We’ve gathered a couple of interesting cases from FraudScore clients about the Event Report and its efficiency in campaign analysis.

Let’s start with a reminder that FraudScore uses a four-risk level approach to traffic quality evaluation:

  • Good Conversions: Marked Green in FraudScore’s report, these represent non-suspicious traffic.
  • Low Index Fraud Conversions: Marked Blue in FraudScore’s report, these are traffic with a FraudScore up to 33.
  • Middle Index Fraud Conversions: Marked Orange in FraudScore’s report, these are traffic with a FraudScore of 33–66.
  • High Index Fraud Conversions: Marked Red in FraudScore’s report, this is the most alarming traffic, with a FraudScore of more than 66, up to 100.

The FraudScore team always recommends paying attention to traffic with a FraudScore of more than 23. For that reason, starting from the blue zone, managers might need to dig deeper and analyze campaign traffic.

Case 1: Direct Advertiser

In this case, the Event Report helped achieve a full picture of fraud, including a combination of click spam and bot traffic, all sent by one affiliate.

The advertiser noticed that TTI distribution was out of the ordinary and looked suspicious. Thus, the FraudScore team decided to dig deeper and help the advertiser drill down the fraud report.

Our team customized the Event report and combined TTI parameter and Events:

Bot traffic was the main fraud type used by this affiliate. Usually, a low TTI and no events are symptoms of bot traffic. In this case, 2% of conversions had a very low TTI. However, the majority of conversions had normal TTI (e.g., 1–5 minutes and 5–15 minutes), which is a symptom of good traffic.

If we take a look at the combination of both TTI parameters and Events in the FraudScore report, we can see that there were no events for conversions with good TTI. Moreover, while comparing this source with other affiliates, our team noticed that this described behaviour was unusual. Other affiliates’ traffic had conversions. So, the conclusion was that this affiliate had bot traffic.

Additionally, FraudScore detected various other symptoms of bots, including old operating systems or browsers being used. In fact, 98.4% of traffic was sent from iOS 9.2, whereas the current version of iOS is 14.6.

Moreover, if we take a look at the conversions that were marked with click spamming (i.e., very high TTI), we see that they have real events. It looks like these conversions are a form of stolen organic traffic — the users are real. They were most likely added by this affiliate in order to trick the antifraud system and show more good conversions with in-app events.

As a result of the analysis, FraudScore’s team gave following recommendations to the client:

  • Reject Red and Orange zone (Middle and High Index fraud)
  • Reject all conversions with fraud reason No Events (symptom of bot traffic). It was more than 97% of conversions sent by this affiliate — 25 659 conversions out of 26 360.

In two simple clicks, we were able to set the Event Report according to our goals, and we helped the advertiser understand why the traffic from this particular affiliate was not trustworthy. It took less than 10 minutes to see the whole picture.

Case 2: Mobile Developer

Another advertiser case — one affiliate had his traffic in the green and blue zones — Good Conversions and Low Index Fraud Conversions. But TTI was alarming — too low to be real. FraudScore’s team decided to take a closer look.

By using the Event report, the team dug deeper into the events from conversions with low TTI. 90% of users from these conversions finished registration, but didn’t proceed further and didn’t realize any other event:

This looked suspicious. In order to compare, the team examined traffic from another affiliate and the event report there. It showed that 30–40% of users proceeded further after registration, and realized other actions (i.e., events).

This comparison demonstrated that our first affiliate was not being honest, and his traffic was fraudulent. It appeared that low-TTI conversions were done by bots, which is why there were no events after registration. This stood out from the regular user actions when comparing this affiliate with the other .

In this case, the Event Report not only helped detect fraudulent sources, but assisted in building a strong argument for the case. The comparison with the other affiliate was used as proof of irregular activity and fraudulent traffic.

FraudScore’s recommendations were to reject Red and Orange Fraud Index Traffic, and to reject all conversions with Low TTI symptom — 693 conversions out of 1079 total from this source (around 64% of traffic sent in a month).

The FraudScore team is always there to assist and consult our clients. We help read reports, understand detected ad fraud, and build fraud cases. You can always send us your cases and questions, and we will help dig deeper into traffic quality analysis! Contact us via sales@fraudscore.mobi or through your personal manager from the FraudScore team.

