# Landbase vs Spatial.ai

Landbase records 76,178 monthly visits with +32.5% month-over-month growth and Paid (usage-based credits) pricing. Spatial.ai records 7,304 monthly visits with -32.1% growth and Paid pricing.

| Metric | [Landbase](https://openaitools.app/tool/landbase) | [Spatial.ai](https://openaitools.app/tool/spatial) |
| :--- | :--- | :--- |
| Website URL | https://www.landbase.com | https://www.spatial.ai |
| Categories | AI Lead Generation, AI Cold Calling, AI Email Generator, AI Email Marketing | AI Marketing, AI Digital Marketing, AI Advertising, AI Real Estate |
| Pricing Model | Paid (usage-based credits) | Paid |
| Monthly Visits | 76,178 | 7,304 |
| MoM Growth Rate | +32.5% | -32.1% |
| Primary Market | United States | United States |
| Direct Visits | 19,155 | 2,895 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## Landbase

Landbase targets revenue operations, sales, marketing and growth teams that need to define and reach a market without stitching together several data and enrichment vendors. Its database covers 300M+ contacts with more than 1,500 enrichment fields, and the platform layers on targeting, qualification and enrichment as three connected steps: map the addressable market, keep only accounts matching exact ICP criteria, then enrich contacts with verified emails and mobile numbers.

Its differentiator is agentic search over live signals. A prompt such as 'find US SaaS companies with $10M–50M ARR using Salesforce and HubSpot, with 50+ engineers' is executed in seconds, along with filters for tech stack changes, recent job postings, funding events and pipeline exclusion. Lookalike modeling finds companies similar to past closed-won accounts, AI qualification scores and verifies accounts automatically, and AI agents gather harder-to-source market insights. The pricing model is deliberately usage-based: pay per verified result, with unverified misses costing nothing.

Landbase also ships a CLI designed to be pasted into coding agents like Claude Code or Codex, so GTM data work can happen inside the AI tool a team already uses. It has been recognised as a Gartner Cool Vendor and has raised a $30M Series A, and it publishes research such as GTMBench and maintains a developer doc center and an education hub called Landbase University.

**Pricing & Plans:** Usage-based credits with a free entry point. New accounts get 1,000 credits (or $49 of free credits) with no credit card required. Paid bundles start at $499/month for 15,000 credits, $1,999/month for 75,000 credits and $4,999/month for 200,000 credits, with enterprise rates on request. Searches and lookalike expansion are free, email enrichment costs 1 credit (~$0.033) and phone enrichment 10 credits (~$0.33); unverified results are never charged.

- **Agentic natural-language search:** Describe your ideal account profile in plain English and get a verified, exportable audience back in seconds, including complex boolean and department-level headcount filters.
- **300M+ contact B2B database:** Access a large, continuously refreshed contact graph with 1,500+ enrichment fields spanning firmographics, technographics, hiring, funding and more.
- **Real-time buying signals:** Track tech stack changes, job postings, funding events and other intent signals to prioritise accounts showing active buyer interest.
- **Lookalike modeling:** Find companies that resemble your best closed-won customers, with pipeline exclusion so you never re-target accounts already in play.
- **AI qualification and enrichment:** Automatically verify, score and enrich accounts, routing through 20+ data providers so you only pay for results that check out.

**Strengths:** Natural-language agentic search replaces multi-step list building; Large 300M+ contact database with 1,500+ enrichment fields; Pay-per-verified-result pricing means unverified misses are free; CLI and MCP-style agent integration fit modern AI workflows

**Limitations:** Credit bundles are priced for teams, so solo users may find entry costs high; Requires learning prompt-based workflows rather than familiar filter UIs; Phone enrichment credits are relatively expensive per verified number

[Profile (Markdown)](https://openaitools.app/tool/landbase.md)

## Spatial.ai

Spatial.ai starts from a simple premise: two consumers with identical demographics can behave completely differently, so demographics alone are a weak basis for retail marketing and site selection. Its PersonaLive system classifies every U.S. household into 17 high-level groups and 80 behavioral segments derived from four dimensions of observed behavior — demographics, social media activity, mobile movement data, and credit card transactions. The company reports that this multi-source approach improves retail behavior prediction by an average of 17% and produces campaigns that perform up to 50% better.

The workflow runs in three steps. First, marketers identify their top segments in minutes by uploading CRM contact lists to see which segments are most valuable, or by uploading a visitation report — or simply drawing a polygon — to see which segments visit a location most. Second, they position the brand strategically using consumer spend data: comparing market share against competitors by segment and tracking how much each segment spends on different brands over time. Third, they build tailored multi-channel campaigns by viewing detailed segment portraits, personalizing ad imagery and copy, and exporting audiences to Meta, TikTok, Google, Snapchat, X, programmatic platforms, and direct mail.

Alongside PersonaLive, Spatial.ai offers Proximity for segmenting neighborhoods by social media behaviors and FollowGraph for quantifying consumer social interest at a geographic level. Typical applications include site selection, digital marketing, credit card market share analysis, and retention and expansion programs. The platform is used by more than 750 retailers, e-commerce brands, and agencies, and case studies cite clients including Colliers, HIFI Agency, AAA, SeaQuest, and Goodwill. Data is permissioned, anonymized, and aggregated, so the system describes behaviorally similar groups rather than identifying individuals.

