Traffic that pays off
We buy paid traffic for advertisers in 40+ countries and answer for the target action, not for impressions. Every bundle is modelled before launch and run to payback.
Four areas of work
We do not sell impressions and we do not resell someone else's traffic. We build a bundle around a specific offer and answer for what happens at the end of the funnel.
Traffic buying
Paid sources optimised for the target action: from an app install to an approved application or a redeemed order.
Funnel analytics
End-to-end tracking from click to revenue, broken down by source, cohort and segment inside a geo.
Creative production
An in-house production team with rotation by visual family and localisation by native speakers.
New market entry
A structured hypothesis test with criteria fixed in advance and a clear decision at the end.
From the first call to scale
We work the same way on any market: model the economics first, then test, and only then grow volume.
Model the economics
Offer, geo, payout model, payback horizon. If a bundle does not add up on paper, no ad account will save it.
Test hypotheses
Fixed budget, fixed timeline, success criteria written down before the first dollar is spent.
Find the ceiling
We scale in steps and look for the volume past which quality stops holding.
Hold the volume
Scheduled bundle rotation, daily data reconciliation and a shared dashboard instead of monthly e-mail threads.
Documented launches
We publish the numbers and also what went wrong. A case without a failure section is usually useless to the reader.
A two-phase push traffic campaign to install the Shopee app in Vietnam: source discovery at $0.54 CPA, then whitelist scaling down to $0.34 CPA — a $0.40 blended CPA overall, $500 under budget.
First attempt at the Philippine market on a diabetes-focused nutra offer (Diabextan) via Facebook — $28,968 spent, $88,536 back, 205% ROI, $59,568 net.
First test of Telegram Mini Apps as a gambling traffic source into Russia — nearly 3,000 registrations in a month at a $3.10 CPA, scaling daily budget from $100 to $300.
What we write about the market
Breakdowns of verticals, geos and working mechanics — no universal advice and no promises of easy results.
Four offer-selection filters — unit economics, network reputation, fit with proven combinations, and a disciplined test — that filter out roughly 70% of offers before a euro is spent.
ReadWhat actually works in nutra traffic in 2025: deliberate niche selection, age targeting, a calmer creative tone, pre-lander quality, and horizontal scaling.
ReadBrowser-pixel-only tracking has been quietly losing accuracy for years due to ad blockers and iOS privacy changes. What server-side tracking (CAPI) actually fixes.
ReadLet us model your funnel before any spend
Tell us about the offer and the target market — we will come back with a volume estimate, a payout model and a test timeline.