Customer segmentation is much more than merely “categorizing” customers along traditional baseline filters: demographics, geographics, psychographics, and prior purchase history. While those data points are useful as far as they go, they simply don’t go deep enough.
To elevate a brand and maximize revenue, it is increasingly critical for B2B companies to understand the entirety of their brand’s value. From brand mapping to apostle analysis, burgeoning B2B firms have many ways to gauge and grow the impact and awareness of their brand.
It’s not just a matter of the size of the market, but rather why, and how we should respond, position and innovate to improve market standing, future outcomes, and overall profitability.
The integration of artificial intelligence into market research processes has been embraced by some as a game-changer, promising to streamline data collection, enhance analysis, and drive informed decision-making. However, as with any technological advancement, the advent of AI brings both opportunities and challenges, prompting researchers to navigate the terrain with caution and curiosity alike.
One of our recent innovations in our ongoing pursuit to optimize and perfect Emotion Intelligence research is the use of images in a “qual-then-quant” process to gain deeper and more authentic insights into how emotions and sentiment are driving purchase decisions (or not).
It is critical, when analyzing and working to optimize customer experiences, that three primary tenets of sound CX design be woven deeply into the fabric of the analysis, even when using artificial intelligence or other technology to do some of the information gathering and processing.
Contact Us
"*" indicates required fields
