Resources

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

Filter by Role
Finance & Insurance
Filter by Type
A magnifying glass zooming in on data.
Blog Post

Why is product analytics so important?

We dive into why product analytics is important to customer experience and how you can become better data-informed.

Read the post
fs-guide-mobile-app-optimization-1
Guide

The 8 mobile metrics high-performing teams must track

Optimizing mobile performance for your organization? Use this guide to narrow focus on critical metrics.

Get the guide
A completed customer journey map
Blog Post

How to create a customer journey map

Map out how your customers navigate your website or app—and determine where you need to improve.

Read the post
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.

Read the post
Blog Post

How online mortgage lenders can win the digital experience game

Four ways online mortgage lenders can make their digital experience stand out in the crowd, and how Digital Experience Intelligence helps.

Read the post
Blog Post

What's a scroll map? How to build, analyze, and use scroll maps

See how far users scroll and get stakeholders on the same page when it comes to prioritizing content and features within a given page design.

Read the post
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.

Read the post
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.

Read the post
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.

Read the post

Stay up to date with FullStory by signing up for our newsletter.