What makes a city happy? Bike lanes? Micro pubs? Low crime? Can anyone really know?
I built software designed to look at your CRM and figure out segments of customers and potential customers, why they buy and how to delight them. This technology is based on years of research, machine learning and big data, connecting human activities to lexical based, psychometric traits, the building blocks of personality. I see the world though a lexical interpretation of human activities. What you do in life can be a bridge to deep meaning and psychometric interpretation. With the help of many, here are our findings:
We are starting a series of reports on cities and locations in the United States. We see these reports on “top cities” and wanted to dig a little deeper and find out why they were selected.
Think of a city as a CRM. Many segments exist within the city. It’s not fair to say everyone is happy in these cities. Likewise, our technology can reinforce or refutes the reports we find.
Below is our brief report on the happiest cities in the US. There are many sources for happiest cities. We used the National Geographic report.
To start, we summarized all happy cities into one. If you want to know more about each city, please write and we will try to get you answers.
For these 25 happiest cities we found the following human activities in far greater occurrence than the US as a whole.
A high degree of active investing, including real estate investing. Political contributions also top the list. These cities over index for sports and leisure activities, including boating and sailing, international travel, camping and hiking. Many of its citizens work from home, belong to clubs and have a high interests in buying apparel. Many are interested in space science. Almost all other activities are not over indexing.
While human activities are interesting, it does not say why you make the decisions you do. By looking deeper into these activities, we discovered many interesting psychometric characteristics of the 25 cities.
Again, bundling 25 cities together is honestly too broad. If we were looking at your CRM, we would segment according to SKU purchases, and other activities, looking for psychometrics based upon purchase and lack of purchases.
Psychometrics of the 25 happiness cities.
In summary, ‘enough’ money and spare time ‘used well’ make for a happy city. Some people have lots of money and can afford boating and international travel while enough money allows for hiking and freedom to think. It makes sense and the technology confirms it.
Analytical thinking — a high number reflects formal, logical, and hierarchical thinking. People who use analytical thinking appear to be very intelligent, or systematic. They pay close attention to details. They need facts, like organization and structure. They do not need as much outside stimulation.
They also have very high emotional tone. A high number is associated with a more positive, upbeat style. People tend to be optimistic, cheerful. They show more resilience in everyday situations.
Don’t be surprised if you encounter people in happy cities using “big words”, be present focused, and use more than usual number of prepositions. Prepositions fit well into this picture. These citizens are providing more complex and often concentrated information about a topic. Picture finding long, detailed blog post in these cities.
Finally, the cogitative process for discrepancy and negation can be high….. in Bolder. While money is always a concern it is not a priority or source of stress for many in the happiest cities.
Imagine applying this type of data to a CRM. It can help you predict and help describe what your organizations means to the world , why it sells, and maybe why it can’t sell certain things.
We are designed to help you see your CRM in whole new way, psychometric way. We help you figure out why people buy long before they know what they want (predictive analytics). We look deep into what delights people (customer delight as a KPI) about your company. Having a deep understanding of people is a lot like knowing a friend. It significantly impacts conversion rates and retention.
Our technology is based on years of research, machine learning and big data, connecting human activities to lexical based, psychometric traits, the building blocks of personality. We see the world though a lexical based interpretation of human activities. What you do in life can be a bridge to deep meaning and psychometric interpretation about who we are and why we want and desire certain things.