{"id":1006,"date":"2019-01-10T14:30:22","date_gmt":"2019-01-10T14:30:22","guid":{"rendered":"https:\/\/persona.ly\/blog\/?p=1006"},"modified":"2022-01-20T15:03:49","modified_gmt":"2022-01-20T15:03:49","slug":"market-research-fraud-distributed-survey-farms-exposed","status":"publish","type":"post","link":"https:\/\/persona.ly\/blog\/2019\/01\/market-research-fraud-distributed-survey-farms-exposed\/","title":{"rendered":"Market Research Fraud – Distributed Survey Farms Exposed"},"content":{"rendered":"\n

Most of our partners know us for our mobile marketing services – from our data-driven user acquisition to our playable and interactive ad creation. However, market research is how our company actually got started back in 2011, and we\u2019ve been providing survey samples to the biggest MR companies all these years. So when it comes to surveys and GPT (\u201cGet Paid To\u201d, i.e reward program websites) we\u2019ve created multiple products to gather samples and have been developing proprietary technology to ensure data quality for the past 8 years. <\/span><\/p>\n\n\n\n

We monitor over 35 real-time and post-completion data points to ensure data quality and we\u2019re constantly improving the ways we track our data, because, as everyone in this industry knows, there will always be new methods of fraud – be it human (like click farms) or human-made (like bots and VPN\u2019s). <\/span><\/p>\n\n\n\n

With the use of these protective measures, we were able to detect suspicious activity that we didn\u2019t recognize initially. This led us to investigate and eventually detect a new fraud method, ban its proprietors, and add measures to block any future occurrences of it. Since it\u2019s a wider phenomenon and not an isolated case, we think it\u2019s important to share it.<\/p>\n\n\n\n

Discovering Undetectable Fraud<\/strong><\/b><\/h2>\n\n\n\n

Last November, our system alerted us about an anomaly in our completion rates for surveys from Australia. We saw that the survey completion rate grew by 200% in the span of a couple of days and that all of this traffic stemmed from a single source. <\/span><\/p>\n\n\n\n

The numbers were still relatively low (a substantial increase but from a low number of users) but we had to check such a drastic change in the numbers. <\/span><\/p>\n\n\n\n

When we looked at the data, it seemed legitimate – the users’ devices had different IP\u2019s, they didn\u2019t seem to use a proxy, they had different user agents and the time it took to complete a survey differed (meaning, the users\u2019 behavior didn\u2019t seem as scripted like bots usually do). Other than the sudden completion rate increase, the traffic itself seemed valid. <\/span><\/p>\n\n\n\n

Finding The Source<\/strong><\/b><\/h2>\n\n\n\n

Our second step, after our data analysis was deemed inconclusive, was to register to this source\u2019s website ourselves. Now, before we\u2019ll get into the whole process, we want to quickly note that we\u2019re showing the publisher\u2019s name knowing full well that once this article is published, this source will re-name his \u2018company\u2019 and that the website he used as a front will most likely disappear. <\/span><\/p>\n\n\n\n

\"SandyBucks'<\/a>
The source where the traffic came from was SandyBucks<\/a>. <\/figcaption><\/figure><\/div>\n\n\n\n
\"SandyBucks<\/a><\/figure><\/div>\n\n\n\n

SandyBucks is a seemingly ordinary reward program website, but once we tried signing up we immediately received an error message. This was no coincidence, we tested it and quickly concluded that there\u2019s no \u201cSandybucks\u201d beyond this signup page – it\u2019s just a front. At this point, we knew that this traffic, although it looked legitimate, was fraudulent. <\/p>\n\n\n\n

Our next move was to track where SandyBuck\u2019s traffic really came from. We started by checking Sandybucks\u2019s domain at websites such as Similarweb <\/a>and Alexa<\/a>. Similarweb didn\u2019t find any evidence that the website even existed, while Alexa was able to get us our first lead from the \u201cWhat sites link to\u201d section, which is where we found mxpartime<\/a>. <\/p>\n\n\n\n

\"Finding<\/a><\/figure><\/div>\n\n\n\n

We then ran <\/span>mxpartime<\/span><\/a> domain through <\/span>whois<\/span><\/a> to try and get additional details to no avail, but once we started translating <\/span>mxpartime<\/span><\/a> we had all the information we needed. <\/span><\/p>\n\n\n\n

School of Fraud<\/strong><\/b><\/h2>\n\n\n\n
\"mxpartime<\/a><\/figure><\/div>\n\n\n\n

After a thorough investigation (detailed below the flow chart), we found that the creator of “SandyBucks”, who operates “mxpartime”, charges individuals for teaching them how to set up their own “click farms” for surveys. If you enter \u201cmxpartime\u201d all you\u2019ll see is Chinese, and trying Google translate on the page, in this case, won\u2019t help clear too much up. We used the assistance of our Chinese office, who on top of translating, explained why the process was a bit more complicated to understand and required a long discussion rather than just translation. <\/span><\/p>\n\n\n\n

