Case brief: Fashion e-commerce SEO
Best for: Week 3 content architecture · Week 1 CAC/LTV · Week 8 “reduce paid dependence”
Source of truth: /case-studies/kathmandu-ecommerce-seo/ · Narrative: /blog/gurkha-technology-ecommerce-seo-case-study/
Situation
Kathmandu fashion & lifestyle store (500+ SKUs). Strong catalog, weak organic; ~90% traffic from paid; slow mobile (~4.2s). Brand withheld.
Numbers (as published, 12 months)
| Metric | Before | After |
|---|---|---|
| Organic sessions/mo | ~2,300 | ~13,500 (+487%) |
| Organic-led revenue | — | ~3× |
| Paid share of traffic | ~90% | ~45% |
| CVR | 1.2% | 3.8% |
| CAC / CPA | NPR 850 | NPR 360 (−58%) |
| Load time | ~4.2s | ~1.8s |
What they did (sequence matters)
- Technical foundation (speed, crawl, schema)
- Category/product on-page + Nepal long-tail map
- Links/PR + local signals
- CRO on checkout/snippets late in the year
MBA discussion
- Why is “more blog posts” the wrong first move here?
- How does organic growth change the LTV ≥ 3× CAC conversation for an e-com MBA pitch?
- Tie to Week 2: speed and mobile are acquisition multipliers, not decoration.
Cite in pitches
“Kathmandu e-com SEO case: organic sessions +487% and ~3× organic-led revenue in 12 months; CAC −58% (source).”
