digital advertising

Digital Commerce Intelligence

Cross-border Commerce: Optimize New Opportunities with Digital Commerce Intelligence

The world of e-commerce is expanding the international borders are no longer a hindrance in reaching out to new sets of interested shoppers instead it is an opportunity to expand, explore, and excel in new markets. But every marketplace across the world has its own guidelines, local cultural nuances, and distinct shopper behavior. Brands need that intelligence across platforms, regions, and competition to expand in the digital ecosystem. Let’s explore how intelligence can help brands in their cross-border commerce venture and what impact it has on the digital commerce landscape. What is cross-border commerce? Cross-border e-commerce is when a brand sells or buys products across an international border or across multiple destinations through e-commerce platforms. It could be between B2B or B2C in different countries. Cross-border commerce opens doors to the global market and allows brands to access a wider customer base, making inroads into markets they may not have been able to access via traditional retail. Brands can increase their sales and revenue by targeting customers in different countries and regions, each with its own purchasing power and demand for specific products. Brands can reduce their dependence on a single market by selling in multiple countries. How does e-commerce intelligence help the Cross-Border Commerce venture? In the digital commerce ecosystem, understanding the market and open up to local cultural behavior help identify shoppers’ choices. Rather than applying the experience of one country or marketplace on the other. For instance, the customer behavior and market dynamics of Indian e-commerce is quite a contrast from the Middle East and Southeast Asia e-commerce ecosystem. Equipped with Digital Commerce Intelligence brands can keep track of emerging consumer trends, shopping patterns, and preferences in different countries. Adapting to the market requirements and customer needs. This creates the need for analyzing large volumes of data across geographies and platforms to understand international customer behavior, preferences, and market dynamics. This data can inform decision-making and marketing strategies. eCommerce competitive intelligence across platforms and geographies can ease up the burden of brands, that have a wider global distribution network or sell cross borders on eCommerce platforms. It gives brands a competitive edge and can enhance brand exposure and visibility. It also helps establish a brand’s presence and reputation in the global market. Cross-border commerce provides brands an opportunity to target niche markets where product offerings are in high demand. Like an Indian snack brand targeting expatriate shoppers in the Middle East. Cross-border e-commerce: What you should know? Brands must be aware of the competition, market, and local regulations to build a good market share and build on using market intelligence and insights. Here are some key elements of cross-border e-commerce that brands should explore. Understand Local Trends: Adapting to region-specific trends, product specifications, and packaging helps the brand build a loyal customer base. Data-driven insights on product feedback, customer sentiments, and product detail page content help construct market strategies that suit the specific culture, language, and preferences. Boost Your Digital Presence: Enhancing your presence by bidding on the keywords that can increase your share of search in the region for sponsored listings and ad banners on the eCommerce platform. Identify what your brand needs to boost its digital shelf with platform-level intelligence versus local and global competition across categories and geographies. Know the Regulations: Understand and comply with the local eCommerce business laws and regulations of the platform. Also, prepare your product display page content specific to the platform and geographies. Know Your Competition: Identify key players across platforms under various categories, sub-categories, and variants in the target market and understand their strengths and weaknesses. Continuously monitor your performance and identify areas where you may be falling short or missing opportunities for improvement versus competition. Understand Customer & Market Needs: An understanding of customer preferences can help tailor your products and services to target shoppers in the region. The product descriptions and marketing content should be localized to resonate with local consumers and address their specific needs. Risk Management: Assess and mitigate the risks associated with cross-border commerce, such as currency fluctuations, political instability, or supply chain disruptions. Implement measures to prevent and detect ad fraud, which can be a significant issue in digital advertising. Ensure your products meet local safety and quality standards while maintaining brand consistency. Safeguard your intellectual property rights and trademarks to prevent infringement by others. Businesses need to carefully plan and execute each of these aspects to effectively expand into new markets and capture global e-commerce opportunities. Final Thoughts: Leveraging digital Commerce Intelligence for Cross-Border Commerce Digital commerce intelligence is a linchpin for brand success in cross-border commerce, providing invaluable actionable insights that can help build strategies to outpace the competition. By analysing the competitive landscape in each target market, brands can uncover gaps and advantages. Utilizing digital intelligence for real-time competitor pricing enables dynamic pricing adjustments. Connect with us to learn more about the capabilities of our digital commerce intelligence solution mScanIt, which provides a global dashboard to monitor core KPIs like availability, keyword share, rating and reviews, pricing, and a lot more across countries, platforms, and competition. Optimizing the shopping experience with data-driven insights can be a game-changer for brands in cross-border e-commerce.

