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MMP- fraud

Enhancing Transparency in Ad Fraud Detection: Moving Beyond Mobile Measurement Partners (MMPs)

In this compelling case study, learn how a leading bank tackled the growing challenge of ad fraud by uncovering significant discrepancies between transaction data reported by its Mobile Measurement Partner (MMP) and its internal backend system. With MMP-reported transactions consistently exceeding the bank’s backend figures by over 50%, it became clear that traditional fraud detection methods were no longer enough to prevent costly inaccuracies and misallocated ad spend.   What you’ll discover in this case study: The limitations of MMP fraud detection and why relying solely on these systems can leave your data vulnerable. How sophisticated bot patterns and event spoofing techniques are evading detection, resulting in inflated metrics. Insights from the bank’s internal audit that revealed key red flags, leading to a broader strategy for improving fraud detection and enhancing transparency. How mFilterIt ad fraud detection addressed these issues to safeguard ad spend and drive more accurate marketing decisions. Download the full case study to see how this financial institution improved its ad fraud detection and regained control over its campaign metrics, paving the way for better-informed decisions and optimized ad spend. Download Submit

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Quick Commerce

Rise of Quick Commerce in UAE: Are You Monitoring Where You Stand vs the Competition?

The Quick Commerce revolution is reshaping the e-commerce business landscape in the UAE at an unprecedented speed.  Convenience and customer-centric services are at the forefront pushing businesses to embrace a rapid online shopping model. As per recent projections by Statista, the Q-Commerce (quick commerce) market in the UAE is expected to reach a revenue of $3.27 million in 2024, with a compound annual growth rate (CAGR) of 7.71% from 2024 to 2029. This growth could drive the market volume up to $4.74 million by 2029 with 1.2 million users.  In this competitive landscape local players are building hyper-efficient delivery networks to compete alongside international giants. For brands, staying ahead requires market and competitive intelligence across platforms and geographies. Leveraging advanced tech-stack for Quick Commerce analytics to gauge where they stand compared to rivals, identify gaps, and explore new opportunities is the need of the hour. Today, it is not only helping brands to stay ahead of competition but also growing business and making it more profitable.   Quick Commerce in UAE  The Quick Commerce market in the United Arab Emirates is experiencing a surge in demand due to the country’s high population density and fast-paced lifestyle. Understanding the dynamics with quick commerce analytics and preparing brands for a transformative journey into the future.   Q-Commerce companies like Noon, Talabat, Carrefour etc. typically operate their own “dark stores” or cloud stores, where personal shoppers fulfill online orders, offering fast, last-mile delivery. The market is dominated by grocery and essential goods deliveries, often fulfilled within an impressive timeframe. With a densely populated urban environment and a significant population of expatriates, the UAE is becoming a prime environment for Quick Commerce growth.   Local providers are responding by enhancing app-based ordering and expanding their services beyond grocery items to include pharmaceuticals, home essentials, and even fresh foods.   Local special circumstances United Arab Emirates has a large expatriate population, many of whom are time-poor and willing to pay for convenience which has created a strong quick commerce market. Additionally, it is fueled by the hot climate in the region, due to which customers are often reluctant to leave their homes to shop.  