In the fast-paced world of SaaS businesses, data is the backbone of decision-making. Harnessing the power of SaaS analytics tools allows companies to gain actionable insights, track user behavior, and optimize their strategies for growth.
Whether you’re managing subscription data, improving user engagement, or analyzing marketing campaigns, the right analytics platform can transform complex data into valuable insights that drive success.
This guide explores the best tools, metrics, and strategies to help SaaS companies use analytics for better performance, customer retention, and revenue growth.
What is SaaS Analytics?
SaaS analytics refers to the process of collecting, analyzing, and interpreting data specific to Software-as-a-Service businesses.
Unlike traditional analytics, it focuses on metrics like monthly recurring revenue (MRR), customer churn, and user behavior to provide a holistic view of a SaaS company’s performance.
These platforms enable businesses to track key performance indicators (KPIs) such as customer lifetime value (CLV) and conversion rates, ensuring they make informed decisions based on accurate data.
What Should You Look For in SaaS Analytics Tools?
Choosing the right saas analytics tool involves assessing various factors that align with your business needs.
Key considerations & benefits include:
- Data Integration and Unification: Seamlessly combining data from multiple data sources to provide a comprehensive view. SaaS companies can respond quickly to changing trends with real-time data analysis. For example, monitoring user interactions on a mobile app or website helps product teams optimize features based on usage patterns.
- Enhanced Customer Retention Through Data Analysis: Analyzing customer feedback and segmentation data helps businesses identify pain points in the customer journey, leading to improved user experiences and higher retention rates.
- User Experience: Ensuring the tool is easy to use and offers intuitive data visualization.
- Cost Efficiency and Scalability: Modern analytics platforms are designed for scalability, making them suitable for both startups and established enterprises. They help reduce costs by automating processes like tracking traffic sources, analyzing subscription data, and identifying potential churn risks.
- Customizable Dashboards: Allowing you to tailor reports and dashboards to focus on key performance indicators (KPIs) relevant to your goals.
- Security and Compliance: Maintaining robust security features to protect customer data and ensure compliance with industry standards.
What Types Of SaaS Analytics Software Do SaaS Companies Need?
SaaS companies require a diverse range of analytics software to address various aspects of their business. Key types include:
- Web Analytics: Tools like Google Analytics track website traffic and user interactions, providing insights into traffic sources and conversion rates.
- Product Analytics: Platforms such as Mixpanel and Amplitude monitor product performance and user engagement, helping teams optimize features and improve the user experience.
- Customer Analytics: Tools like Baremetrics and ChartMogul focus on subscription data, monthly recurring revenue (MRR), and customer lifetime value (CLV), aiding in financial forecasting and customer retention strategies.
- Marketing Analytics: Solutions like Optimizely and Hotjar analyze the effectiveness of marketing campaigns, A/B testing, and customer feedback to refine marketing efforts.
- Business Intelligence: Comprehensive platforms such as Tableau and Looker provide advanced data analysis and business intelligence capabilities, supporting strategic decision-making across departments.
The 20 Best SaaS Analytics Tools to Use in 2025
ProfitWell
ProfitWell is an analytics tool for subscription businesses seeking precise profitwell metrics and a clear picture of their monthly recurring revenue. It helps saas companies monitor payments, track the churn rate, and analyze customer retention.
Teams also benefit from insights into pricing models and growth potential. The platform’s ease of use means you can quickly track each data point, while real-time updates keep you current with ongoing changes in customer behavior.
ProfitWell provides an option for a free trial on many features, letting you test the system’s key performance indicators without a big investment.
Looker
Looker is a robust analytics platform designed for saas companies that want seamless data integration and advanced data analysis. It gives product teams rich data visualization while offering a user-friendly dashboard.
This platform stands out for its ease of use, letting business and product marketing teams drill into complex data without heavy code. Secure workflows enhance trust, and machine learning integrations open new insights.
