Zipy review

Zipy is an AI debugging and product analytics platform for web and mobile teams. Its homepage describes a single workflow for reviewing session replays, investigating errors, monitoring performance, and understanding product usage. Instead of treating a JavaScript error as a standalone event, teams can use replay alongside DOM, console, and network logs to inspect what a user was doing around the time of an issue, according to the product description.

Zipy also markets Oopsie AI, which summarizes sessions, flags possible friction, and suggests reproduction steps. Its analytics cover behavior, adoption, and trends for B2B and B2C products; heatmaps and signals such as rage clicks and dead clicks are intended to show where interactions go wrong. The pricing page lists some capabilities, including Oopsie AI and API performance, as add-ons, so the feature set available at a given price needs checking. Zipy offers a free plan and paid Growth and custom Enterprise plans.

Zipy’s main appeal is the combination of debugging context and product behavior data. Session replay can include DOM, console, and network logs, while error tracking covers JavaScript and API errors with stack traces and network logs, according to the published product details. That gives teams several sources of evidence to inspect when tracking down a user-reported problem.

The AI layer is aimed at reducing the manual work of reviewing sessions: Oopsie can summarize actions, point to potential frustration, and suggest steps to reproduce an issue, according to the homepage. Product analytics, funnels, and heatmaps extend the use case beyond debugging to adoption and usability. The homepage also describes Oopsie AI as monitoring sessions and errors to surface issues for prioritization.

The Free plan is a low-commitment way to assess the product: the pricing page lists 1,000 sessions per month, 15 days of data retention, up to two projects, unlimited users, and email support with a 72-hour SLA. Growth raises the listed allowance to 7.5k–500k sessions per month, with one month of retention, up to 10 projects, and a 24-hour email support SLA. Those are useful limits to compare against expected traffic before switching.

The main drawback is that the headline Growth price does not tell the whole cost story. The pricing page lists Growth at $25 per month when billed annually or $30 month to month, but marks rule-based alerts, Oopsie AI, API performance, and Funnels as add-ons. Their prices are not published, and the configurator says add-on prices vary with selected session volume. We would confirm the total with Zipy before comparing it with a current stack.

The plan caps also matter. Free stops at 1,000 sessions per month, 15 days of retention, and two projects. Growth spans 7.5k–500k sessions per month, but the published pricing details do not specify where each volume tier’s price lands. Enterprise is custom-priced, with session volume and retention tailored to the contract; there is no published starting price. The pricing information also lists a 14-day free trial, but does not specify its terms here. Teams that need longer retention, more projects, or predictable add-on costs may have to ask sales for specifics before budgeting.

According to the pricing page, Zipy has a free plan, a 14-day free trial, and paid plans priced per month. Free is $0 and includes 1,000 sessions a month, 15 days of data retention, and up to two projects. Growth is listed at $30 monthly, or $25 a month when billed annually. It covers 7,500–500,000 sessions a month, one month of retention, and up to 10 projects. That is a substantial step up from Free, especially if you need more than 1,000 sessions.

The headline price does not tell the full story: rule-based alerts, Oopsie AI, API performance, and Funnels are listed as add-ons, but their prices are not published. The configurator says add-on prices vary by session volume. Enterprise has custom pricing, with any session volume and custom retention. All plans list unlimited users, but support SLAs differ: 72 hours on Free, 24 on Growth, and six hours on Enterprise. Get a quote for the features and volume you need before comparing totals.

Zipy combines session replay, error tracking, performance monitoring, and product analytics, so switching means checking how your team currently captures those signals—not just replacing a replay tool. The published information does not specify migration tooling, data import or export formats, or whether historical sessions can be moved. Ask Zipy what you can export, in what format, and whether your existing instrumentation needs changes before treating past data as portable.

The same gaps matter if you leave. Confirm what happens to stored sessions and analytics after cancellation, and whether you can retain or export them. That is particularly relevant if you rely on longer history: Free lists 15 days of retention, while Growth lists one month; Enterprise retention is custom. We don’t have Reddit published material here that supports a claim about why users leave Zipy, so we won’t attribute a migration pattern to Reddit. Public user feedback is flagged as a weakness in our assessment, making direct answers on portability and cancellation worth getting in writing.