Case Study

Page Analysis

Is Your Product Page Analysis Turning Shoppers Away? 

Your organic traffic is dropping but do you look for the most obvious reason behind it?  Teams run audits on campaign spends, revisit keyword strategies, and tweak bidding structures. Rarely does anyone open the actual product page and ask the most obvious question – is this page actually doing its job?  When a perfect page analysis is neglected, right information regarding your product doesn’t reach to customers, making them abandon your product before completion.  Suppose a mother visits your product page in order to search for a highly nutritious powder for their children but she did not find the ingredients on the product page, she did not find the measurement per scoop, what will be her quickest action? To explore similar products. There will be no notification regarding abandoned cart or bounce alerts.  This is just one of the many cases that show the importance of perfect page analysis. It shifts the focus from just getting discovered to actually earning the purchase, making sure that when a shopper finds your product, the page does everything it needs to close the gap between interest and decision.  In this blog, we will discover –  Why optimizing product page is crucial for brands 6 product page optimization factors every brand must monitor Operational challenges of page optimization How product page optimization enhances brand’s product performance What is the Importance of Optimizing your Product Page? Page optimization for brands is crucial let’s understand this from an example –  Take a brand managing 200 SKUs across platforms. At any given point, some percentage of those listings have a content issue. Not a catastrophic one but something subtle. A title that drops the primary keyword because a marketplace algorithm reindexed it. A main image that appears blur on a mobile screen.  This is the operational reality that most ecommerce brand teams aren’t built to catch. They are structured around campaigns, not continuous page-level monitoring.   Perfect page analysis runs a continuous check across every live SKU title structure, image compliance, keyword presence and flags drift the moment it happens, not three months later when the rank loss is already real. Because marketplaces are live systems and treating your listings as set-and-done is how you hand over the top slot to someone who simply had a cleaner page on the right day.  Six Product Page Optimization Factors Every Brand Should Monitor Page analysis is not a one-time thing. It is the discipline of tracking everything that affects whether a shopper finds your product, trusts it, and buys it. That breaks down into six areas based on content and creative parameters that brands must monitor –  Product Title The title is the first thing both the shopper and the marketplace algorithm read. It needs to work for both. At minimum, a title should clearly mention the product name and the details that matter — size, quantity, variant, measurement unit. A protein powder listed without its weight, or a baby lotion that doesn’t mention the age group, makes the shopper work harder than they should. And when shopping online, most people won’t bother working harder. They will just pick the listing that was clearer.  Content Quality The description exists to answer questions before the shopper thinks to ask them. What is this? How do I use it? What’s in it? How much do I get? For categories like food, supplements, skincare, or baby products where the purchase feels personal, an incomplete description doesn’t just leave gaps, it creates doubt. Expiry formats, ingredient lists, usage steps, these aren’t optional extras. They are what make a shopper feel confident enough to add to cart. Support images within the description matter too. If they are blurry or don’t add anything to what is written, they are just taking up space.  A+ Content By the time a shopper reaches A+ content, they’re already interested. What they need at this point is a reason to commit. Comparison charts, related products with rich mediax description. These help shoppers make up their mind faster. The mistake most brands make is treating A+ content as a branding exercise. It isn’t. It is the last conversation you have with a shopper before they decide. Make it count.  Visuals Shoppers look at the image before they read anything else on the page. A blurry thumbnail or a cluttered hero image can end the consideration right there before the title, before the price, before anything. And platform standards change. An image that worked fine two years ago may not clear compliance checks today. A visual that looks sharp on desktop may render poorly on a phone screen. Visuals aren’t a one-time job. They need to be revisited the same way any other live content does.  Ratings and Reviews: A 4-star rating or above builds trust quickly, especially for a first-time buyer who knows nothing about the brand. But the number alone isn’t enough. The actual reviews tell you what is working and what isn’t. If multiple customers mention confusing instructions or damaged packaging, that’s a signal both for the product and the page. Customer-uploaded review images also matter. These are unfiltered, real-world photos of your product. If they consistently look off or don’t match what the brand imagery shows, no amount of polished A+ content will make up for it.  How Product Page Optimization Enhances Brand’s Product Performance Product page optimization is one of the most effective strategies that many brands of various categories know. mFilterIt ran a deep-dive category analysis on the Atta segment on Flipkart Grocery. What the data revealed was striking, some of India’s most recognisable FMCG names are being outpaced on digital shelves by brands that simply optimise better.  What did the PDP Audit Track? Support Images – Number, quality, and variety of images beyond the primary product shot.  Video Presence – Whether a product video exists on the listing. Video-enabled PDPs consistently see higher dwell time and improved add-to-cart rates.  Description Length – Depth and completeness of written content. Thin descriptions signal low relevance to platform algorithms and fail to address shopper intent.   Key Findings: Overall Brand’s Content Score for last 3 months: These scores do not just highlight the basic content errors but the real content gaps that were creating major challenges in listings. This data highlights categories based on which their product page was analyzed including and the highlights were- The analysis revealed a clear divide between how category leaders and other established brands approach their product pages. Brands such as Aashirvaad, Fortune, and Pillsbury consistently delivered more complete and informative product experiences, with stronger content across key PDP elements.   In comparison, listings from Amul, Organic Tattva, and 24 Mantra Organic showed noticeable gaps in content depth and shopper-focused information. These shortcomings

