Flowganise Team · Jun 4, 2026

What Is Flowganise? Commerce Intelligence, Defined

Flowganise is a commerce intelligence platform. It detects friction from ads to checkout, prices each issue in dollars, and prescribes the fix.

Flowganise, a commerce intelligence platform that detects friction from ads to checkout, quantifies revenue loss in dollars, and prescribes fixes

Flowganise is a commerce intelligence platform for online brands. It detects friction across your funnel automatically, quantifies what each problem costs you in dollars per week, and prescribes a specific fix, ranked by revenue impact. No dashboards to interpret. No analyst required. The platform does the diagnosis; you make the decision.

What is Flowganise?

Flowganise is software that answers the question analytics tools leave open: what is my biggest revenue problem right now, in dollars, and what do I do about it?

Traditional tools describe behaviour. They show you funnels, charts, and recordings, then leave the interpretation to you. Flowganise runs the interpretation continuously. It monitors your funnel 24/7, detects anomalies using your site's own statistical baseline, prices each issue in weekly dollars, and delivers the fix with the behavioural reasoning behind it.

In practice, Flowganise answers three questions for any ecommerce site:

  • What is going wrong? Friction detected automatically across your funnel: abnormal exit rates, high-bounce traffic sources, leaking checkout steps.
  • What is it costing me? Every issue quantified as revenue lost per week, so priority is set by dollars, not by opinion.
  • What do I do about it? A specific, prioritised fix for each issue, grounded in behavioural science: why users behaved that way, and what change addresses the cause.

How Flowganise works

The detection layer is mathematical, not AI guesswork. Flowganise builds a statistical signature of your funnel from your own traffic, no external benchmarks, and flags an issue only when behaviour deviates significantly from that baseline. This is why the platform surfaces few issues and keeps your trust: everything it flags is real.

Once an issue is detected and priced, the intelligence layer generates the fix: a specific, explainable recommendation built on documented behavioural principles (loss aversion, decision paralysis, uncertainty aversion) rather than generic best practices. Quantitative foundation, qualitative output.

Session recordings and heatmaps are part of the system, but inverted from how the rest of the market uses them. You don't watch hours of replays hoping to spot a pattern; the detection layer draws on that behavioural data in its diagnosis and attaches the relevant evidence to each issue. When Flowganise tells you a checkout step is leaking $11,000 a week, the recordings and heatmaps behind that finding are one click away. Evidence for a diagnosis already made, not raw footage waiting for an analyst.

How Flowganise is different

Most teams stitch together an analytics tool, a replay tool, and a heatmap tool, then still have to do the hardest part themselves: interpretation. Flowganise is built on a different premise.

  • The platform interprets, you decide. Detection, diagnosis, dollar quantification, and prescription happen upstream. What reaches you is a decision, not a chart.
  • Dollars, not percentages. A 34% drop rate sits in a backlog for months. An $11,000-a-week leak gets fixed this sprint. Pricing every issue in revenue is what changes organisational behaviour.
  • Proactive, not reactive. You don't run queries or watch recordings hoping to spot patterns. The platform runs continuously and tells you when something starts costing money.
  • Built for teams without analysts. Flowganise assumes your team is a founder, a marketer, and a developer with day jobs, not a data function waiting for dashboards to interpret.
  • Built for modern web apps. The lightweight tracker captures client-side navigation in single-page applications accurately, so Nuxt, React, and Vue storefronts are measured correctly, not just full page loads.

Who is Flowganise for?

Flowganise is built for online-selling brands in considered-purchase categories (fashion, beauty, luxury, telco, finance, insurance) doing roughly 20,000+ sessions a month, typically running paid acquisition. It serves founders, heads of ecommerce, growth teams, and the agencies that support them.

Below that traffic level, detection has too little signal to separate real friction from noise, and simpler tools will serve you better. We say so because trust in the diagnosis is the entire product.

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.

What is Flowganise expanding into?

Two expansions are in development, both extending the same diagnosis logic beyond the site itself.

Campaign Intelligence connects ad spend to on-site behaviour, diagnosing why specific campaigns underperform: whether the problem is the creative, the audience, or the page the ad lands on. Built in collaboration with our design partners.

Agentic commerce prepares ecommerce sites for AI shoppers. As agents begin evaluating and buying on behalf of users, machine-side friction becomes a revenue problem too, and we're building the detection layer for it before the trend goes mainstream.

Frequently asked questions

What does Flowganise do?

Flowganise detects friction across an website funnel, quantifies each issue as revenue lost per week in dollars, and prescribes a prioritised fix with behavioural reasoning. It replaces the manual loop of pulling data, forming hypotheses, and arguing for priority with a continuous, automated diagnosis.

How is Flowganise different from GA4, Hotjar, or Contentsquare?

Those tools describe behaviour: funnels, heatmaps, session replays. Interpretation stays with your team. Flowganise does the interpretation: it detects the problem, attaches a dollar figure, and delivers the fix. Descriptive tools show you what happened. Commerce intelligence tells you what it cost and what to do.

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?

Form inputs are masked in session recordings by default, so sensitive data your visitors enter is never captured. The tracking script is lightweight and privacy-conscious by design, built for GDPR alignment. You get the behavioural evidence behind each detected issue without collecting personally identifiable information.

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

#web analytics #session replay #heatmaps #conversion optimization #ai analytics