Resources

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

Filter by Role
Filter by Industry
Blog Post
Blog Post

5 steps to size up digital experience privacy

If you’re evaluating privacy in your stack of digital experience tools, follow these five steps to see if you’re employing current best practices.

Read the post
Blog Post

5 rapid-fire A/B testing tactics for digital experience

A/B testing is utilized by teams of all stripes for quick experimentation. Learn how DXI tools can take these tests a step deeper.

Read the post
Blog Post

Product roadmap alignment and buy-in: Tips for product managers

Sanity-saving ways product managers can use data to keep cross-functional teams in sync by focusing on people, processes, and tools.

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

Aligning systems with Digital Experience Intelligence

By adding agility to your tech toolkit, best-in-class DXI platforms reveal your biggest digital experience opportunities while uniting siloed teams.

Read the post
Blog Post

8 website heatmap examples to better your bottom line

Heatmaps can provide rich information about your website. Here, we explore examples of 8 great heatmaps and use them as inspiration for web strategy.

Read the post
Blog Post

4 ways to improve your holiday shopping experience, according to consumers

We surveyed 1,600+ US consumers to find out how and where they plan to shop for holiday gifts—plus what they expect from retailers.

Read the post
Blog Post

The death of identity: Knowing your customer in the age of data privacy

As privacy demands grow, businesses have the chance to rethink their relationship with customer data to focus on first-party and behavioral data.

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

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