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SessionStack
AI-enhanced Digital Experience Analytics for online retailers.

What is SessionStack?

SessionStack offers AI-enhanced Digital Experience Analytics designed primarily for online retailers. It focuses on converting website visitors into customers by providing deep insights into user behavior through session replays. The platform uses AI, specifically SessionStackAI, to analyze user sessions, identify conversion opportunities, and suggest actionable UX optimization tips. It aims to simplify the customer journey to checkout, thereby improving conversion rates and encouraging repeat visits.

SessionStack is built to be lightweight and ensures zero performance impact on web and hybrid applications, supporting various JavaScript frameworks, iframes, and pop-ups. Installation is straightforward via a single code snippet, requiring no further instrumentation. The platform prioritizes privacy, offering users full control over data recording and ensuring PII and sensitive data remain secure within the user's browser. It supports both Cloud and On-premises deployment options to cater to different IT infrastructure and security needs.

Features

  • SessionStackAI: Extracts untapped conversion opportunities and translates them into ready-to-implement UX optimization tips.
  • Session Replay: Provides pixel-perfect recordings of user sessions for detailed analysis.
  • Co-browsing: Facilitates real-time interaction and support.
  • Lightweight Performance: Operates with no impact on page loading, bandwidth, or user experience.
  • Easy Installation: Requires only a single snippet in the web app with no instrumentation needed.
  • Privacy Controls: Offers full control over selecting pages and elements for recording, ensuring PII stays within the user's browser.
  • Integrations: Connects with various team tools.
  • Deployment Options: Available as Cloud or On-premises solution.

Use Cases

  • Optimizing e-commerce conversion funnels.
  • Analyzing user behavior to improve website UX.
  • Identifying and resolving customer journey friction points.
  • Debugging user-reported issues with session replays.
  • Improving customer support through co-browsing.
  • Monitoring new feature adoption and user interaction.
  • Ensuring smooth user experience during website migrations or updates.

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