Nepal Case Study Map
Use these published cases beside each day’s theory. Prefer the full write-up when you need numbers; never invent KPIs that the case page does not publish.
| Day | Theme | Primary case | Why it fits |
|---|---|---|---|
| 1 | Brand & positioning | Jhalko — brand & leads | Identity before campaigns; social-safe mark |
| 2 | Site / UX / ops | Treebones Resort | Owned site + brand system first |
| 3 | Offer & copy | Ayush Hospital content | Patient-intent messaging, not clickbait |
| 4 | SEO | Kathmandu fashion e-commerce SEO | +487% organic sessions; ~3× organic-led revenue |
| 4 (local) | GBP / Maps | Kathmandu clinic local SEO | GBP map views ~+340%; calls ~+85% |
| 5 | Social systems | Treebones + Jhalko | Always-on social after brand lock |
| 5 / 7 | Hospitality WhatsApp booking funnel | Nepal click-to-chat method (no invented occupancy) | |
| 6 | Analytics / CRO | Home services Google Ads | Waste + landing CVR drove −42% CPA |
| 7 | Owned audience | WhatsApp method case + email economics in notes | Owned chat + email beat algorithm rent |
| 8 | Unit economics | Education consultancy PPC | −40% CPL; ~2× leads on held spend |
| 8 / 9 | Paid Search vs Meta | Home services CPA + catalog | Budget follows CAC/LTV, not channel fashion |
| 9 | Creative / awareness | Famous Steel brand awareness · THT Football Circus | Creative systems when Pixel data is thin |
| 10 | Stack & presence | Nepal Airlines digital presence · Jyotipunja tech audit | Governance + infrastructure before scale |
Discussion Prompts by Day
Use one prompt per day, either in small groups (10 minutes) or as a written reflection. Answer only with the figures the case page publishes.
- Day 1 (Jhalko): Why did the brand identity come before lead generation? What would have gone wrong if campaigns had launched first?
- Day 2 (Treebones): Which parts of the owned website and brand system made later social and booking work easier?
- Day 3 (Ayush Hospital): How does patient-intent messaging differ from clickbait? Rewrite one generic healthcare headline in the case’s style.
- Day 4 (fashion e-commerce SEO and clinic local SEO): Which published result depended on technical or on-page work, and which on Google Business Profile? What would you check first on your sandbox?
- Day 5 (Treebones + Jhalko): What does “always-on social after brand lock” mean in practice for a small team?
- Day 5 / 7 (WhatsApp booking funnel): Why does click-to-chat suit Nepali customers? What would you measure, given that occupancy figures are not published?
- Day 6 (home services Google Ads): The published CPA fell when waste was removed and landing-page conversion improved. Which of the two would you tackle first, and why?
- Day 8 (education consultancy PPC): How can cost per lead fall while lead volume roughly doubles on the same spend? Link your answer to Quality Score and relevance.
- Day 9 (Famous Steel, THT Football Circus): How do you run creative testing when there is too little Pixel data for the Sales objective?
- Day 10 (Nepal Airlines, Jyotipunja): Why do governance and infrastructure come before scaling campaigns? Name one risk of scaling first.
Catalog: All case studies
Evidence rule for students: Quote only figures that appear on the case page. If a metric is “not published,” say so in your pitch.
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