FullStory helps us understand our user behaviors and identify bugs!
We use Fullstory in our organization to identify pain points our customers are having, technical problems within the platform, and to …
Overview
What is Fullstory?
Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.
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Popular Features
- Session Recording and Replay (48)9.797%
- User Segmentation (43)8.787%
- Heatmap tool (37)8.181%
- Click analytics (44)7.777%
Reviewer Pros & Cons
Pricing
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Cloud
Enterprise
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Cloud
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://www.fullstory.com/plans
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
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Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Fullstory?
Fullstory is a behavioral data platform that surfaces the sentiment buried between clicks, revealing the untold story behind consumer behaviors. From building better fraud detection and forecasting to creating personalization that genuinely resonates, Fullstory enables product, engineering, and data teams to connect sentiment signals with other data sources to intentionally design the next best action. Providing deeper and more immediately actionable insights beyond conventional web and product analytics that can only surface what’s happening but not why, the Fullstory behavioral data platform aims to provide the context needed to build in-the-moment experiences that drive revenue.
With automatically captured, indexed, and semantically structured first-party data— served up to the organization's data ecosystem or through Fullstory's product analytics with session replay, Fullstory’s behavioral data is ready-made for AI. Teams can spend less time analyzing and more time with in-the-moment personalized experiences and accurate predictions based on real-time actions and data.
With automatically captured, indexed, and semantically structured first-party data— served up to the organization's data ecosystem or through Fullstory's product analytics with session replay, Fullstory’s behavioral data is ready-made for AI. Teams can spend less time analyzing and more time with in-the-moment personalized experiences and accurate predictions based on real-time actions and data.
Fullstory Features
Customer experience management Features
- Supported: Product usage analytics
- Supported: Customer experience profiles
- Supported: Customer experience dashboard
- Supported: Customer journey mapping
- Supported: AI-powered recommendations
- Supported: Multi-channel customer feedback collection
Results and Analysis Features
- Supported: Heatmap tool
- Supported: Click analytics
- Supported: Scroll maps
- Supported: Form fill analysis
- Supported: Conversion tracking
- Supported: Goal tracking
- Supported: Funnel Analysis
- Supported: Session Recording and Replay
- Supported: User Segmentation
Mobile Capabilities Features
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
- Supported: Mobile App Analytics
Security and Administration Features
- Supported: Platform single sign-on (SSO)
- Supported: GDPR compliance
- Supported: Secure web hosting
- Supported: Audit logs
Fullstory Screenshots
Fullstory Video
Fullstory behavioral data analytics
Fullstory Integrations
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Fullstory Competitors
Fullstory Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | Apple iOS, Android, Windows Phone, Mobile Web |
| Supported Languages | English |
Frequently Asked Questions
Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.
Reviewers rate Session Recording and Replay highest, with a score of 9.7.
The most common users of Fullstory are from Mid-sized Companies (51-1,000 employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Recommendations
FullStory is a versatile tool that is relied upon by various teams, including customer support, product management, engineering, and sales, to track user interactions, identify pain points, troubleshoot issues, and improve the overall user experience. Customer support teams find FullStory helpful in investigating and understanding customer experiences on their websites or apps. The software's segmentation feature allows users to assess user interactions with web pages and identify areas for improvement. Product managers depend on FullStory to understand how users interact with features and identify pain points. Engineering teams benefit from FullStory's console events tracking feature when resolving bugs. Additionally, FullStory complements Google Analytics by providing detailed insights into user activity on each page, enhancing the customer experience. UX researchers utilize FullStory's heatmapping feature to gain a comprehensive understanding of how consumers interact with experiences. Overall, FullStory is a valuable tool that empowers businesses to improve customer experience and optimize their product offerings.
Based on user reviews, the most common recommendations for FullStory are to utilize its metrics tools and session playback, compare it to other tools to ensure it meets all needs, and approach it with a specific goal or hunch in mind.
Users suggest taking advantage of FullStory's metrics tools and session playback feature to gain insights into user behavior and prioritize necessary changes. They also advise comparing FullStory to alternative tools to evaluate which features and pricing structures align best with their requirements. Additionally, users recommend approaching FullStory with a specific goal or hypothesis in mind to make the most of its capabilities. These recommendations can help users understand how FullStory can support their team and enhance their understanding of user interactions.
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