Understand Data on a Deeper Level
My all-time favorite subject is machine learning. I love taking data and turning it into something useful for others. I take most often Twitter Data and try to understand what I can know about the people who have written those tweets.
One of my favorite stories is the one that follows. I used big data and machine learning to answer simple question in a way that they are not able to be answered in another way.
These are some of the tools that I used in this process: Keith’s Amazon Machine Learning Tools
Owners of small businesses often do not feel the need to or are not aware that they are able to make use of big data and machine learning techniques to increase their chances of being successful. These techniques can help small businesses find out more about their customers without having to run surveys or to make their customers feel uncomfortable. There is more to a name than meets the eye.
A small ecommerce shop can gain information that can help it to serve its customers better by getting a better picture of who the customers are. The smartest and simplest beginning technique is to use the first name of a customer to start building a more in-depth picture of your customers in order to be more confident in how you approach them and to make their business transaction experience feel a bit more personal.
A name contains many clues to the person who owns it. There are very simple to use tools that allow one to take a name and to get likely information about the customer. With a name, we can get the probability that a person is a male or female, whether or not they have children, if they are married, how many years of education they have and even their age.
If we look a person with the name Patricia, we determine that Patricia is probably a female, she is approximately 20 years old, she most likely has one child, she is most likely not married and does not have much education. All of this information gotten about the customers is from the prevalence in general society. Of course, this can all be updated once more data is collected about the actual customers. But this gives us a place to start thinking of our customers as real people.
If we determine that these customers group nicely, we can start to create personas and start to tailor our products to those specific groups. Groups like younger mothers could be one name. Older mothers with their first child could be another group. It looks like these customers tend to be female and we are not allowed to collect information on children, so that I why I call the female customers women.
In conclusion, there is much just barely hidden in a name. This name can unlock powerful tools to help customers benefit more from your business and for you to attract more of your customers’ business needs by knowing more about them and organising your product offering to be more beneficial to them. There is much in a name.