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How Lead Punching Fills Your CRM with Junk Leads—and What You Can Do About It

Blog, Ad Fraud /

Imagine a bucket with a small but constant leak. You pour water daily, yet the water level barely rises. Running lead campaigns with junk leads in your CRM is similar.   You’re investing resources, yet the actual value doesn’t grow. Junk leads, like leaks, waste resources, and hold back growth, leaving your team stretched and chasing unqualified prospects.  For a digital brand investing heavily, the pain point is clear: valuable marketing and call center resources are wasted on unproductive leads, reducing campaign efficiency and conversion rates. One of the sure-fire methods is lead punching used by fraudulent publishers to get money out of advertisers.   The only catch here is – Lead punching only helps these publishers get money, the advertisers are only left with false, or junk leads.   What is Lead Punching? Lead punching is one of the fraudulent practices used by dishonest publishers or affiliates to deliberately submit false lead information, using real names, phone numbers and email ID of a person. This information is easily accessible across multiple sources at a minimal cost, which makes it easy for fraudsters to exploit. They use this data to fill out lead forms, ensuring the details appear legitimate.   However, in reality the real person is not aware of filling in the lead form or even having interest in the service. Therefore, when the sales team follows up, these supposed leads deny submitting any form or even knowing about the company.    This forms easily 30-40% of the total leads which a typical client receives. So not only is the advertiser losing media budget by paying for these junk leads, but they also end up burning call center costs in calling up these leads. Marketing teams also add these leads into a CRM and do Email / WhatsApp marketing on these. Now they waste further money in reaching people who have no interest in their products.   Many advertisers try to implement CAPTCHAs and OTP to prevent bot-driven leads. However, these techniques can also be bypassed. Using disposable phone numbers, OTPs can be bypassed. There are also Captcha solvers available at just one click.  Therefore, implementing these checks cannot guarantee clean leads.   How does it impact CRM health?   – You waste marketing spend on irrelevant leads When marketing budgets drive unqualified traffic, a significant chunk of that spend is essentially wasted. Over time, these costs add up, creating a heavy financial toll on lead generation campaigns that fall short of delivering qualified prospects.  – Your call center team spends time calling irresponsive and irrelevant leads Junk leads consume precious time, especially for call center teams and sales representatives. Every call, follow-up, and email sent to an unqualified lead diverts resources from real prospects, reducing the efficiency and morale of your team.  – You miss the 5-minute rule According to this rule, the chances to connect with a prospect increases 100 times when connected within 5 minutes instead of waiting for an hour.  With resources tied up on low-quality leads, high-potential prospects might get lost due to delayed follow-ups or overlooked engagement. Junk leads indirectly lead to missed revenue opportunities by diverting the attention of your team.  – Your brand name loses credibility Repeatedly reaching out to leads who lack interest can be a poor reflection on your brand. In some cases, it may even create negative associations if potential customers perceive your company as inattentive or misaligned with their needs.  Strategies to Eliminate Junk Leads and Focus on Quality  Taking control of your lead quality requires a well-structured approach, integrating technology and a clear strategy at each step of the funnel. Here’s a roadmap to clean up your lead pipeline and prioritize high-value prospects.  1. Clean Traffic and Fraud Prevention  Start by eliminating invalid traffic sources and preventing fraud with real-time validation tools. Filtering out traffic that doesn’t meet quality standards early on ensures that only leads with genuine potential enter the funnel. By removing these invalid visits at the start, you create a cleaner foundation, setting the stage for more effective lead nurturing and conversion efforts.  2. Intent-Based Visit Analysis  Once you’ve ensured traffic quality, dive deeper by analyzing the intent behind each lead’s visit. Look at the behavior of leads on your website—time spent, pages visited, and actions taken. This stage is crucial for gauging how interesting a lead truly is. Intent-based analysis lets you sort out window-shoppers from those genuinely interested in your product or service, allowing your team to prioritize leads that show clear signs of potential.  3. Lead Scoring and Validation with CRM Integration  For an optimized lead funnel, integrate your CRM with automated lead scoring tools that assess demographic data, engagement level, and previous behavior. Leveraging AI and ML-based technology, you can assign scores to leads based on these criteria, making it easy to prioritize high-potential leads. With a streamlined CRM, your sales team can focus their follow-ups on leads more likely to convert, saving time and increasing productivity.  4. Funnel Optimization and Junk Lead Filtering  With a system in place to identify quality leads, refine your funnel by regularly reviewing and tweaking the criteria that classify leads. By tightening filters and adjusting scoring parameters, you can progressively reduce the entry of junk leads, creating a cycle of continuous improvement in lead quality.  How mFilterIt validate leads on the CRM?   mFilterIt’s solution empowers advertisers with transparent, data-driven insights into CRM data. By collecting key metrics—such as website behavior, sales funnel, revenue, and attribution data—this mechanism uses advanced AI & ML algorithms to analyze each lead’s journey. The unique rule engine provides in-depth conversation and attribution analytics, categorizing users by intent (high, moderate, or low). This user-intent scoring, combined with visit analytics, gives advertisers clarity on lead quality and helps optimize campaign efforts. The solution enables brands to focus on high-intent leads, ensuring accurate reporting and maximizing ROI from their CRM data.  Clean Your CRM with Advanced Technology  For marketers, the focus shouldn’t just be on generating leads but on ensuring the quality of each one. By investing in

