The best June Analytics alternatives for B2B SaaS teams in 2026

June Analytics offered simple product analytics, but with the founding team joining Amplitude, you may be looking for alternatives.

This guide walks through the top June Analytics alternatives, from open-source options to enterprise solutions, to help you find a product analytics platform that fits your team’s needs and budget.

Why teams are moving beyond June Analytics

June Analytics works well for what it does: simple product analytics for early-stage B2B SaaS companies. Its natural language queries and auto-generated reports make it easy for entire teams to use, including people who aren’t data analysts. As companies grow, though, they run into limits that June struggles to handle.

June Analytics is shutting down permanently

In July 2025, June Analytics announced that it will officially wind down operations on August 8, 2025. The founding team is joining Amplitude, which leaves current users needing to migrate their data and find a new analytics tool quickly.

Current June customers have 30 days to export their data or migrate to Amplitude, and the company provides export tools and migration guides to ease the transition. June offers refunds for unused subscription time and maintains full support during the transition period, but teams still have to find a new analytics platform no matter how satisfied they are with June’s current capabilities.

Better features and pricing still matter, but the search for a June alternative is now also about finding a reliable long-term partner for your product analytics. Current users need to make this decision soon.

Limited customization options frustrate growing teams

June’s auto-generated reports are convenient at first, but they start to feel restrictive when you need specific insights that don’t fit its pre-built metrics. You can view and edit SQL queries, but overall flexibility stays limited compared to more capable analytics platforms.

Growing product teams often need custom dashboards, specific KPIs, and unique reporting formats. June’s simple approach works for basic needs but falls short when your analytics requirements become more advanced.

Integration gaps slow down team workflows

June integrates well with Segment, HubSpot, and a few other platforms, but as your tech stack grows, you’ll likely need connections that June doesn’t support. Those gaps create data silos that make complete analysis harder.

A typical SaaS team uses dozens of tools across sales, marketing, and product development. When your analytics platform can’t connect to key tools, you end up with incomplete data and manual workarounds that waste time.

Analytics needs grow beyond basic metrics

June focuses on core SaaS metrics like acquisition, activation, retention, and churn. These are essential, but mature product teams often need advanced features like cohort analysis, funnel optimization, or predictive analytics that June doesn’t provide.

As your product evolves, you need deeper insights into user behavior, feature adoption, and customer journey mapping, and June’s basic metrics aren’t enough for complex product decisions.

Top 6 June Analytics alternatives for B2B SaaS teams

We evaluated dozens of analytics platforms to find the best June alternatives. These 6 options offer better scalability, features, and value:

• Basedash - AI-native business intelligence platform
• PostHog - Complete open-source analytics solution
• Amplitude - Advanced cross-platform behavioral analytics
• Heap - Automatic event capture and analysis
• Matomo - Privacy-focused open-source analytics platform
• Mixpanel - Event-based product analytics platform

1. Basedash: AI-native business intelligence platform

Basedash built AI capabilities into the platform from day one instead of adding them later, and the entire experience is designed to make data analysis feel natural.

Setup avoids the complexity that often frustrates teams moving off June. You can ask questions in plain English and get meaningful answers through AI-powered natural language search, and AI-generated summaries and narratives explain what your data shows.

Transparent pricing addresses one of the biggest pain points for teams scaling beyond June’s free tier. Instead of usage-based surprises, you get predictable costs that scale with your business. For teams building customer-facing analytics, Basedash offers clean APIs and customization options for embedded experiences.

Best for: B2B SaaS teams who want AI-enhanced analytics without enterprise complexity.

2. PostHog: The complete open-source analytics solution

PostHog combines product analytics, session replay, feature flags, A/B testing, and user surveys in a single platform, which cuts down the tool sprawl many teams end up with when they try to get complete product insights.

The open-source foundation means you can self-host if data privacy is a concern, or use the cloud version for convenience. Compared with June’s limited feature set, PostHog provides deep functionality across multiple areas of product development.

Session replays with event timelines add context that pure analytics can’t provide. You can see what users did before they churned or converted, which helps you spot optimization opportunities. Feature flags and A/B testing let you experiment safely and measure results in the same tool you use for analytics.

Best for: Teams wanting complete product analytics with the flexibility of open-source software.

3. Amplitude: Advanced cross-platform behavioral analytics

Amplitude specializes in user behavior analytics with advanced journey tracking and engagement analysis. Over 3,200 companies use it to understand how customers interact with their products across multiple touchpoints.

The platform excels at cohort analysis and retention studies that go far beyond June’s basic retention metrics. You can track user behavior over time, identify patterns that lead to expansion or churn, and measure the impact of product changes.

Real-time data updates and custom event tracking provide flexibility that June’s pre-built metrics can’t match. The intuitive interface makes complex analysis accessible to non-technical team members, and extensive integrations connect Amplitude to a wide range of platforms and ecosystems.

Best for: Teams needing advanced behavioral analytics and cross-platform user journey tracking.

4. Heap: Automatic event capture and analysis

Heap automatically captures every user interaction, so you skip the manual event tagging that slows down many analytics implementations. Because the data is already there, you can analyze historical behavior retroactively without prior setup.

The visual editor lets teams tag on-page events for analysis without engineering support. That opens analytics to more of the team, something June aims for but doesn’t fully achieve because of its limited customization options.

Heap’s advanced funnel and retention analysis offers more depth than June’s basic metrics. You can analyze user journeys in granular detail and identify specific drop-off points in your conversion process. Integrations with customer engagement tools and data warehouses let you combine product usage data with business metrics.

