5 B2B SaaS Analytics Tools You Must Check in 2025

You’ve got dashboards. But do they actually tell you where users drop off — or why they stop paying?

Most SaaS dashboards:

– Show numbers, not insights

– Miss product + revenue context

– Aren’t built for fast decisions

– Get ignored after the first login

That’s where the right B2B SaaS analytics software can change everything — by turning your metrics into real answers, not just charts.

In this blog, we’ll help you:

• Understand what makes a good analytics tool
  

• Compare the 5 best analytics tools for SaaS in 2025
  

• Find tools with real-time SaaS dashboards
  

• Know which metrics actually work

By the end, you’ll have a clear idea of what to use, what to skip, and how to level up your product and revenue decisions with the right B2B SaaS analytics tool.

What Is B2B SaaS Analytics?

B2B SaaS analytics means tracking and analyzing subscription, product, and customer metrics to understand business performance, improve retention, and scale more effectively.

With B2B SaaS analytics, you can:

• Track monthly recurring revenue (MRR) and churn
  
  

• Analyze customer behavior across product features
  
  

• Measure customer lifetime value (CLTV)
  
  

• Identify patterns that calculates growth
  
  

• Spot trends early for better decisions

For example, if churn rises after a new feature release, analytics can reveal if the feature was hard to use or failed to deliver value.

B2B SaaS analytics are particularly helpful for SaaS founders, product teams, and growth marketers who need to make informed decisions quickly.

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What Makes a Good B2B SaaS Analytics Tool?

To choose the perfect SaaS analytics tool, you need to look for features that translate your data directly into actionable insights and growth opportunities.

So, here are some:

• Real-time dashboards: Get live metrics instantly so you can respond quickly to changes rather than waiting for weekly or monthly reports.

• Seamless integrations: Easily connect with your CRM, billing systems, and product databases to avoid manual data entry and maintain accuracy.

• Easy segmentation: Segment users based on behavior, subscription, or engagement to understand exactly who your most valuable customers are.
  
  

• Cohort analysis: Identify user groups based on specific events or timelines, making it easier to track long-term customer trends and retention.
  
  

• Scalability: Choose analytics software designed to grow with your business, ensuring it remains effective from startup through enterprise.

To keep it even simpler and help you choose a perfect fit, you also have to consider:

By carefully matching these factors with your current growth stage and needs, you'll select an analytics tool that empowers your team to scale confidently and effectively.

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5 Best B2B SaaS Analytics Tools in 2025

To help you choose a preferred B2B SaaS analytics tool, here’s a complete comparison of the top options worth trying in 2025.

Now, let’s explore what each of these tools does, how they’re different, and which one fits your current growth needs best.

1. Upsolve AI – Built for Modern SaaS Analytics

Upsolve AI is a customer-facing analytics platform that helps SaaS companies embed interactive, customizable dashboards into their apps, offering powerful insights directly to end-users.

Upsolve AI enables your customers to explore real-time insights directly within your app.

Your users get instant access to critical data, enhancing their product experience significantly.

Additionally, Upsolve AI streamlines your internal processes.

By embedding self-service analytics, your team spends less time building dashboards, focusing more on your core product features and growth.

Upsolve AI Features:

• AI-Powered Dashboards: Quickly create personalized, interactive dashboards using built-in generative AI, without coding.
  
  

• Easy Data Integration: Connect seamlessly with major databases and data warehouses, enabling quick setup and immediate insights.
  
  

• End-User Personalization: Allow your users to customize dashboards themselves, increasing relevance and usability of your analytics.
  
  

• Quick Embed Options: Embed dashboards easily into your app using React components or simple iFrame integrations.
  
  

Upsolve AI Pros:

• Fast deployment with minimal engineering effort
  
  

• Enhanced end-user engagement
  
  

• Easy customization for non-technical users

Upsolve AI Cons:

• Initial setup may require developer assistance
  
  

• Advanced features have a moderate learning curve
  
  

• Less suited to extremely specialized analytics needs

Upsolve AI Pricing:

• Growth Plan: $1,000/month
  
  

• Professional Plan: $2,000+/month
  
  

• Enterprise Plan: Custom Pricing
  
  

• Free Trial: 30-day free trial available

When Upsolve AI is Most Useful:

Upsolve AI is best for SaaS companies wanting embedded analytics dashboards within their products, improving customer experience and providing users insights without heavy developer involvement.