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impression

Impression Validation: Ensuring Your Ads Reach the Right Audience

Blog, Ad Traffic Validation /

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

Blog, Ad Fraud Blog - Valid8, Ad Traffic Validation /

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

Blog, Digital Shelf Analytics /

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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Smart Contextual Ads: AI-ML Checks for Perfect Ad Placements

Blog, Brand Safety & Suitability /

The challenge isn’t just about reaching an audience—it’s about reaching the right audience in the right context. It’s about ensuring ads are placed in settings that resonate with users and amplify engagement. Contextual advertising offers a powerful way to do this leveraging AI and machine learning (ML) to elevate contextual ad targeting to new heights. It allows highly relevant and brand-safe ad placements that are strategically aligned with brand goals.    Let’s explore how AI-ML tech can redefine contextual ad placement and ensure each ad resonates with precision.   Contextual Ad Targeting with AI–ML  Context Matters! Users today are more receptive to ads that fit seamlessly into the content. They engage with relevant placements while irrelevant placements can feel intrusive. Contextual relevancy ensures that an ad appears alongside content that complements the ad’s message.   With AI-ML-powered contextual targeting, brands can go beyond basic keyword matching to place ads at relevant spots and engage seamlessly across web, video, OTT, or social media platforms.    Ensure the placement aligns with brand campaign goals and is contextually relevant for the audience covering multiple aspects to ensure relevancy.   Keyword search with contextual understanding: Discover optimal ad placements across digital platforms. AI-ML-powered tools help ensure that each ad appears in a relevant context and reaches an audience more likely to engage. Contextual targeting AI goes deep into page content, identifying keywords, themes, and semantics to ensure the ad aligns well with the page’s overall subject matter. That’s where text analysis isn’t enough without contextual understanding evaluating the meaning and sentiment behind keywords to ensure the ad placement fits with the page’s context.  AI-enabled Frame-by-Frame Video Analysis: For video ads, frame-by-frame analysis identifies visual cues, themes, and context within video content, ensuring that ads appear in safe and relevant video settings. Identify objects, faces, logos, audios, actions, on-screen texts, sentiments, and more. This prevents ads from appearing in irrelevant or unsuitable content, enhancing the viewer experience.  Sentiment Analysis: Sentiment analysis allows AI to detect the emotional tone of content, filtering placements to avoid negative or controversial content that may harm a brand’s image. By identifying emotions, symbols, and tones, brands can be sure their ads appear only in positive or neutral environments.  Image analysis: With image recognition, AI scans visuals to detect symbols, logos, and content quality, further ensuring ads don’t appear next to unsuitable, sign, symbols or low-quality imagery.   Brand Relevancy and suitability for effective targeting  Push the limits of contextual brand suitability with AI across content your users are actively engaging with, and analyze your videos in real-time to check content, context, sentiments, engagement metrics, and organic influence for ad alignment.  Identify if the ad placement is suitable or not based on inputs such as:   Ad Briefs   Target Audience   Target Geography   Engagement   Brand Safety   Brand Ambassadors  This helps whitelist ad placement and provides contextually relevant ad placement for brands across web and video ad platforms.   