Consumers live in the now; they are connected to hundreds of friends and followers through an endless number of devices. Few marketing challenges are trickier than trying to identify and recognize what drives their attitudes and behaviors. What they do and what they say can be vastly different in today’s mobile world.
The Consumer Insights industry is one that is evolving at an exponential pace. Change of this magnitude is giving us reason to modernize our survey designs, evaluate how we’re sampling and sourcing respondents and pushing us be creative with connecting data sources that maximize research funds and extend the value of the insights we uncover.
There is no denying that marketing research is evolving. New technologies, the abundance of data available and consumer dependence of smartphones being the biggest contributors. But how does this change the way we sample via online research? And source permission-based, quality respondents?
A recent blog from Lisa Wilding-Brown likened panels to “the polar icecaps of the industry.” It referenced grabbing an ice cold beverage for the read and this was spot on - I found the article refreshing.
Why? Because another panel leader bluntly and accurately outlined the key issue for panels today - that surveys are no longer fit for purpose. We know more than 50 percent of panellists are engaging via their mobile devices, yet they complete only 2 percent of studies on these devices. What’s more, there is nearly double the drop off rate compared to PC users.
This blog post was originally published on GreenBookBlog.org.
Are the best days of online research panels behind us?
Research fieldwork methodologies come and go. Postal panels, central location interviewing and CATI all had their moments, but are now outmoded. By all indications, the peak of online panel research was more than five years ago when we had large, responsive, deeply profiled panels. Today, panels are less responsive; respondents do not remain in panels as long and two key benefits of panels, sample selection and panel profiling processes, have largely been replaced by lower quality dynamic pre-screening and respondent allocation algorithms.