Real estate analytics leads to improved decision making, customer engagement, and building performance. A large part of real estate analytics includes location data. It all starts with choosing the right tool. This article has a brief list of the top real estate analytics companies and what types of features they bring to the table for commercial real estate, in particular.
MFR Investment --> Will cash flow from real estate rental property income continue to grow? Is COVID going to come raging back to Louisiana and put your fund at risk? Could 18 million people each year decide the French Quarter is no longer a fun place to be?
Five Below is a growing brand -- Retail Location data can help them, or any retailer, penetrate new markets, grow distribution, and expand assortment.
Many use cases for location data boil down to informing investment decisions and the financial services industry is certainly no different. Though the manner of the investment varies, the need in financial services that location data meets is to intelligently augment broader decision-making processes.
No matter the vertical, there are seemingly just three overarching location data use cases. Each use case is simple enough to define but covers a fair bit of ground in terms of variants and application.
On the surface, US Covid-19 migration trends and the associated narrative are clear: people are leaving big cities, billions are being redistributed, brands and investors are struggling to sort it all out . . . These stories repeat themselves in both the data and the media, and they’re true, on a broad scale. But then there’s the funky stuff.
Demographic data can provide excellent insights on its own but how can it be used to augment fresh location data, too?
You will learn each car dealer’s census tract traffic patterns for October 1 2020 into March 2021. You will get precise venue foot traffic measurements by auto dealer location and brand, including activity trendlines. Finally, you will see where people are coming from to visit these dealerships, how far they are travelling, how long they are staying there, and the competitive car dealership brands they are visiting.
Finding absolute visitation numbers for venues requires a lot of resources. In this article, we compare Unacast venue data against a third-party ground truth to show you how well the algorithms work. We look at ground truth data for a variety of venues from stadiums to students and manufacturing.
A Point of Interest (POI) is a location that lots of people visit either routinely, seasonally, or based on certain events. A location can register as a POI in many different ways. The simplest way is to attract a lot of attention.
You are an analyst who recently joined a Real Estate Investment Firm and was tasked to evaluate whether opportunity zones in Miami were a good investment. You need always updated and reliable info -- but what is out there that can help you succeed?
Esri’s ArcGIS Marketplace now offers Unacast Migration Patterns dataset.
We compiled media coverage around Unacast's Houston migration white paper. Read excerpts from Reuters, the Houston Chronicle, and more.
Verto Analytics uses Unacast’s Turbine platform, along with its own behavioral data, to provide clients with strategic insights into customer journeys.
Fletcher Berryman, from dataPlor, discusses the unique challenges of helping multinational companies apply point of interest data in developing markets.