Unveiling the Dark Side of Telemarketing

Unveiling the Dark Side of Telemarketing

How Fake Buyers, Publishers, and Data Vendors are crashing the Market?

The current state of the live-transfer/call center/telemarketing industry is facing a major issue at this moment. A whopping 90% of the market is plagued by fake publishers, fake buyers, and fake data vendors. These fraudulent entities are creating a host of problems for legitimate players in the industry, resulting in a crash in the market.

Fake buyers, in particular, are causing a lot of damage by refusing to spend money on complaint traffic. Instead, they continue to purchase non-complaint traffic with fake or temporary complaints. Meanwhile, fake publishers also contribute to the problem by buying data from fake data vendors and generating non-complaint traffic through shady means.

It’s worth noting that the problem of fake traffic has become even more challenging with the emergence of artificial intelligence (AI) and machine learning (ML) technology. In the past, it was relatively difficult to generate fake Jornaya or Trusted Form Lead IDs or fake complaint traffic. However, with the power of AI and ML, creating fake traffic has become almost effortless.

These fraudulent players in the market are using AI and ML algorithms to create fake traffic that appears legitimate and complaint. They can do this by simulating the behavior of genuine customers and manipulating data in real-time. This means that the traditional methods of detecting fake traffic are no longer effective.

The use of AI in generating fake traffic has made it even more difficult for legitimate players to compete in the market. It’s vital for players in the industry to understand the scope of the problem and come up with innovative solutions that can tackle this new challenge

These fake buyers then use their hacks on the same traffic to make it look like complaints and send it to their advertisers and networks with temporary complaints. This leads to chargebacks, lawsuits, a 0% conversion ratio, higher CPA costs, and other issues. Sadly, this is how the market is currently operating, and not many people are willing to spend money on bad results.

The problem is compounded by the fact that the existing regulatory framework is inadequate to deal with these issues. The Federal Trade Commission (FTC) has tried to crack down on fraudulent practices, but it’s difficult to identify and prosecute fake buyers, publishers, and data vendors who are operating under the radar.

This situation has created a dire need for a comprehensive solution that can address the issue at its core. There is an urgent need for legitimate players in the market to come together to develop effective strategies that can curb these fraudulent practices. This could include better regulation, enhanced monitoring, and the establishment of best practices that all players in the industry must adhere to.

 the telemarketing and call center industry is currently facing a significant challenge due to the prevalence of fake buyers, publishers, and data vendors. The market is in a state of crisis, and the existing regulatory framework is inadequate to deal with the problem. The industry needs to come together to develop effective solutions that can address the issue at its core, and ensure that legitimate players can operate in a fair and transparent market.

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The discussion then zeroed in on how insurance companies can achieve a personal touch at scale. Two key components came to the fore: first, having the right volume and quality of data to enable advanced analytics and machine learning algorithms to predict what customers want; and second, having the infrastructure set up in the right way to respond in the moments that matter for customers. On top of these elements, having people in the organization who are responsible for specific initiatives helps drive continuous improvement and rising value.

The key is having the right information to get a clear view of the customer, so the company can contact them about relevant things at the right time. One proven approach to achieving this is creating an analytics ‘hub’, by bringing together an insurer’s data scientist in a single practice and extending their remit from pricing, to the entire customer journey. As a result, parts of the business that may never have used behavioral analytics can ask for resource and focus on solving a customer problem that they couldn’t have solved before.

These insights triggered a discussion about what value-added services will become most important in the next few years. According to Axail Media , the key to creating and delivering these lies in tapping into the ecosystem surrounding the Internet of Things  “Take home insurers as an example,” “A customer’s home is not bricks and mortar any more. A customer’s home includes all of the services that they have—everything from their virtual assistants, smart fridge, smart cams, you know, everything. What insurers need to do is make sure that they are there, they are relevant and that they are able to provide the reassurance, the risk prevention, the actual insurance to that emerging and evolving definition of ‘home’.”

So, armed with wider data and insights like these, how can insurers be sure to offer the right product to the right customer at the right time? “The answer is for insurers to become application programming interface (API)-driven, use machine learning to generate relevant recommendations, and then experiment and learn iteratively to improve the entire experience” According to Axail Media  This type of connected proposition that will be key to success in the future.

You’ve got three choices,“ You’ve got build it, buy it or partner. The people listening to this are going to be of varying sizes and have different opportunities available to them. But if you look at your own infrastructure, your own capability, Axail Media can support you with all three of those approaches and get the ones right for you. So, partnerships will be vital.

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