The general working conditions of online operators cannot be called easy – high competition in the market, constant pressure from regulators in the issues of responsible gaming, anti-money laundering, KYC requirements and other aspects specific to jurisdictions. In addition, they are a constant target of fraudsters from different directions, the most harmful of which is affiliate fraud, as the affiliate marketing market in the gambling 123 confidential information and bots. The latter are quite sophisticated to automatically 123 for lead generation or stolen credit cards to generate deposits.

  • Intercepting URL domains that are very similar to the operator’s name or products to receive referral payments via redirect.  
  • Installing adware or spyware on the device without the user’s consent that automatically captures the affiliate code.
  • Copying the content of other affiliate sites to steal traffic.
  • Buying Google AdWords for search queries for which the company or its products are already classified.
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    How can operators protect themselves?

    The first of the anti-fraud solutions is high-quality monitoring of traffic on your web resource. With good tools, it will be easy to track the quality of the client brought by the partner. Different solutions, for example, will allow you to separately monitor the traffic that each affiliate brings and have data on conversion or the percentage of approved and canceled client connections. This is a useful option, but how do you collect information to automate customer quality decisions? SEON, a company that provides anti-fraud support for online businesses, recommends enriching the information by taking a fingerprint from the customer’s device. According to the company, fingerprinting will allow you to scan the technical and hardware configuration of the user and determine their relationship using hashes. A hash is an actual user identifier that remains unchanged even after clearing the cache, changing browsers, using incognito mode, emulators and spoofing tools (when one person on the Web is disguised as another by falsifying data). All these tools are often used in practice by bots, so hashes allow you to see whether this is the first time this customer is on the online casino website, how often he changes devices, how suspicious his software is and whether he uses emulators. This method will be effective, especially when combined with checking the IP address, email address, phone number and social network page where the user came from. If the operator has complete data on who his players are, the second stage should be the analysis of their behavior. According to SEON, fraud can be detected by sorting information through “risk rules”. For example, the risk of a client is higher if his email address is from a free domain or if he uses a VPN. Speed checking is also effective – the number of connections per minute or the speed of filling in fields. But this requires high-quality software, preferably based on machine learning, which can filter customers and highlight suspicious moments. At the same time, there are various tools that automatically filter and check traffic. For example, filtering users from VPNs, non-targeted traffic from proxy servers and requests with the same IP address. In general, gambling operators should always pay attention to the quality of their affiliate partner’s 1, because the latter can cause large losses. For example, the anti-fraud company CHEQ conducted a joint study with the University of Baltimore to find out the amount of losses from affiliates of fraudsters. According to their data, in 2020 this amount could reach $1.4 billion. And without sufficient attention to this issue, losses will grow, because the coronavirus pandemic has contributed to the global spread of affiliate marketing in new markets, and the online gambling vertical is developing especially rapidly.  

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    Topics :CrimePolice

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