Contextual Brand Relevance enables advanced AI-based contextual level targeting that focuses on elements, logos, faces, keywords, objects, sentiments, and more for brands to choose right ads at the right place.  Set custom inclusion and exclusion themes specific to each brand’s risk tolerance levels  Brand safety without over-blocking filters out unsafe content before an ad impression is served  Content-aligned brand protection that combines brand safety with context, leading to higher ROI  mFilterIt provides custom targeting and exclusion themes and accurate detection of unsafe content across a comprehensive set of brand safety categories as per the GARM guidelines.  Make your brand stand out with Contextual Targeting mFilterIt covers multiple platforms that include YouTube, Instagram, OTT and various formats like Open Web, Videos, Facebook, Instagram Reels, YouTube Shorts, OTT shows or episodes to enhance brand recognition & recall with appropriate ad targeting at the right place.  The targeting capabilities include:    Demographical and geographical – Age, gender, countries, regions, cities, languages, etc.   Device targeting – Laptops, tablets and mobiles Context-relevant video level – Logo, emotions, audio, landscape and locations, etc. Conditional targeting – Keywords, reels & shorts, and other platform-recommended video and open web, etc.   Ad Performance optimization with Contextually relevant placement   Precision Targeting with High-Intent Users: AI-ML contextual ad targeting doesn’t just place ads in relevant content, but it also reaches the relevant audiences with a high likelihood of engagement. With high user intent and genuine content interactions, ad placements are likely to yield better results with more precision, more conversion, and enhanced return on investment (ROI).  Enhanced VTR and Click-Through Rates (CTR): Contextually relevant placements generate higher View Through Rate (VTR) and Click-Through Rates (CTR). More users watch the entire ad when ads appear in content that genuinely interests users, they are more likely to watch, click, and engage, resulting in higher performance metrics.  Customized Placement Based on Campaign Goals: AI-ML tools allow brands to customize placements based on specific campaign goals, whether they aim for brand awareness, lead generation, or direct conversions. This flexibility means that every ad placement aligns with the strategic purpose of the campaign.  Advantages of leveraging mFIlterIt for Contextual Ad Targeting:  Precise content curation: Ensures only content-aligned, high-performing, and brand-suitable videos pass-through for final ad placement.   Granular targeting: Narrows affinity-based targeting to control who your ad reaches – while minimizing ad waste.   Higher engagement: Ad alignment across relevant and high-performing content ensures your ad reaches your target audience in a desired environment. Enhanced user experience: Users experience ads that are relevant to their current state of mind, leading to higher engagement.   Positive brand recall: Contextually relevant ads are less intrusive and more engaging, leading to a more positive brand recall, clicks, and views.   Data privacy compliance: Reach your most engaged audience, without collecting reams of personal data.  Conclusion  Contextual advertising powered by AI-ML technology has created unprecedented opportunities for brands to reach audiences in the most relevant and impactful way. It not only checks for keywords to identify relevancy but also conducts contextual content analysis, image analysis, natural language processing,

