You might not see it on the surface, but your company collects tons of data. With every visit to your website and every transaction that takes place there, you should be collecting the basic demographic information of your buyers and what they like to buy.
So many firms are starting to understand just how important it is that they know how their customers evaluate the customer service that they provide. It seems like every day we all get multiple inquires about the quality of service which they rendered.
It’s the 21st century and we are all glued to our phones. Between Facebooking, tweeting, and emailing, we generate 2.5 quintillion bytes of data daily. Because of this, consumers are forcing companies to perform in new and innovative ways. And with that comes big data.
The right price is something of a moving target for many companies. You may need to change the tag on a given product multiple times during the period of time you offer it and the more detail you can offer on the decisions to do so, the happier your customers will be.
My problem is that so-called “data from customers” is rarely truth. Data gathering is plagued with problems of research design, random lists, skewed questions, half truth and innuendo disguised as data.
There is a general rule in the market that customers will generally only offer feedback when they either have a really bad experience or great one. If you believe that customers rarely say a word when their experience falls somewhere in the middle you are missing some valuable information.
At the end of the day, adhering to industry, and government compliances makes you competent to do business within your category, but it does nothing to differentiate you. You are simply on an equal footing with your compliant competitors.
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