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

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A FullStory dashboard showing increased bounces
Deep Dive

What is bounce rate? And how do you improve yours?

Bounce rate is one of the most basic—and misunderstood—metrics in web analytics. Here are answers to the most common bounce rate questions.

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Blog Post

Consumer survey: 4 things UK companies need to know

Consumers in the UK share how they feel about digital experiences and how they’re changing their spending habits in 2023.

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A conversion rate analysis in the FullStory app
Deep Dive

What is conversion rate optimization? How to optimize your way to success

A comprehensive guide to conversion rate optimization, how important it is, and how you can use it to boost your bottom line.

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User analytics dashboard in FullStory
Deep Dive

What is user analytics? An in-depth guide to user analysis

Metrics can be hugely helpful when trying to get a handle on user behavior. Unfortunately, many businesses don’t leverage that power and instead make decisions based on incomplete data.

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Blog Post

Consumer survey: 4 important findings for Australian companies

Our global consumer survey uncovers what Australians love—and hate—about digital experiences.

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A hand collecting data
Blog Post

User retention metrics 101: The most important metrics to use

There are many ways execute of a user retention strategy, but it won't mean much unless you know which metrics to track.

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Customer Story

Mammut increases conversions with customer-centric pathfinding design

Mammut proactively identifies and addresses issues that deter customer engagement with Digital Experience Intelligence from FullStory.

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Blog Post

6 global spending trends to watch in 2023

A global consumer survey reveals the industries that will be hit hardest by reduced consumer spending in the face of economic uncertainty.

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Funnel completion and drop-off in the past 30 days
Deep Dive

What is A/B testing? And why is it so important?

A/B testing is the process of comparing two versions of the same product to determine which is the most compelling for users. Learn more about A/B testing here.

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