Quick Commerce Analytics to Lead the Market  UAE’s competitive Quick Commerce landscape requires brands to prioritize performance monitoring through digital commerce intelligence and analytics. Here are some key areas where Quick Commerce analytics help drive product performance vs competitions: Track global & local competitors’ products performance vs yours across eCommerce platforms  Monitor Search of Search and Visibility Share across platforms & locations  Identify new opportunities -demographics or geographies to target in your market segment  Set market strategies based on insights & analytics  Enhance content to suit the local shoppers’ needs by identifying high-performing keywords  What metrics should brands track in Quick Commerce Analytics in UAE  Quick Commerce focuses on ultra-fast delivery, often within an hour or even less. Analytics helps identify any bottlenecks in the process. Real-time actionable insights allow brands to adapt. Monitoring Key KPIs such as pricing, availability, keyword share – discoverability, product detail page performance, etc. across platforms and geographies helps brand to stay ahead of the competition and leverage data-driven decisions.  – Pricing & Discount Trends  Real-time price tracker and comprehensive competitive analysis can help brand set dynamic pricing to ace the game on quick commerce and e-commerce platforms.   – Availability Monitoring  Keep Track of your stock availability across platforms and geographies at a granular level. Going out-of-stock can push your product into highly competitive marketplaces and platforms and lose brand credibility. – Content Analysis (Perfect page analysis) Keep your product detail page title, description, product images of high quality and optimized can give a massive boost to visibility. On Quick commerce platform, it is mostly about the product title that it should pop up when searched. – Digal Share of Shelf Monitoring Key track of your share of search and presence on the digital shelf. Product discoverability is key to staying ahead of the competitors across the digital marketplaces. – Sponsored Banners Performance  Sponsored listing on e-commerce and quick commerce platforms is critical to reach the right audience. Automate the process of sponsored ad spend and bidding process to ensure your budget gets optimized not wasted.   Case Study: Monitoring Availability across Q-com platforms   Objective & Problem Statement: One of the biggest multinational F&B conglomerates wanted to measure, track and grow platform presence and stock availability in the AMESA region. They were already working with an ecommerce intelligence tool but suffered due to limited scaling capability and platform coverage. Moreover, they were not able to customize data insights for the brand.   mFilterIt Deployment: The F&B conglomerate had deployed mFilterIt e-commerce intelligence stack for its presence on all e-commerce and quick commerce platforms in the region. They monitored the products across multiple KPIs across the Middle East & North Africa region. In the UAE region they mainly focused on enhancing its market presence with monitoring availability and optimizing share of search.  mFilterIt Analysis & Inferences: In the UAE they focused on optimizing availability on key platforms Careem, Carrefour, Noon and Talabat for Beverages, Nutritious Food and Snack category.  Fig. 1: Before and after using mScanIt last year at multiple locations on Q-commerce platforms They identified and acted on performance gaps with global dashboard monitoring availability and other core KPIs. With limited availability and platform presence they were losing out on sales. As they started tracking zip-code wise availabilities, the internal teams could be activated for improved performance in every region. This led them to optimize availability versus competition across platforms and geographies on various categories and sub-categories. With growth of around 41% in availability share across platforms the brand expanded its presence and reached the shoppers.   The first checkpoint on optimizing the customers is staying in the race – prevent stock out. The brand grows availability at the dark store level to make sure the availability doesn’t fall behind the competition. A momentary lapse in availability can lead to losing a potential customer. Frequent stock-outs also affect brand reputation