Best for: Teams wanting complete event tracking without manual setup requirements.

5. Matomo: Privacy-focused open-source analytics platform

Matomo emphasizes user privacy and data ownership while providing full analytics capabilities. You can self-host to keep complete control over your data, which matters more and more for companies serving privacy-conscious customers.

Because it’s open source, Matomo can be customized and adapted to specific needs. That addresses the customization limits that frustrate teams working within June’s more rigid structure.

Unlike platforms that store data on third-party servers, Matomo lets you keep everything on your own infrastructure. This ensures compliance with data protection regulations and gives you full control over data access and retention. The platform provides detailed analytics without compromising user privacy.

Best for: Teams prioritizing data privacy and ownership with the flexibility of open-source customization.

6. Mixpanel: Event-based product analytics platform

Mixpanel focuses on event-based tracking and user behavior analysis, with more granular control over event definitions and analysis than June’s simplified approach.

Advanced segmentation capabilities let you analyze user behavior across multiple dimensions. You can create cohorts based on behavior patterns, demographic data, or custom properties to understand different user groups.

Its retention analysis, with cohort tables and advanced visualization options, is more detailed than what June offers. A/B testing integration lets you measure the impact of product changes directly within your analytics platform, and Mixpanel’s API and integrations make it easier to connect with other tools in your tech stack.

Best for: Teams needing detailed event-based analytics with advanced segmentation capabilities.

How to choose the right June Analytics alternative

The best June Analytics alternative for you depends on your needs, team capabilities, and growth plans. These 5 factors will determine which platform works best for your team:

• Technical resources and team capabilities
• Integration needs with existing tools
• Data privacy and compliance requirements
• Future scale and growth planning
• Budget and pricing predictability

Working through them will help you avoid costly mistakes and find a platform that grows with your business.

Consider your team’s technical resources and capabilities

Some platforms require more technical expertise but offer greater flexibility. PostHog and Matomo provide strong capabilities if you have the technical resources to implement and maintain them, while Basedash and Amplitude offer more managed experiences with less technical overhead.

Think about your team’s current skills and available time for implementation. If you have limited technical resources, choose a platform with simple setup and maintenance.

Evaluate integration needs with existing tools

Consider how well each solution fits into your existing tech stack. June’s limited integrations might be holding you back, so prioritize platforms that connect with your current tools and can grow with your infrastructure.

Make a list of your essential tools and check which analytics platforms offer native integrations. The better your analytics platform connects with your existing workflow, the more value you’ll get from your data.

Think about data privacy and compliance requirements

If you’re serving customers in highly regulated industries or privacy-conscious markets, platforms like Matomo and Basedash that offer self-hosting options might be essential. Cloud-only solutions like Amplitude provide convenience but require trusting third-party data handling.

Consider your industry’s specific compliance requirements and your customers’ privacy expectations. Some businesses need complete control over their data, while others can work with trusted third-party providers.

Plan for future scale and growth

June’s user limits and feature restrictions become problematic as companies grow. Choose a platform that can handle your projected growth without forcing another migration in six months.

Look at pricing tiers and feature limitations to make sure your chosen platform can accommodate your expected user growth, data volume, and feature needs over the next 12-24 months.

Budget for predictable costs and pricing

Part of June’s appeal is its affordable pricing for small teams. Look for alternatives with transparent pricing models that won’t surprise you as your usage grows. Usage-based pricing can be cost-effective but makes budgeting harder.

Calculate potential costs at different usage levels, for both current needs and projected growth, to avoid bill shock as your business grows.

Making the transition from June Analytics smoothly

Moving from June Analytics to a new platform requires careful planning to avoid losing historical data and insights. The steps below cover migration, training, and rollout.

Data migration and export considerations

Most alternatives offer import capabilities, but the process varies significantly. PostHog and Mixpanel have specific migration tools, while others might require more manual work. Plan for this transition time in your implementation schedule.

Start by exporting your data with June’s export tools. Then work with your new platform’s support team to import and validate it cleanly, and allow extra time for testing to make sure your historical data transferred correctly.

Team training and user adoption strategies

Simplicity is one of June’s main advantages, so make sure your new platform provides adequate training resources and support to help your team adapt. Platforms like Basedash and Amplitude prioritize user experience, which eases the switch.

Schedule training sessions for your team and identify power users who can help others during the transition. Most platforms offer onboarding support and documentation to help your team get up to speed quickly.

Gradual rollout and testing approaches

Consider running your new analytics platform alongside June for a period to check data accuracy and give the team time to get comfortable. Running both in parallel reduces risk during the transition.

Start with a small subset of your data or a specific team before rolling out company-wide, so you can find and fix issues before they affect your entire organization’s analytics workflow.

With June shutting down in August 2025, the sooner you start testing alternatives, the more time you’ll have for a smooth migration before the deadline.

Time to upgrade your product analytics

June Analytics serves early-stage B2B SaaS companies well, but growing businesses need more advanced capabilities. Whether you need PostHog’s complete feature set, Amplitude’s advanced behavioral analytics, or Basedash’s AI-native approach, better options exist for most use cases.

Match platform capabilities to your specific needs instead of forcing a one-size-fits-all solution. Choose a platform that can grow with your business and provide insights that drive meaningful product improvements.

Use free trials and demos to test alternatives with your own data and use cases. Hands-on evaluation reveals practical differences that specifications alone can’t capture.