Session replay with error context
Zipy combines session replay with error monitoring so teams can inspect what a user saw alongside the technical issue that occurred.
Zipy is an AI session replay, error tracking, analytics, and performance monitoring platform for developers and product teams. It helps teams inspect user journeys, debug issues, and analyze behavior across web and mobile experiences.
Zipy is an AI session replay, error tracking, analytics, and performance monitoring platform for developers and product teams. It is designed to help teams inspect user journeys, identify technical issues, and understand behavior across web and mobile experiences.
Across the site, Zipy is positioned as a unified workspace for debugging and customer-experience analysis. The product combines replay, monitoring, filters, segmentation, and integrations so teams can trace problems from user action to error output and then share or route that context in their existing tools.
Zipy combines session replay with error monitoring so teams can inspect what a user saw alongside the technical issue that occurred.
The homepage highlights product analytics features for creating cohorts, using labels and filters, and monitoring conversions and user behavior.
The product teams page describes real-time Slack alerts and error distribution analytics, helping teams notice and route issues sooner.
Zipy presents heatmaps, page performance, and API performance in its web feature set, giving teams multiple ways to inspect experience and performance.
The pricing and integrations pages show mobile replays, error and crash reporting, and support for integrating session URLs into external tools.
The integrations page lists connections with Sentry, Segment, Rollbar, Raygun, Pendo, Mixpanel, Intercom, Heap, HelpScout, Amplitude, and others.
Use Zipy to replay customer sessions, inspect what happened before an issue, and connect that context to error reports during debugging.
Use Zipy’s analytics and segmentation tools to create cohorts, study adoption patterns, and monitor conversions or drop-offs in product flows.
Use the product teams workflow to follow a user journey end to end, identify friction points, and prioritize the next sprint with evidence from real sessions.
Use Zipy’s collaboration and alerting context to share session links and error information across product, support, and engineering teams.
Use the integrations listed on the site to attach session replay links to tools like Sentry, Segment, Rollbar, Pendo, or Intercom.
Zipy is positioned for developers and product teams that need session replay, error monitoring, performance monitoring, and product analytics in one place. The homepage and use-case pages show it being used to understand customer journeys, debug issues, and monitor user behavior.
The pricing page shows a free plan, a Growth plan, and an Enterprise option. The free plan includes 1,000 sessions per month, 15 days of data retention, and support for up to 2 projects, while paid and enterprise plans add more capacity and features.
Zipy’s integrations page shows native integrations with tools such as Sentry, Segment, Rollbar, Raygun, Pendo, Mixpanel, Intercom, HelpScout, Heap, Errorception, Amplitude, and RB2B. The page also says Zipy currently supports 10+ applications.
The product pages emphasize session replay, error tracking, monitoring, analytics, and team collaboration, but they do not provide full setup documentation or a complete workflow in the collected text. The integrations page and pricing page suggest it can be connected with existing support, analytics, and error-reporting stacks.