How and Why: Fight Ad Fraud in Digital Advertising

In April 2019 FraudScore and have launched a new feature to RedTrack platform — The Fraud Report. From now on, RedTrack customers are able to get a complete overview of the traffic they buy and whether the money they’ve spent is being served to bots and non-human traffic. The technology that The Fraud Report is based on — is FraudScore solution.

Fraud Report is not just a solution that evaluates traffic and marks it “fraud” or “non-fraud”. It inspects the quality of every ad click based on FraudScore metrics and provides the ratio of human clicks and fraud ones with the reason of fraud behavior. Whether it’s an action caused by cookie stuffing or a proxy-connected user, etc, The Fraud Report detects it and notifies RedTrack’s customer of suspicious activity.

FraudScore CEO Dmitry Isakov talked to RedTrack and gave details about technologies used in The Fraud Report and how big is the problem of fraud traffic is.

Dmitry, you’re engaged in the “fight with the dark side” of online advertising for a while now. In your opinion, how big of a problem is digital ad fraud?

I would say that ad fraud is one of the most important and complex challenges that marketers face these days.

Digital ad spend is rising every year, from $93 billion in 2018 to an estimated $105 billion in 2019. And around 65% of marketing budgets are spent on mobile advertising.

If we take a look at FraudScore statistics for 2018–22% of global ad traffic, both mobile and web, was fraudulent.

The estimated cost of digital ad fraud worldwide is up to $19 billion in lost revenue in 2018. By 2022, that total is expected to grow up to $44 billion!

So it goes without saying that ad fraud is a huge problem and it’s not going to just disappear, but marketers are able to partner with solutions to protect their budgets.

If ad fraud is a multi-billion dollar problem — is there still a place that is fraud-free?

Every time an advertiser takes a dollar out of his pocket to run an online campaign, whether it is a programmatic campaign or clicks based campaign or performance-based, with installs and conversions as KPIs, there always are guys on the dark side ready to steal part of this marketing budget, very often a really big part.

What ad formats / digital ecosystems have the highest ad fraud rates? What is the reason for this?

Ad fraud is a problem that has affected every part of the digital ad ecosystem, including desktop and mobile web, mobile in-app, and the quickly expanding market of Connected TV/OTT. I would mention the most fraudulent formats in this order:

First, video ads. It’s the most attractive area for fraudsters because of money.

While video budgets are about 45% of total ad spend, it is tied to 64% of all ad fraud, according to Forrester! Fraud is found in video twice as often as it is in display.

Second, Connected TV/OTT. As more money is being spent on video ads, fraudsters are turning their heads towards it. In a Q3 2018 study, Pixalate found that 19% of worldwide OTT impressions were invalid, because of fraud and technical malfunctions. So it is the next big challenge.

And of course, mobile apps and mobile web. Even though these categories are less at risk than OTT and desktop video, mobile web and apps are still formats to watch.

If we talk about programmatic, mobile display inventory presents the highest risk of fraud.

Of course, fraudsters go where the money is. And they’re also attracted to new markets and technologies, such as connected TV, where the ad tech market is really young. That is why I think we’ll see a huge shift in fraud scale towards OTT by the end of 2019.

Affiliate marketing involves a lot of players, like advertisers, networks, publishers, and affiliates. Does all of them are subject to ad fraud?

If we take a look at the ads money flow — we’ll see that all the stages of it are prone to fraud. So basically everyone starting from advertisers, agencies, networks to affiliates and publishers are at risk of losing their money to fraudsters. Advertisers are likely to lose budgets by paying for fraudulent traffic. Affiliates and networks are losing money by getting rejects, losing contracts and advertisers. When a network gets a bad reputation or an affiliate has several sources that are suspicious — next time an advertiser would think twice to invest in such traffic and probably would choose another network.

