Pixel-perfect session replay
Records sessions and reconstructs the user experience with full DOM playback so teams can review clicks, scrolls, rage clicks, and form input.
A reprodução de sessões com AI da Flowsery registra as sessões dos usuários, sinaliza os problemas que causam dificuldades e abandonos e ajuda as equipes de produto a analisar os momentos exatos em que ocorrem. Ela faz parte de uma plataforma mais abrangente de analytics de produto, com funis, fontes de tráfego e atribuição de receita.
Flowsery’s AI session replay is a session-recording and analytics feature that helps product teams see why users leave. It records sessions automatically, then uses AI to identify the sessions most likely to contain bugs, friction, or drop-offs.
The product pages position it as part of a broader analytics platform that also includes traffic source analysis, funnels, audience tracking, and revenue attribution. The replay workflow is designed to take teams from a recorded session to a ranked issue, a reproduction path, and the exact moment the problem occurred.
Records sessions and reconstructs the user experience with full DOM playback so teams can review clicks, scrolls, rage clicks, and form input.
Automatically scans recorded sessions for rage clicks, JavaScript errors, dead clicks, and drop-offs, then ranks them by how many sessions they affect.
Provides plain-English summaries, steps to reproduce, and affected sessions so teams can move from observation to action faster.
Lets users jump straight to the exact timestamp where a problem occurred instead of scrubbing through the entire replay.
Captures sessions automatically on every plan, with no extra code or configuration called out on the product pages.
Connects replay with broader analytics context such as traffic sources, audience, and conversions, based on the product pages' navigation and feature sections.
Use recorded sessions and AI-ranked issues to understand why checkout, signup, or payment flows are failing without manually reviewing every replay.
Review deep-linked replays and reproduction steps to hand engineering a concrete starting point for fixing the issue that actually affected users.
Scan for rage clicks and dead clicks to identify interfaces that look interactive but are not responding as expected.
Combine replay with traffic source, audience, and funnel context to connect behavior changes to where visitors came from and how they progressed.
Use automatic capture and ranked issue lists to monitor sessions continuously rather than sampling only a handful of recordings.
Flowsery’s AI session replay records sessions automatically and uses AI to surface issues such as rage clicks, JavaScript errors, dead clicks, and drop-offs. The product pages also say you can jump to the exact moment an issue happened in the replay.
The source says the replay is available with zero code and zero config, and that sessions are captured automatically on every plan.
The replay focuses on turning recorded sessions into ranked, reproducible issues with a plain-English summary, steps to reproduce, and a deep link to the relevant moment in the replay.
The pages describe Flowsery as cookie-free and privacy-first, with GDPR/CCPA/PECR compliance claims on the analytics pages and no cookies, no IP storage, and no fingerprinting on the privacy section.
The pricing and feature pages indicate a 14-day free trial, a Pro plan with included usage limits, and custom plans for teams above those limits or with specific compliance requirements.
Os dados de tráfego são apenas para referência.
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