At various points in my career, I have conducted some form of research to understand who the ideal customer is for a given product or service. However it's always a painful experience.
The initial part is fairly easy: Run a survey, set up some ads etc.
However the data that comes back from those sources is time consuming to distill. It usually involves a lot of sifting through spreadsheets, creating pivot tables and trying to read the tea leaves.
Was it Millennial women with an interest in gardening that expressed the most interest? How did that compare to Gen X men with a household income of $50k or more?
Does a tool exists that can accept as input CSV data, parse it and spit out customer profiles of those that are most interested in the service that was described/advertised to them?
Obviously larger teams can pay data analysts to do this, but it seems like a tool should exist for it!
This comment was deleted 2 years ago.
Yes one of the questions is about interest in the product. Another is about how much they would be willing to pay. So there are two indicators of interest.
The challenge is there are multiple demographic & psychographic factors, so pinpointing the right combination is difficult.
This comment was deleted 2 years ago.