Comparisons
Q3 2026 (includes a partial month) versus Q2 2026. An increase is not automatically good. When engagement falls while sessions rise, my assumption is paid.
Swap windows
Reset filters+36.8%
Sessions change
2,322 → 3,176
-6.6 pt
Engagement change
49.1% → 42.5%
+397.0%
Paid mix-column change
199 → 989
Columns
| Sessions | 2,322 | 3,176 | 854 | +36.8% | More volume. I would check whether paid caused it. |
| Users (monthly sum) | 1,797 | 2,686 | 889 | +49.5% | A sum of monthly rows, not unique people across the window. |
| Engagement rate | 49.1% | 42.5% | -6.6 pt | -13.4% | Quality worsened even if volume rose. |
| Direct sessions | 1,277 | 1,148 | -129 | -10.1% | This is the floor of the engine. |
| Paid sessions (mix column) | 199 | 989 | 790 | +397.0% | Likely the spike mechanism. |
| Organic Search column | 508 | 456 | -52 | -10.2% | This is the highest-quality scalable channel I can see in the full window. |
| Key events | 1,117 | 1,311 | 194 | +17.4% | This total mixes hiring and generic actions. I would not treat a rise as leads. |
What I noticed. Sessions moved +36.8% while engagement moved -6.6 points. Paid mix-column moved +397.0%.
How I am reading it. The later window bought more traffic of worse quality. That looks like the Paid Social pattern.
Where I would go next
| What I noticed | The numbers | How I am reading it | What I would do next |
|---|---|---|---|
| Direction needs a quality test | +36.8% sessions, -6.6 pt engagement. | Volume and quality can disagree, so I would not call this growth from sessions alone. | I would carry both numbers into any budget conversation. |