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Ad Fraud Prevention across Programmatic advertising landscape in the USA

USA, Blog, Programmatic /

Programmatic has become the powerhouse behind ad placements in the U.S. However, alongside its growth, ad fraud has also skyrocketed, posing a significant challenge for brands trying to make the most of their digital ad spending. Ad fraud costs U.S. advertisers billions each year, and the automated process makes it increasingly difficult to detect and prevent.   According to mFilterIt reports, bot traffic remains one of the biggest culprits, making up an estimated 20-25% of programmatic ad impressions. Meanwhile, the ANA report says low-quality “made-for-advertising” (MFA) sites account for roughly 10-15% of programmatic spending, delivering little value as they exist solely to serve ads on poorly engaging or irrelevant content. Even the burgeoning Connected TV (CTV) sector isn’t immune, with up to 17% of CTV programmatic impressions deemed fraudulent. Ad fraud solution with integrated brand safety is the key to optimizing programmatic ad campaigns.  Are you aware of fraudulent or invalid traffic in your programmatic ad campaigns? The need for full-funnel protection with AI, ML-driven solutions, and real-time analysis, has never been greater.  Why is programmatic a black box?  Programmatic advertising is often described as a “black box” due to the complex, largely automated processes that operate behind the scenes, making it challenging for advertisers to see where their ads end up, how budgets are spent, and the actual impact of their campaigns.  Massive Volume Makes It Hard to Track: Massive volume of ad impressions served daily, programmatic operates on an enormous scale, making it difficult to monitor each ad placement. Ads are distributed across thousands of websites, apps, and devices, creating a web of tough placements to trace without advanced tools.   Viewability metrics Alone aren’t Enough. They don’t tell the full story. Many advertisers focus on viewability, but an ad might be “viewable” but still appear in an irrelevant or low-quality context, or worse, on a fraudulent site. Viewability is just the tip of the iceberg in determining if an ad placement is valuable.  CPM is not the true reflection of ad performance: A go-to metric in programmatic, Cost-per-thousand (CPM) doesn’t necessarily reflect ad performance. As they do not show the genuine engagement generated or conversions. Moving beyond CPM for ad performance measurement and focusing on true performance metrics gives a clearer picture of campaign effectiveness. Transaction-wise analysis is a major problem: Transaction-wise analysis can reveal which sources drive real value versus those that don’t. Programmatic transactions happen in milliseconds, and each one is an opportunity to optimize or lose value. Advertisers may be paying for impressions that don’t deliver ROI, amplifying the “black box” problem.  Need for AI & ML Tools for Better Transparency: Artificial intelligence (AI) and machine learning (ML) tools can help analyze data at scale and are essential for breaking open the black box. Track ad placements in real time and identify patterns of low-quality or fraudulent traffic. Dig deeper into their programmatic campaigns, ensuring ads appear in relevant, brand-safe environments and that budgets are spent effectively.  Here are some additional reasons to consider programmatic advertising “Black box”  Fraudulent Traffic and Ad Waste: Click fraud, bot traffic, and ad stacking are prevalent in programmatic advertising. Without adequate validation, advertisers might pay for impressions that never reach a genuine audience.  Limited Performance Metrics: Programmatic platforms may restrict access to granular performance metrics, offering only top-level KPIs. This limits advertisers’ ability to make informed decisions and optimize campaigns effectively.  Complex Supply Chain: Programmatic advertising involves multiple intermediaries, including supply-side platforms (SSPs), demand-side platforms (DSPs), ad exchanges, and data management platforms (DMPs). Each layer takes a portion of the advertising budget, but transparency on costs and value added by each is often missing.  Lack of Transparent Data: Advertisers frequently lack access to the complete data trail across the ad supply chain. This makes it hard to track where ads are being served, who is viewing them, and whether they are reaching the intended audience.  Data Discrepancies Across Platforms: Advertisers often face data inconsistencies between platforms (e.g., discrepancies between ad platforms and analytics tools). These inconsistencies make it challenging to evaluate ROI accurately.    High Reliance on Algorithms: Programmatic platforms rely heavily on machine learning algorithms for targeting and bidding. These algorithms operate as “black boxes,” with little transparency into how they make decisions or optimize for specific goals.  Brand Safety and Ad Placement Risks: Without control over ad placements, brands risk their ads appearing alongside inappropriate or harmful content, which can damage brand reputation. Solutions to ensure brand safety often come with additional costs.  Lack of Accountability: With limited insight into who is responsible for performance issues within the ecosystem, advertisers struggle to hold intermediaries accountable for missed KPIs or wasted ad spending.  A clearer view into the “black box” of programmatic advertising with mFIlterIt enables more transparent, performance-driven campaigns that truly optimize ad spending.  The Issue in Programmatic Advertising   Programmatic advertising faces a range of issues that can dilute campaign effectiveness and drain ad budgets. That includes:   Fraudulent Impressions: Bots or non-human traffic generate false ad views leading to fraudulent interactions, inflate metrics without engaging real customers, waste Ad spending and skew data analytics. Advanced fraud detection tools such as mFilterIt can effectively distinguish between legitimate users and malicious bot traffic.  Made-for-Advertising (MFA) Sites: MFA sites are created solely to host ads, with minimal, often low-quality content. These sites prioritize ad placement over user experience, resulting in low engagement and poor ad performance. Identifying and avoiding MFA sites helps advertisers focus on genuine, content-rich environments where ads are more likely to reach and engage real users.  Identify and weed out traffic from Invalid Geographies: Programmatic campaigns sometimes face issues with ads being served in locations outside the target audience’s region. Invalid geographies, where ads might not be relevant, can dilute the effectiveness of a campaign and waste budget on non-converting audiences. Geotargeting and refined audience filters can help ensure ads reach relevant locations.  Frequency Capping: Without effective frequency capping, programmatic ads may be shown to the same user excessively, leading to ad fatigue and negative brand perception.

