Creative production
Customer language becomes angles, creator-native ads, product films, and useful variation.
Hooks · UGC · AI video→Global Markets
Local Hubs
All hubs →A focused capability inside one connected GTM system.
Performance marketing is not 'run ads.' It is a closed loop of offer, creative, media, and conversion · with someone willing to kill what does not work.
dongolabs runs demand as operators: we would rather recommend lower spend than babysit a weak campaign for optics.
We will recommend spending less when the math is weak. No invented case studies.
The work starts with the operating reality: what is slowing useful learning, where the promise breaks, and which intervention can produce a commercial signal next.
We start with unit economics and tracking integrity. If the pixel lies, every optimization is theater.
Channel mix follows the job: prospecting vs retargeting, brand search vs competitor conquest, Meta learning vs Google intent · not a trend deck.
Creative supply is part of performance. Accounts starve when media ops and production do not share a scorecard.
Weekly rituals force decisions: budget shifts, kill lists, next tests. Monthly decks without decisions are status, not growth.
Fully loaded CAC includes production and tooling when it matters · so finance and growth argue from the same number.
Creative production, paid learning, Shopify conversion, and AI operations share one learning loop. This capability takes the lead where the current constraint demands it.
Customer language becomes angles, creator-native ads, product films, and useful variation.
Hooks · UGC · AI video→Spend is structured to reveal what message, format, and offer deserves the next iteration.
Tests · Decisions · Winners→Winning campaign language continues through landing pages, PDPs, offers, and lifecycle.
Landers · PDP · CRO→Research, versioning, reporting, and handoffs run in the background so the next brief starts smarter.
Agents · Automation · OpsEach output is designed to hand useful context into the next creative, media, commerce, or operating decision.
Tracking, economics, creative inventory, funnel leaks.
Where learning spend and scale spend live.
What changed and why · in plain language.
Scorecards that tell production what to make next.
Continuity between ad promise and conversion surface.
The labels change by capability. The operating discipline does not: find the constraint, build a useful test, read the signal, and return the learning.
Access, tracking, historical spend, conversion path.
30-day learning agenda with kill criteria.
Daily/weekly ops with documented decisions.
Expand winners; restructure losers; update creative demand.
Bad attribution makes good teams look stupid and bad campaigns look fine.
You cannot optimize emptiness.
Cheap clicks into a muddled offer just scale confusion.
Monthly retainer sized by channel complexity and creative needs. Media spend is separate. See /services#investment for how engagements are structured.
Full working ranges live in the services engagement section. Exact quotes follow diagnosis, volume, markets, and technical constraints.
Start with the teardown ↗Scope, fit, process, and the constraints that matter before work begins.
Primarily Meta and Google; TikTok and others when the ICP and creative supply justify them.
Yes for real optimization. View-only audits are possible first, but ops needs proper roles.
Decision-oriented: efficiency, learning progress, what died, what scales · not vanity galleries.
Yes. We define the scorecard and briefs; your team can produce if volume and quality hold.
Send the store and a few current ads. We’ll identify whether this capability is the expensive constraint—or whether another part of the system should move first.