Most Nepali businesses running Google Ads are losing 40–60% of their budget to the wrong keywords, wrong audiences, and landing pages that were never built to close. We engineer the full system — account architecture, bid strategy, and the page a visitor lands on — so every rupee spent has a measurable return.
You're running Google Ads at Rs 50,000–Rs 2,00,000 a month. You see clicks in the dashboard. You're not sure if any of those clicks became customers. Your previous agency sent monthly reports full of impressions and click-through rates. Nobody mentioned revenue.
You've inherited an ad account that someone else set up. The structure looks complex but results are inconsistent. You're not confident making changes because you don't know what's safe to touch and what will break performance.
You're running a Daraz store or your own Shopify site. Your cost per sale keeps rising. You're testing new products but the ads aren't generating enough margin to make it worth it. You've tried boosted posts. They don't scale.
You've built a real business in Kathmandu or across Nepal — education, travel, real estate, services. You want qualified enquiries, not just web traffic. You've tried Google Ads before and it didn't work. You want to understand why before trying again.
Most accounts in Nepal are built in 30 minutes by an agency rep. One campaign, broad match keywords, automatic bidding with no conversion data. Google spends the budget — it just spends it on people who were never going to buy.
Your homepage is designed to introduce your business, not to convert a specific search intent. Someone searching "immigration consultant Kathmandu fee" should not land on your homepage. They should land on a page that answers that exact question and asks for their details. The gap between ad and page is where most budget disappears.
If you can't tell which campaign produced which lead, you can't make decisions. Most accounts in Nepal have Google Analytics installed but not configured. Conversion events fire on page loads, not form submissions. ROAS calculations are guesses.
Smart Bidding — Google's automated bidding — only works when it has clean conversion data to learn from. Without proper tracking, "Target ROAS" and "Maximise conversions" will optimise toward the wrong signals. The result is confident-looking automation that spends well and returns nothing.
Search, Display, Shopping, and Performance Max. We build the account architecture from scratch or restructure what exists — campaign segmentation, match type strategy, 300+ negative keywords, and bid rules that only run when conversion tracking is clean. Every account gets a dedicated keyword map and a weekly ROAS report.
Facebook and Instagram campaigns across three stages: prospecting (cold audiences, interest and lookalike targeting), retargeting (website visitors, video viewers, catalogue shoppers), and retention (customer LTV campaigns). Pixel setup, custom conversions, and creative strategy included. We test ad formats — static, carousel, Reels — and scale what converts.
For B2B businesses in Nepal targeting professionals, companies, or international clients. Sponsored content, message ads, and conversation ads. Audience targeting by job title, industry, company size, and seniority. LinkedIn is the highest cost-per-click platform — we only recommend it when the deal size justifies it.
Feed optimisation, asset group structure, audience signals, and search theme strategy. PMax is Google's highest-reach campaign type, but it produces waste without engineering. We build the asset library, monitor placement reports, and pull back spend from underperforming channels inside the campaign.
One dedicated landing page per major campaign type. Each page has a single goal, a single CTA, and copy matched to the search intent that triggered the ad. We build, A/B test, and iterate. Sending paid traffic to a homepage is a structural error — we fix it at the start.
GA4 + Google Tag Manager, configured so every conversion ties to a campaign, ad group, and keyword. We set up ROAS dashboards showing actual cost vs actual revenue — not impressions, not clicks. Reporting is weekly, not monthly, because monthly is too slow to act on.
We review your existing account structure, attribution setup, conversion tracking, landing pages, and competitor ad activity. If you have no existing account, we audit your competitor landscape and build a starting strategy. You receive a written findings document — what's broken, what's wasting budget, what to fix first.
New campaign architecture built around your actual services and buying stages. Match type strategy, keyword map, 300+ negative keywords from day one, and conversion tracking configured in GTM before any paid traffic runs. We don't launch until attribution is working.
One dedicated landing page per major campaign. Each page is built for a single intent, a single CTA, and tested against your existing pages. Pages are mobile-first — over 70% of paid search traffic in Nepal arrives on mobile.
