#sophisticatedbots

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What Should Marketers Look for in a Bot Detection Tool?

Bot fraud in digital advertising generally falls in the category of invalid traffic by the marketers no matter good or bad since the bots are not the target audience and cannot be converted into a protentional lead.  

Types of Invalid Traffic:   

General Invalid Traffic (GIVT) – It is one of the simplest bots that can be detected easily, and a lot of good bots traffic comes under GIVT as they are not meant to fool the bot detection tool. But some fraudsters may also deploy GIVT as they are easy to make and work against some of their targets.  

Sophisticated Invalid Traffic (SIVT) – SIVT detection is the bots that one should look out for as these are more capable and are often designed to target to bypass cybersecurity and fraud prevention tools. For Example – sophisticated bots might imitate how a human would use a website so it would be difficult to identify between a human and bot. SIVT is common in ad fraud schemes.

Read more : Marketers Look for in a Bot Detection Tool.

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Ai in Programmatic Advertising Fraud Detection to Deliver Performance and Sustainability

The rise of programmatic advertising has shifted the focus towards accuracy and automation. It surged from $9.75 billion in 2023 to $12.46 billion in 2024, an annual growth rate of 27.8% and is expected to continue expanding, reaching $28.12 billion by 2028 at a compound annual growth rate (CAGR) of 22.6%. However, with AI coming into the picture, performance programmatic platforms are prone to ad fraud even more. The need for optimization of programmatic media buying with comprehensive ad fraud solution  across the advertising funnel is the necessity to yield results.  

More and more advertisers are pushing for a stronger and harder success KPI in programmatic campaigns. The shift from visibility only to performance-first is underway. With new and upcoming programmatic platforms selling inventory on impressions, it is today evident that impression fraud is 10-15% of campaign spends in the MENA region, as per mFilterIt reports. There is a ROI uplift of 7-10% when advertisers identify and block for Made-For-Ad sites and Ad Frequency cap violations. 

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

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. 

to read more visit: How Lead Punching Fills Your CRM

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Programmatic Ad fraud: The bane of the Branding Campaigns

The global programmatic advertising market size is expected to grow at a CAGR of 22.8% from 2024 to 2030. Programmatic advertising encompasses a wide range of digital channels, from walled gardens like Google and Facebook to connected television (CTV) and OTT. This variety of channels’ capacity increased the reach of advertisements to even broader groups of audiences.   

However, this wider scope of innovation has also opened the door to significant fraud, with programmatic ad fraud becoming a growing concern for marketers worldwide. With the programmatically run advertisements at $546billion in 2023 according to a Statista report, the volume of ad fraud and low-quality impressions stand at 15-20% according to mFilterIt reports. 

The simplest and most efficient way to protect the interest of your brand is to use ad fraud detection tool to combat the new tactics of fraud in programmatic ad ecosystem:  

In the case of F-Cap Violation using a creative serving hub, that sets the views per user per day to a certain limit with real-time monitoring to ensure no user sees the ad more than that set limit, helps to maximize reach and engagement.  

Read more about Programmatic Ad fraud

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Do You Think Ad Fraud Detection on Mobile Attribution Platforms is Enough?

Mobile attribution platforms are present to report performance measurement, attribution, and analytics on your campaigns. These platforms are essential to get relevant business insights and efficiently analyze the App performance campaigns. If these platforms are not present, the advertisers will be unaware of the whereabouts of their payouts made to their networks.

However, the advertiser must also ensure that they are not paying for fraudulent transactions. Most of the attribution platforms claim to provide fraud detection tool which is often bundled with their attribution services.

MMPs claim to provide ad fraud solutions but for many reasons, they miss a high percentage of fraud. This further impacts the performance of ad campaigns and forces you to keep investing in fraud traffic. On other hand, an ad fraud prevention and detection solution like mFilterIt not only detects ad fraud at the early stages but also ensures to prevent its impact on your campaigns in the fut

Visit: Mobile ad fraud detection