  • Since we use an MMP that is mainly popular in the CIS market, and most of our audience also comes from the CIS, FraudScore has become one of the most effective and affordable anti-fraud tools for us. It works very well with local MMPs, shows high accuracy in detecting fraud, and continues to be one of the leading anti-fraud solutions in the CIS region.
    Dmitrii Kaplan, Head of Digital at Twinby
  • We use FraudScore to monitor traffic quality in our advertising campaigns. The service helps us see the full picture across traffic sources, detect anomalies in time, and avoid unnecessary spending. The interface is simple and the data is presented clearly, which makes it easy to use both daily and for reporting.
    Konstantin Artemev, Performance Marketing Manager at Yandex
  • We use FraudScore to regularly assess traffic quality across our CPI and CPA campaigns. The tool allows us to quickly identify reliable traffic sources, flag potentially problematic ones, and adjust campaign settings in a timely manner as conditions change. FraudScore’s reporting is clear, well-structured, and easy to work with, which significantly simplifies decision-making. Today, FraudScore is fully integrated into our standard traffic management workflow and has become an essential part of it.
    Ruslan Maksimov, Head of Digital at MyBox
  • FraudScore has become part of our regular traffic verification process for clients. It helps us detect unusual activity early, analyze traffic sources, and avoid fraud-related risks. The tool fits naturally into our team’s workflow and helps maintain stable campaign quality without adding extra workload.
    Nikita Knyazev Senior Account Manager at ProContext Agency
  • We use FraudScore when managing our clients’ campaigns, where maintaining transparency and traffic quality is essential. The tool helps us quickly identify suspicious sources and understand how they affect performance, which significantly simplifies traffic control and reduces the amount of manual checks. The reports are convenient both for our internal team and for client communication. I’d also highlight the wide range of filters, fraud reasons, and additional data that we don’t have access to in the tracker as one of FraudScore’s key advantages. This gives us a much deeper understanding of what’s happening and helps us make more accurate decisions.
    Aleksandra Milyaeva, Lead Partner Manager at Realweb Agency
  • It’s important for us that advertising traffic is high-quality and brings real users to the platform. FraudScore helps us monitor campaign activity in real time and spot any irregularities or suspicious patterns. This allows us to optimize buying decisions faster and manage budgets more effectively.
    Andrey Kataev, Head of Performance Marketing at Start.ru
  • FraudScore’s fraud monitoring system is particularly useful in this regard as it allows daily check on affiliates conversions and indicates the level of fraud detected for each conversion. The fact that the system not only monitors normal desktop traffic, but, also tracks and accurately reports on mobile traffic in relation to Emulators, VPN’s, Bot farms and IP pattern recognition allows us to make informed decisions when reviewing assigned affiliate caps and encouraging more traffic.
    Darren Williamson, Managing Director at CAN
  • FraudScore has easy to handle and fast APIs which permitted us to integrate fraud analysis findings into our own dashboards. Their own interface is very intuitive and offers infinite possibilities in terms of filtering and digging into data. FraudScore team is very receptive to users feedback and continuously introduces improvements to their product.
    Luis Barrague, COO at Headway Digital, Spain
  • For more than two years of working with mobile traffic we have been tried a lot of anti-fraud services offered by the market. Therefore we can confidently say that the truly worthwhile solution is the FraudScore. Strong technologies, convenient interface and the most effective support – it’s all about FraudScore. Since we started collaboration with this service the volume of fraud traffic in Zorka.Network has been almost reduced to zero.
    Oleg Gorelik, Affiliate Director at Zorka.Network
  • Fraudscore has been our first line of defense against measuring questionable traffic. As the mobile digital advertising landscape continually expands, it becomes complex as it relates to user attribution measurement. The need for precise data has never been more important to the success of our business and our clients marketing efforts. FraudScore’s engineers made integration seamless and user friendly. The user interface allows us to interpret the data correctly and in real-time to make the right decisions as it relates to protecting our clients brand integrity. I highly recommend their services.
    Moufid Al-Joundi, Curate Mobile
  • At Brisk Ads we take drastic measures to combat fraud, and with the help of FraudScore we are able to detect and eliminate any suspicious traffic. With the in-depth reports provided, we are able to identify any questionable sources; making sure that our clients only pay for legit and profitable users.
    Omar Mostafa, Brisk Ads
  • We rely on FraudScore for projects where fast traffic evaluation and clear client communication are essential. The tool allows us to quickly assess incoming traffic and get a full picture without long exports or manual analysis. We especially appreciate its reliability and how easy the reports are to interpret, even for team members who aren’t deeply involved in anti-fraud. It simplifies communication and helps us make decisions faster.
    Nikita Shamin, Head of the Application Promotion Department at MediaNation Agency