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How to Maximize Your Branding Campaign Reach

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

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impression

Impression Validation: Ensuring Your Ads Reach the Right Audience

In the world of digital advertising, getting your ads seen isn’t enough, you need to ensure that the ad is seen by your targeted audience. It’s about making sure those impressions—when someone sees your ad—are valid and genuinely reaching the right audience. This is where impression validation becomes crucial. It’s the process of verifying that your ad impressions are not only seen but also viewed by the right people who have a higher likelihood of engaging with your content. Why impression validation matters: Eliminating Fake Views The digital advertising space is vast, and not all impressions are created equal. In some cases, ads may be shown to bots, low-quality traffic, or irrelevant audiences. Impression validation helps you filter out these “fake” impressions, ensuring that real people who are interested in your product or service are the ones seeing your ads. This helps you avoid wasting your budget on views that don’t matter. Understanding User Intent Validating impressions is also about understanding how likely a viewer is to engage with your ad. Are they truly in your target demographic? Did they spend time on your page after seeing the ad, or did they scroll past it without a second glance? fraud Detection help assess these behaviours to ensure your ads are reaching the most relevant audience. Optimizing Ad Spend By validating your impressions, you’re able to allocate your budget more effectively. Instead of throwing money at impressions that aren’t adding value, you can focus on those that are likely to drive conversions. This leads to a better return on investment (ROI) and more meaningful interactions with your audience. In the end, impression validation isn’t just about counting views—it’s about ensuring your ad budgets are well spent by reaching the right people with genuine potential to convert into a lead or generate a sale. By focusing on valid impressions, you can optimize your campaigns for greater success and better engagement. To learn more about impressions validation, reach out to mFilterIt.