Daily monitoring for the first two weeks. Bid adjustments, search term reports reviewed every 48 hours, negative keyword additions, and ad copy tests running from week one. We report weekly, not monthly.
Once the account has 30+ conversions in the learning window, we introduce Performance Max, audience-based retargeting, and budget expansion guided by ROAS data — not gut feel. Creative refresh on a 6-week cycle.
Cost per enquiry: Rs 4,200 → Rs 890 in 60 days
A Kathmandu-based language institute was spending Rs 1,20,000/month on Google Ads with a single broad-match campaign sending traffic to their homepage. We rebuilt the account into 4 campaigns by service type, added 180 negative keywords, and built dedicated landing pages for each course.
Blended ROAS 1.1× → 3.4× over 90 days
An apparel brand running Facebook and Instagram ads with boosted posts and no pixel configuration. We set up the Meta pixel with custom purchase events, built a three-stage funnel (cold → cart abandonment → past purchaser upsell), and restructured creative into static + video.
Cost per qualified lead down 61%
An immigration consultancy in Kathmandu with Rs 80,000/month in Google Ads and no conversion tracking. Enquiry form submissions weren't recorded as conversions — the account was optimising toward nothing. We installed GTM, configured form submission events, and rebuilt the campaign into service-specific ad groups.
We work with accounts from Rs 50,000/month upward. Below that threshold, management fees become a disproportionate cost relative to the budget being managed. For most businesses in Nepal seeing meaningful returns, a starting spend of Rs 1,00,000–Rs 2,00,000/month on Google Ads gives the algorithm enough data to optimise within the first 30 days. We'll tell you honestly if your budget is too small for the goals you've described.
Flat monthly fee. We don't charge a percentage of ad spend because it creates the wrong incentive — an agency on percentage billing has a financial reason to recommend higher budgets regardless of whether higher budgets are justified. Our fee is fixed, our incentive is performance.
Google Ads puts you at the top of search results immediately, and you pay for each click. SEO builds organic rankings over 3–12 months that produce clicks without per-click cost. Ads are faster to return but require ongoing spend. SEO compounds over time but takes longer to show results. Most businesses benefit from running both — ads for immediate revenue, SEO for long-term compounding. We run both verticals and can show you how they interact.
For Google Ads — expect the first meaningful data within 30 days and optimised performance by month 2–3 once the Smart Bidding algorithm has enough conversion data. For Meta Ads — the pixel needs 50 conversion events to exit the learning phase, which typically takes 2–4 weeks at a moderate spend. We set realistic timelines in the audit report before any budget is committed.
Performance Max is Google's campaign type that runs ads across all Google channels — Search, Display, YouTube, Gmail, Maps, and Shopping — from a single campaign. It uses machine learning to allocate budget across placements. The risk is that without proper asset groups, audience signals, and feed quality, Google spreads budget across low-value placements. We engineer PMax accounts with the structure needed for it to perform rather than just spend.
We measure ROAS (return on ad spend), CPA (cost per acquisition), and — where revenue data is available — cost per closed deal. We do not report impressions, reach, or click-through rate as primary metrics. Every account gets a weekly dashboard showing spend, conversions, cost per conversion, and ROAS against the previous period.
Yes. Most accounts we manage were built by someone else. We start with a full audit of the existing structure before changing anything — understanding what was intentional versus what was default. We carry out a restructure in stages to avoid disrupting any campaigns that are currently performing, however modestly.
If your previous account had broad match keywords, no conversion tracking, and sent traffic to your homepage, what you experienced was a structural failure, not a platform failure. Google Ads does work — but only with proper architecture. Our audit will show you specifically what went wrong and what the account would look like if it were built correctly. If we don't think the economics work for your business, we'll tell you that too.
The audit covers your full account structure, attribution setup, conversion tracking, landing pages, and bid strategy. If you don't have an existing account, we audit your competitor landscape and build the starting strategy. You'll receive a written findings document showing where budget is being wasted, what the attribution gaps are, and what a rebuilt account would look like — before you commit to a retainer.
5-day turnaround · Account audit + attribution review · No retainer required