Psychographic data vs. demographic data
One of the most significant differences between psychographic and demographic data is that the latter can be standardized, while the former can't.
Demographic data is objective, verifiable, and reducible to numbers, groups, and Boolean (true-false) categories. It's easy to code into spreadsheets and databases for SQL analytics.
Psychographic data are personality- or association-based. It has different meanings to different analysts, which is what makes it so useful. There was a time when psychographic information had to be collected with projective questions, such as "If you were a tree, what kind of tree would you want to be?"
We aren't suggesting that marketers should ask their customers what kinds of trees they would like to be, what kinds of cars they would like to drive, or how much they love their grandmas. Instead, the internet gives us a different way of gathering insights into consumer psychographic data to create a psychographic profile.
Imagine you had a camera that you could legally use to track your customer 24/7. You could review the film and get a good idea of their opinions, attitudes, and emotional makeup.
In fact, you have a tool that's almost as useful: internet analytics. Internet analytics can tell you what kinds of sites your customers visit.
They can inform you of how long your customers spend on a certain type of site, the content that makes them bounce to another site, and how they respond to U/X.
You can make assumptions about your customers from the sites they follow, the groups they join, and the size and composition of their following. You can make judgments about customers based on their comments in forums, their reviews of products, and how much time they spend online. And you can acquire all of this data inexpensively and instantly from third-party vendors and your own site's analytics.