Few decisions are more strategic and have longer-term financial and operational implications than a facility location decision. With the rise of reliance on consumer-centric technology, online shopping, and last mile delivery logistics, it has become even more critical to create and manage strategic site selection analytics prior to securing a brick-and-mortar retail location. It makes no difference if you are expanding, consolidating, or just monitoring market performance, location analytics is the first and most critical area of focus to avoid million-dollar mistakes in brick & mortar site selections.
DMM’s comprehensive dataset, when integrated into many different platforms, creates one of the most robust and streamlined vantage points into the assessment & impact of retail locations in relation to major shopping centers in the US & Canada.
Intuition & past performance can’t tell you where the next big opportunity is, but strategic analytics and understanding of how consumers behave around an existing or new site can.
Integrating DMM’s 365k+ retail locations and shopping center profiles generates the wealth of data to:
√ Pinpoint Locations, Density of Targets & Secondary customers.
√ Recognize Voids or Overlaps In Trade Areas.
√ Identify & Avoid Areas of Cannibalization.
√ Visualize Saturation of Target Customers in Relation to Forecasted Locations or Existing Competitors.
The ability to see the broader perspective of your business against the backdrop of existing competitors means actionable strategies can be implemented to drive greater returns on investments in brick & mortar locations.
As a platform agnostic source of major shopping center data, DMM’s repository of more than 17,300 centers and 365,000+ chain & non-chain stores joins seamlessly with external platforms and other metrics such as mobile observations, demographics & segmentation profiles.
√ Who Are My Target Consumers?
√ Where Else Can I Find My Target Consumers?
√ Are My Competitors Engaging With My Targets?
The fast-changing business landscape demands a shift away from relying solely on past approaches to decision-making. Traditional business intelligence that only maps sales by store is no longer enough. Companies now need more advanced analytical models to quickly spot the next major opportunity by factoring in current consumer behavior.
Combine your existing internal data with relevant external data sources to forecast how consumers might respond—or choose not to respond—to the opening of a new location.
√ Delineate target consumers within the trade area of the site being studied.
√ Review key customer behaviors for you & your competitors in retail stores or shopping centers.
√ Forecast & project sales potential & cannibalization.
√ Estimate market share captured for the retailers or shopping centers in a market.
Numerous Non-retail real estate focused platforms along with Research and Government entities have taken advantage of the DMM’s robust dataset of major shopping centers and tenants to integrate into their solutions, analysis, and case studies.
The nature of DMM integrations into other platforms creates powerful, informative solutions that stimulate growth and increase market share.
