. However, finding the right balance requires data-driven decision-making, continuous testing, and collaboration with advertising platforms. 

15% of Ad Impressions were Exceeding Frequency Capping: Here’s How We Fixed It in a CTV Campaign Read More »

How to Identify Affiliate Fraud

How to Identify Affiliate Fraud: Key Signs, Impact & Prevention Strategies

Blog, Ad Fraud /

Consider a fast-growing ecommerce brand with strong organic traffic and a well-run affiliate program. Revenue looks solid every month, but one odd trend appears: a mid-tier affiliate suddenly becomes the highest contributor, while trusted, high-quality partners stay flat.  At first, it feels like a performance win.  However, a closer look reveals the truth.  Most of those “affiliate-driven” traffic was from users who were already interested to buy from the brand. At the last moment, the credit shifts to the affiliate — even though they didn’t bring in a new customer. To burst this bubble, focus on what really adds value.  In this blog, you will discover –  The real-world signs of affiliate fraud  How to detect it using actionable data signals  And how to prevent it without hurting scale or genuine partners  Signs to Identify Affiliate Fraud in Programs Brands running affiliate marketing programs can spot key warning signs triggered by fraudulent activity, understand the mechanisms behind them, and uncover what these indicators truly reveal –  Unusually high clicks with low engagement or conversions What it is: Campaigns receive a high number of clicks but very few real actions like sign-ups, purchases, or engagement.  How it happens: This is usually caused by click spamming, bot traffic, or forced redirects that create fake or unintentional clicks.  What it indicates: Artificial traffic inflation aimed at organic hijacking, manipulating attribution and making performance appear better than it actually is.  Inflated installs with distorted click-to-install ratios What it is: High install volumes paired with unusually short click-to-install times or irregular conversion paths.  How it happens: Driven by click injection techniques that hijack organic or paid traffic at the last moment.  What it indicates: Attribution manipulation and conversion theft from legitimate marketing channels.  Abnormal growth from a small group of affiliates What it is: A few affiliates show sudden, disproportionate growth while overall program performance remains flat.  How it happens: Often due to last-click hijacking of organic and paid installs  What it indicates: Skewed performance reporting and possible conversion stealing rather than incremental growth.  Sudden spikes in installs from limited device models, OS versions, or IP ranges What it is: High volumes of activity originating from a narrow set of technical identifiers.  How it happens: Generated using device farms, emulators, or automated traffic systems.  What it indicates: Non-human traffic rather than genuine user acquisition.  Installs originating from unauthorized or unverified sources What it is: App installs coming from unofficial app stores, third-party APKs, or unknown publishers.  Why it happens: APK tampering or manipulated distribution channels.  What it indicates: High risk of fraud, poor user quality, security vulnerabilities, and low lifetime value.  Sharp spikes followed by rapid drops in activity and retention What it is: Sudden bursts in installs or sign-ups that collapse shortly after.  Why it happens: Incent-based campaigns that attract reward-seeking, low-intent users.  What it indicates: Artificial scale that fails to generate long-term engagement, retention, or revenue.  High volume of users completing only minimal actions What it is: Users perform just enough actions to trigger payouts and then disengage.  Why it happens: Incent fraud, forced actions, or scripted behavioral flows.  What it indicates: Low-quality acquisition that inflates metrics but delivers no sustainable business impact.  Traffic spikes during odd hours or irrelevant geographies What it is: Large traffic volumes (including clicks and impressions) coming in at unnatural times or from low-relevance regions.  Why it happens: Bot networks, proxy servers, or geo-masking fraud operations.  What it indicates: Automated or manipulated traffic designed to bypass detection.  High uninstalls or drop-off rates within the first 24–48 hours What it is: Users churn almost immediately after installation or signup.  Why it happens: Forced installs, incentive-driven behavior, or misleading creatives.  What it indicates: Poor user intent, weak onboarding quality, and wasted acquisition spend.  Unusually High Retargeting Conversions What it is: A sudden or consistent surge in conversions attributed to retargeting campaigns.  Why it happens: Fraudulent sources manipulate attribution using techniques like click spamming, cookie stuffing, or last-click hijacking.  What it indicates: Conversion hijacking rather than genuine retargeting impact.  How to detect and prevent Affiliate Fraud?  Your legacy tools might be validating traffic at initial stages but is it going deeper to analyse compliance as well?   Once the signs are identified, the next approach for brands must be to opt for a comprehensive AI-driven solution that keeps their affiliate programs intact by also extracting the metrics that is not inflated by wrongful conversions. One such solution is Valid8 by mFilterIt that strengthens brands against affiliate fraud while maintaining affiliate integrity –  Build Source-Level Transparency Monitor every click and conversion comes from. When you see the true source of performance, you can reward real partners, eliminate hidden leakages, and invest with confidence not assumptions.  Enable Holistic Coverage Detect and block traffic from incent walls, curb unauthorized coupon usage, and ensure your program rewards only genuine, high-intent users — not incentive-driven or commission-leaking conversions.  Protect Retargeting from Fake Audiences Retargeting only works when the original data is clean. Filter invalid traffic early so your budget reaches high-intent users not bots or recycled audiences.  Turn Insights into Smarter Investments Real-time, advanced analytics show what’s truly driving ROI. Double down on winners, cut risky sources fast, and optimize with speed.  Combine Machine Speed with Human Intelligence Automation detects anomalies instantly; expert analysis adds context and action. Together, they resolve threats faster and keep performance on track.  Conclusion Brands running affiliate campaigns must first ensure the quality and authenticity of the traffic generated by their partners. This not only protects brand investments but also safeguards genuine affiliates from being impacted by fraudulent practices. To effectively break these patterns, a robust ad fraud detection solution is essential and mFilterIt’s Valid8 validates full-funnel ad activity in the most comprehensive way.  Want to know how? Schedule a call now!  FAQs What is affiliate fraud in digital marketing? Affiliate fraud refers to deceptive practices used by fraudulent partners to generate fake clicks, installs, leads, or conversions in order to earn illegitimate commissions, causing financial loss and inaccurate performance data for brands.  How can brands detect affiliate fraud early? Brands can detect affiliate fraud early by monitoring traffic quality, analyzing engagement metrics, tracking source-level data, validating full-funnel performance, and using AI-driven fraud detection solutions for real-time monitoring.  What is organic hijacking in affiliate fraud? Organic hijacking occurs when fraudsters intercept organic user journeys and falsely attribute conversions to affiliate channels using last-click manipulation or forced redirects. 

