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Average Ratings 0 Ratings
Description
Flowsery is an automated AI session replay tool designed to detect bugs efficiently. It monitors every user interaction, automatically identifying rage clicks, dead clicks, and errors, while providing your team with insights into what went wrong and the reasons behind it, eliminating the need for manual review of recordings.
When an issue arises, Flowsery prioritizes it based on its impact, issues an alert complete with a replay link and steps for replication, and even generates a draft fix for your team to evaluate, all while seamlessly creating a ticket in Linear or Jira with just one click. Additionally, it features an extensive web analytics suite, offering real-time insights into traffic, revenue by source, conversion funnels, objectives, and user journeys, all conveniently displayed on a single dashboard.
Developed in Europe, Flowsery operates without relying on cookies or consent banners, making it an ideal solution for product and engineering teams eager to quickly understand why users abandon their experience and address issues promptly. This comprehensive approach ensures that teams can enhance user satisfaction efficiently.
Description
Enhance your website and elevate the customer experience with UserReplay, a tool that identifies and addresses customer pain points swiftly. This customer experience platform utilizes machine learning to provide high-quality session replays, offering a wealth of insights about user interactions. It features adaptable, real-time data dashboards customized for the specific workflows of various teams. Through machine learning-driven segments, you can group your most critical sessions effectively. UserReplay's smart segments and dashboards are designed to automatically uncover issues that may be impacting your revenue. Equip every member of your digital teams with tailored, real-time alerts regarding revenue risks that can be sent to their preferred platforms. For instance, if there's a decline in mobile conversions, your Chief Revenue Officer and marketing teams will be notified. Similarly, alerts will be sent to your category manager and development teams when new broken links are detected, while your Head of Ecommerce and Customer Service teams will be informed if there is a dip in your personalized CX Score. This proactive approach ensures that potential issues are addressed promptly, helping to maintain a seamless customer experience.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Boostopia
ClickSend
ComplianceBoard
Gmail
Google Analytics
Jira
Microsoft Teams
Slack
Trello
Zapier
Integrations
Boostopia
ClickSend
ComplianceBoard
Gmail
Google Analytics
Jira
Microsoft Teams
Slack
Trello
Zapier
Pricing Details
$250
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Flowsery
Founded
2026
Country
Poland
Website
flowsery.com
Vendor Details
Company Name
UserReplay
Founded
2009
Country
United States
Website
userreplay.com
Product Features
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation
Product Features
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation
Alternatives
No Alternatives