From data to decisions: best analytics tools for product managers in 2025

In product management, every decision can have a big impact on the user experience and the product’s success. That’s why data-driven insights are essential. With the right analytics tools, product managers can track how users interact with features, understand engagement patterns, and make informed decisions that drive product growth.

This article will guide you through some of the best analytics tools for product managers in 2025, explaining what these tools do, why they’re useful, and how to choose the one that fits your needs.

What is a product analytics tool?

A product analytics tool helps you understand how users interact with your product. These tools track user actions, such as clicks, logins, or purchases, and show patterns in how people are using specific features or navigating through the app. The goal is to move beyond raw numbers and provide insights that help you make better product decisions.

With a product analytics tool, you can:

• Track user behavior: see how users are engaging with different parts of your product.
• Measure feature performance: find out which features are popular and which might need improvement.
• Optimize user journeys: identify friction points in the user flow and make adjustments to improve the experience.

In short, product analytics tools turn data into actionable insights, helping you make informed decisions that align with user needs and product goals.

Why product managers need analytics tools

For product managers, understanding how users interact with your product is crucial. Analytics tools provide a clear view of user behavior, helping you spot trends, make data-driven decisions, and prioritize features that truly add value.

Here’s how analytics tools make a difference:

• Understand user needs: by seeing which features are used most, you can focus on what matters to your users and identify areas for improvement.
• Track feature impact: when you release a new feature, analytics tools let you measure its performance and engagement, so you know if it’s achieving the desired results.
• Identify opportunities and issues: analytics can reveal opportunities for growth (like popular user flows to expand on) and pinpoint areas where users may be struggling.

Analytics tools ultimately help product managers validate ideas, optimize the user journey, and build a product that aligns with user expectations. They make it easier to take an informed approach to decision-making, guiding the product toward better engagement and retention.

Key features to look for in a product analytics tool

Choosing the right analytics tool depends on the features it offers and how well they align with your product goals. Here are some essential features to look for in a product analytics tool:

• Event tracking: this allows you to track specific user actions like clicks, logins, or completed purchases. It’s a must-have for understanding what users are doing within your product.
• Cohort analysis: with cohort analysis, you can group users based on shared behaviors or characteristics, such as the date they signed up. This helps you track how specific user groups are interacting with your product over time.
• A/B testing: some analytics tools let you run A/B tests, which can be invaluable for testing new features or UI changes. By comparing different versions, you can see which option works best before a full rollout.
• Dashboards and reporting: a clear, customizable dashboard gives you quick access to the most important metrics, and reporting features let you share insights easily with the rest of your team.
• Integration with other tools: look for a tool that integrates with your existing workflow. For example, tools that integrate with feature management platforms like Tggl allow you to seamlessly track the impact of feature flags, making it easier to monitor new releases.

These features can give you a comprehensive view of user behavior, helping you understand what’s working well and where you can make improvements.

Top product analytics tools for 2025

Now that we’ve covered what to look for in an analytics tool, let’s explore some of the top options available in 2025. Each of these tools offers unique strengths for product managers:

1. Amplitude

Amplitude is known for its powerful behavioral analytics capabilities. It provides deep insights into user behavior, allowing you to track events, analyze cohorts, and understand how users are engaging with different features. Amplitude is especially valuable for tracking the long-term impact of changes, such as feature adoption and retention rates.

Best for: Teams focused on understanding user journeys and improving feature engagement.

2. Pendo

Pendo combines analytics with in-app messaging and user feedback, making it an all-in-one tool for customer experience management. Pendo’s analytics help you track user behavior and segment audiences, while its in-app guides and feedback tools allow for direct user engagement. This tool is great for product managers looking to integrate customer feedback into their product strategy.

Best for: Teams that want to gather user feedback alongside analytics to create a more customer-focused experience.

3. Mixpanel

Mixpanel excels in tracking conversion and user engagement. It’s especially useful for teams that need a clear view of how users move through conversion funnels and where drop-offs happen. Mixpanel’s event-based tracking system allows for detailed segmentation, so you can analyze behavior across different user groups.

Best for: Teams focused on optimizing conversions, identifying drop-offs, and improving user engagement.

Each of these tools offers strong capabilities for product managers. Depending on your needs, you can choose the one that best aligns with your goals and provides the insights necessary to make impactful product decisions.

How to choose the right tool for your product

Selecting the right product analytics tool depends on several factors, from the specific needs of your team to your overall product goals. Here are some tips to help you make the best choice:

• Define your key metrics: start by identifying which metrics matter most to your product—whether it’s user engagement, feature adoption, or conversion rates. Choose a tool that offers strong tracking and analysis for those specific metrics.
• Consider team size and budget: some tools are better suited for larger teams and come with advanced (and sometimes costly) features, while others are more affordable and streamlined for smaller teams. Weigh the costs against the value the tool brings to your team’s workflow.
• Look for integrations: if your team already uses other tools (like Tggl for feature management), look for a product analytics tool that integrates with them. Seamless integrations save time and ensure that your analytics and product management workflows are aligned.
• Test for usability and support: some tools offer free trials, so you can explore the interface and features to see if it’s easy to use and aligns with your team’s needs. Check for accessible support options as well—having a reliable support team can make a big difference.

By considering these factors, you can choose an analytics tool that best fits your team’s requirements, empowering you to make data-driven decisions that have a real impact on your product’s success.

Other essential tool for product managers: Tggl

While analytics tools provide valuable insights, they’re only part of the picture. Feature management is another important area where product managers need control and flexibility. Tggl is a feature management tool that empowers product managers to control releases, conduct experiments, and make adjustments to features in real-time.

With Tggl, product managers can:

• Take ownership of releases: decide when and how to roll out new features, without relying on developer intervention.
• Run experiments: use A/B testing and feature toggling to validate ideas and measure user response.
• Integrate with analytics: Tggl integrates with tools like Amplitude, allowing you to seamlessly track the impact of feature changes and better understand how they affect user behavior.

By pairing Tggl with a strong analytics tool, product managers can create a more holistic approach to product management—one that combines insights from user behavior with the power to act on those insights in real-time.

Conclusion

Data-driven decisions are the foundation of effective product management, and having the right tools makes all the difference. Analytics tools like Amplitude, Pendo, and Mixpanel provide product managers with the insights needed to understand user behavior, track feature success, and improve the user experience.

Choosing the right product analytics tool depends on your team’s goals, the metrics that matter most to your product, and the integrations that support your workflow. For a well-rounded toolkit, pairing an analytics platform with a feature management tool like Tggl enables product managers to act on insights instantly—launching, adjusting, and optimizing features based on real-time data.

With the right tools, product managers can turn data into actionable insights, making confident, informed decisions that drive product success in 2025 and beyond.