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Black Friday Sale with eCommerce intelligence

Black Friday 2024: Be the top pick of the shoppers with Digital commerce Intelligence

Blog, Digital Shelf Analytics /

The world’s biggest digital sale event is inching closer by the day. The month of November marks the beginning of a massive sale season as Black Friday and Cyber Monday are now not limited to the USA, it has become a global phenomenon. Black Friday holiday spending in 2024 will grow 2.5-3.5% YoY in 2024, reaching around $985 billion globally and on expected lines will yield more value for purchase this season.  However, the challenges have also enhanced with growing demand, convenience, and technology. The fiercely competitive e-commerce space now needs brands to gear up with advanced AI-ML-powered tech for intelligence that can boost performance and help ahead in the competitive space.   Also optimizing the entire marketing effort is the key to making the most of this season.   Black Friday 2024 Expectation  Last year in November, $123.5 billion was spent online! Expectations are quite high this season as every brand across the categories of the bandwagon to score high on the Black Friday sale.   Monitor Pricing and Promotions Trends  Brands must be aware of key trends across marketplaces and what competitor brands are targeting. Low ticket purchases and demand for fashion products and beyond propelled in terms of order volume, but Amazon sold items of higher value during the same period with a massive rise in numbers.   Finding the right balance between pricing and volume is crucial. Offering attractive discounts and deals can drive higher sales volumes, but brands need to ensure that they don’t compromise their profitability. Strategic pricing strategies can help achieve this balance.  Track In-stock and out-of-stock items  Brands must keep real-time track of their stock status, in-stock product availability tracking, and monitoring when & where the products are going out of stock. The stock situation is key during the festive season. Brands must keep track of the trends to set promo offers and match stock to meet expected demand.  Match product demand with Order Fulfilment  One of the critical aspects of these event days is ensuring efficient order fulfillment. Brands need to ensure that they have enough stock available in their warehouses to meet the increased demand during the sales period. Having the right amount of inventory is crucial to avoid stock-outs and ensure customer satisfaction. Also maintaining a well-stocked warehouse is essential to cater to the surge in orders during these events. Brands need to anticipate the demand and stock their warehouses accordingly to prevent any inventory shortages.  Optimize Season specific Sponsored Banner  eCommerce ad banner performance is key to upswing sales during the festive season. Brands must keep track of banner keyword performance, display targeting, and category targeting. Using season-specific banners and advertisements helps brands grab the attention of shoppers who are actively looking for deals during these events. Ensure your banner theme and keywords are compelling and drive more traffic to their online stores.  Need for Digital Shelf Intelligence to Ace the Black Friday Shopping Rush  As brands gear up for the highly competitive Black Friday shopping rush, the need for Digital Shelf Analytics becomes increasingly critical. In a landscape where consumer expectations are high, and competition is fierce, leveraging advanced analytics tools such as mFilterIt can make a significant difference in performance and sales outcomes.   Here’s a closer look at the key components of Digital Shelf Intelligence and their impacts:  PDP Content Optimization  The digital shelf is crowded with options, and consumers are more discerning than ever. Ensuring that product listings are not only visually appealing but also informative can significantly influence purchasing decisions.  Image analysis: Monitor and analyze own brand health, checking for the presence of high-quality product images, pixel threshold, DPI threshold, white background, 85% space, brand inclusion, subbrand inclusion, and product variant inclusion.   Check Content Score: Title scores own and competition, SEO friendly, title length, title, product benefits, support images, video presence, description length, brand in description, A+ content, ingredients present  This leads to enhanced user experience and increased conversion rates. By analyzing successful own vis-a-vis competitor listings, mFilterIt can provide actionable insights into what content resonates most with shoppers. This enables brands to refine their product pages, making them more attractive and informative.  Keyword Share Monitoring  Visibility is everything. Identifying the most effective keywords can ensure that products rank higher in search results, attracting more traffic to listings. This is especially crucial during peak shopping times like Black Friday when shoppers search for deals.  mFilterIt offers keyword analysis tools that track keyword performance and market trends. By understanding which keywords drive traffic and conversions, brands can optimize their product listings and advertising strategies to enhance visibility and drive sales.  Pricing Analysis versus Competition  Price sensitivity is a major factor during sales events. Brands must keep a close eye on competitive pricing to remain relevant in the marketplace. This not only helps in setting attractive prices but also aids in determining promotional strategies that can lead to increased sales volume without sacrificing profitability.   With pricing intelligence features, mFilterIt enables brands to monitor competitors’ pricing strategies in real time. This insight allows brands to adjust their pricing dynamically, ensuring they remain competitive and appealing to cost-conscious consumers during the Black Friday rush.  Product Availability Insights  Stock availability is a crucial element in capitalizing on shopping surges. Running out of stock during high-demand periods can lead to lost sales and frustrated customers. Understanding stock levels allows brands to anticipate demand accurately and manage inventory efficiently.  mFilterIt provides real-time inventory tracking and forecasting, allowing brands to make informed decisions about stock replenishment. This proactive approach helps prevent stockouts and ensures that popular items remain available to customers throughout the sales period.  Rating & Reviews Analysis  Consumer trust is heavily influenced by ratings and reviews. Positive feedback can enhance a brand’s reputation, while negative reviews can deter potential buyers. Monitoring customer feedback is essential for improving product offerings and addressing any issues quickly.  mFilterIt analytics capabilities allow brands to track and analyze customer feedback effectively. By identifying common themes in reviews, brands can make necessary adjustments to products