Is Your Product Page Analysis Turning Shoppers Away?  Read More »

OTA Pricing Intelligence

How a Leading OTA Platform Used Real-Time Pricing Intelligence to Prevent Booking Loss and Protect Margins

This case study explores how mFilterIt’s real-time pricing intelligence solution transformed competitive strategy for a major Online Travel Agency (OTA). They were facing critical challenges, including no live competitor price visibility, delayed discount updates, and undetected booking loss. The OTA needed a smarter, data-driven approach. mFilterIt deployed a Data as a Service (DaaS) feed tracking three key pricing layers: base ticket price (SRP), coupon/discount value, and final customer price across 450+ mapped flight sectors. With automated price gap detection and continuous OTA-vs-competitor comparison by airline and route, the platform enabled faster, targeted discount updates, reduced margin leakage, improved price rank awareness, and unlocked strategic price increases during high-demand periods. The result: a shift from reactive to proactive pricing across every sector. DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

How a Leading OTA Platform Used Real-Time Pricing Intelligence to Prevent Booking Loss and Protect Margins Read More »

click fraud

How an Automobile Brand Reduced Fake Leads and Ad Fraud Across Google, Meta & Performance Max Campaigns

A leading automobile brand running lead generation campaigns across Google, Meta, and Performance Max was facing a growing challenge—high volumes of invalid traffic and ad fraud were inflating visits and polluting lead data, ultimately impacting ROI and sales efficiency. Despite strong top-line metrics, a significant portion of traffic lacked genuine user intent. To regain control, the brand partnered with mFilterIt to deploy its Ad Traffic Validation Solution, enabling full-funnel visibility across both visits and lead events. Through real-time traffic validation and proactive blacklisting, fraudulent sources were blocked before reaching the lead stage.  As a result, the brand achieved a sharp reduction in invalid traffic, lowered customer acquisition costs, and significantly cut ad spend wastage across platforms, restoring trust in campaign performance data. Download the detailed case study to explore the full strategy, insights, and measurable impact in depth. DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

How an Automobile Brand Reduced Fake Leads and Ad Fraud Across Google, Meta & Performance Max Campaigns Read More »

How Emirates NBD Strengthened Digital Trust

How Emirates NBD Strengthened Digital Trust with Proactive Brand Protection

In a digital era where brand impersonation and fake promotions can erode customer trust overnight, Emirates NBD took a proactive stand. This case study reveals how one of the region’s largest banking groups partnered with mFilterIt to deploy an AI + OSINT-powered brand protection system that detects misuse in real time across web, social, app stores, and messaging platforms. You’ll discover how Emirates NBD: Detected and prevented 20,000+ suspicious brand misuse cases within months. Strengthened customer safety and compliance readiness through early warning systems. Used multilingual AI models to monitor threats across English, Arabic, and regional dialects. If you’re a digital leader in BFSI or any brand that values customer trust, this case study shows how preventive action can safeguard reputation and build long-term confidence in your digital ecosystem. DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