2. ChartMogul – Best for Revenue Analytics Tracking

ChartMogul is a SaaS analytics software focused on subscription metrics.

It helps you track MRR, churn, LTV, and other critical revenue KPIs with clarity and ease.

It’s especially helpful for finance and RevOps teams looking to get investor-ready metrics without complex spreadsheet workflows or engineering support.

ChartMogul pulls billing data from Stripe, Chargebee, and other platforms to deliver clean, accurate revenue insights right out of the box.

ChartMogul Features:

• Subscription Analytics: Track MRR, ARR, churn, expansion, and contraction with real-time revenue analytics tools.
  
  

• Customer Cohort Reports: Understand retention trends across signup cohorts and subscription events.
  
  

• Segmentation & Filters: Drill into data by region, plan, or acquisition source to uncover hidden trends.
  
  

• Custom Metrics & Enrichment: Enrich customer profiles with external data using integrations and APIs.

ChartMogul Pros:

• Accurate billing and revenue data without manual work
  
  

• Clean, visual reports ready for investor decks
  
  

• Easy integration with Stripe, Recurly, and Chargebee

ChartMogul Cons:

• No product analytics or usage insights
  
  

• Limited self-serve capabilities for non-finance users
  
  

• Cohort features could be more customizable

ChartMogul Pricing:

• FreePlan: Free for founders with less than $120K ARR
  
  

• Pro Plan: Starts at $99/month
  
  

• Enterprise Plan: From $19,900/year

When ChartMogul is Most Useful:

Perfect for early-stage to mid-size SaaS companies that need clear revenue visibility, investor reporting, and subscription analytics without building custom dashboards.

3. June.so – Lightweight Product Analytics for Fast-Moving SaaS Teams

June.so is a simple, plug-and-play product analytics tool designed for SaaS companies that want quick insights without dealing with complex setups or dashboards.

It’s built especially for product managers and early-stage teams who need to track feature adoption, user behavior, and onboarding flows—without relying on data teams.

June automatically tracks key product events and gives you clean, easy-to-understand reports you can actually act on.

June.so Features:

• Auto-Tracked Events: Tracks key product actions like signups, logins, and feature clicks with zero setup.
  
  

• Pre-Built Reports: Get ready-made dashboards for feature usage, activation, retention, and more.
  
  

• User Timelines: See exactly what each user did, in what order, without building custom events.
  
  

• Slack & Email Alerts: Stay updated on product usage trends without checking your dashboard daily.

June.so Pros:

• No-code setup with instant insights
  
  

• Built for non-technical product teams
  
  

• Super clean UI and fast onboarding

June.so Cons:

• Not ideal for deep revenue analytics
  
  

• Limited flexibility in creating custom dashboards
  
  

• Basic segmentation compared to advanced tools

June.so Pricing:

• Free Trial Available
  

• Paid Plan: Custom Pricing

When June.so is Most Useful:

Great for product-led SaaS teams that want quick answers about what features work, who’s active, and how users behave without heavy setup or analytics complexity.

4. InnerTrends – Built for Onboarding, Retention & Growth Analysis

InnerTrends is a product analytics platform designed to help SaaS teams understand user behavior during onboarding, feature adoption, and long-term retention.

It’s ideal for teams focused on reducing churn, improving activation, and identifying why users drop off without needing to build complex queries.

InnerTrends turns raw event data into plain-English insights, so even non-technical teams can uncover what’s blocking growth.

InnerTrends Features:

• Onboarding Analysis: Pinpoint exactly where users drop off during onboarding and what steps drive activation.
  
  

• Churn & Retention Reports: Identify the behaviors of loyal vs. churned users to reduce drop-offs.
  
  

• Natural Language Insights: Get answers to questions like “Why are users not returning after sign-up?” in simple language.
  
  

• Customer Journey Mapping: Visualize the full user experience from first touch to conversion and beyond.