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Know The Unknown Cause Behind Your Abnormally High Installs

The shift towards digital advertising brought many major changes in the way of advertising. In comparison to traditional advertising methods, digital intrusion introduced marketers to a transparent way of digital advertising with more control. Attribution platforms are also known to ease the task for app publishers and advertisers. They enable them to track every impression, click, install, and in-app event. The attribution platforms attribute each install to a corresponding click based on this acquired information. However, there is a catch. The advertisers cannot solely rely on the attribution data to take business decisions. With the evolution of digital media, fraudsters have also evolved with time and have been able to create a more advanced level of fraud which requires advanced techniques to detect mobile ad fraud. Types of Advanced Mobile Ad Frauds Fake Attribution While attribution platforms give a clear picture to the advertisers about the incoming traffic on their ad campaigns, there is still a loophole that cannot be ignored – Mobile Ad Fraud. This can lead to rendering inaccurate or misleading attribution data. Fraudsters have become very advanced to match the ever-evolving digital ecosystem. They can inject bots that have human-like behavior and are hard to detect. In the case of app campaigns, fraudulent affiliates are adept at manipulating the attribution process and can hack the last-click attribution and claim it to be provided by them. Whereas the reality is that they played no part in driving that app install or event. These “affiliate fraud are aware of the attribution mechanism and can easily fool the attribution platforms into crediting them with the install. SDK Spoofing This is another form of sophisticated fraud where legitimate-looking installs are created by the method of SDK spoofing. This is used to show a high number of installs using the data of real devices without any actual installs happening. Fraudsters compromise a legitimate device to punch installs that look real to drain the advertiser’s budget. This method is also called traffic spoofing and replay attacks. To commit fraud, fraudsters hack the SSL encryption that is placed between the tracking SDK and the backend servers. With the “man-in-the-middle-attack”, the fraudster creates a series of test installs for their targeted app. Once they identify the URL that controls specific actions within the app, they look for the dynamic URL to create fake installs. This can be done repeatedly and appear like a genuine activity to the advertiser. Why MMPs are not enough? Fraudulent techniques like fake attribution and SDK spoofing are advanced-level frauds that are hard to detect by average fraud detection methods. They require some advanced technology that can analyze the behavior of the traffic to differentiate between a bot and a human. The biggest drawback of MMP fraud detection is they have limited rule checks. And as their billing happens on the attributed data, they often claim less fraud to increase their revenue. Thus, it results in a conflict of interest. Therefore, marketers need a holistic ad traffic validation partner like mFilterIt to ensure that their app campaigns are protected from sophisticated fraud. We use AI, ML, and data science capabilities to detect invalid sources in real time across the funnel to ensure the sophisticated bots don’t penetrate further into the sales funnel and skew the data. To protect the app campaigns from advanced-level mobile fraud techniques like SDK spoofing, we implement our own SDK to fetch the data and validate the quality of the traffic. Real Case We have found a recent case of misattribution where affiliates have not given any purchase and passing the invalid order ID for all the orders placed. Given below is a pictorial view of the case which happened by spoofing the data from Affiliates. We detected anomalies by implementing our SDK and pointed out the discrepancies in the attributed data based on behavior and device checks. The Way Ahead The advertisers must be more vigilant, smart, and technologically armed to counter the attacks of sophisticated bots. Incorporating an ad fraud tool can help advertisers identify the traffic coming from non-humans and eliminate them in real-time and work confidently with media partners. Get in touch with our experts for deeper insights. Reach out to learn more!

