01Make the signal
Creative production
Customer language becomes angles, creator-native ads, product films, and useful variation.
Hooks · UGC · AI video→A focused capability inside one connected GTM system.
AI video ads built for hooks, kill rules, and platforms · not film festivals.
Performance video is a learning system: more honest attempts, faster decisions, less romance about a single hero cut. AI compresses production time so you can afford that system.
We build ads for the first second, the offer, and the landing handoff · then measure like operators, not like a festival jury.
We do not invent client logos. We show process, honest ranges, and capability demos labeled as such until named cases are cleared.
A service only matters when it fixes the system.
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.
IN PRACTICE / AI VIDEO ADS
Each concept starts as a hypothesis: who it is for, which objection it answers, which metric would falsify it. Pretty without a hypothesis is decoration.
Platform specs are first-class: safe zones, caption density, sound-on vs sound-off, length bands that match how Meta and TikTok actually distribute.
We keep a living scorecard of hooks that win, fatigue, and transfer across SKUs · so creative direction is data-informed without becoming a dashboard cult.
When a winner emerges, we cut extensions, statics, and lifecycle companions from the same angle family so the brand does not fork three stories.
Claim and product accuracy get a hard stop. Speed never excuses a wrong ingredient list or a promise the store cannot keep.
The signal must move forward—and come back.
Creative production, paid learning, Shopify conversion, and AI operations share one learning loop. This capability takes the lead where the current constraint demands it.
02Read the signal
Paid learning
Spend is structured to reveal what message, format, and offer deserves the next iteration.
Tests · Decisions · Winners→03Carry the promise
Shopify conversion
Winning campaign language continues through landing pages, PDPs, offers, and lifecycle.
Landers · PDP · CRO→04Return the learning
AI operations
Research, versioning, reporting, and handoffs run in the background so the next brief starts smarter.
Agents · Automation · OpsLEARNING RETURNS TO THE NEXT BRIEF↖
What enters the system—and what should change.
Each output is designed to hand useful context into the next creative, media, commerce, or operating decision.
01DELIVERABLE
Angle and hook map
Persona × objection × offer grid before a single export.
02DELIVERABLE
Variant batches for Meta & TikTok
Multiple hooks, bodies, and CTAs finished for platform native specs.
03DELIVERABLE
Human edit and claim QA
Pacing, captions, product truth, brand safety.
04DELIVERABLE
Test matrix + naming
What enters learning, what scales, how assets are labeled in ads managers.
05DELIVERABLE
Creative scorecard
Weekly read on winners, fatigue signals, and next production priorities.
OUTCOMESWhat the loop is built to improve
- Higher attempt rate per learning dollar
- Shorter time from idea to live ad
- Documented reason codes on kills · not gut-only decisions
- Creative that matches landing and offer language
Diagnose. Ship. Measure. Compound.
The labels change by capability. The operating discipline does not: find the constraint, build a useful test, read the signal, and return the learning.
- 01↘
Brief from evidence
Pull language from reviews, site, support, and past winners.
- 02↘
Concept & matrix
Lock testable clusters and success criteria.
- 03↘
Produce & finish
AI volume + human edit + export packs.
- 04↘
Learn & rewrite
Feed results into next week's brief · not a quarterly postmortem.
COMMON FAILURE MODESWhat we refuse to repeat
One hero cut for everything
Platforms reward diversity; one film forces expensive fatigue.
Ignoring the lander
A killer hook into a confused page is a CAC tax.
No kill criteria
Keeping every ad 'alive' for politics kills the learning system.
05 / SCOPE MODEL
Start with the constraint, not a menu price.
Often a creative sprint plus monthly production retainer tied to attempt volume. Pairs cleanly with paid media management. 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 ↗06 / PRACTICAL ANSWERS
Straight answers
Scope, fit, process, and the constraints that matter before work begins.
01Meta only or TikTok too?
Both. Specs and cultural pacing differ; the underlying angle library can share DNA.
02Do you run the ads too?
We can pair with performance marketing, or hand finished packs and naming to your media team.
03How many variants per week?
Depends on learning budget and approval speed. We size production to what you can actually test.
04What assets do you need from us?
Product shots or 3D, offer facts, brand do-not-say, and access to review or support language when available.
07 / YOUR FIRST MOVE
Not sure ai video ads is the first move? Find the break.
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.
- Creative fatigue and angle review
- Campaign-to-store message check
- Prioritized next-test directions
- An honest fit read across ai video ads and the wider growth loop