Purpose

Initial & Final Rows: 198 observations retained unchanged \u2013 no data loss occurred during preprocessing
Retention Rate: 100% \u2013 all records passed quality checks and filtering criteria
Rows Removed: 0 \u2013 no observations were excluded, suggesting either excellent data quality or minimal validation thresholds
Train/Test Split: Not applied \u2013 analysis uses the full dataset without holdout validation

This section evaluates how effectively different traffic channels engage users by comparing engagement rates, bounce rates, session duration, and pageview depth. Understanding engagement quality across channels reveals which sources deliver genuinely interested audiences versus those with poor content-channel fit, directly supporting the objective to identify which channels drive the most valuable user interactions.

Key Findings

Organic Shopping: 84.61% engagement rate with 811.82 seconds average session duration—exceptional user interest and deep content exploration
Paid Search: 57.1% engagement rate but only 1.01 seconds average duration—suggests targeting issues despite moderate engagement claims
Direct Traffic: 37.82% engagement rate with 62.18% bounce rate—lowest engagement despite highest session volume (1,084 sessions)
Engagement Range: 46.79 percentage point spread (37.82% to 84.61%) indicates substantial quality variance across channels
Inverse Relationship Validated: Perfect negative correlation between engagement and bounce rates confirms data integrity

Interpretation

The data reveals a critical disconnect between traffic volume and engagement quality. Direct traffic dominates in session count but underperforms in user interest, while Organic Shopping converts minimal traffic into exceptional engagement. This suggests that channel performance cannot be evaluated on volume alone—quality metrics expose which sources attract users genuinely aligned with content, essential for understanding true conversion potential beyond