This case study follows the STAR-L framework from our Marketing Case Studies Hub — anonymized to protect client confidentiality while sharing actionable tactics any Google Ads practitioner can apply.

Case Studies Hub · Negative Keywords Master List · Google Ads Audit Checklist · CPA (dictionary)

At a glance

Metric Before After Change
Monthly spend NPR 85,000 NPR 72,000 −15%
Conversions/month 18 28 +56%
CPA NPR 4,722 NPR 2,571 −42%
Conversion rate 3.1% 5.8% +87%
Wasted spend (irrelevant queries) ~35% ~8% −27pp
Timeline 90 days

S — Situation

Client profile (anonymized):

  • Home services business in Kathmandu (plumbing + electrical)
  • Running Google Ads for 14 months with a previous agency
  • Single Search campaign, broad match keywords, Maximize Conversions bidding
  • Landing page: generic homepage, not service-specific
  • Tracking: GA4 + Google Ads conversion import (phone calls + form fills)

Starting metrics (Month 0):

Google Ads CPA Reduction Case Study (2026): Kathmandu Service Business
  • NPR 85,000/month ad spend
  • 18 conversions/month (phone calls + form submissions)
  • CPA: NPR 4,722
  • Quality Score average: 4.2/10
  • 580 clicks/month, 3.1% conversion rate

The owner knew ads were “working” but suspected money was wasted — especially on queries that never converted.


T — Task / Challenge

Three specific problems identified in the initial Google Ads audit:

Problem Evidence Impact
No negative keywords Search Terms Report showed 35% spend on irrelevant queries NPR ~30,000/month wasted
Single campaign structure All services in one campaign — no budget control per service Plumbing CPA 2× electrical CPA, hidden in aggregate
Homepage landing page 3.1% CVR vs. industry benchmark 5–8% for service pages Losing 40%+ of potential conversions
Broad match without guardrails Keywords like “plumber” triggered “plumber jobs Kathmandu”, “plumber course” Irrelevant traffic inflating spend

Goal: Reduce CPA below NPR 3,500 while maintaining or increasing conversion volume.


A — Actions

Month 1: Stop the bleeding

Week 1–2: Negative keyword blitz

Applied 180+ negatives from our Negative Keywords Master List plus account-specific terms mined from 90 days of Search Terms Report:

Category Example negatives Spend saved
Job seekers “jobs”, “vacancy”, “salary”, “hiring” NPR 8,200/mo
DIY learners “how to”, “tutorial”, “course”, “training” NPR 4,100/mo
Wrong service “carpenter”, “painter”, “AC repair” (not offered) NPR 3,800/mo
Free seekers “free”, “cheap”, “DIY fix” NPR 2,900/mo
Competitor brands 4 competitor business names NPR 1,400/mo

Week 3–4: Campaign restructure

Split single campaign into three service-specific campaigns:

Campaign Budget share Keywords Landing page
Plumbing — Emergency 45% “emergency plumber kathmandu”, “pipe leak repair” /plumbing-emergency/
Plumbing — General 20% “plumber near me”, “plumbing service kathmandu” /plumbing-services/
Electrical 35% “electrician kathmandu”, “wiring repair” /electrical-services/

Each campaign got its own ad groups (exact + phrase match), RSA ads with service-specific copy, and dedicated landing pages.

Month 2: Optimize and scale

Landing page improvements:

  • Added click-to-call button above fold (mobile — 85% of traffic)
  • WhatsApp contact button
  • Service-specific pricing ranges in NPR
  • 6 genuine Google reviews embedded
  • Page load time reduced from 4.2s to 1.8s (mobile)

Bidding transition:

  • Switched from Maximize Conversions to Manual CPC for 3 weeks (clean data collection)
  • After 45 conversions in Plumbing — Emergency campaign, enabled Target CPA at NPR 3,200
  • Electrical campaign stayed Manual CPC (insufficient conversion volume)

Ad copy refresh:

  • Added call extensions with tracking number
  • Location extensions linked to GBP
  • RSAs with service-specific headlines: “24/7 Plumber Kathmandu — Call Now”

Month 3: Refine and document

  • Weekly Search Terms Report review — added 15–20 new negatives per week
  • Paused 3 ad groups with CPA > NPR 5,000 after 30+ clicks
  • Increased Plumbing — Emergency budget by 15% (best CPA campaign)
  • Set up offline conversion import for jobs completed (not just leads)

R — Results

Metric Month 0 Month 3 Change
Spend NPR 85,000 NPR 72,000 −15%
Conversions 18 28 +56%
CPA NPR 4,722 NPR 2,571 −42%
CVR 3.1% 5.8% +87%
Quality Score avg 4.2 6.8 +2.6
Impression share 42% 58% +16pp

Campaign-level breakdown (Month 3):

Campaign CPA Conversions % of total
Plumbing — Emergency NPR 2,100 14 50%
Plumbing — General NPR 3,400 6 21%
Electrical NPR 2,950 8 29%

ROI context: Average job value NPR 4,500 (plumbing) / NPR 6,200 (electrical). At NPR 2,571 CPA, the account became profitable on first-visit jobs — previously breakeven at best.


L — Learnings

What worked

  1. Negative keywords first — biggest single impact. 35% waste eliminated in 2 weeks.
  2. Service-specific landing pages — CVR nearly doubled. Never send paid traffic to homepage.
  3. Campaign separation by service — revealed that aggregate CPA hid a 2× difference between services.
  4. Manual CPC before automated bidding — cleaner data before enabling Target CPA.

What we’d do differently

  1. Offline conversion import from day 1 — many “conversions” were low-quality leads (price shoppers who never booked). Tracking completed jobs would have optimized sooner.
  2. Call recording review — would have identified that 20% of phone leads were wrong-service calls despite negatives.
  3. Ad schedule analysis earlier — emergency plumbing converts 3× better 6 AM–10 PM; night spend was wasted.

Applicable to your account

If you see this… Do this
CPA above industry benchmark Run Google Ads Audit — check negatives first
Broad match with no negatives Apply Negative Keywords Master List immediately
Single campaign for multiple services Split by service with dedicated landing pages
CVR below 4% on service pages Build service-specific landing pages with click-to-call
Fewer than 30 conversions/month Stay on Manual CPC — don’t enable Target CPA yet

Tools and resources used


More proof from the Case Studies Hub:

  • SEO traffic growth case studies (coming)
  • Meta Ads ROAS improvement case studies (coming)
  • E-commerce conversion rate optimization (coming)

Have a Google Ads account that needs this level of optimization? See Google Ads Nepal for service details.