A campaign shows a high click-through rate but zero conversions. The traffic source looks suspicious, but you need proof before blocking it. Session recordings can help you build that evidence by showing exactly how users behave on your site. In this article, you will learn how to use session recordings to identify invalid traffic, what warning signs to look for, and how to combine this data with other tools to make informed decisions about blocking traffic.
What Session Recordings Reveal About Invalid Traffic
Session recordings capture mouse movements, clicks, scrolls, and form interactions. When you review recordings from suspicious traffic, you can spot patterns that indicate bots or automated scripts. For example, a bot might move the mouse in a straight line, click on non-interactive elements, or fill out a form in under a second. These behaviors are hard to detect with analytics alone.
To build evidence, compare recordings from known good traffic (e.g., organic visitors) with those from the suspect source. Look for differences in time on page, scroll depth, and interaction patterns.
Warning Signs in Session Recordings
- No mouse movement: The page loads but no cursor activity is recorded. This could indicate a headless browser or script that only loads the page.
- Rapid, unnatural clicks: Clicks happen faster than a human could physically perform, often on the same element repeatedly.
- Form fills in milliseconds: A user completes a multi-field form instantly, suggesting automated submission.
- Identical behavior across sessions: Multiple recordings show the exact same mouse path and timing, indicating a script replaying a recorded session.
- No scroll or minimal scroll: The visitor never scrolls down the page, yet still clicks on a call-to-action button that is below the fold.
How to Collect and Analyze Session Recordings
You need a session recording tool like Hotjar, FullStory, or Microsoft Clarity. Set up recordings for all traffic or filter by campaign source. Focus on sessions from sources with high bounce rates, low time on page, or zero conversions. Export the recordings and review them in batches.
Create a checklist of suspicious behaviors and score each session. If multiple sessions from the same source show several warning signs, you have evidence of invalid traffic.
Combining Session Recordings with Other Data
Session recordings alone are not definitive proof of fraud. They show behavior but not the underlying cause. Combine them with:
- IP analysis: Check if the IP belongs to a datacenter or VPN. Tools like BlindaClick can flag datacenter IPs.
- Click timestamps: Look for patterns like clicks every 10 seconds on the dot.
- Conversion data: Compare form submissions from suspect sessions with known valid leads. Invalid submissions often have gibberish or repeated text.
- Google Ads click data: Cross-reference click IDs with session recordings to see if the same user clicked multiple times.
Limitations of Session Recordings
Session recordings have limitations. They can be blocked by ad blockers or privacy settings. They also consume storage and may slow down your site if not configured properly. Most importantly, they show behavior but not intent. A user might move slowly because they are reading, not because they are a bot. Always use recordings as part of a broader investigation, not as the sole evidence.
Additionally, session recordings cannot detect all types of invalid traffic. For example, a sophisticated bot that mimics human behavior perfectly might pass the recording test. That is why you need multiple layers of detection.
Building a Case for Blocking Traffic
Once you have collected evidence from session recordings and other sources, you can decide whether to block a traffic source. Start by creating a report that includes:
- Number of suspicious sessions from the source
- Specific behaviors observed (e.g., no mouse movement, instant form fills)
- IP analysis results
- Impact on conversion data quality
If the evidence is strong, you can block the source at the network level (e.g., via firewall), in your ad platform (e.g., exclude IP ranges), or using a third-party protection tool like BlindaClick that can automatically filter invalid traffic based on behavioral and technical signals.
Remember: blocking traffic should be a data-driven decision. Session recordings give you visual proof that can justify your actions to stakeholders.
FAQ
Can session recordings alone prove click fraud?
No. Session recordings provide behavioral evidence but not definitive proof. You need to combine them with IP analysis, click patterns, and conversion data to build a strong case.
How many sessions should I review to identify invalid traffic?
Review at least 20-30 sessions from a suspect source. If most show suspicious patterns, that is a strong indicator. For high-traffic campaigns, sample randomly but ensure statistical significance.
What tools work best for session recordings?
Hotjar, FullStory, and Microsoft Clarity are popular options. Choose one that integrates with your analytics and ad platforms for easier cross-referencing.
Will session recordings slow down my website?
Most tools use asynchronous loading and have minimal impact on page speed. However, recording every session can increase bandwidth usage. Limit recordings to a percentage of traffic or specific pages to reduce load.
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