**Pricing & Plans:** Paid subscription with three published tiers on monthly or annual billing. The Analyst is $500/month (or $425/month billed annually), The Media Buyer is $800/month (or $700/month annually), and The Strategist is $1,500/month (or $1,350/month annually). Contacts and locations are billed separately at the greater of the two counts, from $0 up to $500/month at unlimited scale. Each plan includes up to 5 users.

- **PersonaLive behavioral segments:** Every U.S. household is classified into 17 high-level groups and 80 behavioral segments built from demographics, social media activity, mobile movement data, and credit card transactions.
- **Segment your own data fast:** Upload CRM contact lists or a store visitation report, or draw a polygon, to see which segments drive the most value or visit a location most — typically in minutes.
- **Market share and spend analysis:** Compare your brand against competitors by segment and track how much each segment spends on different brands over time, using insights from 100M+ credit card transactions.
- **Cross-channel audience activation:** Export top segments for targeting across Meta, TikTok, Google, Snapchat, X, programmatic platforms, and direct mail, or enrich your CRM with demographic and segment codes.
- **Segment portraits and creative guidance:** Detailed segment portraits reveal which brands customers visit, who they follow on social, the best channels to reach them, and key demographic traits to guide ad imagery and copy.

**Strengths:** Behavioral segmentation combining social, mobile, and transaction data adds context that demographics alone miss; Self-serve segmentation from CRM files or visitation data delivers answers within minutes; Audiences export to every major ad channel plus direct mail from one platform; Transparent published pricing with 90-day opt-out and multiple case studies from real brands

**Limitations:** Coverage is limited to U.S. households, so non-U.S. brands are not served; Plans start at $500/month and contacts or locations are billed separately, which is steep for small retailers; Advanced competitive spend analysis requires the top Strategist tier

[Profile (Markdown)](https://openaitools.app/tool/spatial.md)

## Frequently Asked Questions

### How do Landbase and Spatial.ai compare in monthly traffic?

Landbase has 76,178 monthly visits, while Spatial.ai has 7,304. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Landbase has a month-over-month growth rate of +32.5%; Spatial.ai has -32.1%.

### How does pricing compare?

Landbase: Paid (usage-based credits). Usage-based credits with a free entry point. New accounts get 1,000 credits (or $49 of free credits) with no credit card required. Paid bundles start at $499/month for 15,000 credits, $1,999/month for 75,000 credits and $4,999/month for 200,000 credits, with enterprise rates on request. Searches and lookalike expansion are free, email enrichment costs 1 credit (~$0.033) and phone enrichment 10 credits (~$0.33); unverified results are never charged. Spatial.ai: Paid. Paid subscription with three published tiers on monthly or annual billing. The Analyst is $500/month (or $425/month billed annually), The Media Buyer is $800/month (or $700/month annually), and The Strategist is $1,500/month (or $1,350/month annually). Contacts and locations are billed separately at the greater of the two counts, from $0 up to $500/month at unlimited scale. Each plan includes up to 5 users.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 2 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 3 | [Smartlead](https://openaitools.app/tool/smartlead-ai) | 952,377 | +4.3% | Free Trial, Paid | AI-native cold email platform for scaling outbound without limits | [.md](https://openaitools.app/tool/smartlead-ai.md) |
| 4 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 5 | [MailTester.Ninja](https://openaitools.app/tool/mailtester-ninja) | 452,787 | -10% | Freemium | Real-time email verification and email finding that never stores your data | [.md](https://openaitools.app/tool/mailtester-ninja.md) |
| 6 | [Reply.io](https://openaitools.app/tool/reply-io) | 193,261 | -1.7% | Free Trial, Paid, Contact for Pricing | AI sales engagement and cold email outreach on autopilot | [.md](https://openaitools.app/tool/reply-io.md) |
| 7 | [AirROI](https://openaitools.app/tool/airroi) | 96,339 | -7.3% | Freemium | Free Airbnb analytics, STR revenue estimates and AI dynamic pricing | [.md](https://openaitools.app/tool/airroi.md) |
| 8 | [AI Ark](https://openaitools.app/tool/ai-ark) | 90,788 | -30.7% | Freemium, Contact for Pricing | AI-powered B2B data platform for finding verified contacts, companies, and lookalike audiences | [.md](https://openaitools.app/tool/ai-ark.md) |
| 9 | [Enginy](https://openaitools.app/tool/enginy) | 68,199 | +3.8% | Contact for Pricing | Your all-in-one AI sales edge for smarter B2B outreach | [.md](https://openaitools.app/tool/enginy.md) |
| 10 | [Delve AI](https://openaitools.app/tool/delve) | 49,025 | -4.6% | Freemium | Generate data-backed personas, digital twins and synthetic research on demand | [.md](https://openaitools.app/tool/delve.md) |

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Source: https://openaitools.app/compare/landbase-vs-spatial

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)