Case Study: Nepal Education Consultancy Google Ads

Same monthly Search budget. Structure, negatives, and country landing pages — not a larger bid. Client name withheld.

Narrative: education PPC case.

Evidence object

ClientWithheld. Kathmandu education consultancy (study-abroad: Australia, UK, USA, Canada).
IndustryEducation — study-abroad consultancy
LocationKathmandu, Nepal
ProblemOne campaign, 200+ mixed-intent keywords, no negatives, generic ads to a homepage, incomplete conversion/call tracking. Spend ~35% on irrelevant queries.
Starting pointNPR 300,000/month Search. CPL NPR 3,500. Leads 85–90/month. Consultation conversion 15%. Landing CVR 2.1%. CTR 1.8%. Quality Score avg 4.2.
StrategyRebuild by destination country and intent. Phrase/exact match plus 300+ negatives. Dedicated landing pages per country. Call tracking. Then bidding and remarketing.
ImplementationWeeks 1–2: account rebuild, conversion + call tracking. Weeks 3–8: country RSAs, sitelinks, landing pages (CVR 2.1% → 6.8%). Weeks 9–16: tCPA where data allowed; RLSA. Weeks 17–24: weekly search-term mining, dayparting, Kathmandu bid modifiers.
Timeline6 months; spend held at NPR 300,000/month
Organic trafficNot the primary channel. This object is Search ads.
Leads85–90 → 180–200/month (~2× / +115%). Consultation rate 15% → 35%. Applications 8% → 22%. Enrollments 10–12 → 24–28/month.
Cost / revenueCPL NPR 3,500 → 2,100 (−40%). Enrollment CAC NPR 28,000 → 12,000 (−57%). Reported ROAS 1.8× → 5.2× on the same spend (as published).
Keywords / wasteIrrelevant spend ~35% → <8% (~NPR 81,000/month redirected). CTR 1.8% → 5.4%.
Arjan’s roleLead strategist: audit, account architecture, ad/landing brief, weekly optimization, client reporting.
TeamGurkha Technology PPC. Client team shipped simple country landing pages on their existing CMS.
EvidenceGoogle Ads (Search terms, conversions, CPL) and call tracking as recorded. Account IDs and creative screenshots not published. Do not treat “Visa Success Rate 97%” ad copy as a Gurkha Technology claim — it is client-supplied ad text in the long-form example.

Same spend, cleaner structure

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