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Know How Your Brand is Under Threat Due to Incent Campaigns

Marketers have come a long way in the journey of advertising. In traditional advertising, marketers use mediums like television, radio, and billboards to advertise. These mediums were effective but had their limitations. With traditional advertising, targeting the right audience has always been a black box. Digital advertising came with a broader opportunity for advertisers. It has helped brands to reach the right audience and track the performance to optimize the campaigns better. As digital advertising broadened its horizon, many options came into the limelight. One of them being affiliate marketing. Let’s understand Affiliate marketing in detail: What is Affiliate Marketing? Affiliate marketing is the method of marketing where an affiliate earns a commission from the advertiser against every action taken by the customer. Affiliates either run PPC campaigns to drive users to the advertiser’s website or use their audience or influence to increase the awareness of the advertiser’s product. The Shift in The Advertising World Digital advertising has evolved drastically over the past few years. Earlier digital advertising was limited to search and display campaigns. Today, marketers are broadening their horizons by considering varied advertising opportunities in the digital space. Many social media-based campaigns or incent campaigns have also emerged as a possibility for digital advertising. Incentivized campaigns are often referred to as a form of advertisement where every action is driven in exchange for a reward. For example, download an app and get Rs. 50 cashback. The loophole in Incent Campaigns Many affiliates run incentive campaigns to increase their revenue and fool the advertisers. They run incent campaigns on messaging platforms like Telegram and WhatsApp to reach a larger audience and make the advertisers think they are getting high traffic. Incent campaigns sound like a win-win situation for marketers as it helps them grab more users. However, in reality, only the affiliates win. How do affiliates keep you in the dark? 1. Showing High Installs The affiliates use incentive campaigns to lure users into installing the app in exchange for a reward. This way the affiliates help the advertisers get high installs and make them believe their campaign is performing well. However, the users installing the app are often interested in the reward instead of the app. The users often uninstall the app after a few days, resulting in a high uninstall rate and low lifetime value. In the end, the advertisers fail to connect with genuinely interested users and waste their budget on paying affiliates for installs that don’t add value to the business. 2. Faking Events To grab the interest of users, affiliates post offers with incorrect messaging. They often use shiny offers to lure customers into taking action to ensure they meet the KPIs. For example, “Make your first transaction and get Rs. 30 instant cashback”. Based on this, the advertiser makes the payment to affiliates based on events received. (In this case, making the transaction). However, the quality of users is low as they take the action only to avail the benefit. Real Case of One of the largest private sector Bank of India Incentivized campaigns were live on Telegram for one of the largest private sector banks in India where users were lured into downloading the app by offering them cashback. Users were also asked to do a 1 Re transaction so that publishers’ KPI could be met. Some of the messages we found on telegram groups: Solution Against Incent Fraud We at mFilterIt use our advanced brand hygiene protection solution to track the platforms running incent campaigns. Using our capabilities of AI, ML, and data science, we provide a transparent report of the affiliates running incent campaigns on Telegram and WhatsApp groups. Using our report, the brands can either penalize or block the fraudulent affiliate. Collaborate with Confidence Affiliate marketing is a strong channel of marketing to widen your audience reach. With the right partner to detect fraudulent affiliates, you can partner confidently and take your business growth in the right direction and leverage the benefits of affiliate marketing

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How to Keep Your Brands Safe Online: Problems and Solutions

