Meta Ads · Nepal
Facebook and Instagram campaigns for Nepal-based businesses, tested one variable at a time and tracked to CRM-verified revenue — not platform-reported clicks.
Arcetis, a Pokhara-based agency, has managed $57K+ in Meta ad spend across Facebook and Instagram for businesses in Nepal and six other countries. Campaigns are tracked from click through to CRM-recorded revenue rather than reported on platform-side conversions alone.
$57K+
Meta Ads spend managed
1 variable
Per creative test, by rule
Google & Shopify Partner
Verified organizational status
Nepal's internet usage skews heavily mobile and social-first, with Facebook and Instagram among the most-used digital platforms in the country. That makes Meta a natural fit for exactly the kind of visual, discovery-intent categories common among Nepal businesses — restaurants, retail, and local events — where someone isn't typing a search query yet, but will stop scrolling for the right photo, menu, or offer. Google Ads captures a search that already exists; Meta creates the intent in the first place.
Methodology
A five-stage methodology for managing paid ad budgets (Google Ads and Meta Ads) so every dollar traces back to a CRM-verified business outcome, not a platform-reported conversion. Run on a Meta Ads account, the same five stages govern every campaign — the platform changes, the discipline doesn't.
Stage 1
Conversion tracking rebuilt or audited at the source: GA4 events, GTM container hygiene, and Google Ads conversion actions mapped to real revenue events.
Stage 2
Search terms and audiences segmented by buying-stage intent — high-intent, comparison-stage, and awareness-stage queries each get separate campaigns and budgets.
Stage 3
Ad copy and the landing page it resolves to are treated as one unit, rebuilt whenever Quality Score or message-match data indicates a mismatch.
Stage 4
Budget shifts follow a documented decision rule — statistically sufficient data before reallocating — rather than daily reactive changes.
Stage 5
Ad performance reconciled against CRM-stage data, not just platform-reported conversions, so budget follows what actually closes.
Two live, checkable Nepal restaurant websites Arcetis has built — precisely the visual, discovery-intent category Meta Ads is built for. Visit them directly rather than take it on description alone.
Yes — Meta's ad formats are built for exactly the categories many Nepal small businesses fall into: restaurants, retail, events, and local services, where a photo or short video does more work than a text search ad ever could. The same structured, one-variable-at-a-time creative testing and documented bid governance Arcetis runs on larger accounts applies at a local-business budget too — the discipline doesn't change with account size, only the scale.
Mainly structure and attribution. Self-run accounts usually change several creative variables at once and call a winner after a day or two of data. Arcetis isolates one variable per test, sets a significance threshold before launch, and reconciles ad performance against CRM-stage data rather than Meta's own reported conversions — so budget follows what actually closes, not what the platform claims closed.
There's no universal minimum — a budget figure should follow audience size and offer, not a rule of thumb. That's why audience and intent mapping is its own stage in the Signal-to-Revenue Framework, done before a number is set, rather than picking a spend level first and hoping the strategy fits it afterward.
Whichever matches where a specific business's real audience actually is. Creative language is decided during the creative and landing-page alignment stage of the framework — Nepali, English, or a mix of both — rather than defaulted to one language regardless of who an account is actually targeting.
Google Ads captures demand that already exists — someone actively searching. Meta creates demand by putting a visual, scroll-stopping ad in front of the right audience before they've searched for anything. Arcetis runs both under the same Signal-to-Revenue Framework, often together, so a lead's journey across both platforms lands in one CRM instead of two disconnected dashboards.