How to Identify Affiliate Fraud: Key Signs, Impact & Prevention Strategies Read More »

Dealer Marketing Program in USA

How to Build a High-Performance Dealer Marketing Program in the USA

Blog, Creative Compliance - Ticker /

Automobile industry is as vast as USD 1.5 trillion and dealer programs sit at the heart of this growth. But in a world where every dealer is running their own campaigns, simply launching ads is no longer enough and managing them manually is just not possible. This raises two critical questions for brands –  Are your dealer ads bringing genuine traction?  How are your dealers conveying your brand message to the target audience?  These questions matter because without clear visibility, even the biggest ad budgets can lose their impact.  And since no brand can realistically track every dealer campaign on its own, this blog explores a simpler and unified way to bring clarity, control, and confidence to your dealer marketing program.   Further, you will walk through –  Why verifying traffic on dealer programs is essential?  Why must brands ensure their dealer programs carry the right message?  How can brands ensure genuine traffic and clear brand messaging in dealer programs?  Checklist for brands running dealer programs  Why Verifying Traffic on Dealer Programs is Essential? With ads running across multiple dealers, knowing which traffic is real becomes critical. Many b rands believe that first-level check is enough for them and if identified at the initial stage, invalid traffic cannot move further. However, this is a myth, digital advertising fraud exists at all the level, making first-level check just not enough.  Here’s why validating traffic at all stages matters –  Visibility: Ensures your ads are seen by real people and prevents your budget from being wasted on empty exposure.  Interaction: Validates interactions/clicks on your ads to understand true user interest, so decisions are guided by meaningful behaviour, not misleading signals.  Entry: Checks if real users enter your funnel to create stronger connections and higher chances of long-term engagement.  Action: Verifies actions like sign-ups and purchases to ensures your performance reflects real progress, not inflated numbers.  Growth: Ensures revenue comes from genuine demand to make growth predictable, sustainable, and long term.  Why Brands Must Ensure Their Dealer Programs Carry Right Brand Message? If your ads are reaching the right audience, that is one thing. If they deliver the right message is another. So, your second approach must exactly talk about this. Whether the right brand messaging is reaching your target audience or not.  Here’s why conveying right brand message is essential –  Ensure consistent brand communication across all channels and markets  Protect brand identity, trust, and credibility  Prevent incorrect, misleading, or non-compliant messaging  Improve coordination across teams and dealers  Drive better engagement, performance, and ROI  Reduce wastage and maximize marketing efficiency  How Can Brands Ensure Genuine Traffic and Clear Brand Messaging in Dealer Programs? Brands need a unified campaign analytics approach while handling their dealer programs instead of juggling between multiple tools for verifying traffic and ensuring consistent brand messaging. Here’s what a one-spot solution provide –   One Place to Manage All Your Brand Assets Bring all your creatives, campaigns, and brand materials into one easy-to-use platform. This helps brands stay organized, maintain consistent messaging across every channel, and ensure dealers always use the right, approved content without extra manual effort.  Built-In Brand Compliance, Without the Complexity Make sure every campaign automatically follows brand guidelines and compliance standards. With smart, real-time checks, brands can avoid costly mistakes, reduce risk, and protect their reputation even when running thousands of campaigns across regions.  Focus on real user quality, not just installs Track post-install engagement, retention, and user behavior while analyzing CTIT patterns and source-level transparency to detect anomalies and non-genuine activity.  Real-Time Insights to Improve Campaign Performance Connect Google and Meta seamlessly to get instant access to clean, accurate campaign optimization. Track irregular spikes in real time and optimize faster to improve results and reduce wasted spend.  A Practical Checklist for Brand-Led Dealer Marketing Here’s what brands running dealer marketing program must not miss –  Standardized campaign templates for quick launches: Launch dealer campaigns faster, ensure brand consistency, and reduce execution errors.  Real-time visibility into dealer activity: Get live, actionable insights into dealer performance, campaign reach, and optimization across all partners.  End-to-end budget and spend tracking: Track every rupee spent, avoid overspending, and improve ROI with complete financial transparency.  Built-in fraud and misuse prevention: Protect ad budgets by blocking fake traffic, brand misuse, and policy violations in real time.  Performance-based dealer benchmarking: Identify top-performing dealers, optimize budgets, and encourage healthy competition.  Easy dealer onboarding and training: Enable faster adoption, smoother operations, and consistent campaign execution.  Conclusion Sustainable growth is not just how much you spend, but on how intelligently you protect and optimize that spend. Ad traffic validation at all stages ensures your budgets reach real users and deliver genuine performance, while creative compliance monitoring safeguards your brand identity across every dealer and platform. Together, they create a powerful foundation for transparent, efficient, and scalable marketing, enabling brands to drive higher ROI, protect reputation, and grow with confidence. FAQs What are the key aspects of ad fraud in dealer marketing? Dealer marketing is highly localized and performance-driven, making it vulnerable to click fraud on high-intent keywords, fake lead submissions, fraudulent calls, geo-spoofed traffic, and attribution hijacking. Since most dealer programs optimize for leads rather than completed vehicle sales, these metrics are easier to manipulate.  Why does automotive marketing see such a high rate of PPC fraud?  Automotive campaigns have some of the highest CPCs in digital advertising, which attracts fraudulent activity. Long purchase journeys, aggressive local competition, and reliance on lead-based optimization create more opportunities for click fraud and attribution manipulation in dealer programs.  How can brands maintain consistency across multiple dealer programs in the USA? Brands can maintain consistency by implementing standardized campaign templates, centralized brand asset management, and unified campaign analytics. This ensures all dealers follow approved messaging, creative compliance guidelines, and brand standards while running localized campaigns. 

