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June

data-analysis
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AI product analytics platform for B2B SaaS that auto-generates company-level insights, churn signals, and user behavior reports without manual SQL queries.

June is an AI-powered product analytics tool built specifically for B2B SaaS companies that need to understand behavior at the company account level rather than individual user level. Where tools like Mixpanel and Amplitude track individual events, June groups activity by company, surfaces which accounts are active versus at-risk, and generates plain-English summaries of product engagement trends without requiring analysts to write SQL or build custom dashboards. The AI layer identifies expansion and churn signals from usage patterns, flags accounts that have gone quiet, and delivers weekly digest reports to Slack so product and customer success teams see the insights without logging in. June integrates with Segment, Rudderstack, and direct SDK installation. Founded in 2021 in San Francisco, June raised $15 million in 2022. Pricing starts at $149 per month with a free tier for early-stage companies.

#product-analytics
#b2b
#saas
#data-analysis
#user-behavior
Freemium

Free plan available

Update Tool
june.so
Freemium
Pricing Model
Data & Analytics
Category
2021
Since
Free Plan
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Key Features

  • Company-level analytics that groups individual user events by account so B2B teams see product usage by customer, not just by user
  • AI churn and expansion signals that flag accounts showing disengagement patterns or increased usage before CSM teams notice manually
  • Automated weekly digest delivered to Slack summarizing product engagement changes across accounts without requiring a dashboard login
  • Pre-built B2B report templates including active companies, new activation, feature adoption, and retention cohorts out of the box
  • Segment and Rudderstack integration that pulls in existing event data without re-instrumenting the product from scratch
  • CRM sync with HubSpot and Salesforce that links product usage data to account records for revenue-qualified lead scoring

Use Cases

  • B2B SaaS founders and product managers who need to understand which customer accounts are actually engaging with the product each week
  • Customer success teams monitoring account health who want automatic churn risk alerts before a quarterly business review catches the problem
  • Product teams measuring feature adoption across enterprise customers who need account-level rollup rather than individual user cohorts
  • Revenue teams building product-led growth motions who need to identify PQL accounts based on usage threshold signals from the product

Pros

  • Account-level analytics is the correct mental model for B2B SaaS - individual event counts are almost meaningless without company grouping
  • AI-generated plain-English summaries and Slack digests mean non-technical stakeholders get the insights without learning the analytics tool
  • Pre-built B2B report templates deliver immediate value on day one without requiring analysts to build dashboards from scratch

Cons

  • Free tier covers only a small number of monthly tracked users - fast-growing startups hit the paid tier threshold quickly
  • Narrowly focused on B2B SaaS company-level analysis - not useful for B2C products, marketplaces, or mobile apps where account hierarchy does not apply
  • CRM sync and advanced integrations are gated behind higher plan tiers, reducing the value for early-stage teams on the free plan

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