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.
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.
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.
The page states that playback works with zero code and zero config, and automatic capture is included on every plan.
AI reviews recorded sessions and flags rage clicks, JavaScript errors, dead clicks, and drop-offs, then ranks them by how many sessions they affect.
Each issue includes a plain-English summary, steps to reproduce, and a deep link to the exact timestamp in the replay.
The replay view is built to help teams skip directly to the relevant moment rather than watching entire recordings end to end.
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.
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.
Review sessions tied to conversion or signup drop-offs to understand where users leave and which interaction pattern is most likely blocking progress.
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.
Use the issue summaries, timestamps, and affected sessions to share context across product and engineering instead of relying on a manual replay review.
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.
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.
The page says the AI flags rage clicks, JavaScript errors, dead clicks, and drop-offs, then ranks them by how many sessions they affect.
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.
Yes. The replay includes a deep link to the exact moment an issue happened, so teams can jump straight to the relevant timestamp.
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.
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