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Secure Your Brand. Avoid the Pitfalls of ad placements on MFA Sites

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

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Click Tracker: How Accurate Click Tracking Can Save Your Ad Campaign

Digital advertising demands proactive measures to ensure every click is measured and validated.  Approved Click Trackers are now mandatory if anyone wants to track p-max or demand gen campaigns. However, click tracking needs to be backed up with comprehensive monitoring to ensure genuine engagements that reflect the impact of an ad campaign. This is the gap fraudsters exploit manipulating clicks to divert ad budgets without driving real results  Let’s explore what advertisers can do to for click protection, ensuring click integrity and the role of efficient click tracker.   Why use a Click Tracker?  Click Tracker approved by Google helps advertisers track clicks on their ads while maintaining compliance with Google’s advertising policies.   Compliance with Google policies ensures the prevention of malicious or deceptive tracking practices that could negatively impact user experience. Google-approved click tracker meets these standards, ensuring that ad clicks are tracked accurately and provide enhanced transparency. This helps reduce the risk of ad abuse and misreporting, which could otherwise cost advertisers money and distort performance metrics.  Click trackers enable advertisers to monitor ad performance precisely by tracking user behavior. This data includes metrics such as conversions, session duration, and user journey, allowing marketers to better understand the effectiveness of their campaigns and optimize accordingly. Since Google’s ad platform integrates seamlessly with approved click tracker advertisers can implement these tracking solutions without compatibility or functionality issues. By accurately tracking ad clicks and subsequent actions, advertisers gain valuable insights into which keywords, ad formats, and targeting options drive conversions, ultimately leading to higher ROI and relevance through data-driven decisions.  Click Fraud Detection Our google-approved click tracker is more than just a click counter or measurement instead it’s an extension of our capabilities. The follow-up measurement should be clicking fraud prevention differentiating genuine clicks from fraudulent ones with advanced algorithms to analyze traffic, identifying patterns associated with fraud, such as repetitive or high velocity clicks from the same source, and filters them out.   mFilterIt can help advertisers gain visibility into every stage of the conversion funnel, from initial clicks to meaningful user actions. Safeguard ad budgets from making payout for fraudulent clicks and ensures engagements are genuine.  Preventing Click Spam Click spam is where fraudsters generate fake clicks to earn ad revenue or inflate engagement metrics and skew campaign performance metrics. It makes analyzing ad campaign performance difficult with inflated numbers.   Combat click spamming using multi-layered analysis techniques that include deterministic, heuristic, and behavioral checks. This ensures clicks are coming from legitimate IPs or devices, detects suspicious patterns, like a high volume of clicks from a single source, indicating potential fraud. Looks deeper into user behavior to ensure it aligns with expected patterns, filtering out traffic that doesn’t show genuine user intent.   Effective click spam prevention ensures that ads reach genuine users who are more likely to convert, rather than wasting impressions on fraudulent traffic.  Ad Campaign Performance optimization Accurate measurement of clicks and conversions is crucial for assessing ad campaign performance and scaling effectively. Without a reliable click fraud protection, advertisers run the risk of making decisions based on inflated or inaccurate metrics. Click tracker provides the data necessary to analyze and evaluate campaigns with confidence, ensuring that reported clicks translate into real, user-driven events.  -Optimize Ad Spend By focusing on genuine conversions rather than inflated click numbers, ad spend is optimized toward high-quality traffic.  -Scale Campaigns Effectively Accurate data enables advertisers to scale successful campaigns without worrying about ad fraud undermining performance.  -Build Trust Transparent and accurate metrics foster trust between advertisers and their stakeholders, creating confidence in ad effectiveness.  Accurate and fraud-free metrics allow marketers to make data-driven decisions, increase ROI, and scale campaigns based on reliable results.  How mFilterIt help in Click tracking along with Full-funnel protection Brands heavily invested in online display and video ads across websites to build brand awareness and drive engagement. This ensures that transparency in the ad campaign is of utmost importance not just to safeguard ad spending but also to protect brand reputation.  One of the major challenges is when the companies notice a sharp increase in ad impressions and clicks on their ad campaigns, but the result is minimal impact on key engagement metrics. Such discrepancies suggested ad fraud was wasting the company’s budget and skewing data, making it difficult for their marketing team to understand genuine campaign performance and target the right audience.  mFilterIt ad fraud detection and prevention tools for a comprehensive approach to tackle ad fraud, identified and filtered out fraudulent activity across multiple dimensions, ensuring the company’s ad spend was optimized toward genuine engagement.  – Real-Time Conversion-Based Analysis  Analyzed traffic in real-time to detect abnormal patterns, such as sudden spikes in clicks from specific regions, devices, or IPs.  To complement click and impression verification, mFilterIt also tracks user interactions beyond clicks. By analyzing click-to-event conversions filtering out fraudulent clicks that did not lead to real user engagement, ensuring their ad spend was driving actual interactions and interest.  – Bot Detection and Elimination  Artificial intelligence and machine learning algorithms are used to identify bot behavior, distinguishing between automated traffic and real users as bots often mimic human behavior. Our heuristic and behavioral checks flag them off and ensure swift blocking and blacklisting source with automated process.   – Domain and Ad Placement Verification Fraudsters disguise low-quality sites or non-existent domains to pass as premium inventory. mFilterIt ad verification tools helped ensure the company’s ads appeared only on legitimate, brand-safe websites by matching domain data, placement information, and ensuring alignment with the campaign’s target audience.  Conclusion Click tracker serves as a first line of defense, ensuring ad budgets are directed toward genuine traffic, followed by multi-layered full funnel approach with integrated brand safety to optimize campaign performance. It allows brands to measure click-to-event conversion, giving a clearer picture of campaign impact.   As digital advertising continues to grow, so does the need for mFilterIt Click Tracker and Valid8 for full funnel protection, ad traffic validation, ad fraud detection and lead optimization that

