Mridul Mishra

Phantom Impressions

Unmasking the Phantom Impressions: Know why your impressions are high, yet ROI is low

The digital landscape is evolving rapidly and advertisers have the opportunity to tap the best out of it. It provides a wide scope to reach a vast set of audiences beyond boundaries. However, with the increased growth of digital, there are suspicious actors lurking in the shadows to dupe the advertisers. This leads to the wastage of the advertising budget; these traffic sources lead to no conversion. Imagine a scenario where your brand is investing in a digital advertising campaign, targeting specific placements and audiences. You’re looking forward to reaching your ideal audience, but as the campaign progresses, something seems off. Your ads, displayed in a tiny 0x0 ad size, repeatedly appear on the same IP address, offering no real marketing value and depleting your budget. A Real Case This is a classic example of digital marketing fraud, where rogue actors manipulate ad impressions to their advantage, leaving advertisers with empty pockets and minimal exposure. We have recently detected some of this unusual activity in one of our real estate partners, where some of the BOT-driven IPs showing ads in 0*0 pixels in the same root domains. How Fake Impressions Impact the Business? Ad Budget Wastage: Every 1000 impressions has a cost attached to it. Fraudsters leverage various methods to manipulate impressions. Fraudulent publishers push their inventories in programmatic advertising using methods like domain spoofing and generating AI content to create a website to host advertisements. These inventories generate a number of visitors, but they are low quality and lead to a waste of ad spending. Zero Marketing Impact: These fake impressions do not contribute to brand visibility or customer engagement, resulting in a futile marketing effort. The intended audience never sees these ads and the traffic sources interacting with the ads are often low-quality and don’t result in any gain. Brand Damage: Ineffective ad campaigns can erode consumer trust and damage your brand’s reputation. Apart from this, in programmatic advertising, ads also appear beside unsafe content which further damages the trust of the consumers in the brand. Way Forward The battle against digital marketing fraud is ongoing, but strategies like Real-time Monitoring, Set Frequency Caps, Data Analysis, and Geographic Targeting are some of the strategies you can employ to minimize its impact. Digital marketing is a powerful tool for reaching your target audience, but it’s not without its challenges. However, with vigilance, the right tools, and a strategic approach, you can protect your campaigns from these fake impressions and ensure your advertising dollars are spent effectively. This is where mFilterIt comes in, which is a segment-first ad fraud detection software company that empowers advertisers with transparent data and clean traffic by detecting invalid sources and actively blacklisting the IPs & placements to ensure every impression, click & visit should be a step toward your marketing goals, not a ghostly drain on your budget. Stay informed, stay vigilant, and keep your brand safe from the shadows of digital marketing fraud.

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Surviving the Cookie Apocalypse: Tips To Prepare An Effective Advertising Strategy!

In 2020, Google the phasing out third-party cookies starting with Chrome browsers – a piece of news that caused a flurry among marketers for all the right reasons! While this deadline has been slightly adjusted and extended to 2024, the news continues to remain interesting as marketers await a life without cookies but are also eager to understand what a cookieless marketing approach might bring to the table. On one hand, they eagerly await a life without cookies, and on the other hand, they are hesitant about what the cookieless future might look like. In this blog, we will look at some ways to run successful digital marketing campaigns in a cookieless world. Cookieless marketing is the term used for the various methods wherein brands can target their audiences without using third-party cookies. Cookieless digital campaign will be the new normal going forward as most web browsers have either already phased out or are going to eliminate cookies due to privacy concerns, and stringent data regulations globally. Why third-party cookies are disappearing? Cookieless marketing has come into prominence after the surge in demand for preventing the sharing of individually identifiable data by marketers. Legislations like GDPR became the key reasons why search engines decided to disable cookies. Apple and Mozilla have already done that, and Google is set to do it in 2023. Impact of Cookieless Advertising on Digital Marketing 83% of marketers currently rely on third-party cookie tracking to identify the target audience. Once the third-party cookies phase out completely, the marketers will no longer be able to track the audience’s behavior or undertake any kind of personalization of the marketing content. As a result, the quality of marketing efforts and their ROI will go down drastically if new means of cookieless marketing are not adopted. Things to Keep in Mind When Creating an Advertising Strategy for a Cookie-less World In the absence of third-party cookie tracking, marketers now need to shift focus to other data inputs such as context, weather, location, and other aspects that can help deliver more relevant ads to the audience. Advertisers who target new audiences instead of overspending on trying to bombard the existing or known audience with ads are likely to be more successful. One of the major benefits that digital marketers will enjoy in the cookieless advertising environment is the lowering of campaign costs. The usage of advanced AI-driven tools can help marketers perform better even without third-party cookie tracking in a privacy-friendly manner contextual ad targeting programmatic ad techniques will rule the roost in the new normal. Here are some of the ways in which marketers can thrive in the new normal of cookieless advertising: 1. Predictive Analytics and Better Messaging Most companies, especially larger organizations have massive databases available to them. However, no more than 23% of the executives in a survey reported that their organizations were able to effectively extract insights from this data. Usage of machine learning to analyze the data and predict the next best steps is one of the key options for the cookieless marketing scenario. Companies can use AI to undertake predictive messaging that would be highly personalized and relevant to the readers. Further, they can analyze what kind of messaging the audience responds to, and with time they can finetune to achieve the right content mix. 2. Hyperlocal Targeting Hyperlocal targeting is going to be one of the biggest trends in contextual targeting advertising. Marketers who can understand and integrate factors such as local weather, festivals, events, and other hyperlocal factors will be able to target the audience accurately. For instance, the weather in snowbound areas is likely to influence customer choices in a way completely different from the choices of people living in coastal or sunny areas. 3. Conversational Marketing 71% of the customers prefer companies that are available for real-time communication, and 79% of enterprises report better customer loyalty, sales, and revenue after deploying live chat. You can benefit from conversational marketing as it engages the customers directly and helps the brand get unique individual insights about customers, and those can help in extending the life cycle value of the customer. 4. Personalization 80% of regular online shoppers engage with brands that deliver a personalized experience. Smart geo-targeting and time-based marketing content can engage this audience better and generate significantly better results in the world of cookieless advertising. 5. First-Party Data Collection While third-party cookies are on their way out, brands can leverage first-party data collection to generate insights and gather quality data about the customers. Conversations and direct data gathering from customers who buy from your brand can help in achieving this objective. Building a sizeable database might take some time, but the quality and possible conversion rate of first-party data is going to be worth the effort. 5. Collaborating with Large Ad Publishers Directly Companies should focus on engaging with programmatic publishers who are contextually relevant. They have tremendous insights and data about different audience types and the kind of content that works with each. By collaborating with such publishers directly, businesses can better measure and plan their marketing efforts without cookies. 6. Contextual Advertising Shifting the focus from tracking users through cookies to the webpage content and positioning the ads in context. For instance, in user tracking, you might end up showing a travel ad to someone when he is visiting a webpage related to healthcare. This would change, and advertisers would be able to offer personalized and relevant marketing to visitors on web pages without any need to get invasive or to track the users. 7. Cultural Marketing Cultural marketing is more of a seasonal and time-bound marketing tactic that can help advertisers engage the audience with relevant content. For instance, a major sporting event like the Olympics or World Cup of Cricket, or festivals like Diwali and Christmas can be apt opportunities for cultural marketing. Way Forward The clock is ticking and there is no time to waste for marketers. The phase-out of third-party cookies is going to be a reality

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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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