What are the threats to your brand online? In what ways can image security and ad safety be incorporated into your brand protection strategy? Over time, your new business will develop a reputation. Sadly, one of the risks of business success is the possibility of plagiarism, hacking, and data loss. Once you become a household name, consumers are more likely to purchase your well-established brand. With fame comes responsibility such as fending off counterfeit criminals who seek to capitalize on your brand name. This article discusses how digital images and digital advertising can hurt the reputation of your brand. Furthermore, we demonstrate how a combination of security against image theft and contextual targeting can provide robust security. What is brand protection? Brand protection is a security measure to guard against pirates, counterfeiters, and intellectual property infringers. You can use it to protect your company’s image, reputation, and revenue. Intellectual property (IP) includes creations of the mind, such as inventions, literary and artistic works, designs, as well as symbols, names, and images used in commerce. Brand infringement or brand abuse results from this unauthorized use. It can take various forms, ranging from counterfeiting to copyright infringement to brand impersonation. These tactics are designed to accomplish the same goal, which is allowing bad actors to exploit your brand’s reputation for their own benefit. The obvious consequence of this is the loss of revenue. What is arguably more important is that it can lead to trust erosion in your brand – and this can be devastating and lost lasting. Why protecting your brand online should be a matter of concern for you? Despite its widespread nature, brand abuse is well-established due to the rise of the internet. According to recent statistics, the global counterfeit goods market is estimated to grow to 2.8 trillion dollars by 2022. Through online shopping and auction fraud, UK residents alone lost £69 million last year. Because of the impersonal nature of online shopping and the internet’s global reach, fraudsters have been able to reach millions. Buying a product or service before e-commerce usually meant inspecting the product or speaking to a professional in person. It’s clear, though, that in modern times, we feel far more comfortable basing our buying decisions on what we see on screens with global retail e-commerce sales going from $1.34 trillion to $4.28 trillion by 2020. Can we really blame a less risk-aware shopper for clicking on the ‘buy’ button if the listing on a well-established e-commerce platform shows the correct logos, colors, designs, and sizes of a well-known brand? Digital images are used to abuse brands In order to convince online shoppers that a product is authentic, digital images are crucial. In a study, for example, 90% of shoppers rated the quality of photos as extremely or very important in their buying decisions. Figures like these highlight the importance of professionally taken images when it comes to building trust. Moreover, the threat goes beyond e-commerce listings. A fraudster could easily create a fake social media account, or even an entire imitation website, with high-quality, official brand photography freely available online. There are 137 million fake Facebook profiles, 5% of all Facebook profiles, and three billion phishing emails that typically send users to scam websites every day, which shows the scope of the problem. Damage to digital advertising Digital advertising is also a potential threat to your brand’s reputation – as reported by 99% of advertisers. Programmatic advertising has nearly eliminated human intervention in the ad-selection process. This complete automation has, on the one hand, improved efficiency for advertisers. On the other hand, it has resulted in a reduction in quality control, leading to big problems for both advertisers and publishers. Poor placement of ads Badly placed ads have become a common occurrence due to the ever-increasing complexity of online advertising. Only 2.8% of participants felt the last digital ad they saw was relevant, according to a study. It usually involves an ad showing up next to inappropriate content, and while it’s possible to find humour in unfair placements, there’s also a much more serious side. In a study, 70% of UK and 62% of US consumers said they would stop using a brand’s goods if its ads were near unsafe material. Ad placement, therefore, plays a critical role in the success of your advertising and, in turn, the protection of your brand. Errors in retargeting In retargeting, cookies are used to target users who have left a website without converting. You may have noticed that you were being retargeted online after searching for something one day and afterward seeing it everywhere. In some cases, digital advertising can be extremely effective, but it has some flaws. As an example, you may have rethought your decision since you visited the website, or you may have already bought the product in a store. It could even refer to a personal or sensitive product that you would prefer not to be reminded of. In either case, the outcome results in a disgruntled user, which is bad for advertisers and publishers alike. Bad ads Although bad content can have a detrimental effect on a brand’s digital ads, it can also work in the opposite direction. Ads with poor quality can be equally damaging to carefully curated content. In the digital world, the term ‘bad ads’ refers to digital ads that create a bad user experience. They may contain offensive or inappropriate content, advertise fraudulent products or services, or spread malware through a practice known as malvertising. Ads that do not work are problematic. Google alone removed and blocked 3.4 billion bad ads in 2021. Such an issue presents a real threat. Programmatic advertising’s anonymity allows bad actors to distribute this type of ad without being detected, so it’s imperative that you take the necessary security measures to protect your brand. Secure images to prevent brand abuse Securing all imagery associated with your product or service is an essential component of any brand protection strategy. The right protection prevents

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Travel Meta Search Engines

Travel Meta Search Engines – How Fraudsters Are Ruining It?

