Solutions
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
Our standalone offerings support your portfolio — without the investment of a site selection system or a long-term commitment.

Private Equity Analysis
Making quick, instinct-based decisions in the Private Equity arena is an expensive risk given the competition for quality brand partners. CBRE | Forum’s 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 Analysis
ShopoGraphics, is a CBRE proprietary data-set which leverages machine-learning to create 41 unique retail segments. By identifying the segments brands currently locate in, we can 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.

Cannibalytics
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. Forum’s 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.
Methodology
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 will come through a combination of data, sources, and strategic consideration unique to each business.
ShopoGraphics, is a CBRE proprietary data-set which leverages machine-learning to create 41 unique retail segments. By identifying the segments brands currently locate in, we can 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.