How to Build a High-Performance Dealer Marketing Program in the USA Read More »

Ad monitoring in india

What is Ad Monitoring? Why Does it Matter During IPL Advertising? 

Blog, Ad Fraud /

The Indian Premier League (IPL) is not just one of the biggest sporting events in the country; it’s also one of the most powerful advertising platforms for brands. Every season, millions of viewers tune in across TV and digital platforms, making IPL a high-impact opportunity to drive brand visibility at scale.  Naturally, brands go all in. From live broadcast placements and digital ads on OTT platforms to in-play overlays during matches, IPL advertising budgets are spread across formats with one common expectation: maximum visibility.   But in a multi-feed broadcast environment like IPL and T20, heavy spending does not automatically guarantee that audiences actually saw what you aimed for until you see the final reports from broadcasters post matches.  This brings us to a critical challenge for advertisers – ad monitoring. During IPL advertising, it’s no longer enough to buy ad slots and assume the ads will be delivered diligently. Brands need to understand when ads appeared, in what context, on which screens, at what time, and for how long they were actually visible.   How Ads Are Actually Delivered During IPL Matches?   IPL advertising is not a single media buy. Ads are delivered on multiple placements, platforms, and locations.   Live match branding on jerseys, boundary boards, pitch mats, and other on-ground assets  Ads during commercial breaks on TV and OTT platforms  Digital display and video ads on streaming apps In-stream overlays like Aston ads and L-band ads that appear during the live play  Such fragmented broadcast ecosystems make tracking difficult and inconsistent, creating a visibility gap.  The Visibility Gap: What Brands Don’t See During T20 and IPL Broadcasts  Many advertisers investing in IPL advertising focus on placements purchased — number of ad slots, jersey branding, etc. However, here’s what brands might not see.  Brand Exposure During Live Match Coverage  On-ground brand assets such as jerseys, boundary LED boards, pitch mats, stumps, and skirting depend entirely on broadcast framing for visibility. Whether a logo appears on screen, and for how long, it is decided by the flow of the match. Close-ups, replays, or action-focused shots can easily sideline on-ground branding.   As a result, a brand may be present throughout the stadium but appear on screen only for a shorter span of time.  FCT Ads During Breaks and Digital Insertions  Commercial break advertising is often assumed to be the most predictable part of IPL campaigns. However, ad delivery and performance during breaks can differ significantly. Their effectiveness depends on cut percentages, placement, and visual clutter at the moment they appear. Short exposure windows can significantly reduce impact, yet these formats are rarely measured beyond confirmation of placement.  However, without regular monitoring, advertisers are left relying on aggregated post-campaign reports rather than verified ad delivery.  Non-FCT Ads: In-Stream Overlays During Live Play  In-stream formats like L-band ads (horizontal strips across the bottom of the screen) and Aston ads (lower-third graphics that appear without disrupting the match feed) appear during live gameplay, positioning them as high-impact placements.   However, their actual visibility depends on how long they remain on display during active play and whether it was delivered or not. Without in-stream ad monitoring, brands have limited clarity on whether these overlays were prominently visible or quickly overshadowed by live action and graphics.   What Most Advertisers Investing in IPL Advertising Miss Without Advanced Ad Monitoring?  Broadcaster reports focus on delivery — spots aired or planned reach. What they often miss is:  Frame-level confirmation of brand visibility  Feed-by-feed ad delivery and visibility differences  Differences across regional and OTT feeds  Duration, cut percentages, and prominence of on-screen ad exposure  Competition mapping while the matches are happening   Continuous ad tracking and verification  Incomplete tracking leaves advertisers with incomplete verification. More importantly, these reports rarely provide evidence to question under-delivery. Without visibility data such as early cuts, missed peak moments, or feed-level gaps, advertisers have limited grounds to seek clarifications on ad delivery. Hence, the need for ad monitoring.  So, What is Ad Monitoring in IPL Advertising?  In simple terms, ad monitoring is the process of independently verifying what actually appears on screen during IPL broadcasts across live play, commercial breaks, OTT platforms, and in-stream overlays.  Without active ad monitoring, advertisers risk losing both visibility and impact. Performance dips, under-delivery, missed geographies, or incorrect creatives damage campaign effectiveness, leading to lost opportunities in a media moment that’s all about timing and precision.  An ad monitoring solution verifies what is actually shown on screen across all formats, platforms, and feeds. It tracks:  If live match branding was visible or not How long a brand stayed on screen  Whether each ad in commercial breaks played as planned  Which feeds and regions saw the ad  Presence of overlay ads and their duration  Any discrepancies between planned and delivered visibility  Did the ad run at the scheduled time  How many times did each creative appear  Was the brand visible during peak match moments  Instead of relying just on broadcaster reports alone, it uses frame-by-frame detection and automated AI parsing to independently verify visibility and brand presence throughout the entire broadcast – live or recorded.   Benefits of Ad Monitoring During IPL Advertising  Ad monitoring helps advertisers move from assumptions to evidence, offering clear, actionable insights across every advertising format. Here’s how:  Any-Asset, Frame-by-Frame Detection  Tracks every brand element, logos, visuals, taglines, and products, frame by frame, ensuring no on-screen exposure is missed during live matches, replays, or commercial breaks.  Platform & Format Agnostic Visibility  Monitors ad visibility across TV, OTT, mobile, and CTV platforms, giving advertisers a consistent view of exposure regardless of where audiences are watching.  Multilingual & Regional Precision  Breaks down visibility by language feeds and regions, helping brands understand how exposure varies across geographies and ensuring regional campaigns deliver as planned.  Contextual Advertising & Performance Benchmarking  Supports stronger contextual advertising decisions by comparing brand visibility, measuring placement quality, engagement potential, and screen presence to assess true performance.  Competitor Visibility & Insights  Ad monitoring enables brands to see how competitors are advertising during the same

