Spatial.ai

Retail segmentation powered by behavioral intelligence

An intelligent retail segmentation platform unifying social, mobile, web, and credit card data to identify high-value customers, optimize site selection, and power precise, fast multi-channel campaigns.

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مقدمة

What is Spatial.ai?

Spatial.ai is an intelligent segmentation platform built exclusively for retail marketers. It moves far beyond basic demographics by analyzing four integrated dimensions of real-world behavior: demographics, social media activity, anonymized mobile movement patterns, and credit card transaction data. This approach classifies every U.S. household into 17 foundational groups and 80 granular behavioral segments through its flagship product PersonaLive. The platform enables retailers to discover who their most valuable customers truly are—not just who they appear to be—and act on those insights instantly across location strategy, marketing activation, and competitive analysis. Designed for speed and practicality, Spatial.ai delivers comprehensive, actionable customer intelligence in under 30 minutes, helping brands make confident decisions about where to expand, whom to target, and how to retain and grow market share.

Main Features

PersonaLive behavioral segmentation engine using four data dimensions—demographics, social activity, mobile visitation, and credit card spend

Proximity segmentation to analyze neighborhoods based on aggregated social media behaviors

FollowGraph technology quantifying geographic-level consumer social interest

CRM append functionality to enrich contact lists with segment codes and demographic attributes

Trade area mapping and store visitation analysis via polygon drawing or visitation report uploads

Competitor market share benchmarking using over 100 million anonymized credit card transactions

Multi-channel audience activation with direct exports to Meta, TikTok, Google, Snapchat, X, programmatic platforms, and direct mail

LTV cohort analysis and longitudinal tracking of segment-specific spending behavior

Real-time segment ranking and rich behavioral portraits to guide campaign creative and channel strategy

Use Cases

Site selection and expansion planning using predictive neighborhood demand signals derived from behavioral clusters

Digital marketing personalization by targeting audiences with shared affinities across social, mobile, and purchase behaviors

Credit card market share analysis to measure and compare brand performance against competitors

Customer retention and expansion through identification and re-engagement of high-LTV behavioral segments

Retail campaign creative development informed by segment-specific interests, habits, and preferred channels

Competitive intelligence gathering to detect overlap with competitor customers and uncover untapped market whitespace

Direct mail optimization by aligning physical outreach with verified, behaviorally homogenous geographic clusters

Location-based attribution modeling linking offline foot traffic to digital campaign exposure and conversion outcomes

Pricing Plans

The Analyst plan: $500/month or $425/month billed annually — includes CRM appending, segment ranking, trade area mapping, behavioral portraits, and support for up to 5 users

The Media Buyer plan: $800/month or $700/month billed annually — adds unlimited social audiences, programmatic targeting capabilities, and advanced segment contact enrichment

The Strategist plan: $1,500/month or $1,350/month billed annually — includes credit card spending insights, competitor market share tracking, LTV cohort analysis, and deep competitive intelligence tools

All plans scale based on contacts or locations (whichever is greater), with entry-level tiers starting at 100,000 contacts / 50 locations ($0) and progressing to Unlimited contacts and locations ($500/month)

No free tier; all paid plans include a 90-day satisfaction guarantee allowing opt-out

Frequently Asked Questions

Q: Are people really more than demographics?

A: Yes — identical demographics often mask vastly different behaviors. PersonaLive’s four-dimensional model increases retail behavior prediction accuracy by 17% and lifts campaign performance up to 50%.

Q: Where does the data come from?

A: Permissioned, anonymized, and aggregated data from mobile location providers, credit card processors, census/demographic sources, and public social media profiles — never individual-level PII.

Q: How can PersonaLive help me?

A: It reveals unique, actionable customer insights others miss — enabling smarter site selection, higher-performing campaigns, and stronger competitive positioning — all within an intuitive platform.

Q: What does 'Append, Analyze, Activate' mean?

A: Append segments to store locations or CRM files; Analyze top segments, LTV, and market share; Activate across digital, social, and offline channels with export-ready audiences.

Pros and Cons

Pros:

- Uniquely integrates mobile, social, web, and credit card data for holistic, behavior-first segmentation

- Delivers strategic insights in under 30 minutes — significantly faster and more convenient than legacy systems

- Purpose-built for core retail challenges including site selection, competitive share tracking, and campaign ROI

- Offers powerful, automated mu

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