June AI

Product analytics for B2B SaaS with an AI assistant for ad-hoc questions

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Screenshot of June AI, Product analytics for B2B SaaS with an AI assistant for ad-hoc questions

What is June AI?

June AI is a question answering tool. June is product analytics for B2B SaaS, with a June AI assistant that answers ad-hoc product questions in natural language and lets anyone save useful queries so the whole team can reuse them.

June is a product analytics tool built for B2B SaaS companies rather than for consumer apps. Its core pitch is that a team should not need to build a reporting stack from scratch: June connects to a data source, turns product events into reports that emphasize how companies use the product, and keeps those reports readable for people outside the data team. It has been recognized by Product Hunt (Golden Kitty winner in 2022 for Data and Analytics), described as the fastest growing app on Twilio Segment in 2022, and rated 4.9 out of 5 on G2. June AI is the part of the product that answers questions in natural language. When someone has an ad-hoc question and needs a quick answer, the AI is presented as an alternative to queuing work with a data analyst. Answers can be turned into saved queries, so an insight one person found useful becomes something the whole team can find and reuse later. In day-to-day use that means a product manager can check a specific behavior without writing SQL, and a growth lead can point colleagues at a saved view instead of re-explaining a funnel. The tool fits SaaS teams that already collect product event data and want analysis to be shareable across product, growth and leadership. Setup is a matter of connecting a data source and sending events; June documents the process on its own docs site. Salesforce, HubSpot and Attio integrations cover the CRM side, and June also offers adjacent pieces such as a feature report, a qualification bot and an iOS widget. Compared with established product analytics suites, June positions itself as the lighter, faster route for early and mid-stage B2B SaaS. Head-to-head pages against Amplitude and Mixpanel make that positioning explicit, and the published benchmarks and customer stories give buyers material to compare. Teams with complex, heavily customized analytics needs may still want a broader platform, but for SaaS companies that want quick answers and shared saved queries, June is aimed squarely at that job.

How do you use June AI?

  1. 1Review the product and competitor comparisons
    Start on the June homepage to see the AI question answering, saved queries and reporting sections. Read the June vs Amplitude and June vs Mixpanel pages to check how the tool maps to your current analytics setup.
    June AI — Review the product and competitor comparisons
  2. 2Connect your data source
    Follow the documented setup to start sending product events to June. The docs cover how to connect a data source and see your metrics once data arrives.
    June AI — Connect your data source
  3. 3Link your CRM
    Add the Salesforce, HubSpot or Attio integration so account and company context sits alongside product usage. This is what makes B2B reporting on company-level behavior possible.
    June AI — Link your CRM
  4. 4Ask June AI an ad-hoc question
    Once signed in, put a specific product question to June AI and review the answer it returns. This replaces waiting on an analyst for one-off questions.
  5. 5Save and share the query
    Save the queries that produced useful answers so teammates can discover the same insights later instead of rebuilding the analysis.

Pros and cons

Pros

  • AI question answering targets the ad-hoc requests that normally wait in a data analyst queueAI
  • Saved queries let anyone on the team preserve and rediscover useful insightsAI
  • Purpose-built for B2B SaaS reporting on how companies use the productAI
  • Documented setup path for connecting a data source and sending eventsAI
  • Public comparison pages against Amplitude and Mixpanel make evaluation easierAI

Cons

  • Public pricing detail is not stated on the homepage, so budgeting requires a separate conversationAI
  • Value depends on having product event data already instrumented and flowingAI
  • AI answers on ad-hoc questions still need human judgment on data quality and definitionsAI
  • B2B SaaS focus means consumer-style product questions are not the target use caseAI

How much does June AI cost?

Support

Support runs through the June docs site for setup and product questions, plus a help centre for terms and privacy articles. There is also a June School resource, a blog, guides and a public changelog.

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Integrations

June offers Salesforce, HubSpot and Attio integrations for the CRM side. Data sources are connected through the documented setup on the June docs site, and the company was described as the fastest growing app on Twilio Segment in 2022.

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Features

June AI answers specific product questions in natural language, positioned as a way to skip the data analyst queue. Any user can save a useful query so others on the team can find it. The broader product generates reports focused on how companies use a B2B SaaS product, alongside a feature report, a qualification bot and an iOS widget.

Frequently asked questions about June AI

  • How do you use June AI?
    The walkthrough on this page covers 5 steps: 1. Review the product and competitor comparisons 2. Connect your data source 3. Link your CRM 4. Ask June AI an ad-hoc question 5. Save and share the query.
  • What platforms does June AI support?
    June AI is available on Web App.
  • What does June AI integrate with?
    June offers Salesforce, HubSpot and Attio integrations for the CRM side. Data sources are connected through the documented setup on the June docs site, and the company was described as the fastest growing app on Twilio Segment in 2022.
  • What are the limitations of June AI?
    Public pricing detail is not stated on the homepage, so budgeting requires a separate conversation. Value depends on having product event data already instrumented and flowing. AI answers on ad-hoc questions still need human judgment on data quality and definitions.

Status

StatusActive
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Added10/22/2026

Platforms

Web App

Pricing

Paid