What is Ad Monitoring? Why Does it Matter During IPL Advertising?  Read More »

DSA brand bidding

Brand Bidding by Direct Selling Agents in BFSI Industry: Know How to Detect & Prevent

Blog, Affiliate /

For BFSI brands, branded keywords should be the cheapest conversions in the funnel. Instead, they’re becoming the most expensive.  Across banking, insurance, and lending, direct selling agents are aggressively bidding on brand terms, redirecting ready-to-convert users through affiliate links, and claiming payouts for demand the brand already created.  Wondering how it shows in your data?   In the form of higher acquisition costs, misattributed performance, and zero incremental value. In this blog, we breakdown how direct selling agents are using brand bidding technique to hijack organic traffic and how financial institutions can identify and take action against it.   The Problem: What is Brand Bidding by Direct Selling Agents?   Simply put, brand bidding by direct selling agents is when an agent or a partner runs paid search ads using: A brand’s name or related search terms  Brand keywords and product keywords Close variants or misspellings of a brand  Using brand name in ad copy or display URL  Cloaked ads shown only to search engines  This is essentially done to hijack the organic high-intent traffic; people already searching for your brand. As a result, instead of directing the users to the brand’s official website or app, these ads often lead to agent-owned landing pages or alternative conversion paths.  On the surface, these ads seem relevant. Click-through rates are high, and conversions might as well look strong. But the cost is that BFSI brands end up paying for traffic that might have anyway come to them organically.  Why Brand Bidding by Direct Selling Agents is Accelerating in BFSI Industry?  Direct selling agents are compensated based on outcomes like approved leads or disbursals. When that’s the case, any efficient-looking tactic that brings traffic and conversions, including brand bidding violations, becomes tempting.   Outcome-Based DSA Compensation Model  How the traffic is sourced often becomes less visible than the final outcome. This way, brand keywords become an efficient way for partners to meet performance targets, even if the demand already exists.  Limited Real-Time Oversight Across Large DSA Networks  Most BFSI brands work with large, distributed partner ecosystems. Monitoring every keyword, ad creative, and landing page manually across this network impossible. As a result, brand bidding activity is often detected only after performance anomalies or cost leakage becomes visible.  Localized and Intermittent Campaign Execution by Agents  Many campaigns are often limited to specific cities or regions, run in regional languages, or activated only during short time windows. This narrowed and fragmented approach rarely shows up in central dashboards or routine audits. As a result, brand bidding continues quietly without triggering immediate red flags, even though it directly impacts brand search performance and control. The Impact of Brand Bidding by Direct Selling Agents  Brand bidding impacts more than just media budgets for any brand:  You End Up Paying For The Demand You Already Created  When someone searches for your brand, that intent is usually the result of your marketing, your brand presence, or prior engagement. When a direct selling agent bids on that search keyword and routes the user through their own journey, brands often end up paying twice – once for the brand click and again through partner commissions. The conversion still happens, but no incremental demand is created. The existing demand becomes more expensive.  Performance Metrics Become Misleading  Agent-led brand traffic often shows strong click-through rates and quick conversions, which can make CPAs and ROI appear stable. But these metrics don’t always reflect true acquisition performance. In many cases, they indicate branded intent being captured outside the brand’s owned funnel, making it harder to distinguish real growth from demand.  Attribution And Visibility Become Questionable  When brand traffic flows through agent-controlled landing pages, brands lose direct visibility into how users are being handled. Messaging, form design, and data capture move outside central oversight. This fragments attribution and makes it increasingly difficult to understand which channels and partners are genuinely contributing to growth.   Compliance And Brand Risks Also Increase  In BFSI, control over messaging and data handling is extremely critical. Direct selling agents may often use unapproved claims, miss required disclosures, or collect user data in ways that don’t fully align with regulatory expectations. Even when this happens unintentionally, the responsibility ultimately rests with the brand.   Internal Competition Replaces Incremental Growth  Brand keyword abuse by partners competes directly with organic brand search, brand-owned paid campaigns, app or direct traffic. Instead of expanding reach, multiple channels end up chasing the same user. The outcome is higher costs, blurred ownership, and little to no incremental gain.  Know why standard marketing and analytics tools fail to detect brand bidding violations.  How BFSI Brands Can Prevent Brand Bidding Violations by Direct Selling Agents? Solving brand keyword abuse doesn’t require restricting partners. Brands can protect their search presence and with a structured approach using brand bidding detection software and by proactively governing brand keyword usage.  Start By Defining Brand Search As A Protected Channel  Clearly specify what qualifies as brand search (including variants and combinations), who is authorized to bid onx these terms, and what actions constitute a violation. Clear policies create a shared understanding across internal teams and partner networks.   Closely Monitor Brand Keywords Usage Across Geographies And Beyond Own Campaigns  Standard campaign reporting won’t show you ads running outside your own accounts. Continuously monitor third-party ads using brand terms, ad creatives and display URLs, final landing destinations, geographies, devices, and language variations to ensure visibility beyond your own campaigns.   Shift From Reactive Audits To Proactive Monitoring Using Brand Bidding Detection Software  Periodic audits and manual keyword checks are not enough. Brand bidding by direct selling agents tends to be periodic, localised, and low visibility, which means it often goes unnoticed until after impact occurs. A more effective approach is continuous, independent, and advanced monitoring of brand search activity across markets.   Here’s How mFilterIt’s Brand Bidding Detection Software Helps  Solutions like mFilterIt introduce structure and consistency into how brand keyword misuse is identified and addressed:  Comprehensive Brand Keyword Coverage  Monitors brand names, product combinations, misspellings, and close variants across search environments.  End-to-End Ad Journey Visibility  Captures live ads, analysing ad

Brand Bidding by Direct Selling Agents in BFSI Industry: Know How to Detect & Prevent Read More »

Affiliate Compliance in USA

Why the Most Trusted Affiliate Programs in the US Invest in Monitoring

Blog, Affiliate /

In United States, affiliate marketing surged to $11.2 billion in 2025, up from $9.1 billion in 2023, reflecting the growing confidence brands place in this channel.   However, as affiliate ecosystems scale, ensuring consistent brand messaging, transparency, and compliance becomes equally critical. A strong compliance layer not only safeguards brand integrity but also empowers high-quality affiliates, builds long-term trust, and fosters a healthier, more sustainable ecosystem for everyone involved.  To help brands navigate this evolving landscape, this blog explores:  What non-compliance really looks like in affiliate marketing programs  How non-compliance impacts both brands and honest affiliates  What your current affiliate program might be lacking  What effective, real-world compliance monitoring truly entails  What Non-Compliance in Affiliate Programs Look Like Non-compliance by partners is not clearly visible till you dive deeper into the programs and see the difference in the results. This non-compliance creates a pool of violations that drain ROI and come to surface level only when the loss escalates, subsequently contributing to affiliate fraud and draining advertising budget. Here’s what non-compliance includes –  Brand Bidding Violations Brands hold exclusive rights over their own keywords, and affiliate partners are strictly prohibited from bidding on them. Yet dishonest partners often violate this guideline by running paid ads on branded terms. This not only results into organic traffic hijacking but also increases bid price of brand’s own keywords.  Coupon Abuse Some partners abuse coupon abuse by misusing discount codes to capture commissions. For example, an affiliate leaks a private 20% discount code onto public coupon sites. A customer who was already ready to buy uses the code, and the affiliate still earns commission even though no new demand was created.  Unauthorized Creatives Brands run seasonal campaigns and offer exclusive discounts whose validity expires during the off-season time. However, some affiliates wrongly run old banners, offers, or messaging, tricking consumers for faster wins.  Misspelled Brand Names Partners perform typo squatting by registering misspelled or lookalike versions of a brand’s domain name and using them to divert users who accidentally type the wrong URL. These domains often host fake brand-like pages or silently redirect visitors to the official website through affiliate tracking links, making them earn wrongful commissions.  How Non-Compliance Hurts Both Brands and Honest Affiliates The impact of non-compliance in affiliate marketing programs is not confined to just brands, it extends beyond that, impacting honest affiliates, breaking the trust that binds them. Firstly, let’s understand the impact of non-compliance on brands –  Inflated CAC (Customer Acquisition Cost): Brands end up paying more to acquire each customer because commissions are being paid for sales that would have happened anyway.  Poor LTV (Customer Lifetime Value): Low-quality or incentive-driven users don’t stay loyal, make repeat purchases, or build long-term value, reducing the overall lifetime value of customers.  Wrong optimization decisions: Since the data is polluted by fraudulent activities, brands invest more in the wrong channels, partners, or campaigns.  Misleading ROI (Return on Investment): Performance looks strong on paper, but actual business impact is much lower.   Here’s how non-compliance in affiliate programs impact honest affiliates –  Loss of rightful commissions & unfair competition: Honest affiliates lose earnings, while rule-breakers take credit for sales they didn’t generate.  Distorted performance benchmarks & misleading targets: Fraudulent data skews performance metrics, making it harder to set fair goals and judge real success of affiliates.  Stricter compliance checks & increased operational burden: Due to dishonest affiliates, monitoring and audits become stricter, increasing workload and operational pressure on partners.  Erosion of trust, partner demotivation & limited growth: Loss of transparency weakens relationships, leading to lower motivation, higher churn, and slower ecosystem growth.  Why Your Current Affiliate Monitoring Is Not Sitting Right? If your current affiliate monitoring solution is indicating compliance issues after payout, it is not protection, it is simply reporting. Let’s know why it is not enough –  Limited real-time visibility – Insights arrive after campaigns run, not while they’re live.  Delayed issue detection – Problems are found late, reducing prevention opportunities.  Partial data coverage – Only a slice of activity is reviewed, leaving gaps.  Dependence on network checks – Independent validation is often missing.  Basic detection methods – Advanced abuse can go unnoticed.  Post-campaign optimization – Improvements happen after budgets are spent.  Reactive control model – Focus remains on reporting, not prevention.  The most trusted affiliate marketing programs are the ones that are not just backed by holistic compliance but also with KPIs that measure quality, not volume.   What they do right? Choose verified partners only – Work with partners ho have a proven track record and clean traffic sources.  Set clear rules & expectations – Define promotion guidelines, bidding policies, and compliance standards upfront.  Monitor traffic quality regularly – Track clicks, conversions, and behavior to ensure genuine user engagement.  Use transparent tracking & reporting – Maintain clear attribution and real-time performance visibility.  Reward quality, not just quantity – Incentivize affiliates for genuine conversions, not inflated volumes.  What they avoid? Don’t allow brand bidding violations – Prevent affiliates from competing on your branded keywords.  Don’t ignore suspicious traffic patterns – Sudden spikes, low engagement, or abnormal conversions are red flags.  Don’t rely only on surface metrics – High clicks and installs don’t always mean real users.  Don’t skip compliance audits – Regular checks are essential to prevent misuse and affiliate program violations.  Don’t delay action on fraud signals – The faster you act, the more revenue and brand trust you protect.  What Your Affiliate Compliance Monitoring System Should Have? The real and advanced affiliate monitoring solution provides a comprehensive approach to brands instead of making them shuffle between multiple tools. One such solution is mFilterIt’s Effcent that unifies compliance monitoring and empower brands to achieve –  AI-Powered Creative & Keyword Intelligence: Leverage NLP-driven systems to continuously scan digital platforms, uncover keyword misuse, misleading creatives, and content violations in real time.  Instant Alerts & Evidence-Based Reporting: Receive real-time alerts supported by screenshots, logs, and proof, allowing your teams to act quickly and decisively on typosquatting and counterfeit issues.  Consistent Brand Messaging: Prevent misuse of brand creatives, block lookalike domains and remove counterfeit or misleading product listings to maintain consistency in brand messaging.  Ensure Compliance & Controlled Reach: Run campaigns only in approved regions while eliminating expired, fake, or unauthorized promotions to maintain full brand and regulatory compliance.  Conclusion Affiliate programs function on one belief: trust. If trust shakes, metrics suffer and reliance on affiliate hamper. That’s why smart US brands invest in monitoring to put a defined halt to affiliate fraud. With the right affiliate monitoring software like mFilterIt’s Effcent, brands can surpass the checks and augment the outcomes of their affiliate programs.  FAQs Why is affiliate monitoring critical for protecting your brand? Affiliate monitoring helps ensure that partners follow brand guidelines, use approved creatives, and drive genuine traffic. It protects your brand reputation, prevents misuse, and ensures your marketing spend delivers real value.  What are the main risks of not monitoring affiliates? Without monitoring, brands risk brand bidding, fake or low-quality traffic, coupon abuse, misrepresentation, and rising customer acquisition costs — all of which lead to wasted budgets and loss of customer trust.  What are

Why the Most Trusted Affiliate Programs in the US Invest in Monitoring Read More »

brand safety

Why Brands in MENA Need to Go Beyond Keyword Blocking Approach for Brand Safety in 2026?

Blog, Brand Safety & Suitability /

“If I block risky keywords and categories, my ads won’t appear next to unsafe content.” That’s the belief many brands operate on today and it’s a dangerous oversimplification. Keyword blocking was a good approach when internet was a simple place where URL based tracking was enough. Today, consumer associate brands with the kind of placement they are appearing. Therefore, the context and sentiment analysis of the content is perennial, where keyword blocking as a technique fails. The challenge has grown with the rise of AI slops, massive volumes of low-quality, auto-generated content created at scale. These pages often look legitimate, avoid obvious risky keywords, and slip past basic filters, increasing the risk of ads appearing next to misleading or low-quality content. When your ads appear in such environments, viewers often assume your brand is endorsing or even funding that content, directly impacting perception and trust. Hence, we have broken down how media brand safety measures need to evolve, why legacy tools no longer suffice, and how brand can stay safe without compromising reach and relevance. Why Keyword Blocking is not Effective Anymore in 2026? A word that a brand may label as “risky” can often appear in completely safe and relevant contexts such as news articles, educational videos, sports commentary, or everyday conversations. For instance, a keyword like “junk food” might appear in a nutrition awareness video or a healthy eating guide. If brands blindly block such keywords, they risk over-blocking, which can prevent their ads from appearing next to high-quality, brand-safe content.  On the flip side, genuinely unsafe or unsuitable content often avoids obvious trigger words. Instead, it relies on coded language, slang, abbreviations, or even visual cues. This leads to under-blocking, where harmful content slips through filters and ads appear in inappropriate environments.   In visual-first formats such as reels, thumbnails, and shorts, the lack of text led to frequent misclassification, allowing unsafe or irrelevant contexts to go undetected. Similarly, vernacular UGC with emotional or culturally sensitive undertones was often marked safe because legacy systems cannot interpret tone or sentiment in regional languages.   This flags major concerns especially in regions like MENA, where religious and cultural sensitivity strongly influence brand perception. Relying only on keyword blocking is not enough, because much of the content is vernacular. A video may seem neutral to an English-based system, but still carry political, emotional, or culturally sensitive undertones. As a result, such content often gets wrongly marked as safe, making contextual advertising more important there.  The Reality: Legacy Systems Don’t Understand Context Platform-built brand safety tools focus on what’s easiest to detect: keywords, metadata, and surface-level signals. What they miss is contextual intelligence: tone, intent, visuals, sentiment, and cultural relevance.  How Does an Advanced Brand Safety Approach Keep You a Step Ahead? Our campaign analysis revealed that 7–9% of YouTube impressions ran on Made-for-Kids content, wasting spend on non-converting audiences and weakening brand relevance. Ads were also found on Satta and gambling-related sites, where coded language and neutral-looking metadata slipped past platform filters. These findings underline a clear reality: the most significant brand safety risks lie beyond keywords, in context platforms fail to see.  You would not wish this for your brand, right?  To combat this, an advanced approach, combining AI, NLP, machine learning, enable advertisers to –  Understand content in local and regional contexts By looking beyond keywords to understand tone, sentiment, and cultural nuance in regional and vernacular content. This helps brands avoid placements that may seem safe on the surface but are misaligned with local sensitivities or brand values. Interpret visual and video-led environments In formats like reels, thumbnails, short videos, and OTT content, where text is limited, it analyses visual signals to assess whether the surrounding content is appropriate for a brand. Balance protection with reach By focusing on contextual ads rather than rigid word lists, it reduces unnecessary blocking of relevant inventory while still identifying genuinely unsafe environments. Apply brand safety consistently across channels The same contextual approach is used across YouTube, UGC platforms, OTT, mobile apps, and programmatic media, helping brands maintainconsistent standards regardless of where ads appear. Close gaps left by platform-level checks Using multi-signal, post-bid contextual analysis and continuously updated blacklists and whitelists, it addresses blind spots that keyword and category-based controls often miss—supporting more accurate media brand safety decisions in 2025. Conclusion As content becomes increasingly visual, contextual, and culturally nuanced, traditional brand safety measures can no longer keep up. Platform-level controls are often reactive and lack the intelligence to understand intent, sentiment, or environment. To safeguard reputation while maintaining reach, brands need solutions that adapt in real time, analyze context, and anticipate risks before they escalate. In today’s landscape, where trust is built on perception, updating brand safety strategies isn’t just prudent—it’s critical.  FAQs What are the key aspects of brand safety? Following are the key aspects of brand safety –  Safe and suitable content placement  Context and sentiment understanding  Cultural and regional sensitivity  Fraud, MFA, and AI slop detection  Transparency and advertiser control  Why is keyword blocking no longer effective? Because it lacks context and intent understanding. Keyword blocking often over-blocks safe content and misses unsafe content that uses coded language, slang, visuals, or regional terms, making it inaccurate in today’s complex digital environment.  What are AI slops and why are they a risk to brands? AI slops are large volumes of low-quality, auto-generated content created mainly to attract ad revenue. They often look legitimate but lack credibility and brand-safe intent, increasing the risk of ads appearing next to misleading, low-value, or unsafe content, which can damage brand trust and performance. 

