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.
Meta rewards creative diversity and punishes fatigue. We build for that reality.
dongolabs pairs media ops with a UGC and AI factory so the account is never starved of tests · and tracking is honest before scale.
We do not invent client logos. Capability demos are labeled until named cases are cleared.
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.
Campaign structures support hook-level learning without turning the account into unreadable chaos.
Creative iteration is scheduled, not improvised after CPMs spike and finance panics.
Advantage-style and manual structures are chosen for the job · not fashion. Tools change; testing discipline remains.
Reporting separates learning spend from scaling spend so stakeholders see signal instead of blended mush.
Landing continuity is non-negotiable: we refuse to scale spend into pages that break the promise.
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.
Learning vs scale architecture.
Events you can trust.
Budget, audience, and placement decisions logged.
Intake from production, scorecards out.
Where Meta traffic fails on-site · for CRO/product.
The labels change by capability. The operating discipline does not: find the constraint, build a useful test, read the signal, and return the learning.
History, tracking, creative inventory.
Structure and naming that support tests.
Ship creative, kill losers, protect winners.
Expand only with supply and landing ready.
Fatigue is not a surprise; it is physics.
Meta will efficiently find the wrong people.
Approvals must match learning speed.
Monthly management; often bundled with creative production for velocity. Media spend separate. See /services#investment.
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.
We adapt structures as the platform evolves; testing and creative supply principles stay stable.
Yes · we can own creative supply and strategy while collaborating on account ops.
Enough to learn. Tiny budgets with huge ambition create noise, not insight. We will say so.
Deeper Meta specialization plus creative factory integration.
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.