CBRE Retail Analytics (formerly known as CBRE Forum Analytics)

Validate Your Instincts with Location Intelligence

Founded by a data scientist with deep retail experience and powered by the leader in commercial real estate, CBRE Retail Analytics has the perspective, knowledge and scale to truly understand how data and analytics can drive your location decision making.

From ghost kitchens to clicks-to-bricks, our customized technology platform and analytic modeling validates your instinct using data science. We help you understand revenue drivers, predict performance and take a proactive approach to market planning and site selection. Bring your questions to us. We are here to help.

There’s a lot at stake in choosing a new location for your brand. That’s why you need data science to validate your instincts. Whether your brand is in the early stages of development or has a nationwide presence, our analytic solutions are tailored to suit your growth strategy. From simple demographics to a predictive platform driven by machine learning, retail brands of all sizes trust our real estate planning solutions.

Portfolio Solutions

Our fully customized mapping and reporting system provides an easy-to-use, interactive platform for growing brands to analyze and manage portfolios and development.

For additional insights, the Market Optimization Engine adds analysis that evaluates and prioritizes markets across the U.S. to produce a strategic roadmap for market planning and resource allocation.

Our Peer Comparison Engine weighs similar existing markets and analog units against potential sites. This analysis provides multi-factor scoring to aid sales estimation and takes your real estate planning options to the next level.

For established brands with at least 50 units, we provide Predictive Modeling to determine the unique factors that directly correlate to your existing units’ performance which can be used to predict how new units may perform. We use a variety of modeling techniques, including machine learning and predictive, and provide full transparency into the modeling engines and how we derive our insights. This visibility provides the critical information you need for successful real estate application.

Standalone Solutions

Making quick, instinct-based decisions in the Private Equity arena is an expensive risk given the competition for quality brand partners. Our White Space Opportunity Report uses our exclusive algorithm to produce an optimized development blueprint that identifies and scores hypothetical opportunities for growth. Reporting includes relevant benchmark, market and competitive index data, along with scoring engine results for further internal analysis and distribution—giving investors actionable intelligence to make data-driven portfolio decisions.

ShopoGraphics™ is a CBRE proprietary dataset that leverages machine learning to create 47 unique retail segments. By identifying the segments brands currently locate in, we help clients understand their most successful co-location profiles and identify new opportunities for expansion. The results can be integrated into a mapping platform or conducted as an independent analytical study. Learn more.

With our time-series cannibalization exercise we conduct a comprehensive review of your historic monthly sales data to identify patterns of unit to unit impact. Our unique modeling framework helps you identify the multitude of factors that impact the rate at which your existing units cannibalize surrounding ones. Cannibalytics can be conducted as a study independent of a technology platform.

Market Optimization

Our Market Optimization is the development of a data-driven national growth plan that helps maximize revenue from each new unit opened and minimize impact on surrounding existing units. This national development blueprint for strategic growth prioritizes markets and trade areas according to sales volume potential, so you can target the best locations for your brand.

Sales and Performance Forecasting

Forecasting models are built to validate your instincts and provide results that tip the scales of success in your favor. Retail’s sales and performance forecasting solutions will identify the variables that drive your top performers so you can make data-driven site selection decisions to determine the sites with the highest potential for success and avoid under-performers. Our total solution transparency allows you complete visibility and control of your modeling engine and interactive Excel reports.  

White Space Analysis

White Space Analysis allows you to evaluate current assets, identify best customers and prioritize potential growth for a portfolio company or acquisition opportunity. Retail Analytics provides a national development blueprint to score hypothetical real estate opportunities for future growth potential to help maximize revenue from each new unit opened and minimize impact on surrounding existing units.

Network Performance Scorecard

Our network analysis provides the insights you need to make the right decisions about your current portfolio of units. Our existing unit “scorecard” assesses the health and performance of your existing units to assist in making critical business decisions going forward.

Trade Area Analysis

We define primary consumer-driven, residential-based capture areas for all units and create an objective basis by which to compare units to each other. No single data source or methodology is sufficient or “best.” The best trade areas for existing units come through a combination of data, sources and strategic consideration unique to each business.

Omnichannel Distribution Optimization

Our proprietary market optimization algorithm allows infinite combinations to consider your complex, omnichannel concerns. Whether you are balancing the needs of corporate and franchise interests or managing the complex demands of consumers through multiple distribution channels, we can help you analyze your business across channels.