Infographics

In the fast-paced world of Q-Commerce, where customers expect deliveries within minutes, product availability is the key to success. Unlike traditional e-commerce, where buyers are willing to wait, Q-Commerce thrives on instant gratification. A single stockout can mean lost revenue and customers shifting to competitors in an instant. But ensuring seamless product availability isn’t easy. Q-Commerce brands face multiple challenges—from unpredictable demand fluctuations and supply chain disruptions to data inaccuracies and limited warehousing capacity. Managing stock efficiently requires precision, real-time insights, and proactive inventory strategies. So, how can brands stay ahead? Our latest infographic reveals smart solutions to optimize product availability, including AI-driven demand forecasting, automated restocking, and data-driven digital shelf management. Learn how real-time stock tracking and competitive benchmarking can give your brand the edge. Want to know more? Download the infographic now and unlock the full strategy for winning in Q-Commerce! Download Submit

Fraudulent app installs are a hidden drain on marketing budgets, leading to inflated costs and misleading performance metrics. Kuku FM, a leading audio content platform, identified and tackled these issues to ensure its ad spend reached real users. The Challenge Ad fraud can take many forms, from fake installs to misleading attribution tactics. Without proper detection, brands end up paying for downloads that bring no value. Kuku FM uncovered key fraud patterns affecting its campaigns, impacting both budget efficiency and user engagement. The Solution To address these challenges, Kuku FM implemented a strategic fraud detection approach. This involved advanced filtering techniques, in-depth traffic analysis, and campaign-level optimizations, all aimed at eliminating fake installs and ensuring transparency in ad spend. The Impact The results were significant—cost savings, improved transparency, and better user acquisition outcomes. By eliminating fraudulent installs, Kuku FM strengthened its marketing effectiveness and maximized returns on investment. Want to dive deeper into the full strategy and impact? 📥 Download the infographic now to see the complete breakdown! Download   Submit

For any FMCG brand, product availability is critical to driving sales and retaining customers. However, one leading brand faced significant challenges with stock inconsistencies across different regions. The Challenge Despite strong demand, the brand struggled with frequent stock gaps, making products unavailable in key markets. This led to: Lost sales opportunities as customers couldn’t find the products they wanted. Wasted ad spend, with traffic being directed toward out-of-stock products. Declining market presence as competitors filled the gaps. The brand needed real-time insights to track inventory status across platforms and ensure products were consistently available where demand was highest. The Solution: Data-Driven Inventory Optimization To tackle these challenges, the brand leveraged mFilterIt’s digital commerce intelligence to: Gain pin-code level visibility into stock availability. Identify and address stock gaps across online and offline channels. Optimize inventory distribution based on demand patterns. Benchmark their availability against competitors. The Impact With these insights, the brand implemented strategic changes, leading to: 90% product availability (exceeding the industry benchmark of 80%). 45% improvement in supply chain efficiency within 8 months. 16% increase in sales across key regions.  Unlock Your Growth Potential Many brands face similar challenges, but with the right intelligence tools, stock gaps can be minimized, and sales can soar. Want to know the full strategy behind this transformation? Download the infographic now to how the brand acted with key insights! Download Submit

Impression fraud in digital advertising presents a significant challenge for advertisers, posing a serious threat to their marketing budgets by inflating impressions. This happens due to fraudulent activities which include the use of bots to mimic human behaviour, and other sophisticated techniques that manipulate traffic patterns. Such activities not only skew analytics and performance metrics but also lead to wastage of ad budget. Understanding the tactics behind impression fraud and taking proactive steps can help businesses safeguard their advertising investments. Key Types of Impression Fraud: Ad Stacking: Fraudsters stack multiple ads on top of each other, making only the top ad visible while counting all impressions. Bot Traffic: Automated bots mimic human actions, inflating impression statistics and skewing campaign performance. MFA (Made-for-Ad) Websites: Low-quality websites designed primarily to host ads and attract fraudulent traffic. Brand Unsafe Placement: Ads appear alongside harmful or irrelevant content, risking brand reputation. Frequency Capping Breach: Fraudsters reset user IDs to bypass frequency caps, leading to repetitive, fraudulent impressions. Protect Your Brand, Optimize Your Ad Spend Impression fraud continues to threaten digital advertising, but with the right tools, advertisers and brands can safeguard their revenue and improve campaign effectiveness. Let mFilterIt be your trusted partner in protecting your digital advertising investments. Contact Us Today to learn more about how mFilterIt can safeguard your business from impression fraud and maximize your return on ad spend. Download Submit

