Products

The best retail data available
to understand local retail markets

IdealSpot delivers easy to understand reports, maps, and curated retail datasets that help our clients quickly answers their local retail questions and optimize their locations. We cleverly curate, mix, model, and visualize location data to provide the best insights into a local retail market. Our data inputs fall into one of two categories:

  • Our unique demand datasets geo-located down to the street level for over 500 products or services.  We calculate demand by observing and measuring active purchase intent within search terms and passive purchase interest in social media.  Our demand data is driven by WHO consumers are—their interests, wants, or their beliefs.  Not simply WHAT they are.
  • Industry standard datasets like demographics, psychographics, spending by retail category, movement of a local populace, and competitive landscape

Learn more about
the IdealSpot’s retail dataset

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Demand

IdealSpot’s unique geo-located demand dataset measures both active consumer Search Intent and passive consumer social interest.  Search intent allows you to understand what products and services consumers are looking for, and where.  For instance, if you are looking to expand your sports bar to another location, you can see how many people in a selected neighborhood recently searched for the nearest “Sports Bar”.  Social Interest captures expressions such as announcements, likes, shares, check-ins, Instagrams, and other social media signals.  Mapping a local population’s signaled social interest allows you to understand the wants, needs, and preferences of your customers. You can now look beyond simply what people look like (demographics) to discover who they are, and what they want to purchase.

  • Segmented into over 500 product or service categories
  • Granularity down to the street level
  • Updated Monthly

See example

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Demographics

IdealSpot provides best-in-class demographics data, curated from multiple sources, to provide the most robust picture of what the population around a location looks like.  Our data includes of population statistics, lifestyle analysis and segmentation, household statistics, income breakdown, and market risk.

  • Granularity down to the block level.
  • Historical data and trending updated quarterly
  • Collected and curated from the U.S. Census Bureau, American Community Survey, Federal Financial Institutions Examination, US Social Security, GfK Mediamark Research & Intelligence LLC

See example

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Psychographics

IdealSpot provides a snapshot of a neighborhood’s general “personality” by providing 72 neighborhood segments aggregated by lifestyle. Each neighborhood segment shares similar geo-demographic characteristics and behaviors among its residents, and is statistically different from other neighborhood segments.  We additionally provide 3rd party customer surveys.

  • Segmented down to the neighborhood
  • Updated annually
  • Sourced from Synergos LandScape, US Census Bureau raw data, and GfK Mediamark Research & Intelligence LLC
  • Sourced from Synergos LandScape and US Census Bureau raw data

See example

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Traffic

Traffic is key to a successful retail location; however, not all traffic is created equal. Commuters, lunch crowds, and weekend shoppers all consume products and services in different ways. You need traffic data that is accurate and detailed enough to identify different groups of customers so you can make decisions accordingly. IdealSpot’s traffic data Includes owned vehicles, rented vehicles, public transportation, pedestrian traffic, and bicycles.

  • Segmented by day-part, day of week, and average speed
  • Updated annually
  • Traffic data provided by our partner, INRIX

See example

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Workforce

Many market researchers and site selection tools overlook the working consumers and local companies which may impact your business.  By knowing a trade area’s workplace population, you will make smarter decisions that encompass all of your potential customers.  IdealSpot provides employee counts by retail category as well as employee salaries and wages.

  • Granularity to the block level
  • Updated quarterly
  • Labor statistics sourced from Synergos Workplace

See example

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Spending

The flow of money in a trade area is another piece of the puzzle to determine your ideal location or business.  IdealSpot provides household expenditure data for over 600 products and services segmented across demographics categories such as, income, age, and education.

  • Segmented by business categories such as: Restaurants, Retail, Business services, Fitness, Automotive, Government, Landmarks, Arts, Bars, Entertainment, Sports and recreation, Travel, Transportation
  • Updated Annually
  • Based on The U.S. Census Bureau data

See example

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Competitors

Your business does not operate in a silo; you must understand the competitors in and around your location if you want to thrive. IdealSpot provides all the data you need to understand the retail landscape and get business counts by retail category for your area of measurement.

  • Granularity to the block level
  • Updated quarterly

See example

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Commercial Real-estate Availability

Finding your ideal location is meaningless if no commercial real estate inventory exist. Our unique demand data, overlaid with commercial real estate availability and our understanding of the retail landscape, provides us with the “treasure map of retail” by retail category. No other platform has seamlessly brought together both demand and supply for retail.

  • Refreshed monthly
  • Listings and commercial data gathered from our technology partner Xceligent

See example

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IdealSpot Machine Learning (Beta)

Is there a market void for you to fill? We calculate and model the number of “available customers” by combining our unique knowledge of demand with the inherent interrelationships connecting all kinds of businesses. For example, a neighborhood with two dry cleaners and a pharmacy in Dallas, TX will usually have at least two grocery stores. If we see a Dallas neighborhood with one grocery store and high demand for groceries, we determine there are “available customers”.  We provide Market Void analysis of the most underserved retail categories and Market Gap by retail category. Machine learning modeling currently includes:

  • Market Gap Analysis (Market Opportunity by retail category)
  • Market Void analysis
  • Market Recommendations and Scoring by retail category
  • More coming soon…

See example

Coming Soon

Interested in becoming a beta tester for IdealSpot? Simply add your email to the list to be considered and help us evaluate bleeding edge retail or commercial real estate datasets, models, maps, or reports.


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