Location Intelligence Analysis

Location Analytics is Transforming the Retail Business

Location analytics allows you to select a point or area of interest that, when related to different layers of data, generates rich and detailed information with which you can obtain insights of great value to make business decisions.

How does it Help the Areas of the Company?

Marketing

Where customers live and what they buy, their tastes and preferences, behavior patterns, preferred places.

Operations

Understand waiting times and dwell time at the points of sale, analyze movement flows within the stores.

 

Competition

Who are the customers of my competitors?

At what times do they register more visits?

What is their estimated revenue per store?

Strategy

Could I “cannibalize” my customers and current billing if I open more outlets?

How do the stores of different formats relate to each other?

What Decisions Can you Make with Location Analytics?

Site Selection

Identification and analysis of locations and areas suitable for expansion strategies and opening of new points of sale.

Market Target

Evaluation of purchasing potential by zones, neighborhoods and even streets, and analysis of competitors.

Location Analytics Uses and Applications

Footfall analytics: Costco Wholesale Vs. Sam’s Club

Big Data technological tools and spatial data play a very important role in business by measuring footfall and helping to understand consumer behavior patterns in any given area of interest or point of sale. Footfall analytics, location intelligence, and point-of-interest categorization have revolutionized the way the retail and wholesale industries implement the expansion, commercial and operational strategies in the franchised warehouse clubs. […]

Location analytics: Starbucks Coffee Vs. Dunkin’ Donuts

Coffee shop owners need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models. The correlation between foot traffic visitation, sales, and the success of coffee shops franchises have been studied and proven, so the development of this type of […]

POI Analytics: Uses and Applications

POI analytics has become a vital business intelligence process for any company, since, by aggregating multiple data layers, a much more representative view of customer behavior patterns at a point of interest is generated. POI analytics allows you to select a point or area of interest that, when related to different data layers, allows businesses to generate enriched […]

Another Examples of Use:

Characterize and understand consumer behavior within a point of sale.

Location Analytics Within a Store

Analysis of the concentration and mobility of people within the stores to optimize their operational design.

Understanding the movement of people within the store provides valuable insights about the specific areas where people concentrate, where the waiting times are longer, among others.

The analysis can be segmented by hours and days of the week.

Comparisons can be made over time to monitor changes:

• Of specific seasons or days.

• In the design of the establishment.

Step-by-Step Tracking

Knowledge of the routes followed by users: step-by-step tracking within the store, to understand their behavior patterns.

Comparative Analysis Between Stores

  • Evaluation of movement patterns between stores of the same format and between different stores.
  • Comparative analyses are useful for the development of both internal and competitive benchmarks.
  • The data allows the creation of performance indicators, both in visitation and in the use of space, and improvement in the mobility of people.

Location Analytics in Parking Lots

  • It facilitates the planning of changes in the routes and helps to optimize the use of the space.
  • Solutions for the understanding of traffic dispersion and use of street segments.

Analysis of mobility around a given point of sale or area:

Understand the behavior of people in any given area.

  • Where do visitors come from?

  • How far do they travel to visit the store?

  • Do they live near the store?

  • Do they work near the store?

  • What is the income level of the visitors of the store?

  • How often do they visit each store?

  • Do they visit the competitor’s stores?

Other Examples of Uses and Applications in Retail

  • Comparative analysis between points of sale
  • Analysis of the immediate surroundings of a point of sale
  • Floating and Resident Population Maps
  • Sales forecasting models
  • Maps of Income Level and interests of the population
  • Population Heat Maps
  • Vehicle density and concentration maps
  • Pedestrian influx model at points of sale
  • Index of suitability of areas for new points of sale

Do you Want to Know how these Solutions Help your Business?

Schedule a 30-minute meeting with our experts to understand how you can use spatial analysis in your organization.

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