Resources

Tips, tutorials, guides, and product insights from FullStory’s Digital Experience Intelligence experts

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An example of a product analytics dashboard showing checkout conversion rates.
Deep Dive

What is product analytics? Your ultimate guide

A comprehensive guide to product analysis and analytics platforms, how important they are, and why they’re a valuable asset for your bottom line.

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Data in the FullStory platform, including rage click and subscribers.
Deep Dive

What is quantitative data? How to collect, understand, and analyze it

A comprehensive guide to quantitative data, how it differs from qualitative data, and why it's a valuable tool for solving problems.

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Blog Post

Qualitative data: Examples and how to use it

Learn how to analyze qualitative data. We show examples of how to collect, organize, and analyze qualitative data to gain insights.

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Blue ripples
Deep Dive

How to understand, use, and build customer journey maps

A customer journey map is key to building a solid marketing strategy. We cover everything you need to know about customer journey maps, their different types, examples, and the steps to making your own.

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Video

Why Digital Experience Intelligence works for retail teams

How leading online retailers use DXI to continuously optimize the digital customer experience.

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A number sign
Blog Post

Quantitative data examples to help you understand how to take action

Quantitative data is used for calculations or obtaining numerical results. Learn about the different types of quantitative data uses cases and more.

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Blog Post

Categorical vs. quantitative data: The difference plus why they’re so valuable

Categorical & quantitative variables both provide vital info about a data set. But each is important for different reasons and has its own pros/cons.

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Blog Post

Best practices for enhancing digital experience with analytics | Qualtrics

Learn best practices for using digital analytics to design exceptional customer experiences in this guide.

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Blog Post

Qualitative vs. quantitative data: what's the difference?

Qualitative and quantitative data differ on what they emphasize—qualitative focuses on meaning, and quantitative emphasizes statistical analysis.

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