What Is Session Recording?
Session recording goes beyond aggregate analytics by capturing the actual experience of individual users on your website.
Unlike Google Analytics, which shows you summary data about what happened across thousands of sessions, a session recording shows you the exact journey of a single user: where they moved their cursor, what they clicked, how far they scrolled, how long they paused on specific sections, and whether they encountered any errors.
The output is a compressed, anonymised video replay you can watch back at speed.
Session recordings are collected by tools like Microsoft Clarity (free), Hotjar, FullStory, Mouseflow, and LogRocket. These tools inject a small JavaScript snippet that captures DOM snapshots at intervals and logs user events, then reconstructs the visit as a video on their platform.
Sensitive data like passwords, credit card numbers, and personal form fields are masked automatically by reputable providers to maintain user privacy and comply with data protection obligations including South Africa's POPIA legislation.
The most valuable recordings are not random samples.
Most tools allow you to filter sessions by behaviour: sessions that include rage clicks (multiple rapid clicks in the same spot, indicating frustration), sessions where users encountered JavaScript errors, sessions from specific traffic sources like Google Ads, or sessions where users abandoned a checkout.
Filtering to these high-intent moments dramatically accelerates the process of finding and fixing usability problems.
Session recordings complement heatmaps and funnel analysis effectively. Heatmaps show aggregate patterns across thousands of sessions. Session recordings explain the individual stories behind those patterns, adding qualitative depth to quantitative data.
Session Recording In Practice
The two scenarios below are illustrative examples, not Juicy Designs client results. The figures indicate the scale of effect that session recording work typically produces, so treat them as indicative rather than measured.
Picture a Sandton-based financial planning firm whose funnel analysis suggests that around 45% of users abandon its online calculator tool before completing it. The team would filter session recordings to users who dropped off at the third step.
Watching 15 or so recordings, they might discover that on mobile devices a date picker field triggers the device's native keyboard, which then obscures the "Next" button. Users complete the field but cannot see or tap the button to proceed.
A CSS fix to offset the button could plausibly bring the abandonment rate down to something in the region of 18%.
Or consider a Port Elizabeth e-commerce store using session recordings alongside click tracking data to investigate why a recently redesigned product page is underperforming.
Recordings would typically reveal whether users are reading the product description carefully and then looking for a size guide that existed on the old page but was not migrated to the new design.
Repeated cursor movement to the area where the size guide used to sit would be visible across multiple recordings. Reinstating the size guide could plausibly restore the product page conversion rate to its pre-redesign level within days.
This example illustrates why session recordings are one of the fastest diagnostic tools available for post-launch website issues.
What recordings reveal that analytics cannot
A session recording replays an individual visit: movement, scrolling, clicks, form interaction and hesitation. Analytics tells you that 60% abandon the quote form. A recording shows you they abandon at the budget field.
The behaviours worth watching for:
- Rage clicks on elements that are not interactive but look like they should be.
- Form field abandonment, and specifically which field precedes the exit.
- Repeated scrolling up and down, usually meaning information expected in one place is somewhere else.
- Hesitation before a CTA, which normally signals unanswered risk rather than an unclear button.
- Mobile mis-taps caused by targets too small or too close together.
Privacy obligations under POPIA
Session recording captures behaviour on your site, and if configured carelessly it captures personal information typed into forms. That brings it squarely within POPIA.
- Mask input fields by default, particularly names, contact details, ID numbers and payment fields. Most tools support this; verify it rather than assuming.
- Disclose recording in your privacy notice, describing what is captured and why.
- Set a retention period and delete recordings after it. Keeping them indefinitely is difficult to justify.
- Restrict access to the people who genuinely need it.
Watch ten recordings of a problem page rather than a hundred at random. The pattern usually appears within the first five.
FAQ
Is session recording POPIA-compliant in South Africa?
Session recording tools can be used in a POPIA-compliant manner provided you disclose the tracking in your privacy policy and, where required, obtain user consent via a cookie banner. Reputable tools like Microsoft Clarity and Hotjar automatically mask sensitive fields such as passwords and payment inputs. Always consult a legal professional to review your specific implementation against POPIA requirements.
What is a rage click and why does it matter?
A rage click is detected when a user rapidly clicks or taps the same element multiple times in quick succession, indicating frustration. This usually means they expected an element to be clickable or interactive but nothing happened.
Session recording tools flag rage clicks automatically, making them one of the quickest ways to identify broken links, confusing UI elements, or non-responsive buttons on your site.
Are session recordings legal in South Africa?
Yes, provided you comply with POPIA: mask personal information in form fields, disclose the practice in your privacy notice, set a retention period, and restrict access to those who need it.
How many session recordings should I watch?
Ten focused recordings of a specific problem page usually reveal the pattern. Watching large numbers at random is a poor use of time; use analytics to choose the page first.