Flowsery icon

Flowsery

Flowsery AI Session Replay records web sessions, uses AI to flag bugs and drop-offs, and helps product and engineering teams review the exact moment a problem occurred. It is part of Flowsery’s broader web analytics platform.

Flowsery

AI session replay for product analytics and debugging

Flowsery AI Session Replay is a web analytics feature that records user sessions and uses AI to surface the bugs, errors, and drop-offs that appear to drive churn. The page positions it for product and engineering teams that need to understand what happened in a session without manually reviewing every recording.

The product is presented as part of Flowsery’s broader analytics platform, not a standalone replay tool. The pricing page includes real-time analytics, goal tracking, funnel analysis, revenue tracking, custom events, and API access alongside session recording and AI analysis, suggesting replay is one piece of a larger product analytics workflow.

Core capabilities

Pixel-perfect session replay

Flowsery records sessions and reconstructs them in full DOM playback, so users can watch clicks, scrolls, and rage clicks as they happened instead of reviewing screenshots.

Automatic capture and setup

The page states that playback works with zero code and zero config, and automatic capture is included on every plan.

AI issue detection and ranking

AI reviews recorded sessions and flags rage clicks, JavaScript errors, dead clicks, and drop-offs, then ranks them by how many sessions they affect.

Repro-ready issue output

Each issue includes a plain-English summary, steps to reproduce, and a deep link to the exact timestamp in the replay.

Timestamp-based navigation

The replay view is built to help teams skip directly to the relevant moment rather than watching entire recordings end to end.

Part of a wider analytics platform

The pricing page says Flowsery includes goal tracking, funnel analysis, revenue tracking, custom events, and a full API, indicating session replay sits within a broader analytics product.

Practical ways teams use it

  • Debugging and issue triage

    Use the replay to inspect the moments where users encounter rage clicks, dead clicks, JavaScript errors, or drop-offs, then move from a ranked issue list to the exact session state that produced the problem.

  • Churn and funnel analysis

    Review sessions tied to conversion or signup drop-offs to understand where users leave and which interaction pattern is most likely blocking progress.

  • Reproducible bug investigation

    Watch the exact interaction sequence leading to a bug so QA or engineering can reproduce it without asking the user to explain the problem in detail.

  • Team collaboration around incidents

    Use the issue summaries, timestamps, and affected sessions to share context across product and engineering instead of relying on a manual replay review.

  • Product analytics workflows

    Combine replay with the broader analytics features on the pricing page, such as goals, funnels, revenue tracking, and custom events, to connect session behavior with product outcomes.

Pros and Cons

Pros

  • Records every session and provides full DOM playback rather than screenshots.
  • AI summarizes issues in plain language and includes steps to reproduce them.
  • Issues are ranked by how many sessions they affect, which helps teams prioritize higher-impact problems.
  • The replay can jump directly to the exact moment an issue occurred.
  • The pricing page shows a self-serve plan with a 14-day free trial and no credit card required to start.
  • The product is presented as cookie-free and GDPR compliant on the page.

Cons

  • The source does not show detailed integration partners or export destinations beyond a full API.
  • Session replay is described as part of a broader analytics platform, so teams looking for only a standalone replay tool may need to evaluate the wider product scope.
  • Some implementation and privacy details are present, but the source does not provide a full technical or compliance specification beyond cookie-free and GDPR-compliant wording on the page.

FAQ

What is AI session replay in Flowsery?

Flowsery’s AI session replay is a session replay feature inside its web analytics product. It records sessions, analyzes them with AI, and surfaces the issues and drop-offs that appear to affect users most.

What issues does the AI detect automatically?

The page says the AI flags rage clicks, JavaScript errors, dead clicks, and drop-offs, then ranks them by how many sessions they affect.

Do I need to add extra code to record sessions?

No. The feature is described as recording sessions with zero code and zero config, and the pricing page says you can add one line of code to your site and start seeing data in minutes.

Can I jump to the moment an issue happened?

Yes. The replay includes a deep link to the exact moment an issue happened, so teams can jump straight to the relevant timestamp.

How many sessions are recorded and analyzed?

The source says Flowsery records every session, while the AI reviews every recorded session. The pricing page also describes included session recording and AI session analysis volumes on the Pro plan.

Quick Facts

Category
Web analytics / session replay
Platform
Cloud-hosted web product
Primary users
Product and engineering teams
Source domain
flowsery.com
Pricing shape
Self-serve Pro plan with 14-day free trial; custom pricing for teams above the Pro limits
Notable workflow
Record sessions, let AI flag issues, then jump to the affected timestamp and reproduce the problem

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