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shop-image

Digital Shelf Monitoring for E-Commerce: Cover Every Store & Pin Code

Blog, Digital Shelf Analytics /

The Indian e-commerce sector is in a state of rapid transformation, with experts projecting it to hit an astonishing $400 billion+ by 2030, powered by a 19% annual growth rate, according to Inc 42 report. With this kind of momentum and each one vying for prominence on the digital shelf in a market as sprawling and diverse as India brands must dig deeper, focusing not only on top-tier cities but extending their reach into every dark store and at the pin code level to get the true picture.   The major challenge faced by brands is scaling, covering multiple platforms and categories. This requires a solution such as mFilterIt that covers more than 150 platforms globally with all pin-codes.   Brands aiming for success need to look beyond traditional ways, integrated multi-platform intelligence is needed. Competition is fierce, digital intelligence is the key to unlock brand success across platforms.   Trends Shaping Indian E-commerce Expansion Across Tier-2 and Tier-3 Cities: The growth of e-commerce extends beyond large cities, with consumers in Tier-2 and Tier-3 cities embracing digital shopping. Brands aiming to grow in these areas must tailor their strategies to local preferences region-specific marketing, opening new channels for growth through personalization.  Also, with over 526 dark stores across India, Blinkit plans to double the number to 1,000 in the next one year. On the other hand, Zepto, at present, already has a network of over 340 dark stores across seven cities in India.  Market Intelligence for Real-Time Data Insights: Brands are leveraging advanced tools such as mScanIt, Digital Commerce Intelligence for real-time actionable insights. This enables dynamic pricing, hyper-targeted marketing, and timely inventory management, all of which require brands to pivot from broad strategies to tailored experiences for each consumer journey.  The Quick Commerce Boom: Quick commerce has redefined consumer expectations around delivery speed, particularly for essentials. For brands in Q-commerce, optimizing inventory and logistics down to the dark store level is crucial, ensuring products are available precisely when and where consumers need them.  Blinkit, over the years, has expanded into multiple categories including electronics, home décor and cosmetics, increasing the cart value. It delivers more than 4 lakh orders daily. Zepto, which does 5.5 lakh orders is set to raise $650 million at $3.5-billion valuation.  The Game-Changer: Digital Shelf Intelligence. Why Digital Commerce Intelligence Matters? Real-Time Pricing and Insights: Pricing directly influences purchase decisions. By accessing real-time data, brands can adjust prices in response to competitor moves and market trends, ensuring they stay attractive to customers without compromising profit margins. Availability Checks: Ensuring product availability down to the pin code level is critical. Digital shelf intelligence enables brands to verify stock at a granular level, preventing missed sales opportunities due to out-of-stock items. Competitor Analysis at Every Touchpoint: Brands must have a 360-degree view of their rivals. By monitoring competitor promotions, product launches, and consumer feedback, brands can spot gaps and respond proactively to market shifts. Product Detail Page (PDP) Optimization and Feedback Analysis: Optimizing PDPs means more than adding keywords; it’s about creating engaging, relevant content that resonates with the audience. Insightful feedback analysis allows brands to refine their messaging and offerings based on real consumer behavior. Share of Shelf Monitoring vis-a-vis competition across platforms: Monitor keyword share and brand presence on multiple marketplaces and Quick commerce platforms. Identify gaps along with opportunity to boost brand performance. Pricing & Promotions Trend monitoring with pricing intelligence: Track pricing and promotion across platforms, along with keeping tab on MAP violations and price intelligence with real-time insights.   Case Study – How a Beverage Giant Optimized Product Availability Across Q-Com Platforms  A global leader in the beverage industry, in optimizing their performance across platforms and geographies with the digital shelf tracker to monitor their products.    Product availability on platforms two major e-commerce platforms 57%, and 86%, respectively. However, after comprehensive real-time of monitoring stock availability, they were able to identify the gaps and by the end of November, it improved significantly across platforms, soaring to 100%, and 94%, respectively within a couple of months with mScanIt digital shelf tracking, which enhanced their presence across platforms and bolstered their brand reputation.  It mainly focused on enhancing its market presence by monitoring availability which includes.  Brand Availability Trends  Availability share versus competition  City-Wise Availability Trends – monthly, weekly, daily, and hourly  Platform-wise & geography-wise analysis  Heat map to identify new geography to target  Tracking Sellers performance  Maintaining Out-of-Stock product lists & real-time alerts  The Success Formula for Indian E-commerce Brands To thrive in India’s evolving e-commerce landscape, brands should prioritize:  Investment in Intelligence and Real-Time Monitoring: Market intelligence tools are essential for keeping a pulse on what’s working and addressing issues before they become major setbacks. Product Listing Optimization: High-quality images, accurate descriptions, and competitive pricing are vital. Think of each product listing as a virtual salesperson that needs to capture attention, build trust, and drive conversions. Brand Safety and Protection: Beyond counterfeit prevention, brand safety involves protecting intellectual property, monitoring potential infringements, and maintaining a positive brand reputation across digital channels.  The Final Thought The future of Indian e-commerce is fast, competitive, and brimming with potential. Brands that adapt to these trends and invest in robust e-commerce intelligence will be well-positioned for success. However, succeeding in this market demands attention to detail at every level, from digital shelves to pin codes. Brands ready to go the extra mile in visibility, pricing, and availability will lead in this dynamic, high-stakes landscape.  The future is here. Are you ready?  Get in touch to know more about digital self monitoring.

