Rage Click Monitoring

Automatically Detect Rage Clicks
and Fix Frustrating UI Issues.

Rage clicks — rapid, repeated clicks on the same element — are one of the strongest signals that something is broken or unresponsive. FrictaSolv detects them automatically and shows you which elements, pages, and sessions are affected.

What you get

Automatic detection

No configuration needed. FrictaSolv identifies rapid repeated clicks on the same target element and flags the session.

Element-level detail

See exactly which button, link, or div users are rage-clicking — with the element label and page URL.

Session context

View the full session timeline: what happened before, during, and after the rage click. See correlated errors and failed requests.

Real-time alerts

Get notified via email, Slack, or webhook when rage click spikes are detected on a page.

Real-world examples

Bugs FrictaSolv catches that GA and Hotjar miss.

Broken checkout button

A React hydration error prevents the checkout button from attaching its click handler for 2 seconds after page load. Users see the button, click it, nothing happens, and click again repeatedly.

5 rage clicks on button.checkout-btn within 1.8s, correlated with a hydration console error

Dropdown not opening

A CSS z-index conflict causes a dropdown menu to render behind another element. Users click the trigger but the menu never appears visually.

7 rage clicks on div.dropdown-trigger, zero DOM mutations detected after clicks (dead click + rage click)

Submit button with no loading state

A form submit button fires an API call but provides no visual feedback. Users assume it did not work and click again, causing duplicate submissions.

4 rage clicks on button#submit-form, 3 duplicate POST requests to /api/orders within 2s

FrictaSolv vs. other tools

CapabilityFrictaSolvGoogle AnalyticsHotjar / FullStory
Rage click detectionAutomaticNot availablePart of replay
Failed API correlationBuilt-inNot availableManual setup
JS error contextCaptured + correlatedNot availableRequires replay review
PII collectionNoneConfigurableSession recordings
Starting priceFreeFree$39/mo+
SDK size< 4 KB~45 KB80-200 KB

Start detecting rage clicks in 2 minutes

One line. No build step. No npm install.

<script src="https://api.frictasolv.com/solv.js"
  data-api-key="YOUR_API_KEY"></script>

Frequently asked questions

What counts as a rage click?

FrictaSolv flags a rage click when a user clicks the same interactive element 5 or more times within 2 seconds. This is a well-studied UX signal indicating that a button, link, or other element is not responding as expected.

How is this different from Google Analytics click tracking?

Google Analytics records aggregate click counts on links and buttons. FrictaSolv detects the behavioral pattern of rapid repeated clicks and ties it to session context — showing you what errors occurred, which API calls failed, and whether the user abandoned the page afterward.

Does it slow down my site?

No. The SDK is under 4 KB, loads asynchronously, and uses passive event listeners. It adds zero latency to page rendering and does not interfere with your existing JavaScript.

Do I need to tag individual elements?

No. FrictaSolv monitors all click events automatically using event delegation. There is no manual tagging, no CSS selectors to configure, and no code changes required.

How does this compare to Hotjar or FullStory rage click detection?

Hotjar and FullStory are full session replay tools that include rage click detection as one feature. FrictaSolv is purpose-built for frustration detection — lighter weight, no session recordings, no PII collection, and focused specifically on finding broken experiences. Starts at $0/month vs $39+/month for replay tools.

Can I get alerts when rage clicks spike?

Yes. Configure Slack, Teams, or email alerts. Set per-page thresholds so the right team gets notified when a specific page starts generating rage clicks above normal levels.

Stop guessing which buttons are broken.

Free 7-day friction audit. No credit card. No sales call. Just install, wait, and read the report.