Why Brands in MENA Need to Go Beyond Keyword Blocking Approach for Brand Safety in 2026? Read More »

Brand Infringement

What is Brand Infringement? Its Types, & How to Keep Your Brand Protected in 2026

Blog, Brand Protection /

When customers search for your brand online, they expect to find you. But sometimes, what they find instead is a fake version. A fake website, a counterfeit product, or an offer you never approved. This is the alarming reality brands face today. A brand’s value lies in the unique identity and reputation it builds with customers over time. They create digital representations that are instantly recognizable and trusted. However, that very identity is increasingly being misused by others for unethical and fraudulent gain. Brand infringement isn’t just about copied logos or trademark infringements anymore. It is now more prominent across marketplaces, social media, and other platforms designed to closely mimic genuine brands. What makes this challenge even more complex is how it unfolds if left unchecked — directly impacting customer trust, revenue, and long-term brand equity. Hence, the need to understand what is brand infringement, its types (to be able to identify immediately), and how to keep your brand protected from such threats. Let’s dig in. What is Brand Infringement? Brand infringement refers to unauthorized use of any brand’s trademarked assets, like logo, name, ads, creatives, domain name, products, or any other branding elements. The only goal is to create confusion, harm brand identity, or sell counterfeit products or services. In simple terms, if someone uses your brand identity to mislead customers, divert traffic, or profit unfairly, it comes under the umbrella term of brand infringement. Moreover, due to the expansion of ecommerce marketplaces, complex paid media ecosystems, social commerce, and AI-generated content over the years, it has become a much bigger challenge in 2026. Brand infringement today spreads faster, looks more authentic, and causes damage long before brands can react manually. Common Types of Brand Infringement With digitalization, violators have developed multiple ways to deceive the audience. Below are the most common forms of brand infringement brands face today: Trademark Infringement It is one of the most common forms of infringement. Trademark infringement occurs when a third party uses a brand’s registered name, logo, slogan, visual identity or a combination of the same that a company uses to distinguish its products, solutions, or services from others. Example: An admin of a Facebook group using the name of a legit travel brand without their permission to earn bookings. Read more to know how to protect your brand from domain infringement. Brand Impersonation Brand impersonation is when fraudsters pose themselves as genuine brands using fake websites, emails, messages, or accounts to deceive customers into transacting money, sharing personal data, or sensitive information. Example: A fake customer website claiming to represent banks, airlines, or ecommerce brands to scam users. Counterfeit Fraud Another type of brand infringement, counterfeit fraud involves selling fake or duplicate products on various marketplaces under a brand’s name without authorization, often mimicking original packaging, design, and branding to appear genuine to customers. Example: Fraudsters listing and selling duplicate products of a luxury brand like Gucci, Prada, etc. on ecommerce marketplaces. Copyright Infringement It is another major form of brand infringement. Copyright infringement involves unauthorized use of the original expressions and ideas of another seller. Violators produce counterfeit products or other assets that are visually identical to assets of an existing brand, created with no knowledge of the original brand. Example: Websites or sellers copying a brand’s product descriptions, blogs, videos, or marketing creatives to appear legitimate or improve visibility without authorization. Typosquatting Typosquatting occurs when infringers register domain names (also known as domain squatting) that are slight misspellings or variations of a brand’s official website to mislead users and redirect them to fake websites, counterfeit products, or scam pages. Example: Fake websites with domain names amaz0n.com selling duplicate products under original brand name. Cybersquatting Cybersquatting involves registering or using domain names that include a brand’s trademark with the intent to profit from it, often by reselling the domain, running ads, or redirecting traffic for commercial gain. Paid Media & Search Infringement Paid media infringement happens when third parties misuse a brand’s name or trademark in online ads to divert traffic, inflate ad costs, or mislead users into visiting unauthorized or deceptive landing pages. Example: Affiliates bidding on brand keywords in search ads and redirecting users to competing websites or fake promotional pages. App Infringement App infringement is when fraudsters make fake or misleading mobile applications using a brand name, logo, or identity to trick users into downloading apps, sharing personal information, and making transactions. Example: Malicious apps claiming to offer rewards, cashback, or services under a well-known brand’s name. Social Media Infringement Social media infringement includes fake brand accounts, unauthorized influencer promotions, or misleading giveaways that misuse brand identity to gain followers, engagement, or financial benefits without brand’s approval. Example: Fake Instagram accounts running giveaways using brand logos and visuals to collect personal information from users. The various forms of brand infringement call for high awareness of a brand’s digital surroundings, strict vigilance, and proactive brand protection practices. Get your complete social media brand protection checklist. How to Prevent Brand Infringement? In 2026, brand protection is no longer about reacting to individual incidents; it requires a structured, proactive, and continuous approach. Secure Your Brand Foundations The first step to prevention is ownership and clarity. Brands must ensure their trademarks are registered across key markets and categories, especially where they actively operate or plan to expand. Alongside trademarks, owning critical domain variations and safeguarding brand assets such as logos, creatives, and messaging helps reduce opportunities for misuse at the source. Without strong foundational control, enforcement becomes difficult and inconsistent. Maintain Control Over Your Digital Presence Brands today operate across marketplaces, apps, search engines, and social platforms. Enrolling in marketplace brand protection programs, verifying official social media accounts, and maintaining clear ownership of apps, landing pages, and customer touchpoints ensures customers can easily distinguish between genuine and fake brand interactions. This visibility also makes it easier to identify misuse early. Educate Internal Teams and External Partners Brand protection is a shared responsibility. Marketing teams, ecommerce managers, affiliates, agencies, and resellers

