Everything Clarity has.
Plus everything it doesn't.

Same price, different capabilities

Both Inspectlet and Clarity offer free session replay and heatmaps. The difference is everything else. Clarity stops at observation — you can watch recordings and see click heatmaps, but that's where it ends. There's no form analytics to diagnose checkout drop-offs, no A/B testing to validate fixes, no surveys to collect direct feedback, and 30-day data retention means historical analysis is off the table.

Inspectlet's free plan includes the full feature set: AI session insights, form analytics, A/B testing, eye-tracking heatmaps, error logging, surveys, session thumbnails, and live view. No features are locked behind paid plans. The only difference between free and paid is session volume — not capabilities.

The form analytics gap

Clarity has no form analytics at all. This is its biggest blind spot for any site that depends on form conversions — signups, checkouts, lead generation, account creation. When your checkout form has a 30% abandonment rate, session replay can show you that users leave, but it can't show you the pattern across hundreds of sessions.

Which field trips people up? How long do they hesitate on the phone number input? What percentage start the form but never submit? Do users who abandon always stop at the same field, or is the drop-off spread across the entire flow?

Inspectlet's form analytics answers all of these questions with field-level data: time spent per field, drop-off rates at each step, blank vs. corrected submissions, and the exact point where users give up. This turns a vague "people aren't converting" into a specific, fixable problem — without watching a single recording.

Eye-tracking heatmaps vs. basic heatmaps

Clarity offers three heatmap types: click, scroll, and area. These show you where users click and how far they scroll — useful for basic analysis. But they can't tell you where users look without clicking. If you have important content that users see but never engage with, click heatmaps won't reveal the problem.

Consider a pricing page where users read all the feature descriptions but never click the signup button. Click and scroll heatmaps show healthy engagement. But an eye-tracking heatmap reveals that users are reading the feature list, then looking at the price, then looking away — a classic sign of price resistance that no amount of click data would surface.

Inspectlet adds eye-tracking heatmaps that use mouse movement as a proxy for visual attention. Research consistently shows that mouse position correlates strongly with eye gaze. This reveals which sections users actually read, which they scan past, and where attention drops off — insight you simply can't get from click and scroll data alone.

Data retention and playback limits

Clarity retains data for 30 days and caps playback at 100,000 sessions per project. For small-to-medium sites with straightforward analytics needs, this may be sufficient. But for teams running seasonal promotions, comparing month-over-month trends, investigating intermittent bugs, or analyzing high-traffic pages, those limits can become a real constraint.

Imagine you notice a conversion drop in March and want to compare it to January's baseline. With Clarity, that January data is already gone. Or you're debugging an issue that a customer reported last month — the session that captured the bug has expired. These aren't edge cases; they're common scenarios for any team doing serious optimization work.

Inspectlet's paid plans offer longer retention windows, and there's no hard playback cap that prevents you from reviewing recorded sessions. If you need to revisit a session from two months ago to understand a regression, the data is still there.

From observation to action

Clarity is excellent at showing you what happened. But it stops there. You see a user rage-click a broken button — now what? You open a separate A/B testing tool to build a variant. You check a separate error monitoring tool to see if there's a JavaScript issue. You use a separate survey tool to ask users what they expected. Each tool has its own login, its own data silo, its own learning curve.

Inspectlet closes the loop in one platform. See a problem in session replay, check the error log for technical context, launch an A/B test to validate the fix, and monitor whether the fix holds — all without leaving the dashboard.

Every data point connects: you can go from an AI-flagged session to the error that caused it to the A/B test that fixed it. That end-to-end workflow — observe, diagnose, fix, verify — is what separates a basic analytics tool from a conversion optimization platform.