Angle and hook map
Persona × objection × offer grid before a single export.
Creative · Performance video
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.
In practice
How this actually shows up in a real engagement.
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.
Who it's for
Operators who need a system — not a one-off deliverable.
- Paid teams whose CPM is fine but creative dies every two weeks
- D2C brands launching offers that need many angles fast
- Operators who want Meta and TikTok creative under one system
Honestly not the best fit if…
- You want a single polished brand film with no paid test plan
- You refuse to share product facts and claim boundaries
What you get
Deliverables that connect to the rest of GTM.
Each line item is designed to hand off cleanly into creative, demand, brand, or product — not sit in a silo.
Variant batches for Meta & TikTok
Multiple hooks, bodies, and CTAs finished for platform native specs.
Human edit and claim QA
Pacing, captions, product truth, brand safety.
Test matrix + naming
What enters learning, what scales, how assets are labeled in ads managers.
Creative scorecard
Weekly read on winners, fatigue signals, and next production priorities.
Outcomes we optimize for
Numbers and behaviors — not vanity theater.
- 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
How we work
A clear loop — diagnose, ship, measure, compound.
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 modes
What we see break — and how we refuse to repeat it.
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.
Investment
How this is usually scoped.
Often a creative sprint plus monthly production retainer tied to attempt volume. Pairs cleanly with paid media management. See /services#investment.
Full ranges live on the services investment section. Quotes follow diagnosis — not a menu price list.
AI Video Ads FAQ
Straight answers
No theater — just how this service actually runs inside an AI-powered GTM studio.
Meta only or TikTok too?
Both. Specs and cultural pacing differ; the underlying angle library can share DNA.
Do you run the ads too?
We can pair with performance marketing, or hand finished packs and naming to your media team.
How many variants per week?
Depends on learning budget and approval speed. We size production to what you can actually test.
What 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.
Keep reading
Related pages and playbooks
Ready to run this as part of one GTM system?
Tell us the outcome. We'll name whether this lane is first — or if something else is leaking harder.
Start a project →