Proximity logomark.

Quantify the social characteristics of areas

Combine trade area demographics with social behaviors in close proximity to reveal previously hidden location characteristics that drive business success.

Proximity segments.
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Data overview

Improve location decisions by knowing what areas are really like

The Proximity dataset classifies neighborhoods by their social media behaviors. Sources include geotagged posts from Instagram, Twitter, and Facebook.

72

Unique segments

52M

Social users

14.8M

Data points

92%

Block groups

Sample data

Data for Nashville, TN and surrounding areas.

210039201001
68.51
16.96
06.83
33.81
35.79
33.88
210039201002
27.14
39.48
29.26
83.11
86.31
40.10
210039201003
39.09
26.18
37.24
65.54
88.75
33.55
210039202001
87.55
62.47
99.21
00.25
96.41
91.34
210039203001
00.40
10.49
00.06
74.03
00.79
07.95
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New resource

Customer Segmentation Toolkit

Learn how to build an effective customer segmentation to center your team on your #1 asset: your customers.

Customer segmentation toolkit.
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Platform

Explore each segment in detail with insight-rich data visualizations

The Proximity taxonomy brings each segment to life with beautiful imagery and insight-rich data visualizations. Get ready to explore a whole new world of social insights.

Explore Segments
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How it works

From geotagged posts to geographic insights

Creation

People geotag posts about what they are doing or experiencing in a location.

Collection

We clean posts and aggregate at the block group level to analyze text and hashtags.

Categorization

Using machine learning, we cluster mathematically related words into segments.

Classification

We score block groups as percentiles (0 to 100th) vs the national average (50th).

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Case studies

Deeper insights for higher ROI

7.5x return on investment
3.75x
higher click through rate
7.5x return on investment
50%
of the cost of baseline audience
“We’re using the customer information from [Spatial.ai] to create more relevant ads for our actionable guest segments. For less money — or for the same amount of money — we’re achieving higher click-through rates.”
David Ponce.
David Ponce
Chief Marketing Officer, Wings Etc.
7.5x return on investment
14%
higher open rate
7.5x return on investment
50%
higher click through rate
"These learnings were huge in terms of how we go to market with insurance at AAA. We ventured to guess that the [PersonaLive-driven] creative would outperform the generic and it did."
Brittany Freudinger
Marketing Manager, AAA

Discover the consumer and location insights you need to grow

Schedule a free, personalized demo to see the data in action.