Over time Mule-as-a-Service (MAAS) have become an underground economy that facilitates illegal money laundering by redirecting Indian funds to offshore fraudsters. It shows how fraudsters set up and use mule accounts to hide the source of illegal cash. This poses a serious threat, slipping through the loopholes of established monitoring systems and allowing fraudsters to exploit payment networks such as UPI, debit/credit cards, and bank transfers often become unwilling participants in these fraudulent schemes, making MAAS a serious threat to financial ecosystems. These gateways facilitate a range of scams, including fake e-commerce platforms, task scams, loan scams, gaming app fraud, and illegal betting. They create and manage extensive networks of mule accounts, rotating them to evade detection by banks. This makes tracing the money trail increasingly difficult and enables criminals to bypass monitoring systems. Techniques used to Detect MAAS To counter MAAS, financial institutions rely on further strategies: Transaction Monitoring with Bank Data: Banks use transaction pattern analysis to detect mule accounts. Detection from Mule Sources: This approach identifies mule accounts on platforms, offering precise results without bank data or complex setups. Proactive Tools and Industry Collaboration: mFilterIt’s mule account monitoring tool scans 25,000+ websites hourly, detecting fraud, capturing proof, and enhancing AI-based detection. mFilterIt identifies 18,000–20,000 mule accounts on regular basis and collaborates with banks, regulatory bodies, and payment platforms to stop this threat from happening. Manage Mule Accounts Effectively  Mule-as-a-Service is a growing threat to financial systems, posing significant risks to both brand safety and financial integrity. This infographic will show how mFilterIt’s innovative solutions can help to secure financial networks. Download Submit

Running a successful branding campaign requires not only creativity but also precision and efficiency. Marketers are constantly looking for ways to improve their ad performance, optimize budgets, and ensure their messaging reaches the right audience at the right time. However, many digital campaigns face significant challenges—whether it’s invalid impressions, limited reach, or issues with frequency capping. Common Branding Campaign Challenges Invalid Impressions One of the most common issues facing digital marketers is invalid or fraudulent impressions—ads that are viewed by bots, irrelevant audiences, or through incorrect placements. These impressions drain advertising budgets without offering any real return on investment (ROI). In the case study for a leading FMCG brand running a branding campaign, we observed that one-third of the impressions were invalid, resulting in wasted budget. How mFilterIt Helps By using AI-driven rule engines, our system can analyze traffic sources and pinpoint where the waste is occurring, enabling brands to block these invalid impressions. This allows the campaign to focus on genuine ad views that are more likely to convert into sales or brand engagement. The shift with this insight and weeding out invalid traffic helped improve campaign effectiveness, ensuring that the budget was optimized for maximum reach. Device Repetition Another critical issue we identified was device repetition, which accounted for 26% of the campaign impressions. Device repetition occurs when ads are shown to the same user more than necessary, violating the brand’s frequency cap (the threshold of the number of times an ad should be shown to the same user). This issue often leads to a poor user experience, which can diminish brand perception and overall engagement. How mFilterIt Helps In the case study, we detected that the frequency cap was exceeded, causing ads to appear more than the brand’s set limit of three times per user. By monitoring frequency capping violations and real-time tracking, we prevented overexposure, ensuring a better user experience. How mFilterIt Protects Your Campaigns Our multi-layered fraud protection works across both pre-bid and post-bid stages to verify the validity of each ad impression, detect any fraudulent activity, and block unwanted traffic with AI-ML-based detection and real-time reporting. Detailed insights into campaign performance help you make informed decisions about where and how to allocate your budget for maximum ROI. Whether you’re dealing with device repetition, invalid impressions, or frequency cap violations, mFilterIt helps you address these issues efficiently. Download the Infographic for Full Insights To gain deeper insights into the effectiveness of our solutions, we invite you to download the full infographic that highlights the results of this case study. It will walk you through the challenges faced by the FMCG brand and how our fraud detection tools identified and resolved key issues. Don’t Let Your Ad Budget Go to Waste Take control of your digital campaigns with mFilterIt and ensure that your ads reach real users in the best environments. Contact us today to learn more about how we can improve your branding campaigns. Download Submit

