Online Sample Has A Good Problem and a Very Bad One – Data Quality — Greenbook

Online Sample Has A Good Problem and a Very Bad One – Data Quality

The pandemic has impacted the online sample industry – find out how.

TT\ \ by ThinkNow Team

Just as the market research industry began returning to normal, COVID-19 made a comeback as a new variant called “Delta”. As a result, Florida, Texas, Arkansas, and several other states are struggling with high infection rates, delaying workers’ return to the office or requiring them to work remotely.

Google is giving employees the option to work from home. But there’s a catch: Depending on location, work-from-home employees may experience pay cuts as high as 25%. Right now, this is an experiment being carried out by a few tech companies in Silicon Valley and others dotted throughout the U.S. But it makes me wonder, are these the first steps towards permanent remote work for most of us?

Everything indicates no turning back to a post-pandemic way of life. One of the most significant changes during the pandemic was a shift to digital, a change that created numerous opportunities for sample providers by way of increased demand. But the increase doesn’t come without growing pains such as bandwidth and data quality.

A supply problem is a good problem to have

The persistence of the pandemic is driving high demand for online sample recruitment, causing spikes in sample pricing. Many online sample companies are seeing record sales, but most exchange systems have sample constraints. Companies that do not have proprietary panels or sample resources are struggling to keep up with demand.

Another challenge for sample providers is that demand is also very niche, targeting U.S. Hispanics, African Americans, Asian Americans, and White/Caucasians in more rural areas with limited ZIP Codes. So, sample companies invest in their own panel resources and create their own exchanges to reconcile supply and demand. Multicultural sample is essential to building a representative data set, so the inability to get that data compromises output to the client.

Data quality issues also make a comeback

Data integrity continues to be a hot topic within the online sample industry. At SampleCon last year, data quality and responsible sample sourcing was (and continues to be) a key concern as sample providers are stretched to the brink.

At its lowest point, clients opted out of using online data collection as a methodology of choice and resorted to the traditional data collection model (phone, in-person) to get better results.

After the onset of COVID-19, discussion of sample fraud took a backseat to the lives lost due to the pandemic. During this time, traditional research methodologies like in-person focus groups shut down, and clients turned to online sample again as the only form of data collection available.

This brings us to today, 18 months later. Demand for sample is high, but fraud issues persist, making it more imperative than ever that clients work with a reputable sample provider with the experience and security infrastructure to maintain data integrity.

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