{"id":1136,"date":"2023-10-25T17:20:31","date_gmt":"2023-10-25T17:20:31","guid":{"rendered":"https:\/\/www.easidemographics.com\/web\/?p=1136"},"modified":"2023-11-29T15:42:04","modified_gmt":"2023-11-29T15:42:04","slug":"how-to-learn-more-about-your-customers-with-easi-profiles","status":"publish","type":"post","link":"https:\/\/www.easidemographics.com\/web\/how-to-learn-more-about-your-customers-with-easi-profiles\/","title":{"rendered":"How to learn more about your customers with EASI\u00ae Profiles"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">After so many years in business, we\u2019re familiar with the data sets, variables, and reports our customers like and use. That\u2019s why we distilled the most searched variables customers use in their reports to create EASI<\/span><span style=\"font-weight: 400;\">\u00ae<\/span><span style=\"font-weight: 400;\"> Profiles.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These profiles are a proprietary combination of variables and calculations we\u2019ve developed over our <\/span><span style=\"font-weight: 400;\">NN years of business<\/span><span style=\"font-weight: 400;\">. Generally speaking, the profiles help customers measure the relative concentration of key social characteristics in a location and are displayed as a weighted concentration of the selected variables relative to the population.\u00a0<\/span><\/p>\n<h2><i><span style=\"font-weight: 400;\">How do EASI<\/span><\/i><i><span style=\"font-weight: 400;\">\u00ae<\/span><\/i><i><span style=\"font-weight: 400;\"> Profiles help customers?<\/span><\/i><\/h2>\n<p><span style=\"font-weight: 400;\">EASI<\/span><span style=\"font-weight: 400;\">\u00ae<\/span><span style=\"font-weight: 400;\"> Profiles answer many questions customers may have about a geography or group, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Is the area dominated by rental units or owners?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What education level is most popular in this area?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What\u2019s the income level in this area?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Is the population locally born or born outside of the US?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">When running any report, customers can choose between 23 categories of variables available for profiles depending on their EASI subscription level.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many customers use Profiles as a starting point in their data journeys as they offer a summary overview of their chosen geography and how the variables compare to the rest of the population in the area and the nation (the EASI Rank column.) After generating the report based on EASI Profiles, customers have a better idea of what else they wish to research in their chosen geography and the sorting option.\u00a0<\/span><\/p>\n<h2><i><span style=\"font-weight: 400;\">How to use EASI<\/span><\/i><i><span style=\"font-weight: 400;\">\u00ae<\/span><\/i><i><span style=\"font-weight: 400;\"> Profiles<\/span><\/i><\/h2>\n<p><span style=\"font-weight: 400;\">Depending on your business, you\u2019ll want to know different information about the geography you\u2019re interested in. Each variable is given an EASI Score from A to E. This score is a proprietary scoring method we use that represents a weighted concentration of the selected variables relative to the population in the geography. An \u201cA\u201d score is the variable with the highest concentration group and is in the top 20% of the quintile, while \u201cE\u201d is the lowest concentration group and is in the bottom 20%. Use it to sort the report as needed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Each EASI report lists a Dominant Profile that indicates the most dominant or highest value EASI Profile variable for that geography and report. For example, a report run on a small town with a college will likely have an \u201cApartment (20 or more units)\u201d as the dominant profile since the largest portion of the population will be college students who live in dorms and shared apartments. One run on a large urban center with public transit will likely have a \u201cSubway or Bus to Work\u201d dominant profile since many people there don\u2019t own vehicles or find commuting\u00a0 easier with transit.\u00a0<\/span><\/p>\n<h3><b>Comparing variables by EASI<\/b><b>\u00ae<\/b><b> Profile<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Here are a few example comparisons you can see in the EASI<\/span><span style=\"font-weight: 400;\">\u00ae<\/span><span style=\"font-weight: 400;\"> Profile report for Madison, WI and San Francisco, CA.<\/span><\/p>\n<table>\n<thead>\n<tr>\n<th><b>Variable<\/b><\/th>\n<th><b>EASI Score*<\/b><\/th>\n<th><b>What that means<\/b><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Very Spanish<\/span><\/td>\n<td><span style=\"font-weight: 400;\">San Francisco: A<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Madison: B+<\/span><\/td>\n<td><span style=\"font-weight: 400;\">There are more people who identify as Hispanic in San Francisco than in Madison, though a decent proportion of the Madison population identifies as such.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Unemployed worker<\/span><\/td>\n<td><span style=\"font-weight: 400;\">San Francisco: A<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Madison: D-<\/span><\/td>\n<td><span style=\"font-weight: 400;\">There are significantly fewer people in Madison who identify as unemployed versus San Francisco.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Median Age<\/span><\/td>\n<td><span style=\"font-weight: 400;\">San Francisco: D-<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Madison: E-<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Both cities have a low median age compared to the rest of the country, probably because Madison is a college town and San Francisco is home to many tech companies that traditionally employ younger people.\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Long Time Residents<\/span><\/td>\n<td><span style=\"font-weight: 400;\">San Francisco: C<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Madison: E+<\/span><\/td>\n<td><span style=\"font-weight: 400;\">These lower scores when compared to the rest of the country are due to two different reasons:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Madison is a college town, so there\u2019s always an ebb and flow of residents, while San Francisco\u2019s high real estate prices likely cause many people to move regularly.\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b><i>* Note: These scores are valid on the date these reports were run; they may be different today.\u00a0<\/i><\/b><\/p>\n<h2><i><span style=\"font-weight: 400;\">Uncover more insights with EASI<\/span><\/i><i><span style=\"font-weight: 400;\">\u00ae <\/span><\/i><i><span style=\"font-weight: 400;\">Profiles<\/span><\/i><\/h2>\n<p><span style=\"font-weight: 400;\">Sometimes, you just want to see the most popular variables for your chosen geography. That\u2019s why we created EASI Profiles. Use them to sort any report by the most searched variables customers use in their reports and discover insights faster.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For more information on EASI Profiles, the ones available in your subscription, and any other questions about your reports, contact EASI today. We\u2019d love to hear from you and help you get the most out of your reports.\u00a0<\/span><\/p>\n<div class=\"clearfix\"><\/div>","protected":false},"excerpt":{"rendered":"<p>After so many years in business, we\u2019re familiar with the data sets, variables, and reports our customers like and use. 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