The “Made for Ad” or MFA sites are a revenue-generating classic with little or almost no meaningful content for users. These ads have a large reach, lots of numbers but zero authentic engagement. According to a recent study by ANA, 21% of the impressions come from the MFA websites. This means that an average of 15% of the ad spends are wasted due to these clickbait websites. Sadly, many brands get caught out in this kind of advertising trap with ad placement alongside content that’s either low quality or irrelevant content. Many of these sites use pixel stuffing, ad stacking, and other such tactics that skew their real engagement statistics. The result: for brands high impressions but no or very low genuine engagement with fraudulent or invalid traffic. Impact of ad placement on MFA Websites The content and user experience on these websites are way lower than what an advertiser can expect for an ad placement. Users are navigated to non-relatable ads, providing a confusing user experience and in the majority of cases they are also directed to false navigation buttons, to increase page views per session. Brand Reputation Damage: Having your ad placed on a low-quality site can damage the reputation of your business as consumers associate your business with such low-quality advertising sites. Lack of genuine Engagement: Pixel stuffing, ad stacking, and other such methods are used to inflate numbers and reflect fraudulent engagement. The illusion of high engagement metrics misleads and wastes brand resources. Limited Reach and Exposure: Ads placed on MFA websites cannot reach real people effectively, making brand recall where it is needed very little. Lack of Contextual Relevancy: Most viewers who access MFA websites are not in any way willing to purchase and/or interact with the target content or product, leading to dismal finding follow-up and therefore a low conversion rate. Misleading Clicks and Click Fraud: This is also quite common practice with MFA sites – click fraud, the act of creating the false appearance of website popularity through clicks that do not yield sales or any other desired behavior. Ad Budget Drainage: Since the chances of impressions converting to sales are minimal, MFA site ad placements are likely to be wallet-draining without any positive ad-return chances. Take Control of Your Brand Safety To respond to such threats to brand equity and brand safety, secure ad placement coupled with contextual relevancy with accurate and timely pre-performance identifying and blocking is a critical component. If you wish to gain an insight into the risks involved, download the infographics now or get in touch with us for further details. Download Submit

FMCG brands investing heavily in online advertising, this make ensuring brand safety a top priority, especially for as these brands expand their reach across diverse platforms, they risk associating with inappropriate or harmful content, which can damage their reputation and customer trust. A major FMCG brand faced this exact challenge, discovering that despite substantial ad spend, their video placements were appearing in unsafe environments, impacting the brand’s perception and risking long-term loyalty. Here’s how they turned the situation around with a focused approach to digital brand safety. Ensuring Brand Safety in a Complex Digital Environment With the exponential growth of online video content, it’s become increasingly difficult to monitor and manage ad placements across the web. This FMCG brand found its ads running alongside content that was incompatible with its image, despite following standard targeting practices. Traditional safeguards were insufficient, as ad placements were still occurring near unsafe content, including sensitive categories like adult content, piracy, terrorism, and profanity. Realizing that this was jeopardizing their brand equity, the company sought a solution that went beyond basic keyword targeting. A multi-layered approach to tackle brand safety challenge. Context, Content, and Sentiment Analysis Beyond simple keyword filters, we used contextual relevance and sentiment analysis is needed to ensure ads only appeared alongside content that aligned with the brand’s values. The deeper analysis can captured the tone and context, not just the words, to maintain brand integrity. Regional and Vernacular Language Support Brand safety isn’t a one-size-fits-all model.  A deep understanding of regional contexts and languages is needed to analyse content in local languages, capturing nuances and specific cultural sensitivities that could impact brand perception. Along with global contextual understanding, a localized approach is also needed to safeguard the diverse markets. Video Frame Recognition Tech Do not solely rely on metadata, scanned each frame of video content. The meticulous approach allows brands to avoid ad placement or association with visually inappropriate content, offering a strong layer of protection that text-based analysis couldn’t match. Industry Standards Advertising Regulation Compliance Adhered to the global media guidelines, classifying channels and content into brand-safe or unsafe categories based on industry standards. This framework allowed the brand to align with global best practices in advertising safety. Active Blocking in Real-Time Active blocking is needed as a real-time response to ensure the brand’s ads get pulled out from any potentially harmful content as soon as it gets detected. Reduction in Unsafe Placements with mFilterIt Following the implementation of the mFilterIt brand safety solution, the FMCG brand experienced an 83.1% reduction in unsafe placements. The brand saw a noticeable drop in exposure to unsafe content, helping maintain brand reputation Curious About the Impact? For a closer look at how digital brand safety tools can transform your campaigns, download our detailed infographic. Take the first step in protecting your brand reputation with mFilterIt! Download Submit