Looker helps align various departments on a single source of truth, promoting actionable insights and consistent metrics across the organization. VH Info views it as a strong option for those who want clarity in large-scale data integration processes.
Chartio
Chartio is a business intelligence solution built to unify data platform dashboards and manage marketing campaigns smoothly. It combines multiple data sources through flexible data integration, so you can see all your key performance indicators in one place.
Its interface is intuitive, allowing teams to produce custom charts, reduce complex data, and measure outcomes instantly. Chartio’s drag-and-drop system suits non-technical users, making it simpler to move straight from raw info to workable conclusions.
At VH Info, we admire Chartio’s balanced approach to data analytics: it respects beginners’ needs while supplying advanced users with the control they want for saas business growth.
Tableau
Tableau is a popular choice for handling complex data with sophisticated machine learning add-ons that shine in data visualization tasks. Users can connect to many data sources and interpret data points through interactive dashboards.
Its interface tends to boost user engagement while also helping track major saas metrics like revenue or churn. Tableau offers multiple tiers to fit different team sizes and skill levels, making it flexible for large or small saas companies.
VH Info appreciates how Tableau encourages interactive reporting, which can help leadership teams respond to market trends with sure-footed data analysis that supports real revenue growth.
Hotjar
Hotjar emphasizes user behavior insights on websites or mobile apps, providing heatmaps and recordings that capture how visitors click, scroll, and navigate.
It helps identify bottlenecks to improve the user experience and boost the conversion rate. In addition, Hotjar’s customer feedback polls show why some visitors abandon pages or features, whether it’s an unclear button or a complicated funnel.
The platform also reveals how website traffic flows across pages in real time.
Optimizely
Optimizely is an industry-standard solution for b testing, product performance tracking, and marketing automation.
Its main strength is testing different site elements—like page layouts, calls to action, or sign-up flows—and reporting on which variations yield better key saas metrics.
With analytics-driven insights, you can accelerate growth by targeting important metrics and nimbly adjusting campaigns. Optimizely also integrates with various third-party tools to streamline data across your saas business.
Google Analytics
Google Analytics is a classic web analytics service widely used by saas companies. It spots traffic sources that drive site visits, monitors customer behavior, and evaluates how individuals move through your pages.
Since it integrates with Google’s marketing ecosystem, you can link campaigns, measure conversion rate, and pivot accordingly. Google Analytics offers a broad suite of metrics with best saas analytics features at a basic level, making it practical for a subscription business that’s scaling.
Adobe Analytics
Adobe Analytics brings saas analytics to the next level through intelligent analysis and actionable insights. It covers the customer journey across channels—web, mobile, and offline—offering a complete look at interactions.
Built with advanced features that can spot market trends, it helps teams estimate annual recurring revenue and gauge user loyalty. Adobe uses predictive modeling to find patterns in customer segmentation. The platform’s adaptability suits both enterprise and mid-range saas companies.
Thanks to robust security and integration across the Adobe suite, you gain a stable environment for turning raw data into revenue-driving steps. VH Info suggests it for bigger teams needing thorough oversight.
HockeyStack
HockeyStack tracks user behavior and transforms it into direct insights on your product and site usage.
You can track user behavior across channels, identifying which interactions push subscriptions, sign-ups, or upgrades. It’s especially good as a product analytics tool, combining data from each data source to map out funnel performance.
Teams can see how certain pages, features, or campaigns link with revenue growth. The tool also supports product teams wanting to unify marketing and product data for coordinated strategies.
Baremetrics
Baremetrics focuses on your saas metrics like monthly recurring revenue, churn rate, and annual recurring revenue, touting the ability to transform raw subscription data into accurate data for strategic sales decisions.
It segments new sign-ups, offering details on each cohort’s preferences, while highlighting spots where churn or revenue dips might happen. You can also track how new customers come in and how they shift between different plan tiers.