How Emirates NBD Strengthened Digital Trust with Proactive Brand Protection Read More »

high-angle-shopping-cart-with-pill-foils

From Wasted Spend to Smart Investments: How 1000Farmacie Gained Marketing Efficiency Through Ad Traffic Validation

Every click, impression, and conversion should drive real business growth—but what if a significant portion of your ad traffic isn’t even human? Without proper validation, brands unknowingly allocate budgets to non-incremental channels, suffer from skewed performance metrics, and make uninformed marketing decisions. 1000Farmacie faced these very challenges—misattributed conversions, inflated traffic data, and wasted ad spend. The impact? Lower ROI, inefficient budget allocation, and lost revenue opportunities. If your marketing decisions rely on unverified data, you might be spending on traffic that doesn’t convert. Download the case study to uncover the full story and discover what was really happening behind the numbers, as well as how they improved marketing efficiency by gaining transparency in their ad traffic data using mFilterIt’s ad traffic validation suite. DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

From Wasted Spend to Smart Investments: How 1000Farmacie Gained Marketing Efficiency Through Ad Traffic Validation Read More »

foxtale

Foxtale’s 21% CPC Drop: Leveraging mFilterIt’s Expertise to Combat Brand Bidding by Ad Networks

Foxtale, a dynamic skincare brand, invests heavily in TOF and video campaigns to boost search volumes and drive high-intent users to their website. However, ad networks were bidding on the same branded keywords, capitalizing on Foxtale’s brand popularity to generate revenue easily. This competitive bidding drove up their CPC by 25-30%, further, impacting return on ad spend (ROAS), and hindered scalability. Download the case study to know how our solution helped the brand identify the ad networks bidding on their brand keywords and helped them optimize their campaigns.   DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

Foxtale’s 21% CPC Drop: Leveraging mFilterIt’s Expertise to Combat Brand Bidding by Ad Networks Read More »

kuku-fm

From Fake Installs to Quality Engagement: Know How Kuku FM Improved their App Traffic and Optimized Spending

Kuku FM, a leading audio content platform runs a user acquisition campaign to bring new users to their app. However, they notice a high volume of app installs with no conversion (in this case, paid subscription). To solve this, Kuku FM partnered with mFilterIt to validate their ad traffic and filter it to optimize their campaigns better. Download our case study to learn how our solution helped the brand identify suspicious traffic sources and fraudulent techniques used to drain their ad budget and block them to protect their campaigns and attract genuine traffic.    DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

From Fake Installs to Quality Engagement: Know How Kuku FM Improved their App Traffic and Optimized Spending Read More »

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 FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

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

amc

Major Indian Asset Management Company Enhances Digital Performance

In the fast-paced and ever-evolving world of digital marketing, even major players sometimes find themselves grappling with challenges that seem insurmountable. This case study delves into the digital journey of a prominent asset management company in India, which was confronted with a trio of perplexing problems in its digital marketing campaigns. The client witnessed a dramatic reduction in wastage, resulting in significant cost savings. Wastage of ad spend was reduced by almost 60% and improved conversion rates DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

Major Indian Asset Management Company Enhances Digital Performance Read More »

devil-behind-the-beauty

How a popular beauty & personal care brand identified fake app installs in the MENA region

69% of Beauty & Personal Care installs in the MENA region are fraudulent. 86% Fake events post app installation: sign-ups, transactions, any other in-app activity. mFilterIt deterministically validates digital engagement by fine-tuning the return on digital spends within a brand-safe environment. Create true engagements within a trustworthy brand environment. Identifies and reports BOT-driven frauds hampering digital advertising performance along with issues adversely impacting the brand reputation and trust. DOWNLOAD FULL CASE STUDY (PDF) Submit REQUEST FREE AUDIT

How a popular beauty & personal care brand identified fake app installs in the MENA region Read More »

Scroll to Top