Every click truly matters! With so much invested in digital ads, brands are relying on each click to be authentic and meaningful. However, the reality is quite upside down! Click fraud has become a common issue that can drain ad budgets, skew campaign performance measurement, and leave advertisers questioning the integrity of their data. Focus on what truly matters: Effective customer engagement and meaningful conversions. Ensure your ad dollars are spent on real engagement and your ad campaigns can deliver genuine results, filtering out invalid clicks, and maintaining click integrity. Download Submit

To stay on top of your digital marketing game, safeguarding your programmatic ad campaigns from fraud is paramount. Ad fraud can drain your budget, distort your performance metrics, and threaten your brand’s reputation. Protects Your Digital Ad Campaigns Advertisers need comprehensive protection against fraudulent activities. Here’s how it ensures the integrity and effectiveness of your programmatic advertising: Identification and Filtering of Invalid Traffic Meticulously analyzes traffic to identify and filter out invalid clicks and bot activities. This ensures that your ads are seen by real people, enhancing engagement and conversion rates. Automated Blacklisting By automating the blacklisting of suspicious traffic sources, continuously cleanses your traffic, prevent fraudulent sources from inflating your ad spend. Enhanced Transparency Accuracy in measurement and weeding out invalid or fraudulent traffic build trust and transparency allowing for more informed decision-making and improved ROI on ad spends. Fortunately,  mFilterIt offer robust protection, ensuring that your ads reach real, relevant audiences and deliver genuine engagement. Case Study: mFilterIt’s Impact on Search Campaigns A global automobile company faced a significant challenge with low conversion rates and engagement despite substantial spending on Google search campaigns. Here’s how mFilterIt turned the situation around: Ad Traffic Validation mFilterIt started by validating the incoming traffic to ensure that only genuine, interested users were engaging with the ads. Blacklisting Traffic Anomalies Anomalous traffic patterns were identified and blacklisted, cutting off fraudulent sources. These actions led to a remarkable improvement in a short period. Let’s look at the numbers: By The Numbers: Client Success with mFilterIt 13% Drop in Click Fraud: By filtering out invalid clicks, the company saw a significant reduction in click fraud, ensuring their budget was spent on real potential customers. 11% Drop in Lead Fraud: With improved traffic validation, the quality of leads improved, resulting in a noticeable drop in lead fraud. $1.2 Million Saved Due to Active Blacklisting: The automated blacklisting process saved the company a substantial amount in ad spend that would have otherwise been wasted on fraudulent activities. mFilterIt Impact: 1.75X Increase in Conversion Ratio The most compelling outcome was the dramatic increase in the conversion ratio. By ensuring that ads were only seen by genuine users, the company experienced an improvement in their conversion rates. This not only validated their investment in mFilterIt but also demonstrated the power of effective ad fraud prevention. Conclusion Ad fraud is a significant threat to digital marketers, but with the right tools, it can be effectively managed and mitigated. mFilterIt provides the necessary protection to ensure your programmatic ad campaigns are reaching the right audiences, optimizing your ad spend, and ultimately driving better business results. Protect your digital ad campaigns with mFilterIt and witness the difference in performance and ROI Download Submit