Because of its specialized analytics, Baremetrics stands out for subscription business operators who want clarity on user lifecycles. VH Info calls it a strong partner for those seeking to keep churn under control and expand revenue channels.
Quantcast
Quantcast specializes in customer segmentation and real-time analytics features, often used for optimizing marketing campaigns. This platform captures data on site visitors, revealing patterns related to customer acquisition and ad performance.
If you want to refine targeting or see if email outreach matches audience expectations, it lets you slice segments by demographics or behavior. Built-in tools can store leads’ email addresses and measure if paid placements send the right traffic.
ChartMogul
ChartMogul centralizes all your subscription and billing info, turning them into comprehensive saas analytics. It highlights key saas metrics such as customer lifetime value, churn, and MRR expansions.
With advanced data analytics, you can dissect user movements, check product engagement, and measure each plan’s performance to guide your pricing options. The dashboards are straightforward, allowing multiple ways to filter or group data.
Integrating popular billing platforms will show you each user’s subscription path.
Kissmetrics
Kissmetrics focuses on funnel tracking and letting you track user behavior in detail. By showing user interactions at every stage, you can identify where sign-ups or payments drop. It pairs well with e-commerce or saas companies looking to boost conversion rate.
Kissmetrics breaks down data points by segment, such as new vs. returning. This helps teams detect customer churn signals early and prevent them. The robust event-based system is flexible enough for custom retention campaigns.
Mixpanel
Mixpanel excels at measuring user behavior within web and mobile products, highlighting how visitors engage and letting you refine user engagement strategies. It’s known for strong product analytics, analyzing user funnels and segmenting audiences quickly, which helps with precise customer retention plans.
Real-time monitoring shows the direct impact of improvements. Because of its usage-based model, you can start with a free trial to test new features. Teams can combine data from multiple sources for a broader look.
Amplitude
Amplitude fits saas analytics tool needs by providing event-based monitoring for product usage. Teams can gather valuable insights into how new or existing users navigate a site or mobile app, ensuring that updates align with real-world patterns.
The platform’s advanced data science applies machine learning to highlight user flows that drive or hinder growth. You can track important metrics like expansions or churn events for deeper data analysis.
Because the interface is intuitive, product managers and product teams can independently explore the data, leading to better synergy.
Crazy Egg
Crazy Egg offers snapshot-based analytics to visualize website user experience.
Heatmaps, scrollmaps, and mouse-tracking features sharpen your view of how visitors interact with your pages, revealing pathways to raise the conversion rate. The platform also provides customer feedback surveys and supports basic b testing so you can try variations quickly.
As changes become clearer, you can keep an eye on website traffic patterns to see if you’re capturing audience interest. The platform works well for both new and established sites that want ongoing clues to keep visitors moving through funnels.
Woopra
Woopra prides itself on delivering a holistic view of customer data from marketing, support, and product usage.
Synchronizing user interactions across channels supports robust funnel designs and real-time event streaming. Its focus on customer support helps unify email, messaging, and ticketing data into centralized analytics.
Woopra’s business intelligence layer supplies cameo metrics on conversions, retention, and segmentation. On top of that, the tool’s ease of use means you can launch with minimal development overhead.
Intercom
Intercom merges customer experience with analytics, providing live chat, help desk, and customer feedback loops. It ties into marketing automation features that can lead prospects down tailored funnels, making your product marketing more effective.
Alongside user messaging, the platform logs usage stats, so you see how messages affect sign-ups or conversions. The advanced segmentation helps with customer acquisition as well, revealing who interacts with specific content or services.
These integrated data points inform upsell or cross-sell messages.
Heap
Heap collects all user events automatically so you can track user behavior without extra tagging. By having data integration across channels, it serves as a robust product analytics tool, capturing each digital gesture so you can spot hidden patterns in complex data.
Teams can design funnels or analyze user flows to reach vital key performance indicators, like sign-ups or expansions. You can also measure product performance on web or mobile. Its suite of reports fosters deeper user engagement analytics.
