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.

  • Recomiendo usar FraudScore. Esta solución antifraude nos ayuda a evitar riesgos innecesarios y a eliminar el fraude desde el principio. ¡Bien hecho chicos!
    Olga Saburova, Gerente de Cuents, MobioNetwork
  • Hay muchos manuales sobre cómo ganar dinero a través de internet. La mayoría de ellos te cuentan cómo hacer instalaciones de móvil fraudulentas. Tan pronto como aparece un nuevo ""manual"", vemos picos de tráfico de baja calidad. Pero según comenzamos a usar el servicio de FraudScore, eliminamos a los gerentes que estaban trabajando en verificar la calidad del tráfico. Usando su informe con un conjunto de filtros, podemos generar diferentes tipos de dosieres que nos muestran la calidad del tráfico en diferentes contextos. Esto nos ha ayudado mucho a encontrar muchos estafadores y afiliados de mala calidad.
    Nickolay, Director general, Mobiaff.ru
  • CPA Affiliates Network ha estado utilizando Fraudscore como nuestro principal sistema de análisis y monitoreo de fraude durante los últimos años. Como red de CPA con muchas ofertas de clientes potenciales, es de mucha importancia para nosotros que podamos identificar rápida y fácilmente el tráfico sospechoso y eliminar afiliados específicos según sea necesario para reducir los incidentes de fraude y mejorar la calidad general de los clientes potenciales para nuestros socios publicitarios. La interfaz de FraudScore es fácil de usar y ofrece múltiples opciones de análisis granular que nos permiten detectar y eliminar fácilmente el tráfico de fraude probable. Recomendamos FraudScore como una solución viable para la red y los anunciantes que deseen ver un análisis de conversión en tiempo real para ayudar a impulsar un tráfico de mejor calidad.
    Darren Williamson, Director gerente, CAN
  • FraudScore tiene APIs rápidas y fáciles de manejar. Esto nos ha permitido integrar el análisis de fraude en nuestros propios paneles de control. Su propia interfaz es muy intuitiva y ofrece infinitas posibilidades en términos de filtrado y búsqueda de datos. El equipo de FraudSsore es muy receptivo a los comentarios de sus usuarios e introduce continuamente mejoras en su producto.
    Luis Barrague, Director de operaciones, Headway Digital
  • Durante más de dos años de trabajo con tráfico móvil, hemos probado muchos de los servicios antifraude que el mercado ofrece. Por tanto, podemos decir con confianza que la solución que realmente merece la pena es FraudScore. Tecnología sólida, interfaz conveniente y el soporte más eficiente: ¡todo eso y más es FraudScore! Desde que comenzamos a colaborar con ellos, el volumen de tráfico de Zorka Network se ha reducido prácticamente a cero.
    Oleg Gorelik, Director de afiliados, Zorka.Network
  • Fraudscore ha sido nuestra primera línea de defensa contra el tráfico cuestionable. A medida que el panorama de la publicidad digital móvil se expande continuamente, se vuelve complejo en lo que se refiere a la medición de la atribución del usuario. La necesidad de datos precisos nunca ha sido más importante para el éxito de nuestro negocio y los esfuerzos de marketing de nuestros clientes. Los ingenieros de FraudScore hicieron que la integración fuera perfecta y fácil de usar. La interfaz de usuario nos permite interpretar los datos correctamente y en tiempo real para tomar las decisiones correctas en lo que se refiere a proteger la integridad de la marca de nuestros clientes. Recomiendo ampliamente sus servicios.
    Moufid Al-Joundi, Curate Mobile
  • En Brisk Ads tomamos medidas drásticas para combatir el fraude y, con la ayuda de FraudScore, podemos detectar y eliminar cualquier tráfico sospechoso. Con los informes detallados proporcionados, podemos identificar cualquier fuente cuestionable; asegurándonos de que nuestros clientes solo paguen por usuarios legítimos y rentables.
    Omar Mostafa, Brisk Ads

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