Delineate’s Post

In today's digital age, fraud in online surveys is a growing concern; bots, fake profiles, and inattentive respondents can distort your data, leading to misguided decisions, wasted resources, and even failed products. Read the blog and discover how Xcel Global Panel (XGP) understands the cruciality of data integrity and is well-equipped with an advanced in-house quality assurance system, ensuring your studies remain protected from fraud. Subscribe to our biweekly newsletter and stay on top of industry trends and innovations: https://lnkd.in/gANQAcUv Manish Narang |R Vishal Oberoi|Manas Gupta | Varun Pathak | Vivek Gupta| Sapna Singh| Raaj Dharmanni| Rahul Bhatnagar| Shalini Singh | Mohit Gour | Aakash Bhasin #onlinesurveys #surveys #frauds #onlinefrauds #marketresearch #mrx #globalresearch

As a wider market research industry, we need to unite to minimize survey fraud. How? Here are some thoughts from our CEO and founder James Turner: https://hubs.la/Q02q6n2l0 #MRX #ResTech #MarketResearch #Insights #Analytics

Unlike behavioral analytics, which identifies patterns and trends over time, behavioral intelligence focuses on real-time analysis and interpretation of user behavior along with other data sources

Are Your Online Surveys Really Giving You the Truth? Discover how a multifaceted approach can help you combat survey fraud and ensure that your data remains reliable and actionable. Let’s keep the insights genuine! → https://hubs.ly/Q02JX_1t0 Sanjay Tiwari, Teamarcs Technologies #OnlineSurveys #FraudPrevention #DataQuality

This article is a good read for the anti-fraud minds. It gives a quick overview of data driven anti-fraud techniques 👮♂️ . https://lnkd.in/e3UTrW_a

Click farms or organized fraud efforts, often with many workers using multiple devices, account for as much as 75% of all survey fraud. Surveys are a cornerstone of gathering valuable insights in today's data-driven world. But with great data comes great responsibility – the responsibility to ensure its accuracy and integrity. In this era of GenAI keeping up with those pillars is a task to be dealt with at hand. In recent findings from Kantar, researchers reported discarding up to 38% of the data they collect due to concerns over quality and panel fraud. This indicates that a substantial portion of survey investments may be wasted or lead to wrong insights. More than a third of the money invested in the survey is wasted leading  to poor business decisions due to fraudulent responses But to deal with it we have an artillery at hand. 1. IP Geolocation Verification 2. CAPTCHA Verification 3. Time Tracking 4. Trap Questions 5. Respondent Verification Services 6. Two-factor authentication (2FA) Slide through the carousel to find out: - How IP Geolocation works to expose inconsistencies - Why it's a crucial element in your anti-fraud toolkit - Practical implementation strategies for maximum impact - Top tools for IP Geolocation verification By harnessing the power of IP Geolocation verification, we can safeguard the integrity of our surveys and unlock the true potential of data-driven decision-making. #fraud #marketresearch #insights

Are you sure your respondents are who they say they are? Last week I attended a webinar hosted by the Global Data Quality Initiative ( https://lnkd.in/g7J7dsEf ). This is an issue impacting all of us involved in collecting primary survey data. The problem of survey fraud seems to have got far, far worse over the past 2-3 years. As designers of surveys and users of the data there is a risk that we tend to delegate the process of screening out fraudulent responses to the big companies hosting the survey and providing the panel contacts. We all need to be paying a lot more attention to this and building more sophisticated checks into our survey scripts. Survey fraud is not a new phenomenon; low level fraud can manifest as a bit of noise in the data, some odd-looking responses to open questions or a few responses with slightly illogical responses. However, when looking at tracking surveys over the past 10 years and we suddenly see reported incidence of a measure we’d expect to be relatively static rising quickly over the past 2 years, there has to be a logical explanation. Certainly, the sector market shipment data doesn’t corroborate the rise in claimed usage that the raw data in our surveys have reported. A conservative estimate from a recent survey hosted by one of the major providers suggests that as many as 10-20% of all responses could have been fraudulent. The tricky bit of course is working out which ones are fraudulent. At Actualise we invest a lot of time in thoroughly checking every line of data to remove as many fraudulent respondents as possible. We’ve been developing more sophisticated checks and techniques for identifying these fraudulent respondents. I fear though as AI becomes ever more sophisticated, these fraudulent respondents are going to be harder and harder to weed out. As technology moves on to help us identify the fraudsters, developments also help the fraudsters stay one step ahead like a digital game of whack-a-mole if you like. The future of our industry really is dependent on the big panel providers finding ways to more effectively screen out these fraudulent respondents. Rather than focusing on the size of the panel and bringing down the cost of each interview, we need to focus on the quality of the respondent and the sophistication of the checks in place to validate data quality.

*** 𝗙𝗿𝗮𝘂𝗱𝘀𝘁𝗲𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸 *** In the spirit of Kevin McAllister: It’s your survey; you have to defend it! As we move into the holidays there are fewer surveys in the field, but also many fewer qualified respondents taking surveys. While we typically block 25 to 30% of respondents before they enter our clients’ surveys (including duplicate entrants, fraudsters, and hyperactive respondents), we expect this number to rise further in the next few weeks. Fraudsters don’t take time off for the holidays, so their contribution to survey completes becomes outsized. If you field research later this month, don’t be caught #HomeAlone with the fraudsters. #whatdoesfraudcostyou #samplefraud #insights #mrx #marketingresearch #restech

📝 New Article Alert: How Can We Minimize the Risks of Respondent Fraud? In the world of data-driven decision-making, the integrity of our data is paramount. Yet, the challenge of respondent fraud continues to be a significant risk that can undermine our research efforts. I recently wrote an article for Daily Data Bytes., where I delve into practical strategies for identifying and mitigating the risks associated with respondent fraud. Whether you're involved in market research or data analytics, this piece offers insights that could help protect the quality and reliability of your data. 🔍 Read the full article via the link in the comments (in Dutch). Let's ensure that our data remains trustworthy and valuable! #DataQuality #MarketResearch #FraudPrevention #Insights #dynata

Data quality issues start at the source: your sample. Today anywhere between 4% to 24% of survey responses can be fraudulent, according to CASE4Quality. In a world with bots, survey farms, and professional survey takers, it’s critical to ensure your data's integrity. Based on my 30+ years of experience in research, here’s some thoughts on keeping your data reliable and participant responses thoughtful: ⬇️ Minimize low-quality market panels: Fraud can creep in when participants are solely motivated by incentives. 👩💻 Build your own proprietary community: Control who joins and how, ensuring members are genuinely interested in your brand. 🔀 Recruit across multiple channels: Different channels bring different benefits. Leverage your marketing database, website visitors, event attendees, and social media followers to build a diverse, authentic group. 🧐 Verify participant identities: Tools like video feedback, photos, and SMS verification make it easier to confirm that participants are real — not bots. At Rival Technologies and Reach3 Insights, we’re serious about quality. We use SMS for community engagement, which is tougher for fraudsters to exploit compared to email. (How many people do you know have multiple phone numbers vs. how many people have multiple email addresses?) Bottom line? By recruiting from trusted sources and adding verification steps, you can dramatically improve the reliability of your data. Know who’s giving you feedback, and gain confidence that your insights are as authentic as they come. #insights #marketresearch #mrxpros