Confetti Report
Conversion & UXAlso: Confetti Map · Click Map
Quick definition
A confetti report is a click-tracking visualisation that plots every click a visitor made on a page as an individual dot, rather than blending them into a heatmap's colour gradient. Each dot can be filtered by device, traffic source or visitor segment, showing exactly where clicks landed instead of a general intensity zone.
How it varies across Australia
How thoroughly Australian conversion teams use click-level diagnostics before a redesign varies widely. Teams running structured conversion-rate optimisation programmes tend to pull a confetti report before every major layout change. Many smaller sites still redesign on instinct alone, skipping click-level evidence entirely.
See how conversion practices compare across Australian industries →What it actually means
Picture a heatmap as a trampled lawn. Every footstep blurs into the one before it, and what you see is a warm patch of grass where a lot of people walked. A confetti report is the same lawn with each footprint kept separate and coloured by who made it. You lose the instant read of 'busy here' but gain something more useful. You can see exactly which button, link or patch of whitespace every individual click landed on.
That distinction matters most when a page collects clicks on something that isn't clickable at all. A heatmap will show a warm zone and nothing more. A confetti report will show a scatter of dots sitting on a static image or a bolded line of text, which is the clearest evidence a visitor expected to interact with something the page was never built to respond to.
Most session recording and click-tracking platforms offer both views side by side, usually as a toggle on the same screen. The confetti view earns its name honestly. Filtered by device or segment, a busy page's click data genuinely looks like a burst of coloured confetti scattered across the layout.
A heatmap tells you where clicks are dense. A confetti report tells you where each individual person clicked, including the ones who clicked on nothing at all.
How it shows up
A confetti report shows up as a scatter plot overlaid on a screenshot of your page, generated once enough clicks have been recorded. Each dot represents one click, colour-coded by a filter you choose, such as new versus returning visitors, desktop versus mobile, or traffic source. Dense clusters on your primary call-to-action button are a good sign. Clusters on non-interactive elements, like product images or headline text, are dead clicks and usually mean the design is signalling 'click me' where nothing happens.
The Australian context
Australian small and mid-sized ecommerce sites often run click-tracking tools on a free or entry-tier plan, which caps the number of pages or sessions recorded each month. That's fine for a single landing page audit but it means most Australian sites never build a habit of running confetti reports across the full site. The businesses that treat it as a quarterly check, not a one-off audit, are the ones who catch dead-click problems before they cost conversions.
Where people get this wrong
Related terms
Common questions
Is a confetti report the same as a heatmap?
No. A heatmap blends clicks into colour intensity zones. A confetti report keeps every click as an individual coloured dot, which makes it easier to spot exact click targets and dead clicks on elements that were never meant to be interactive.
What tools generate a confetti report?
Most click-tracking and session-recording platforms include a confetti view alongside their standard heatmap, including Hotjar, Microsoft Clarity and FullStory. It's usually a toggle on the same click-map screen rather than a separate report.
How many clicks do I need before a confetti report is useful?
Enough that a real pattern emerges rather than noise. A page with only a handful of clicks will show scattered dots with no clear signal. Higher-traffic pages produce a confetti report worth acting on within days.
Can a confetti report replace A/B testing?
No. A confetti report tells you where visitors click and where they expected something clickable that wasn't. A/B testing tells you whether changing that element actually improves conversion rate. Use the report to generate the hypothesis, then test it.
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About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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