What is Brand Infringement? Its Types, & How to Keep Your Brand Protected in 2026 Read More »

ad fraud

What is Ad Fraud? Answering The Most Asked Questions About Ad Fraud

Ad Fraud, Blog /

Ad fraud is an evolving threat and no longer linear. It is becoming more advanced everyday with AI and automation also contributing towards speed and scale. What once looked like normal bot activity has now become far more sophisticated, subtle, and harder to distinguish from genuine user behavior.  This sophistication of ad fraud raises a lot of questions in the minds of advertisers, marketers, publishers, brand owners, or anyone involved in the digital advertising ecosystem for that matter.  Hence, the purpose of this blog. To ensure you get answers to the most asked questions about ad fraud in one place. We will talk about everything from what is ad fraud to knowing how to respond to it with clarity and confidence.  Let’s get started.  What is ad fraud? Ad fraud is an attempt to generate fake, invalid traffic, or low-quality interactions on digital ads to manipulate campaign results. These interactions often appear real on the surface, such as impressions, clicks, leads, and installs, but actually come from bots, emulators, or click farms.  By using various ad fraud techniques, fraudsters exploit payment models like CPM, CPI, or affiliate commissions. As a result, advertisers lose their ad budget on fake trafficand end up optimizing campaigns based on misleading metrics, leading to campaign inefficiency.   What are the different types of ad fraud? Ad fraud shows up in different forms depending on the campaign objective, platform, pricing model, and even targeting. In case of web campaigns, it commonly appears as fake impressions, invalid clicks, or invalid traffic to exhaust budgets and inflate engagement metrics.   In case of mobile app campaigns, ad fraud is more deeply tied to attribution and installs. Fraudsters exploit CPI and CPA models by generating fake installs, click injections, or install hijacking tactics that claim credit for users who would have installed organically.  In case of affiliate campaigns, it takes the form of fake leads, fake installs, incentivized traffic, cookie stuffing, or unauthorized brand bidding, etc. The intent is to claim payouts without delivering genuine results. This results in poor partner performance, reduced ROI, and loss of trust in affiliate ecosystems.   Get your hands on our ad fraud guide to learn more about different types of ad fraud techniques in detail.  Who is affected by ad fraud? Everyone in the digital ecosystem is affected by ad fraud. Marketers and advertisers suffer direct budget losses and are left explaining poor performance and low-quality leads. Legitimate publishers face unfair competition from fraudulent inventory, revenue loss, reputational risk, and even potential network penalties.   Agencies struggle with compromised data that weakens optimization and client trust. Ad networks and platforms risk credibility, higher operational costs, and compliance challenges. Affiliate managers deal with incentive-driven, low-intent users that inflate numbers while damaging long-term brand perception.  How do I know if my campaigns are being affected by ad fraud? Ad fraud has moved beyond obvious bot techniques that were easier to identify. It has now evolved to mimic real user behaviour. However, to identify if your campaigns are being affected by ad fraud, you must notice the following signals:  Sudden spikes in traffic or clicks without a proportional increase in conversions or meaningful engagement  High engagement metrics but low downstream actions such as purchases, sign-ups, or app usage  Repeated interactions from similar device types, locations, or behavioral patterns that appear “too consistent”  Abnormally short or uniform session durations that don’t reflect natural browsing behavior  Leads or installs that fail validation checks, show no post-conversion activity, or quickly drop off  Campaign performance improving on dashboards while business outcomes continue to decline  Individually, these signals may seem harmless, but they clearly indicate fraudulent or low-quality traffic is manipulating campaign performance.  What is click fraud? Click fraud is a type of ad fraud technique where bots are used to generate fake or automated traffic clicks on ads without any real interest in the product or service being promoted. These clicks are created to look like genuine user interactions, making them difficult to identify at first glance. These fraudulent clicks also trigger actions like app installs, conversions, or website visits, further masking their true nature.  In pay-per-click (PPC) advertising, publishers earn revenue every time an ad is clicked. Fraudsters exploit this model by creating fake websites or placements and artificially inflating click volumes using bots. As a result, advertisers end up paying for invalid clicks that deliver no real value, while fraudulent publishers profit from traffic that was never genuine in the first place.  I often see high clicks but low conversions on my campaigns. Is this ad fraud or just poor performance? High clicks with low conversions do not always mean ad fraud. In many cases, poor performance can be caused by factors such as ineffective creatives, incorrect targeting, slow or confusing landing pages, or a mismatch between the ad message and the offer.  However, ad fraud becomes a strong possibility when certain patterns start to appear.   Sudden increase in clicks without any changes in targeting, creatives, or budgets.  Clicks with little to no intent-driven actions such as form fills, purchases, or meaningful engagement.  Clicks coming from repeated IP addresses or devices.    The key is to look at behavioural signals to identify click fraud. Single metrics can be misleading, but consistent patterns of activity without business outcomes often signal something deeper than normal performance issues.  Do ad platforms like Google and Meta already block ad fraud? How to prevent invalid traffic from Google? Yes, ad platforms like Google and Meta do have built-in systems to detect and block ad fraud. They do filter out a significant amount of invalid activity. However, these platforms operate in a closed ecosystem as walled gardens, hence posing limitations. This means advertisers have limited visibility into how traffic is generated, how users behave beyond surface metrics, and how fraud decisions are made.  This lack of transparency creates blind spots. Fraudsters exploit these gaps using bots, click farms, and automated scripts that mimic real user behavior closely enough to bypass platform-level checks. As a result, some fraudulent

What is Ad Fraud? Answering The Most Asked Questions About Ad Fraud Read More »

Scroll to Top