What Is Flowganise? Real-Time Web Analytics with AI Issue Detection and Session Replay

Flowganise is a real-time web analytics and session replay platform that uses AI to detect on-site issues and recommend fixes. It combines analytics, session recordings, and heatmaps in one tool, and prices by session rather than by event, so teams can see exactly what visitors do and why conversions are lost.

What is Flowganise?

Flowganise is an analytics product for website and web-app teams who want more than pageview counts. Instead of leaving you to interpret dashboards on your own, it watches for problems automatically, broken funnels, rage clicks, drop-off points, and surfaces them with a plain-language explanation and a suggested fix.

In short, Flowganise answers three questions for any website:

What is happening? Real-time traffic, sessions, sources, and conversions.
Why is it happening? Session replays and heatmaps that show the actual behavior behind the numbers.
What should I do about it? AI-detected issues paired with concrete, prioritized fix suggestions.

Key features

Real-time web analytics. Live visitor, traffic-source, and conversion data, updated as it happens.
Session replay. Watch real recordings of user sessions to understand friction, hesitation, and errors.
Integrated heatmaps. Click, scroll, and attention maps that sit alongside replays and analytics rather than in a separate tool.
AI issue detection with fix suggestions. Flowganise flags drop-offs and UX problems automatically and proposes specific changes to address them.
SPA-friendly tracker. A lightweight script that tracks single-page applications and client-side navigations correctly, not just full page loads.
Privacy by default. Form inputs are masked in recordings out of the box, helping teams stay aligned with GDPR and protect personally identifiable information.

How Flowganise is different

Most teams stitch together a separate analytics tool, a separate replay tool, and a separate heatmap tool, then still have to interpret everything manually. Flowganise is built around a few deliberate differences:

AI does the interpretation. It does not just record data, it tells you where the problems are and how to fix them.
One integrated view. Analytics, replays, and heatmaps share the same sessions, so you move from a number to the recording behind it in one click.
Session-based pricing. You pay for sessions, a unit that maps to real usage, instead of being penalized for event volume.
Made for modern web apps. The SPA-friendly tracker captures client-side routing accurately, which traditional pageview-based tools miss.

Who is Flowganise for?

Flowganise is built for product teams, growth and marketing teams, founders, and agencies who run conversion-focused websites and web applications and want to understand and improve user behavior without assembling a stack of disconnected tools.

Is Flowganise privacy-friendly?

Yes. Session replays mask all form inputs by default, so sensitive data entered by visitors is not captured. This privacy-first default is designed to help teams meet GDPR expectations while still getting useful behavioral insight.

Frequently asked questions

What does Flowganise do? Flowganise provides real-time web analytics, session replay, and heatmaps, and uses AI to automatically detect on-site issues and suggest fixes.

How is Flowganise different from traditional analytics tools? It unifies analytics, replays, and heatmaps in one product and adds AI-driven issue detection with fix recommendations, rather than leaving interpretation to the user. It also prices by session and tracks single-page applications correctly.

Does Flowganise support single-page applications (SPAs)? Yes. Its tracker is designed to capture client-side navigation in SPAs accurately, not only traditional full page loads.

How does Flowganise handle privacy? All form inputs are masked in session recordings by default, supporting GDPR compliance and protecting personally identifiable information.

How is Flowganise priced? Flowganise uses session-based pricing, so cost reflects real usage rather than raw event volume.