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Description
User behavior replays assisted by AI uncover UX challenges and deliver practical insights for improvement. These replays illustrate users' actions, contexts, and intentions, surpassing conventional event-tracking methods. They automatically extract and summarize pivotal moments from each session while pinpointing UX issues and suggesting enhancements. It's akin to being right beside the user, gaining a firsthand perspective of their interaction with the interface. Furthermore, you can analyze click data without the need for event tracking setup, as it gathers all interactions automatically. By posing straightforward questions, you can access insights on user behavior and easily locate the specific replay you wish to analyze. Experience reports, generated through AI and extensive data analysis, help identify user experience flaws effectively. The service is currently in its beta phase, offering 100K sessions per month at no cost; should you require additional sessions, don’t hesitate to reach out. Additionally, you maintain full control over privacy settings, allowing you to prevent any unwanted data collection, ensuring a tailored and secure user experience. By leveraging these tools, organizations can significantly enhance their understanding of user interactions and foster a more intuitive design approach.
Description
Logcohort serves as a session replay tool tailored for product teams, allowing them to observe real-time interactions within their web applications, identify user pain points, and provide engineers with the insights necessary to resolve issues efficiently. Each session replay integrates console logs and network activity alongside the visual playback, enabling users to link directly to specific moments that highlight errors or failed requests. The platform automatically identifies problematic interactions like rage clicks, dead clicks, and error clicks, while offering the ability to search sessions by various criteria such as URL, error messages, or user interactions; it also provides valuable page metrics, including views, time spent, clicks, errors, and exit rates through its Page Insights feature. Ensuring user privacy, Logcohort masks input values directly in the visitor's browser before any data is sent, and it does not capture request or response bodies. The installation process is straightforward, requiring just an 8-line code snippet or a Google Tag Manager tag. Their free plan allows for up to 1,000 sessions per month, offering all features with unlimited users and projects, and no credit card is necessary to sign up. Paid plans start at $29 per month and vary based on the volume of sessions and data retention options available, making it accessible for teams of all sizes. This flexibility ensures that product teams can effectively leverage user insights to enhance their applications and overall user experience.
API Access
Has API
API Access
Has API
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Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free; paid from $29/month
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
Stey.ai
Website
stey.ai/
Vendor Details
Company Name
logcohort
Founded
2026
Country
Turkey
Website
logcohort.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
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation