by Rich Ratcliff, Chief Product Officer Device Fingerprinting is an ineffective concept and latent terminology in 2023. Ok, there I said it, the approach that was created 12 years ago for the market research industry is latent, shocker right? Fraud is defined as the wrongful or criminal deception intended to result in financial gain. It’s […]
Since 2020, the awareness of Fraud’s prevalence in Survey Research has exploded. This is highlighted by the announcement this month of a multi-association effort around helping Researchers & brands tackle this rising issue. While the awareness of the issue is a nice progression, the pendulum may have swung too far to the fear side. I […]
Monthly Reflection Feb 2023 Over the last month, industry conversation was dominated by ChatGPT and the Generative AI evolution overall. The discussion shifted from awe around its rapid power into a fear of how this may permanently disrupt “knowledge” work. This disruption argument, often from “Future of Work” aficionados, creates anxiety for Market Researchers. But […]
One of the coolest elements of the Tech expansion in Market Research over the last decade has been how it dramatically increased accessibility to data collection and the industry overall. However, there’s been an underlying question that has been under-debated in my opinion. Can you truly mirror what a Market Research firm does as a […]
This is the original category of “DIY Research” technology in online surveys. By now, this is a very mature market and is starting to see a variety of mergers and acquisitions. One of the ways these platforms differentiate is by offering different features for different buyer types. Here are a few examples of buyer types: […]
More than 10 years ago, a new wave of sample technology entered the market. The concept was initiated around the idea of bringing the “ad exchange” model to online sample for surveys. Once the race began, back-end tech was prioritized and front-end was rushed. Here’s how it played out. This kind of DIY tech is […]
Insights Platforms are the current trend in the industry. Generally, this category refer to technologies that present a front-to-back way to execute a full research project. A platform may refer to specific methods or specific audiences. For example, you can consider qualitative vs. quantitative research. Qual Insights Platforms can focus on DIY communities, focus groups […]
Buying technology can often be exciting. You feel as if you’re creating a new future that is full of speed and time savings. Believe me, I know. However, comprehensive evaluations should have a full scope of what’s being replaced. In DIY Research, many users fall in love with features and functions of platforms but overlook […]
In Market Research, Data Quality is assumed table-stakes. But, the reality is that today it’s more difficult to achieve than ever. Marketing, insights and market research Pros may be spending millions of dollars on useless results that ultimately mislead clients on a product-market opportunity. In today’s Tech-Driven Insights industry, more “DIY” research is occurring than […]
This is part 2 of the “What is Data Quality?” series. Click here to read part 1: https://www.opinionroute.com/dataquality/what-is-data-quality-and-how-can-i-improve-it/ The survey sampling ecosystem has become highly automated in recent years. Yesterday’s norms of deep validation, ongoing community management and responsive survey takers are long gone. Those methods have been replaced with programmatic engines, reverse auctions, and […]
This is part 3 of the “What is Data Quality?” series. Click here to read part 2: https://www.opinionroute.com/blog/topic-2-survey-fraud-is-a-factor-to-manage/ Too often, in market Research sample, purchase decisions are made based on qualitative factors- convenience, vendor brand identity, historical experiences, etc. But if you want to be serious about consistent data quality, then, to quote John Doerr’s […]
This is part 4 of the “What is Data Quality?” series. Click here to read part 3: https://www.opinionroute.com/blog/topic-3-how-to-measure-data-quality/ No matter how systematized you get with a data quality strategy and great tech tools, you still need expertise and informed judgment as a precursor to “cleaning” any data set. We are proud of the array of […]