InnerTrends Pros:

• Actionable insights without SQL
  
  

• Tailored for growth and onboarding teams
  
  

• Great for reducing churn and improving retention

InnerTrends Cons:

• Requires event tracking setup upfront
  
  

• Interface may feel complex for new users
  
  

• Pricing is not transparent on the website

InnerTrends Pricing:

• Project Based: Custom plan
  
  

• Subscription Based: $700/day

Also, you can request for a custom offer based on needs in both pricing type.

When InnerTrends is Most Useful:

Best suited for SaaS teams trying to improve activation and retention by understanding exactly how users behave across the product journey.

5. Heap – Best for Full-Funnel Product Analytics

Heap is a powerful product analytics tool that automatically captures every user action across your app and there’s no of manual tagging or tracking code required.

It’s ideal for data-driven SaaS teams that want deep visibility into user behavior, funnels, and drop-offs without relying on developers for every event.

Heap retroactively collects data, so you can analyze user journeys and trends even before you know what to track.

Heap Features:

• Auto-Capture Everything: Tracks all clicks, page views, form submissions, and events automatically from day one.
  
  

• Retroactive Analysis: Answer product questions instantly even if you forgot to tag something months ago.
  
  

• Funnel & Path Reports: Visualize how users move through your product and where they drop off.
  
  

• Advanced Segmentation: Drill into behavior by persona, plan type, or custom user properties.

Heap Pros:

• No need to predefine events
  
  

• Great for uncovering hidden user patterns
  
  

• Scales well for growing data teams

Heap Cons:

• Can feel overwhelming for non-technical users
  
  

• Needs cleanup to avoid noisy data
  
  

• Deeper analysis may require a data team

Heap Pricing:

• Free Plan: Up to 10,000 sessions/month
  
  

• Growth Plan: Custom pricing (starts after free tier)
  
  

• Premier Plan: Enterprise features, custom quote

When Heap is Most Useful:

Perfect for mid to large SaaS teams that want to analyze user behavior across the entire product lifecycle especially if they need depth without complex tagging setups.

Now, after exploring each tool, you might get an idea about which tool might be a perfect choice, but selecting a preferred SaaS analytics tool for your B2B will always depend on your unique goals, current needs, and future growth plans.

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KPIs to Track from a B2B SaaS Analytics Tool

To get maximum value from your SaaS analytics software, it’s crucial to track KPIs that truly measure your company's health and help drive smart, actionable decisions.

Here's a clear, structured breakdown of essential KPIs and why each matters:

Tracking these KPIs consistently empowers you to proactively manage growth, optimize product experience, and keep your SaaS business on a healthy trajectory.

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Final Thoughts: What Makes a Great B2B SaaS Analytics Tool?

In the end, the best analytics tools for your SaaS aren’t just about pretty dashboards or complex charts.

They’re tools that actually help you make smarter business decisions.

Great analytics software blends usability with powerful features. It also integrates:

• Real-time insights
  
  

• Fits directly with internal team
  
  

• Ability to draw meaningful data-based decisions from insights

But good analytics isn’t just about gathering data. It’s about knowing exactly what to do next.

Choose tools that let your team quickly see trends, solve problems, and find new opportunities.

If you’re still exploring, a tool like Upsolve AI is a smart choice.

It’s specifically built to embed analytics right into your product, helping both your team and customers gain insights effortlessly.

So, pick the analytics tool that fits your current stage, business goals, and user needs.

That’s how you ensure the insights you gain genuinely help your business grow.

FAQs

Q1: What is the difference between product analytics and revenue analytics?

Product analytics tracks how users interact with your app.

Revenue analytics focuses on subscription metrics like MRR, churn, and LTV.

Q2: Which SaaS analytics tools are best for early-stage startups?

Upsolve AI, June.so and ChartMogul offer simple setups, clean dashboards, and affordable plans that work well for smaller, fast-moving teams.

Q3: Can I use multiple tools together?

Yes, many teams combine tools.

ChartMogul for billing data, Heap for product behavior, and Upsolve AI for real-time AI-driven insights which gives it a fuller view of the customer journey.

Q4: What should I look for in a SaaS dashboard?

Look for clarity, real-time updates, customization, and metrics that align with your team’s goals.

Avoid dashboards overloaded with vanity data.

Q5: How often should I review SaaS metrics?

Ideally, key metrics should be reviewed weekly.

Some teams check daily, while others rely on alerts and monthly reviews for deeper trends.