The behavioral data tool you
need to build better
digital experiences
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FullStory is a utility plug-in that can record the operational behaviors of independent consumers and classify these behaviors, and the seller can replay the entire operation process of consumers in the independent station, as well as monitor their specific behaviors, and then locate the details of the independent station by analyzing the behavioral replay.
FullStory provides the embedded code, the code is embedded in the independent station, it can automatically record the consumer's behavior screen, in addition to recording screen, it also provides the consumer's single point behavior record data, such as the consumer's click, swipe, jump behavior when browsing the page. And FullStory can also connect these single points of behavior and tease out their behavior path logic.
Scale insights across your business with unified metrics.
FullStory gives you visibility into every step users take
Product analytics
Track the metrics most crucial to your business goals with easily customizable dashboards, conversion analysis and more.
Qualitative insights
Watch problems exactly how they played out with Session Replay and Heatmaps–without compromising user privacy.
Your data ecosystem
Sync FullStory data with your warehouse to map the entire omnichannel experience and see every path that brings customers to conversions.
“If you really want to build a customer-centric product, you need FullStory.”
Greg Kaplan, Product Manager, Digital Experience, JetBlue
React faster
01 Challenge
A mobile product manager notices a dip in free trial signups in the dashboard she keeps pinned to her FullStory homepage. She filters by device and sees higher drop-off rates for iOS users.
02 Solution
After watching a few sessions from this cohort, she notices Rage Clicks on a crucial button in the signup flow. She uses Jira and Slack integrations to share this with the mobile developers and get a fix in the works right away.
Build better
01 Challenge
An engineer suspects their site’s speed is causing bottom line-impacting issues. To test their hunch, they use FullStory to compare site visitors who see loading spinners for longer than 4 seconds with everyone else.
02 Solution
The engineer sees that site visitors with loading spinners over 4 seconds are converting at a much lower rate. By assigning a Revenue Per Visit to that cohort, they can show exactly how much the loading spinner times cost the company.
Empathize fully
01 Challenge
Before using FullStory, a customer support specialist goes back and forth several times with customers–sometimes over the course of several days–to understand the issue they are having, make a correct diagnosis, and find a resolution.
02 Solution
Now when customers have issues, he uses FullStory to watch their user sessions. With this full context, he can quickly close out tickets and share specifics around bugs with the engineering team to quickly correct the issue.
Optimize accurately
01 Challenge
A campaign manager is tracking what site pages someone visits or whether they’ve come from a campaign using a traditional analytics tool. She’s even instrumented business-critical revenue events. But when conversion rates start to drop, she has no idea why.
02 Solution
Within moments of implementing FullStory, she can watch user sessions to understand their interactions with the landing page. These sessions also automatically surface frustration signals, so she can pinpoint exactly where visitors are dropping off and make the right optimizations.
"Making the unknowns known"