UserTesting
UserTesting is designed for in-depth customer feedback and customer experience reviews. It shows real stories of users interacting with your product or site, capturing their user behavior and raw responses through video or tasks.
With each test, you can measure the effect on product engagement and refine design or messaging. The platform yields valuable insights to uncover the best path forward, so you can focus on important metrics that matter to long-term loyalty.
A free trial is often available, and recruit features help you collect testers’ email addresses quickly. VH Info sees it as a key asset for teams that want honest user opinions and real-time test data.
At VH Info, our goal is to provide knowledge and support for every saas business committed to scaling effectively.
These 20 best saas analytics platforms each handle a different aspect of growth, whether it’s track user behavior, refining the user experience, or viewing advanced customer segmentation. Combining the data analytics capabilities of these tools with your unique goals can help your team increase product engagement, reduce customer churn, and deepen loyalty.
We hope this rundown informs your search for the right analytics tool.
Key SaaS Metrics and KPIs to Track Through Your SaaS Analytics
Tracking the right metrics is essential for understanding your business’s health:
Average Revenue Per User (ARPU)
ARPU measures the average revenue a saas business brings in from each user account within a specific timeframe. It’s useful for saas companies aiming to understand how pricing options, marketing campaigns, and product enhancements affect user behavior.
Many teams rely on an analytics platform or saas analytics tool to track data points such as active subscribers, plan tiers, and upgrades. Google Analytics and other web analytics solutions often help break down traffic sources and user engagements.
Monthly Recurring Revenue (MRR)
Monthly recurring revenue (MRR) indicates predictable income generated from customers each month.
For a subscription business, MRR is a central key performance indicator that measures revenue growth, helps forecast cash flow, and influences product or marketing automation decisions.
Many saas analytics solutions let teams track user behavior related to upgrades, downgrades, or cancellations to ensure accurate data collection.
Monitoring MRR clarifies how well customer acquisition efforts convert into paying subscribers and whether pricing strategies attract new customers. High MRR usually signals strong product engagement and, in turn, strengthens customer retention rates.
Annual Recurring Revenue (ARR)
Annual recurring revenue (ARR) is the year-long perspective of recurring income. It’s especially meaningful for saas companies with annual subscriptions, letting them standardize saas metrics over longer periods.
ARR combines elements like customer data, renewals, and expansions to calculate total value. This metric often shows market trends more effectively than shorter-term models.
Many product teams rely on a robust analytics tool to monitor ARR and align their product marketing strategies.
Expansion MRR Rate
Expansion MRR rate measures how much extra monthly recurring revenue existing customers add—through upsells, cross-sells, or add-ons—compared to the previous month. It reveals whether people see more value over time, which boosts customer lifetime value.
Tracking this rate within a saas analytics platform helps highlight user interactions tied to growth within your existing client base. A positive trend often signals a healthy user experience, as customers willingly spend more.
Teams can set up b testing or customer feedback loops to pinpoint popular product elements. Expansion MRR rate also indicates where product analytics and customer segmentation can drive deeper product performance.
Churn MRR Rate
Churn MRR rate captures how much monthly recurring revenue is lost when subscribers downgrade or cancel.
It exposes gaps in customer support, product features, or customer experience. A saas analytics tool monitors churn triggers, such as slowed user engagement or repeated issues during the customer journey.
Understanding this rate helps refine both marketing campaigns and onboarding flows to keep the conversion rate high. Many businesses also focus on cost efficiency by anticipating churn triggers with customer behavioral clues.
Customer Lifetime Value (CLV or LTV)
Customer Lifetime Value (CLV or LTV) sums up the total revenue a customer is expected to generate during their entire relationship with a saas business. A high CLV indicates that customer acquisition efforts are paying off with consistent renewals and upgrades. Useful for planning marketing campaigns and expansions, CLV aligns with saas analytics solutions that track user behavior and financial returns.
