Near SPAC Presentation Deck
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How do our Customers use Near?
One of the largest global commercial real estate companies.
Before
Relied on archaic methodologies for footfall
analysis and competitor intelligence
• Datasets were static over time
Limited ability to wrangle data constrained the
insights that could be derived
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Outcome¹
10%
Expected increase in rental revenues
on average for property owners
www.near.com
After near
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Deployed Near's product to understand human mobility across their and competing
properties
Use cases expanded to trade area analysis, cross shopping behavior analysis, revenue
cannibalization forecast, site development analysis and tenant acquisition
Results were achieved through the software without them having to invest heavily in
building their own data science/analytics capabilities
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Countries where data is used
to provide value to customers
Notes:
(1) Outcome metrics based on customer feedback gathered during annual client review meetings and Near internal data
<-0))
800K+
Places analyzed
across 3 continents
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