Comparisons
Q3 2025 versus Q1 2026. An increase is not automatically good. When engagement falls while sessions rise, my assumption is paid.
Swap windows
Reset filters+181.8%
Sessions change
3,391 → 9,555
-3.5 pt
Engagement change
55.9% → 52.4%
+125.7%
Paid mix-column change
1,924 → 4,343
Columns
| Sessions | 3,391 | 9,555 | 6,164 | +181.8% | More volume. I would check whether paid caused it. |
| Users (monthly sum) | 3,048 | 8,506 | 5,458 | +179.1% | A sum of monthly rows, not unique people across the window. |
| Engagement rate | 55.9% | 52.4% | -3.5 pt | -6.3% | Quality worsened even if volume rose. |
| Direct sessions | 718 | 3,366 | 2,648 | +368.8% | This is the floor of the engine. |
| Paid sessions (mix column) | 1,924 | 4,343 | 2,419 | +125.7% | Likely the spike mechanism. |
| Organic Search column | 421 | 733 | 312 | +74.1% | This is the highest-quality scalable channel I can see in the full window. |
| Key events | 5,086 | 4,303 | -783 | -15.4% | This total mixes hiring and generic actions. I would not treat a rise as leads. |
What I noticed. Sessions moved +181.8% while engagement moved -3.5 points. Paid mix-column moved +125.7%.
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 | +181.8% sessions, -3.5 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. |