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Pricing Intelligence with Real-Time Price Tracking

An effective pricing strategy is crucial for driving sales and staying relevant. With the rapidly advanced technology, companies now leverage pricing intelligence through ecommerce analytics tools and dynamic pricing mechanisms powered by artificial intelligence (AI). Pricing intelligence not only enhances competitive positioning but also maximizes profitability and customer satisfaction, especially on the digital shelf, where visibility and relevance directly impact purchasing decisions. According to McKinsey & Company Report, businesses using pricing intelligence see revenue increase of 5-10%.  What is a Digital Shelf? The digital shelf is the virtual presentation of products on online retail platforms. Like the physical shelf in a shop, the digital shelf displays the product offer of a brand, prices, promotions, and other product information. A digital shelf is much more complex and dynamic as it cuts across different e-commerce platforms and requires constant updates to remain competitive.  Working in this virtual realm requires keeping track of and analyzing so many metrics to ensure products are salient and provided at the best possible prices.  Pricing is critical on the digital shelf on online retail platforms. According to Harvard Business Review, real-time price tracking can reduce pricing errors by up to 30%.  Why is pricing important on the digital shelf?  Pricing is an important aspect of the digital shelf because consumers shop around based on price comparisons between sellers. In case prices are too high, it is likely that intending customers will go shopping elsewhere to find a better price offer from the competition. On the other hand, if prices are too low, profit margins are depleted. Therefore, there must be a balance struck in using data-driven pricing to drive consumer interest and secure brand positioning. According to Forrester Research, organizations using dynamic pricing report a 20-30% increase in conversion rates during peak sales periods.  The following are key reasons why prices are important on the online shelf:  More Sales- Competitive pricing attracts more customers in price-sensitive markets where shoppers are generally quick in comparison.  Improved Conversion Rates- Value-based pricing reduces the abandonment rate at the final stages of purchasing and helps improve conversions.  Better Brand Positioning- An appropriately priced product helps to communicate a value proposition. Either this could be in terms of affordability or high quality.  Customer Loyalty- Fair and consistent pricing will instill confidence and loyalty, ensuring repeated purchase behavior and long-term relationships with customers.  Why is Price Tracker Analytics Important?  The tool is powerful for the observation of the pricing level of the competition and, hence, strategy is price tracker analytics. It tracks prices to keep the brands in the digital shelf position without trailing behind competitors. Here’s why price tracker analytics is of prime importance:  Competitor Analytics  Pricing monitoring allows for the tracking of competitor pricing and promotional activity in real-time to make necessary adjustments in market positioning. For instance, when the competition goes ahead to introduce a discount, they can respond with a similar promotion or value-added services.  Optimized Pricing Strategies  Advanced e-commerce analytics helps businesses understand the optimal pricing structures for specific segments and markets to optimize them. Pricing intelligence enables brands to understand their ideal price points, which maximizes demand while ensuring healthy profit margins.  Dynamic pricing capabilities  With real-time analytics and AI-based dynamic pricing, the outcomes can permit automatic adjustments due to changes in demand fluctuations, seasonal patterns, and fluctuations in competitor pricing. In this way, revenue maximization occurs through supply balance with market demand with a higher flexibility of pricing.  Improved Margin Management  Price trackers do analytics on price trends and enable brands to be best on margin management. Brands can price effectively in real time through actual data on profitability without losing the competitive edge in the market.  Why is a real-time price tracker important?  Real-time price tracking allows businesses to monitor and adjust prices in real time, a necessity in the ever-evolving e-commerce environment. Brands stand to lose customers to competitors better at responding to changes in pricing if they do not track prices in real time.   Here’s why having a real-time price tracker is important:  Instant Price Adjustments   The company can adjust prices right away using real-time data to keep the competition going when competitors do. For example, when a competitor lowers their price, a real-time price tracker will allow the brand to respond quickly and be at the same price, even cheaper, so they won’t lose potential sales.  Informed Decision-Making   This kind of real-time tracking of actionable insights enables brands to make data-driven decisions. They can experiment with price variation discounting, or a package offer and check which performs better and fine-tune it over time, thereby using real-time analytics to do so.  Increased Agility with Dynamic Pricing   Dynamic pricing is very important in high-competition industries, for example, electronics or fashion. AI-driven price trackers allow for dynamic pricing according to demand, time of day, or geographic location to improve the effectiveness of prices without human intervention.  Customer-centric pricing   In customer-centric pricing, through real-time price tracking, the brand will be able to sustain it in terms of affordability and relevance for the potential buyers. This in turn encourages greater customer satisfaction and loyalty because the customer realizes the brand’s commitment to fair and competitive prices.  Metrics That Every Brand Should Track  Real-time price tracker tool enables brands SKUs they wish to track:  Product price across multiple e-commerce and quick commerce platforms   On various pin code  Also, SKUs Product Code, Product URL, Title, and Brand  Track Stock Status  Product ASP, MRP, and Discount   Seller information   Conclusion  Consumers can rapidly compare prices and product options; pricing intelligence is what brands need to stay ahead of the game. The use of price tracker analytics, dynamic pricing, and AI-powered e-commerce analytics tool enables businesses to navigate the complexities of the digital shelf and respond quickly to market changes. Optimal pricing that resonates with customer expectations and aligns with competitive conditions will allow brands to boost conversions, improve profitability, and foster long-term customer loyalty. A strong pricing strategy will make sure that the brands gain real-time insights into keeping the

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