In March 2026, the site reached 1,117 total users and 480 engaged sessions. Bounce rate improved to 61.97%, which means fewer visits ended without a second interaction. Average user engagement time fell to 19 seconds, so sessions were shorter on average even though more people engaged overall.
Key Takeaways
- Total Users grew to 1,117 (+16% month over month), with New Users at 1,094 (+16%), so most growth came from first-time visitors.
- Engaged Sessions rose to 480 (+36%), meaning a larger number of visits met Google Analytics’ “engaged” threshold.
- Bounce rate dropped from 68.23% to 61.97% (down 9.17 %), indicating improved top-of-session relevance or experience.
- Average engagement time decreased from 26s to 19s (down 26.92%), suggesting people interacted but did not stay as long per visit.
- Mobile users increased from 139 to 312, so a larger share of visits came from mobile this month, which can affect engagement and bounce if mobile pages are slower or harder to use.
Channel Notes
Direct was the largest source of users in March (578), followed by Paid Search (268) and Organic Search (256). The big change month over month was Paid Search, which jumped from 65 to 268 users.
Total engagement time was highest from Organic Search (2h 58m), then Paid Search (1h 50m), then Direct. That pattern suggests search visitors, especially organic, spent more total time interacting, even though Direct delivered the most users.
Device Notes
Desktop still led usage (799 users), but mobile grew sharply to 312 users, with tablet minimal (6). With more traffic coming from mobile, any friction on smaller screens can show up as shorter engagement time and higher bounce on mobile-specific landing pages.
What We Recommend Next
- Review top landing pages by channel (especially Paid Search and Organic Search) to confirm message match and identify which pages are linked to higher bounce rate.
- Break out engagement time and bounce rate by device (Desktop vs Mobile) to confirm whether the engagement-time drop is concentrated on mobile.
- Check page speed and core performance on key entry pages, then compare bounce rate by landing page and channel to prioritize fixes with the biggest impact.
- Validate Paid Search attribution (UTMs and channel grouping) to confirm the user spike is categorized correctly and reduce any “Unassigned” traffic where possible.
How We’ll Measure Improvement
We will know these changes are working if traffic from Paid Search and Organic Search stays strong while visit quality improves. We will look for better on-site behavior on the same landing pages and devices that drove the March shifts.
- Lower bounce rate, especially on top landing pages from Paid Search and Organic Search.
- Higher average engagement time and/or more engaged sessions, with a focus on mobile performance.
- Cleaner attribution, shown by more consistent channel reporting for Paid Search and fewer miscategorized sessions.