Whether your brand is in development or a national presence, our customized analytics modeling validates retail decisions using data science, leading to smarter location decisions.
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 (formerly known as CBRE Forum 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.
Unparalleled Intelligence & Technology
Our Retail Analytics platform provides the critical context, science-based insight and transparency you need to visualize and understand your portfolio through interactive technology solutions and proprietary datasets. From basic location maps to complex predictive modeling, we provide a range of solutions to inform your location strategy.Deep Holistic Approach
Using forecasting models, AI and a variety of analytic techniques, we provide multiple proof points for your analysis and offer full transparency into our models. We also include model refreshes and data updates to keep your system in “real-time.” Analytics can be complicated, so our dedicated support staff guides you every step of the way.Industries We Serve
Why CBRE Retail Analytics?
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Rooted in Genuine Expertise
We have the perspective, knowledge and scale to truly understand how data and analytics can drive critical business decisions. -
Time Tested & Proven
Since 2001, CBRE Retail Analytics has been the most trusted provider in this space, with an industry-leading client retention rate. -
Obsessed with Analytics
We use several forecasting models and techniques to provide multiple proof points for your analysis. -
Transparent
We believe in providing our customers full transparency into our models. -
Continuously Calibrating
We include model refreshes and data updates to keep your system in ”real-time.” -
Dedicated to Client Success
Analytics are complicated, so we hold your hand every step of the way with dedicated support staff. -
Top Talent
We only hire the best, invest in our people and ensure our clients work with top talent.
Contacts
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.We have had the good fortune of being partners with CBRE | Retail Analytics since 2014. Over that time, our needs have evolved from basic mapping to advanced geospatial analysis. The team at Retail has evolved along with us, supporting us when we know what we need and leading us when we are unsure. Our store growth over the last six years has been extraordinary and our partnership with Retail is a key component to that success.
Case Studies
School of RockMarket and territory optimization assist with franchise development. Read more.
Insights & Research
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Viewpoint | Creating Resilience
Navigating Retail Vitality: Making Smarter Real Estate Location Decisions in a Changing Retail Landscape
December 10, 2024
We analyzed retail store openings and closings to identify where retail clusters (any area that has at least five chain stores grouped together) are growing or shrinking and categorize them by vitality.
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Given all the available options and industry jargon surrounding data and analytics in real estate forecasting models, there can be confusion around machine learning and artificial intelligence. Machine learning is widely acknowledged as a form of artificial intelligence, but its overuse as a black-box approach in forecasting models can raise questions for real estate planners.
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In the Private Equity industry, making quick, instinct-based decisions is an expensive risk given the competition for quality brand partners. Fortunately, with data and analytics, today’s investors can make more informed decisions when considering acquiring or selling a brand, or exploring the potential of an existing portfolio.
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As retailers continue to search for new ways to evolve with the changing retail landscape, retail segmentation represents an innovative solution not to be overlooked. But what is it and how can it help a brand with site selection and performance forecasting?
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When a brand’s real estate team begins using analytics for site selection and sales forecasting, often one of the first questions asked revolves around the data used to build their
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To better uphold consumer privacy in our analytic practices, CBRE | Forum Analytics has implemented a randomization technique to protect customer address data used in our tools while still allowing for accuracy in our modeling and analytics.
Retail Analytics
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CBRE Consulting
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