Dimension Labs

6.9easy start · #5 of 21
in Customer Success Analytics Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, self-hosted, Web. Paid plans from $999/mo.

Dimension Labs is ranked #5 of 21 in customer success analytics software on The Geeks Club. It runs on API, Self-hosted, Web. There is a free plan. Paid plans start at $999/mo.

Dimension Labs plans and pricing

All plans

Explore Free Free 1,000 records/mo · 1 data source · single-source AI Agent Q&A · CSV export · hard stop at 1,000 records dimensionlabs.io · 30 Sept 2026

Discover $999/mo Per Month; annual option $9,990/year, billed upfront 5,000 records/mo · 1 data source · unlimited intelligence reports · $0.15/record overage · Week 4 finding guarantee dimensionlabs.io · 30 Sept 2026

Prove $2,999/mo Per month; annual option $29,990/year, billed upfront 25,000 records/mo · up to 3 sources · causal findings with confidence intervals · warehouse export · $0.10/record overage dimensionlabs.io · 30 Sept 2026

Scale $6,999/mo Per month; annual option $69,990/year, billed upfront 100,000 records/mo · unlimited data sources · subgroup causal analysis · priority support SLA · $0.06/record overage dimensionlabs.io · 30 Sept 2026

Enterprise Not published Custom; starting at $150,000/year Unlimited records · unlimited sources · dedicated CSM · on-premise deployment option · HIPAA/GDPR alignment dimensionlabs.io · 30 Sept 2026

Compared on customer success analytics software

Free plan: Yes
Renewal risk analytics: Yes
Expansion analytics: Yes
Engagement analytics: Yes
Data source depth: multi-source

Best Dimension Labs alternatives

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Muntri 0 of 4 in the starter kit Lesson 17.7 CSI Pro 0 of 4 in the starter kit Lesson 27.5 Bruin for Customer Success 0 of 4 in the starter kit Lesson 37.3 AccountLens 0 of 4 in the starter kit Lesson 47.0 CSHUBB 0 of 4 in the starter kit Lesson 66.7 GainTrace 0 of 4 in the starter kit Lesson 76.7

The record

Purpose: Dimension Labs connects customer conversations to business metrics so users can investigate why metrics move.
Data types: It accepts conversational data such as call transcripts, chats, support tickets, surveys, CRM notes and emails, along with structured CRM, usage and financial data.
Analysis: Its AI agent answers questions in plain English and can produce evidence-backed reports, charts and causal findings.
Meaning Layer: The platform normalizes channels and enriches records with dimensions such as intent, sentiment, root cause and risk.
Governance: The platform describes source-record traceability, extraction logic and model-version lineage, plus version control and audit trails.
Integrations: The maker says its Universal API can connect conversational data sources and that integrations include one-click connections or API endpoints.
Warehouse and BI: Structured output can be exported to Snowflake, Databricks or BigQuery and used with BI tools including Tableau, Power BI and Hex.
Security: The maker lists SOC 2 and ISO 27001 compliance, GDPR and CCPA compliance, PII redaction, penetration testing and data deletion.
Deployment: The platform page lists cloud or on-prem deployment, and the Enterprise plan includes an on-premise deployment option.
Support: The pricing page lists email support on plans, with priority support SLA on Scale and a dedicated customer success manager on Enterprise.
Limits: Explore has a hard stop at 1,000 monthly records; paid Discover, Prove and Scale tiers bill additional records at their tier-specific overage rates.
Evaluation: The maker calls Explore its evaluation tier and says it does not offer a traditional free trial; qualifying enterprise deals can use paid POCs.
Intended users: The pricing page positions Enterprise for Fortune 500 and large enterprise organizations; the platform names Sales, CX and Support, Customer Success, Product, and Data and Analytics teams.
Headquarters: San Francisco, California, United States
Price from: $999/mo

Where it ranks on The Geeks Club

Best Customer Success Analytics Software in 2026#5 of 21

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Sources

dimensionlabs.io/platform· checked 30 Sept 2026
docs.dimensionlabs.io/reference/using-the-integration-guides· checked 30 Sept 2026
dimensionlabs.io/pricing· checked 30 Sept 2026
dimensionlabs.io· checked 28 Sept 2026