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Brand Infringement

The Impact of Fake Websites & Counterfeit Products on Ecommerce Marketplaces

Blog, Brand Protection /

During the festive season, along with the endless offers and discounts, a threat lurks in the shadows in the form of counterfeit products and fake websites. Impersonating and infringing assets of popular brands, fraudsters dupe gullible customers into buying inferior or counterfeit goods, which not only brings about financial losses to the brand. It also, to a certain level, impacts the reputation it has built for so long.   Adding to the challenge is the ease with which fake web sites that are replicas of authentic e-commerce stores trick buyers and create a sense of mistrust in the online shopping platform. This emerging challenge of brand infringement must be addressed to protect not just brands but also consumers. What is Brand Infringement? Brand infringement occurs when unauthorized people use the identity of any brand, including logos, designs, or trademarks, without permission. The wrongful use of brand’s assets leads to confusion among consumers, loss to the original brand, and reduced of value of the brand. Brand infringement is not just selling pirated goods, but it also involves the exploitation of websites or misrepresentation or misuse of a brand’s intellectual property.  Type of infringement techniques used on major ecommerce marketplaces: Trademark Infringement A third party uses the logo, name, or slogan of a brand without any kind of authorization. It not only confuses the customer but also dilutes the reputation of the brand. Copyright Infringement Repeated copyright infringement here manifests in the form of reproduction, distribution, or public display of a copyrighted material, say, brand image, product description, or even marketing copy. Misuse of such a material harms a brand’s uniqueness, hence reducing its control over how its content is used.  Domain Squatting Also popularly known as Cybersquatting, is about registration of familiar brand domain names in order to mislead customers. Fraudsters might use such domains for fake stores or for the purpose of damaging the reputation of a brand. Typo-Squatting In this case, the scammers create sites using misspelled versions of the famous brand’s domain names. This could be ‘ammazon.com’ while the original domain is ‘amazon.com’. The user, not knowing how to differentiate between the real or fake one, may visit malicious sites with counterfeit products or phishing traps, and share their personal or financial information, leading to a financial loss and believing that they have been deceived by the brand. Therefore, further damaging the reputation of the brand.  In the face of increasing competition in the e-commerce sphere, brands must actively monitor and protect intellectual property in the digital space if they want to maintain their reputation and continue gaining customer trust.  Disclaimer: The example is used for reference purpose only.   Two Major types of Brand Infringement Fake Websites Fake websites are designed to deceive users into believing they are legitimate online stores or service providers. Often mimicking the look, feel and branding of well-known companies, these websites lure unsuspecting visitors into providing personal information, making purchases or sharing financial details.   The rise of e-commerce has made it easier for cybercriminals to create convincing fake websites leading to potential identity theft, credit fraud and data breaches. Many users fall victim to these scams due to the professional appearance of the sites complete with similar logos, domains, and content as the original brands.  How to spot a fake website  The website looks the same but has the wrong / similar domain name.  They provide unbelievable offers or discounts to the users like ‘up to 95% discount’, etc.  The website doesn’t work as expected, like some of the buttons don’t work, etc.  Download Android / IOS Apps from trusted sources only. Avoid shopping through suspicious links.  Counterfeits on Online Marketplaces  Counterfeit products pose a significant threat to brands. They damage brand reputation, erode consumer trust, and can lead to financial losses. In the case of counterfeit smartphones, the genuine brand’s image is tarnished as consumers associate it with substandard products. Moreover, counterfeit goods often infringe on intellectual property rights, impacting the brand’s innovation and market position.   As per reports posted by some financial institutions, Counterfeit products cost the global economy an estimated $500 billion per year. The trade in counterfeit goods is a significant economic loss, but the consequences go beyond financial implications.  How to identify counterfeits   They offer too-good-to be-true deals  There can be shady or poorly written reviews.  There can be fake logos and trademarks on the product  They provide unclear product description.  How to safeguard your brand from counterfeit and fake websites  By using these solutions proactively, protecting their brands, businesses not only preserve their reputation and revenue but also combat the broader issue of organized crime and fraud, which often underpins these illegal activities.  Brand Infringement Scanning & Takedowns  mFilterIt starts with identification process as part of 3 pillar approach followed by classification of infringement and swift action.  Client provides official logos, whitelist of official URLs, Social Media handles, YouTube Channels, IM handles etc.   mFilterIt scans various platforms with advanced AI, ML, and Open-source intelligence (OSINT) powered tech covering websites (via Search engines), social media platforms, YouTube, IM Apps. We automate the process with swift identification and share potential brand infringement instances for a swift takedown with the platforms.  It not only threatens brand reputation for brands but also for online marketplaces.   Counterfeit Products Scan  mFilterIt harvests data from the eCommerce platforms. Based on the attributes collected an analysis is undertaken. The analysis is presented as the product being good, fake and brand breaches.  Key attributes are analyses such as product URLs name in title, price violations, relevant keywords from reviews, unrecognized sellers, average poor rating, standard image, and PDP content.   Conclusion As e-commerce continues to grow, so do the risks of brand infringement in the form of fake websites and counterfeit products. These infringement activities not only damage a brand’s reputation but also undermine consumer trust and lead to financial losses. To protect their intellectual property, and ensure their brand’s integrity, businesses must be proactive in monitoring digital platforms for brand