By analyzing customer behavior through web analytics or a dedicated product analytics tool, companies see how well they’re meeting client needs. Higher CLV boosts revenue growth, reduces customer churn, and enhances business intelligence strategies.
Customer Lifetime Value (LTV) to Customer Acquisition Cost (CAC) Ratio
This ratio compares how much revenue is expected from a customer (LTV) to the investment made in acquiring them (CAC). A healthy ratio often sits around 3:1, meaning you earn three times more than you spend to secure that user.
Since it links costs to user behavior and product engagement, a strong analytics platform can reveal if marketing automation or pricing options need adjusting. If the ratio falls short, consider a free trial or personalized customer segmentation to attract the right audience.
An elevated ratio confirms you’re harnessing valuable insights from your saas analytics and driving revenue growth effectively.
Customer Retention Rate (CRR)
Customer Retention Rate (CRR) shows how many existing customers stay active over a given time. Maintaining a high CRR means your subscription business is holding on to its user base and improving user experience.
Monitoring it with saas analytics or google analytics helps you identify any drop-off patterns, measure product performance, and detect where customer support or the customer journey might improve.
CRR often correlates with ease of use, guiding teams to refine complex data or incorporate better data visualization. A robust CRR promotes consistent monthly recurring revenue, stable churn rate, and better customer retention outcomes for long-term stability.
How to Choose the Right SaaS Analytics Tool For Your Business?
Think about what your business needs. Look at the features and prices. Make sure to focus on how well the tool can grow with you and how it can connect with other tools. Choose a SaaS analytics tool that matches your goals. This will help you get the best performance possible.
- Assessing Your Business Needs: Identify the specific data points and key performance indicators that are important for your business. Assess whether you need comprehensive product analytics, detailed customer segmentation, or robust business intelligence capabilities.
- Comparing Features and Pricing: Evaluate the features offered by different analytics tools against your requirements. Consider pricing options and ensure the tool provides a free trial to test its functionality before committing.
- Importance of Scalability and Integration: Choose a tool that can scale with your business growth and seamlessly integrate with your existing data sources and marketing automation platforms. This ensures that your saas analytics infrastructure remains robust and adaptable.
FAQ’s:
What Makes SaaS Analytics Tools Indispensable?
They supply an analytics tool framework that uncovers actionable insights for growth, helping you track core data points like monthly recurring revenue and the churn rate. They also streamline business intelligence by syncing customer data, making it simpler to spot ways to boost user engagement and refine marketing campaigns.
How Can Small Businesses Benefit From SaaS Analytics?
Small operations gain a holistic view of their subscription business, tracking customer feedback and conversion rate in real time. This approach reduces guesswork, allowing them to spot market trends, tailor marketing automation, and strengthen customer retention without needing large budgets.
How Can Businesses Use SaaS Analytics For Customer Retention?
They analyze user behavior, customer churn, and product analytics to show where customers slip away. Focusing on churn rate signals helps teams build more personalized customer experience strategies, keep new customers longer, and preserve revenue growth.
How Do SaaS Analytics Tools Improve Business Performance?
They transform complex data into easy insights, tracking metrics like profitwell metrics and highlighting effective traffic sources. This simplifies data analysis, driving product engagement, cost efficiency, and helping sustain annual recurring revenue through steady data integration and clear decision-making.
Are There Free Options For SaaS Analytics Tools?
Yes. Many platforms, including Google Analytics and ProfitWell, offer a free trial or free plan . These let you monitor mobile app usage, watch customer acquisition costs, and gauge key saas metrics without steep fees, making it easier to start capturing valuable insights.
Conclusion
Selecting the right saas analytics tool is pivotal for any saas business aiming to thrive in a competitive market. With the right analytics platform, companies can gain valuable actionable insights, improve user engagement, and drive revenue growth.
Focusing on essential saas metrics and using advanced analytics features can help businesses optimize their customer journey, enhance customer retention, and achieve sustained success in 2025 and beyond.