It's time to re-think how we do #locationintelligence to choose franchise and retail outlets.

Google Maps is great at some things - but its terrible at mapping for businesses. Here's 5 reasons why 👇 Watch: https://t.co/ik9S1kd8qt #mapping #locationintelligence #territorymapping

“Mango does a great job of providing the outline of territories and having the ability to search through zip code.” Lauren Aten, ForeverLawn Learn how ForeverLawn solved their territory mapping needs in our latest case study: https://t.co/zRR4lmHXmA #franchise #territorymapping

“We would recommend them to anyone looking for this software.” Charlotte Saunders, Little Learners Little Learners needed territory mapping software to assist in their franchise expansion plans. See how it went in our latest case study: https://t.co/Tx8jdDIyG9 #franchise

“I found Mango to be the best option for us. I like how user-friendly it is.” Jarrad Goulding, The Local Guys See how we helped The Local Guys with their #territorymapping in our latest case study: https://t.co/BZcSmu10WH #franchise #franchising

Demographic change has a critical impact on #retail and #franchise brands. In our 2021 Census population map for Sydney, Australia, you can check out the highest growth areas & get insights for new opportunities: https://t.co/JSBCZtvSbB Enjoy! #franchising #locationintelligence

“Mango is a great tool to fast track the growth of your business.” (Raheem Hamilton, Inspire Brands Asia) Get the inside track on how Mango helped Inspire Brands Asia with their #franchise development plans for fitness brand Anytime Fitness: https://t.co/q2FJ19NlHq #franchising

Not only does it open up the full palette of data points to produce accurate conclusions, it gives businesses everything they need to make informed decisions with the highest chance of success and continued business growth.

By moving away from traditional methodologies that describe a world that no longer exists, adopting a multivariate geodemographic methodology is the best way forward in 2022.

When applied to site selection for a new retail outlet, gym, or distribution center, getting the calculation wrong due to poor data transparency and outdated methodology can cause mistakes on a critical level, perhaps even business-critical.

Businesses are currently drowning in data, but are more than ever struggling to make data-driven decisions.

You can view a map of the geodemographics of the entire United States here:

This is where a software like Mango comes in. Our interface makes it easy to include geodemographic classifications when assessing the potential for sites of a retail outlet or fitness club.

As cities continue to rapidly change, there is a need to go beyond the urban/suburban dichotomy to encapsulate the diversity of demographic makeup caused by urbanization.

Let's look at Chapel Hill, North Carolina and the areas surrounding the town. Inhabitants include low-income individuals to the East, wealthy urbanities and, further out, wealthy nuclear families.

As such, geodemographics have become a valuable tool for anyone wanting to understand what might drive success for a retail or franchise outlet in a given location.

Researchers from the University of Liverpool have developed a methodology for the multivariate description of socio-spatial patterns in the U.S and have developed an #opensource geodemographic classification, utilizing free available data from the American Community Survey.

This is the only way to unsilo and blend the rich array of data points we can now access to form an accurate analysis of a given area while removing the guesswork in traditional distinctions that focus only on wealth and race, thus overcoming outdated labels.

Ultimately, if we cannot rely on inaccurate, outdated assumptions, we need to be more nuanced and granular.

Doing so will help capture the real diversity of a city by enabling a holistic analysis using metrics like age, education, language, income, population, and occupation.