So everybody involved is suffering. But to be honest, of course, the party who suffers the most — is the Advertiser, the one who pays money. All the other parts of the (supply) chain are more tolerant to fraud :-)

Well, it’s hard to deny that click fraud is a big challenge for all the marketers. But are there any evident warning signs that indicate that I run into fraud?

Running online ads is all about multi-level campaign statistics. When you’ve just launched a campaign and it’s giving you results way better than you could have expected — it’s probably too good to be true.

Of course, there are some basic parameters that you need to keep an eye on. IPs and if they are blacklisted or coming from datacenters; proxy IPs; some vital parameters of device\browser & user specific information. These can be controlled by either in-house or 3rd party fraud detection platform like FraudScore. But unless you have big analytics and a tech team I would not recommend you spend your time & money on that.

Dmitry, I know that you’ve been working in IT-industry for about 20 years. Thus, I can’t but ask what technologies do you use to detect fraud within your solution FraudScore?

We use Unsupervised ML to detect new anomalies and suspicious patterns that might indicate that fraudsters have come up with something new. When something is detected — our data scientists start to drill down the data to understand the nature of each particular anomaly, to learn more about the source, and to find the pattern. If we see that it’s really a new pattern or scheme — we develop new algorithms and methods that shall automatically detect this new type of fraud. When the development is done — we upgrade the platform. It’s a constant process that requires a lot of time and expertise, but we have the best data science team and our technologies are known for fast-tracking new ad fraud patterns.

It’s worth mentioning that FraudScore was established in 2015 and since then we’ve gained the reputation of a trustworthy anti-fraud solution. Our expertise covers both mobile and web traffic, we work with all types of marketing campaigns — from CPM & CPC to CPI & CPA. So we possess great experience and technologies that are all aimed to fight ad fraud and detect new malicious schemes that fraudsters develop.

Then, tell me please more about the feature — Fraud Report that your team developed together with RedTrack for their users.

Together we’ve developed a joint anti-fraud solution for RedTrack’s customers that is aimed to detect fraudulent clicks and give users easy to read traffic analytics. The solution combines the FraudScore click scoring platform and wraps it with a user-friendly fraud report inside of RedTrack platform. So from now on, every RedTrack customer is able to have its traffic checked for fraud without the need to log in to FraudScore, set up integration and send clicks for analysis.

Our solution guarantees that RedTrack customers shall now have all the FraudScore platform updates, new releases and improvements of fraud detection technologies automatically.

Users are now able to analyze fraudulent clicks divided by types of fraud, campaigns, sources. Various slices and modes enable advertisers to analyze traffic, understand fraud reasons and make informed decisions on whether to reject or block it. RedTrack users now get a professional fraud report that gives vast opportunities for analysis and reliable data for further business decisions.

This solution allows RedTrack to be one of a very few ad tracking solutions that provide a professional anti-fraud solution for their customers within their own platform. Our combined efforts shall protect RedTrack’s customers from losing money.

To your mind, what are the most apparent benefits of the Fraud Report?

1. Pay only for real clicks — don’t buy a new car for a guy, you even don’t know.

2. FraudScore is an independent anti-fraud solution. In fraud detection — it’s vital that traffic is checked by a company who has no affiliation with other industry players and shall give an unbiased traffic audit while keeping your data safe.

3. Reliable, comprehensive and detailed report. Our joint feature is devoted to one task — make fraud detection easy and effective. The report combines both marketing parameters of a campaign and FraudScore fraud categories within RedTrack platform.

4. Constant updates and improvements. FraudScore data science team and machine learning algorithms are constantly working on finding out new malicious schemes. And advanced integration with RedTrack allows us to keep all the updates available for RedTrack customers asap.

5. All-Inclusive. RedTrack is a unique company who made great efforts to provide its customers with a convenient and reliable fraud detection solution right in their platform. Advertisers are now able to have all the data for their campaign efficacy and detected suspicious clicks in RedTrack interface. I think that it shows how serious RedTrack is about the safety of their customers and we are sure that our joint solution is the best way to save your time and money.

  • 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,
  • 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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