Use Cases

Better Commercial Real Estate Data for All

IdealSpot helps everyone in commercial real estate understand their local retail markets better through the use of superior data and insights. 

For instance, what are the wants, needs, and signaled purchase intent of a local populace. 

By mixing datasets like signaled purchase intent, identity, traffic, competitive landscape, and commercial real estate availability, IdealSpot is able to help anyone that is either directly or indirectly affected by the continual shifts and changes in commercial real estate. 

Over the past three years, IdealSpot has provided data and insights to a number of verticals and industries to better understand and react to their local markets, including, showing retailers when and where there is unfulfilled demand to help them in selection or site optimization, providing developer/owners their ideal tenant mix, giving brokers their most actionable sales narrative, even helping last-mile delivery and supply chain services for retail. 

On a daily basis, we are witnessing more and more examples of how better retail data is empowering more than just the direct retailers themselves to make better decisions. A dollar spent at a physical location trickles down to many tangential businesses and services and we are helping them all. 

Select one of the use cases below to see how IdealSpot data and insights helped them.

Select a vertical:

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Retail

Our classic and highest demand use case. Retailers, restaurateurs, and services providers create IdealSpot reports and maps – using our existing templates or by building custom templates – to help them determine the optimal location(s) to grow their business and to perform competitive analysis. These use cases center around IdealSpot’s unique demand data that is gathered and analyzed from implied interest in social media and stated intent in online searches. For instance, if you are Pluckers and looking to expand your sports bar to another location in your city, you can see how many people in a selected neighborhood recently searched for the nearest “Sports Bar” or were discussing their interest in sports bars with friends.

Case studies:

SITE SELECTION IS MEDIEVAL The Moneyball Approach

The Problem Everyone in business who works with data to gain an edge in their respective marketplaces likes to fancy themselves a “water diviner” akin to Michael Lewis’ protagonists in…

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Case Study: Birds Barbershop

Trying to find where to place the next retail location that matches their target audience of hipster millennial in a new city. 

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Case Study: Legends Express Car Wash

Aggregating multiple datasets into a single, easy-to-read report to make the decision process easier.

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Case Study: Massage Envy

Using better data to audit existing retail locations and to expand to new areas.

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Case Study: Pluckers Wing Bar

How IdealSpot helped Pluckers grow in new and unfamiliar markets.

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Location Optimization

Another way to grow. Sometimes the most critical need is not a new location, but to improve performance of existing locations. IdealSpot’s demand data provides businesses a lens into the needs and desires of the local populace and workforce. By understanding what a local populace wants, businesses are able to better serve their customers and increase sales. For example, by understanding what genres / types of movies people in the area want to see, Alamo Drafthouse can better determine the right mix of movies to show on their screens, resulting in happier moviegoers and increased ticket sales. Or a grocery store such as Publix can more effectively plan their merchandise mix by location according to the shopper’s demand in that specific area.

Case studies:

Location Analysis – Picking the Best Hands

Reading Time: 90 seconds The Problem Winning at poker requires discipline and strategy.  Making the correctly sized bet for the cards that you are dealt.  The best poker players in…

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Case Study: Boston’s Restaurant & Sports Bar

How Search Engine Data Helped a Sports Bar Find New Customers

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Ideal Tenant Mix

This is our second-half of the “Every Business Has an Ideal Location, and Every Location Has an Ideal Business” mission. IdealSpot combines geo-located customer demand and industry standard datasets like demographics and traffic, with current market availability data to provide commercial real estate developers and landlords insight into which businesses would excel best in their space. For instance, for a given shopping mall address, let’s say there were 100,000 searches for yoga over the last 30 days within a 15 minute drive time, but no yoga studios—obviously the landlord should immediately reach out to Core Power Yoga and let them sign a lease.

Case studies:

Case Study: Rucker Properties

Uncovering the highest and best use of a new commercial real estate parcel.

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Brokerage

Supply and demand. IdealSpot is the first commercial real estate data platform to combine supply and demand. The signaled purchase intent data we collect and analyze, combined with data on current real estate market availability, provides all the information that brokers need to optimize and close deals.

Case studies:

Case Study: Rucker Properties

Uncovering the highest and best use of a new commercial real estate parcel.

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Case Study: Newmark Knight Frank

How to stand out from other commercial real estate development firms through the use of unique datasets like consumer interest and purchase intent.

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Distribution

One of the main drivers of the realignment occurring in retail is a shift in how consumers purchase and receive goods. A winning strategy not only includes optimization of retail locations, but also optimization of distribution channels and inventory warehousing. To compete with massive ecommerce sites, retailers need to know what products need to be where – before the consumer even purchases them. IdealSpot’s demand data solves this puzzle, allowing retailers to warehouse products where demand is – all the way down to the last mile.

Case studies: