June AI: Natural Language Product Analytics for SaaS
June AI turns plain English questions into instant product analytics for B2B SaaS teams, no SQL or dashboard-building required.
Overview
June AI is a product analytics platform built specifically for B2B SaaS companies that want answers, not just data. Instead of wrestling with complex dashboards or waiting on a data analyst, teams can simply ask a question in natural language and get an accurate, company-level answer in seconds. Behind the scenes, June AI generates the underlying SQL automatically, but still gives technical users the ability to view and tweak it for full transparency and control.
Beyond one-off queries, June AI automatically produces reports that track how companies actually use your product, covering the full lifecycle from acquisition and activation to active usage, retention, and churn. With zero-setup tracking and native integrations into tools like Segment, HubSpot, and Attio, it's designed to get B2B teams from raw data to actionable insight almost immediately, without heavy engineering lift.
June AI is particularly suited to companies where customer retention has real financial stakes, since surfacing power users and at-risk accounts early can directly protect revenue. It's less about vanity metrics and more about giving product managers, analysts, and customer success teams a shared, plain-English way to understand account-level behavior.
Capabilities & Features
- Product analytics
- B2B SaaS
- Natural language processing
- SQL
- Data analytics
- Company-level metrics
- Customer retention
- User behavior
- Data integration
- AI-powered analytics
Core Features
- Natural language querying for instant answers
- Auto-generated reports on company-level product usage
- Editable SQL behind every query for full transparency
- Zero-setup company-level metrics tracking
- Built-in tracking for acquisition, activation, retention, and churn
- Native integrations with Segment, HubSpot, and Attio
Use Cases
- Understanding how specific companies engage with your product
- Monitoring core metrics like acquisition, activation, and retention over time
- Spotting power users and accounts at risk of churning
- Generating usage reports after a new feature release
- Configuring alerts for company and audience activity changes
Best For
- Product managers
- Product analysts
- Customer success teams
- B2B SaaS companies with established ARR
Pros
- •Get answers to complex product questions without writing SQL from scratch
- •Company-level focus fits B2B usage patterns better than generic user analytics
- •Editable queries give technical users full control over accuracy
- •Native integrations reduce setup friction with existing data stacks
- •Automated reports save time on recurring retention and churn analysis
Cons
- •Pricing isn't published, requiring a sales conversation before evaluating cost
- •Best suited for companies at $1M+ ARR, limiting fit for early-stage startups
- •Value depends on having meaningful per-customer revenue, so low-ARPU products may not benefit as much
- •Setup fees can vary depending on implementation complexity
How to Use
Connect a data source such as Segment, an SDK, or another supported integration to feed product usage data into June AI. Once connected, type a question about your product in plain English, and June AI will generate an answer along with the SQL query used to produce it. You can inspect or edit that query for accuracy, then save it so you or your team can reuse it later without starting from scratch.
Frequently Asked Questions
Pricing
June AI uses a single custom 'All-in-one' plan with pricing available only by contacting sales, and it's generally positioned for B2B SaaS companies with at least $1M in ARR.
Pricing data is provided as a summary. Visit the vendor website for full tier details.