Let\u2019s start with what is this website – \u201cmxpartime\u201d is a website where the creator of \u201cSandybucks\u201d teaches GPT fraud. The participants (i.e users) pay according to the type of \u201cclass\u201d they want to take, where they learn everything they need to know to successfully complete a survey and get rewarded. <\/p>\n\n\n\n

\"\"<\/a>
The different type of “Classes” you can take at “mxpartime”<\/figcaption><\/figure><\/div>\n\n\n\n

Obviously, there\u2019s nothing wrong with completing a survey successfully, the problem is that at \u201cmxpartime\u201d the users are taught how to systematically complete the same (usually high-paying) survey<\/strong> multiple times and get immediately rewarded.<\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

Notice how he explains, at the end of the post, that you don\u2019t need to take surveys every day, and you can just open multiple accounts and make all the money you need in 1 day. <\/p>\n\n\n\n

Another example of fraud is in this example, where \u201cSandybucks\u2019\u201d owner offers assistance in cashing out from a French Paypal account: <\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

Essentially the fraud is similar to what\u2019s known in the mobile industry as \u201cclick farms\u201d. \u201cSandybucks\u2019\u201d owner offers surveys fraud training and the graduates end up with their own survey farm – opening multiple accounts of a single survey and passing it by repeating answers that they know will get them through the survey. It can be in different languages, in any geo, and for any age – he teaches the \u201cfull package\u201d of everything needed to cheat in order to pass the survey.<\/p>\n\n\n\n

Realizing The Scale<\/strong><\/h2>\n\n\n\n

We know that the danger of exposing fraud and explaining how to prevent it is to \u201cteach the enemy\u201d how to overcome it, but the more we investigated, the bigger the scale of the fraud that we found. <\/p>\n\n\n\n

This was our most shocking discovery – the realization that he\u2019s working with survey providers within the industry, that there are companies that legitimize his actions. <\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

As we continued our research, we tried to uncover his identity but only managed to find his first name: Ming Xuan.<\/span><\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

This QQ chat between him and a client was posted on his website, showing how he\u2019s constantly getting paid, to prove that he can be trusted. The office’s picture enables us to glimpse into his survey farm.<\/p>\n\n\n\n

Tracking & Preventing The Fraud<\/strong><\/b><\/h2>\n\n\n\n

At this point in the process, \u201cSandybucks\u201d was long banned from our system, but we wanted to put an end to these survey farms and make sure this seemingly legitimate data couldn\u2019t come back from other sources as well. <\/p>\n\n\n\n

In order to prevent this fraud from repeating, we analyzed these users’ behavioral data and added additional fraud detecting tools.<\/p>\n\n\n\n

\"Persona.ly's<\/a><\/figure><\/div>\n\n\n\n

We have different panels and they all require different types of verification. Once we\u2019ve learned of this fraud, we understood that all of our panels must require more robust mobile verification, which we\u2019ve applied since.<\/p>\n\n\n\n

We\u2019ve noticed that these users don\u2019t use a detectable VPN, and upon further investigation found that they change Geos by using botnets (networks of malware-infected devices that are controlled by 3rd parties)<\/span>. Our way of detecting and preventing it was by using our existing database of reliable IP\u2019s, which updates on a daily basis and combine it with a 3rd party validation tool to track and maintain the IP\u2019s reputation.<\/p>\n\n\n\n

Eventually, we added these and other new tools to our existing technologies (such as device fingerprinting & reputation, Recaptcha, Red Herring questions, and LOI comparisons) and \u201cfed\u201d the data to our algorithms, so they can learn to automatically detect and block similar fraudulent sources.<\/p>\n\n\n\n

Other than money being spent in the wrong places, the biggest impact this fraud has on the industry is in the quality of the samples. Once the users are following a script for their answers, the samples are meaningless, inconsequential, do not represent real consumers, and can lead the advertisers to make misguided decisions, defying the entire purpose of conducting market research in the first place.<\/p>\n\n\n\n

We move forward knowing that the fight against fraud continues and we\u2019re willing to go to great lengths to continually ensure data quality. We\u2019re sure our counterparts will join us in our efforts to do so and hope that by sharing this we can help the industry further understand and prevent this fraud method and others that might follow it.<\/p>\n\n\n\n

We’ll be attending SampleCon 2019<\/a> next month, where we’d be happy to discuss things further and share additional details. Click here<\/a> to set up a meeting.<\/p>\n","protected":false},"excerpt":{"rendered":"

Most of our partners know us for our mobile marketing services – from our data-driven user acquisition to our playable and interactive ad creation. However, market research is how our company actually got started back in 2011, and we’ve been providing survey samples to the biggest MR companies all these years. So when it comes … <\/p>\n

Continue reading “Market Research Fraud – Distributed Survey Farms Exposed”<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":1058,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[23,32,24],"tags":[45,262,268],"acf":[],"yoast_head":"\nMarket Research Fraud - Distributed Survey Farms Exposed | Persona.ly - The Weekly Retention<\/title>\n<meta name=\"description\" content=\"Most of our partners know us for our mobile marketing services - from our data-driven user acquisition to our playable and interactive ad creation.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/persona.ly\/blog\/2019\/01\/market-research-fraud-distributed-survey-farms-exposed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Market Research Fraud - 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