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Brand Protection

Festive Season 2025: Digital Analytics & Brand Protection for Brands

Blog, Digital Shelf Analytics /

It’s almost September, and the sale season is on!   The users are eagerly waiting to buy from their favorite brands. And the brand increases their spends to ensure they are visible to their relevant set of audience.   And amidst this excitement, there are fraudsters too who are excited to see the ad spends increasing and ready to make the most out of it.   However, there are some roadblocks brands face while trying to navigate the digital landscape seamlessly. Because running an ecommerce business is not just about running sales during festivals and tracking your buy box position, it’s also about protecting your brand from any kind of potential digital threats like ad fraud, brand infringements, unsafe ad placements, and more.   All these factors, when taken care of, together contribute to a brand’s financial growth.  That is why, to build trust and transparency across the funnel, every brand needs third-party ad fraud detection and analytics tools offering festive season market intelligence to enable real-time monitoring and flag off suspicious activities harming ad campaigns during the festive season.  Let’s explore what challenges this festive season holds for brands and what they can do to safeguard their brand and optimize performance during the season and beyond.    Challenges for E-commerce Brands During Festive Season While the festive season brings unmatched opportunities for sales, it also amplifies the challenges for e-commerce brands. Brands are supposed to navigate multiple hurdles to truly make high profits during the festive season. Here are some major challenges brands face:  1. Protecting Your Brand from Ad Fraud Advertising campaigns peak during festive times, and ad fraud is one of the critical threats to brands. While on one side, performance marketers are all ready to utilize their budgets to the optimum, on the other end, fraudsters are also all set to siphon off budgets using manipulative web and mobile ad fraud techniques.   They use sophisticated ad fraud techniques like click injection, ad stacking, impression fraud, domain spoofing, ad stacking, etc. that go unnoticed to the human eye.   According to a report by ANA, 56.1% of ad spends do not reach the intended consumers and could be wasted due to ad fraud and other pipeline issues in terms of media purchases.  Some major consequences of ad fraud include:  Wastage of budget due to invalid traffic – Bots, click farms, and fake install activities consume ad spends, inflating metrics without adding any real value to the campaign performance.  Low quality leads in case of web campaigns – Fraudsters deploy bots to fill lead forms in bulk using fake details only to manipulate the overall campaign metrics, leading marketers to make further decisions based on irrelevant data.  Low retention rate in case of mobile campaigns – When most of the downloads are fake or incentivized, it directly impacts lifetime customer value, as users are not interested in the app, and only came in for incentives.  High competition for placements – Rise in CPCs and CPMs during the festive season makes it even harder for brands to maintain visibility without overspending, resulting in significant wastage of budget.   Lack of data-driven optimization – Campaigns that aren’t continuously monitored and optimized often miss quick-win opportunities. In a high-stakes festive environment, a few hours of inefficiency can mean thousands lost.  2. Monitoring the Digital Shelf Across Ecommerce Landscape Winning the digital shelf is as important as keeping a check on fraudulent activities. This requires actionable data points,ecommerce competitive analytics, and ecommerce intelligence across platforms.   However, with a range of products distributed across geographies, and the continuous growth of ecommerce businesses and new competitors emerging at a scale, brands face some major challenges like:  Discoverability on digital shelf – With hundreds of brands bidding on the same keywords, being discoverable and visible on the digital shelf is tougher. If your products don’t rank in the first few scrolls, you risk being invisible to festive shoppers.  Out of stock issues – If your product goes out of stock today and you realize it after two days, you not only lose immediate sales, but also divert customers directly to competitors offering similar alternatives.  Mismatched content across platforms – Poorly optimized product titles, descriptions, or images reduce discoverability in searches. Even if customers find your products, inconsistent content can hurt trust and conversions.  Price Undercutting and Discount Violations – Unauthorized sellers slash prices or violate MAP policies, hurting brand value and disrupting pricing strategies. If left unchecked, this not only confuses customers but also impacts ongoing campaigns. Moreover, you also risk falling behind, losing share of shelf without monitoring competitor pricing strategies.  3. Ensuring Brand Safety with Contextual Relevancy Festive campaigns are often run on a massive scale to gain as much visibility and reach as possible. However, when campaigns run across various platforms, publishers, and networks, brands often risk being vulnerable to unsafe or irrelevant ad placements that harm credibility and form negative perceptions among the audience. Some challenges include:  Ads get placed beside harmful content – Festive ads appearing alongside controversial, sensitive, or inappropriate content result in damaged brand reputation and distrust among customers.  Lack of visibility – Ads that don’t match the surrounding content appear irrelevant, leading to wasted impressions and poor user engagement. Brands are most of the time unaware of these situations, leading to poor decision-making.  Association with fraudulent publishers – Partnerships with shady or fraudulent publishers during peak season can harm both performance and brand trust.  Regional Sensitivity Issues – A message that works in one region might backfire in another if not aligned with cultural or religious sensitivities.   4. Ensuring Brand Protection Across Open Platforms Festive seasons aren’t just attractive to shoppers; they’re also the best time for fraudsters to set up fake websites or fake social media channels, using trademark assets of known brands to sell counterfeit products. This not only impacts sales of a brand but also creates confusion among consumers, harming brand integrity and reputation. Major challenges are:  Fake Websites and apps – Fraudsters create lookalike domains or

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