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8 SaaS Dashboard Examples to Track Key Metrics

Userpilot

When it comes to product management, you need to look at different SaaS dashboard examples to see what kind of product analytics you can measure, and how. So what are the most important types of dashboards and which ones are the best for you? Ready to transform your data into actionable insights?

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12 KPIs to Measure and Improve Your Fintech App Onboarding

The Product Coalition

Chances are the ones you frequently use have a simple, intuitive app onboarding process. If you’re a financial services product manager, you’ll know that crafting an effective fintech app onboarding process is no small feat. Effective onboarding is also necessary to set your users up to use your app successfully.

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5 Essential Types of Product Metrics to Track For SaaS [+ Metric Lists]

Userpilot

Want to track the different types of product metrics to get product growth insights ? Product metrics are critical for product growth managers to develop the right product strategies and drive continuous value for customers. You can also use a product metrics framework, ie.

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What is User Engagement Analysis? Top 9 Metrics to Track

Userpilot

What metrics you should track? TL;DR User engagement is a measure of how active your users are inside the product and how good the product is at keeping them interested. The latter is only limited to user behavior within the product. User engagement focuses on how users interact with the product.

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9 Best Onboarding Platforms for SaaS Companies

Userpilot

What are the best onboarding platforms available on the market in 2024? Are you looking for an onboarding solution for web or mobile apps? Do you need it to support customer or employee onboarding processes? Are you after specific features to support your onboarding tasks? This depends on your use case.

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Analytics vs Metrics: What’s the Difference and How to Analyze Metrics?

Userpilot

Analytics vs metrics – how do they differ from each other? Though both are important, analytics and metrics have distinct meanings and purposes in your data analytics process. Understanding the nuances between them is critical to utilize them to improve your feature adoption , customer behavior, etc.

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Insights: Using product analytics to find metrics that predict retention

Mixpanel

Let me jump right in: With product analytics, customer retention isn’t just something you measure after the fact; it should be something you can learn to predict (and then improve). How could a product manager possibly dig into the data and pull up something that’s genuinely useful for activation and retention?