Calculate the Bounce Rate:
Use the values from the columns "[Column with single-page sessions]" and "[Column with total sessions]" in the attached CSV to calculate the Bounce Rate using the following formula:
Bounce Rate = (Single-Page Sessions ÷ Total Sessions) × 100
After calculating the Bounce Rate, report where it lands on the following scale (lower is better):
Very Good = below 10%
Good = 10–19%
Average = 20–29%
Poor = 30–39%
Very Poor = 40% and above
Next, analyze the responses in the column "[Column with qualitative explanations]" in the CSV (e.g., open-text user feedback, session notes) to identify common reasons for bounces and provide clear, actionable suggestions for how the Bounce Rate could be reduced.
Bounce Rate — Example Report
Summary
Bounce Rate: 23.0% → Average
Single-Page Sessions: 1,150
Total Sessions: 5,000
Calculation
Bounce Rate
=
1,150
5,000
×
100
=
23.0
%
Bounce Rate=
5,000
1,150
×100=23.0%
Scale placement: 23.0% falls in Average (20–29%).
Key Breakdowns (from CSV)
By device
Mobile: 3,000 sessions / 900 single-page → 30.0% (Poor)
Desktop: 2,000 sessions / 250 single-page → 12.5% (Good)
By landing page
Landing Page Sessions Single-Page Bounce
Homepage 1,800 270 15.0% (Good)
Category 1,200 420 35.0% (Poor)
Product 1,000 210 21.0% (Average)
Blog 600 180 30.0% (Poor)
Campaign LP 400 70 17.5% (Good)
By traffic source
Organic Search: 2,200 / 374 → 17.0% (Good)
Paid Social: 1,100 / 462 → 42.0% (Very Poor)
Paid Search: 900 / 189 → 21.0% (Average)
Email: 500 / 60 → 12.0% (Good)
Referral: 300 / 65 → 21.7% (Average)
Qualitative Insights (theme analysis of explanations column)
Top themes and share of mentions:
Slow mobile load on Category pages — 34%
“Took several seconds to load; I backed out.”
Ad–landing page mismatch (Paid Social) — 26%
“Ad promised a specific hoodie, page showed a generic category.”
Intrusive pop-ups on first paint — 18%
“Newsletter popup blocked the page on mobile.”
Thin content above the fold — 12%
Confusing cookie consent banner — 10%
Recommendations (prioritized)
Improve mobile performance on Category pages: optimize images, defer non-critical JS, preconnect to CDN; target LCP < 2.5s on 75th percentile mobile.
Tighten ad-to-page relevance for Paid Social: route each ad set to matching product/collection LPs and mirror creative headlines on the LP.
Delay or soften pop-ups: show after 15–20s or on 50% scroll; ensure easy dismissal and avoid covering primary content on mobile.
Strengthen above-the-fold value on Category & Blog: add concise H1, benefit bullets, and 3–5 internal links to top products/guides.
Simplify consent UX: one-line banner with clear “Accept / Manage” and no layout shift.
Next Checks
A/B test ad-to-LP matching on Paid Social; success metric: bounce −10 pts on those LPs.
Monitor Core Web Vitals (mobile) and track bounce vs. LCP/CLS by template.
Review scroll-depth & time-to-first-interaction to confirm engagement lift post-changes.
Segment new vs. returning to spot first-visit friction on Category pages.
Target: reduce overall bounce to ≤19% (move into Good) with the above fixes.