After 2 long years, the travel industry is taking shape again. And this time it has come up with a hot trend. Travel metasearch engines have been in existence for quite some time. However, due to the rush among travelers in the post-pandemic era, it has become more relevant in the current times. With its core features like price comparison, it is a hotshot among travelers. And not just for travelers, these platforms offer plenty of advantages to hotels and OTAs (Online travel agencies). However, even these platforms are not safe from the cyber traps set by fraudsters. Know in detail about the travel metasearch engines and how fraud happens on these platforms. What are travel metasearch engines? A travel metasearch engine is a platform that serves as a price comparison website. The customers can compare hotel and flight prices in real-time. These platforms work like an aggregators taking data from different sources across the internet like the OTA’s (online travel agents) or directly from the hotels. However, the travel metasearch platforms are not booking channels. They just serve as a search engine platform for various travel booking channels. What is their revenue model? The revenue model of travel metasearch engines is the same as the digital advertising platforms. Their revenue comes from metrics like CPC (Cost per click), CPI (cost per impression), CPA (cost per acquisition), and hybrid ads (a combination of CPA and CPC). Is Meta Search a passing trend or future of travel? The pandemic has brought a massive change in the behavior’s of the travelers. Along with the safety and hygiene, they are looking for more flexible deals and transparency in the price when planning a vacation. To address these changes, the metasearch platforms have become more relevant with the current times. Apart from being a one-stop platform to show the best and budget-friendly deals, it is helpful across travel means and hotels. The metasearch platforms address the core problems of travel portals. After the break of 2 years, the hotels and OTA’s want to be discovered and visible to potential travelers. To fulfill this gap, metasearch offers both discoverability and visibility on its platforms. They also add important information like ratings and reviews for the travelers to make an informed decision. And with travelers taking more informed decisions and newer hotels & OTAs emerging, these metasearch platforms are here to stay for a long time. However, there is a catch. The meta-search platforms also come under the radar of cybercriminals. Fraud in Metasearch Platforms The metasearch platforms charge a cost per click or a commission from the advertisers. This offers a golden opportunity for fraudsters to exploit the system leading to the wastage of advertisers’ ad budgets and the manipulation of their data. How Does Fraud Happen in Travel Metasearch Platforms? Bot Traffic: The fraudsters program bots to engage with the links of the advertisers on the meta-search platforms. These bots generate fake clicks and inflate the click rate on the advertiser’s website. On one hand, the advertiser receives a high number of clicks, but the conversion numbers remain low. In addition to this, the advertiser has to pay for every click to the metasearch platforms. VPN Proxy: Apart from generating bot traffic, the fraudsters also use VPNs to fake locations and IP addresses. This technique makes it difficult for the advertiser to differentiate between a genuine click and a bot-generated click and they end up with manipulated data. Competitor Clicks:  In some cases, some travel websites also send bot traffic to their competitor’s listing to manipulate their data. They program the bots to generate fake clicks for the website and keep them under the impression that they are getting genuine traffic. Impact of Fraud Compromised Data: Fraudsters program bots to engage with the links listed on the metasearch engines. These bots generate fake clicks which makes the advertiser believe that they are getting traffic. However, despite the high number of clicks, the travel platforms do not see any improvement in conversions. Influx in CTR: Due to the impression generated by bots, the CTR is impacted directly and misleads the advertiser. They are under the impression that they are getting genuine traffic. Whereas the reality is that they are only getting invalid traffic. How can we make a difference? We use the capabilities of AI, ML, and data science to detect bot patterns in the traffic coming from the meta-search platforms. With a deep analysis of the data, we identify the fraudulent IP addresses and blacklist them. This ensures that they will not impact the traffic of the advertiser in the future. Final Words Travel is all set to see massive growth after a halt of two years. And while it is an opportunity for hotels and OTAs to gear up and bring more traffic to their website, someone is watching their every move. Fraudsters are not just stealing money from ads, but they are also on a spree to manipulate the growth of advertisers listing themselves on metasearch platforms. To ensure that your money is not wasted on invalid and non-converting traffic, get in touch with an ad fraud detection & prevention solution provider like mFilterIt and weed out fraud from your campaign data. Get in touch with our experts today!

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