Nood · paid social
$8.2M
first-time revenue from three ads at a 3.00 ROAS, and $10M in lifetime customer value.
Read the case study
AI AD CREATIVE
Ads built to stop the scroll, and earn their spend.
We produce high-volume, on-brand ad creative, static and video, with AI speed and human craft; then test it in-market so you know what actually converts.
3 seconds
the window in which a video ad earns or loses the view
55–70%
of the frame the product should fill in a static, the range our data keeps confirming
10–15
new ad creatives per week on a scaled account
6.21x
ROAS during peak months for Daniel Patrick, creative-led paid media (published case study)
Trusted by brands that live and die by creative performance.
The algorithm eats creative. Without a steady pipeline of fresh hooks, frequency climbs, CTR drops, and CAC creeps up. Most brands can't produce fast enough, and the ads they do make never get tested properly.
This page is one part of our AI creative agency.
AI ad creative is paid advertising creative, static and video, produced with generative AI under human direction and built specifically to convert on Meta, TikTok, Google and AppLovin. It is not AI-generated art: every asset starts from a strategist's brief and hypothesis, is edited and approved by a creative director, and is judged in the account on hook rate, click-through and cost per result.
Not a template tool. Software fills a layout; it does not choose the hook.
Not a stock library with AI captions. Creative that ignores the offer and the audience stage fatigues in days.
Not a one-time batch. Ad creative is a pipeline, and the account starves the week it stops.
New angles and fresh hooks on proven bodies, produced in batches.
Built around the first three seconds, cut for the placement.
A static that moves, for a fraction of a video's cost.
On-brand product frames that carry the offer across the catalog.
Promotions, launches and sale periods, ready before the calendar hits.
On-brand at 55–70% product visibility, built to Meta and TikTok specs.
Five parts, in the order the viewer meets them. Every brief we write specifies each one.
01
the first three seconds, or the first line of a static. A problem the buyer recognizes, a number, a contradiction, a demonstration. Aspiration without a hook is the most common failure on cold traffic.
02
name what hurts before showing what helps. In our accounts, problem-first openings beat aspirational openings roughly two to one on cold audiences.
03
the product visible early and large, 55 to 70 percent of a static frame; below that, click-through drops and the ad reads as lifestyle content.
04
a single, specific, defensible benefit. Two claims split the message; a vague claim earns nothing.
05
the call to action matches the awareness stage: learn for cold, shop for warm, buy for hot.
Callout
Captions on every video, because most of it is watched without sound. Built to the placement, 9:16 for Reels and Stories, 4:5 and 1:1 for feed, with safe zones respected.
Every batch ships with a hypothesis; we launch it, read hook rate and ROAS, kill losers, and iterate on winners. launch & scale it.
Statics win on efficiency: cheapest to produce at volume, fastest to iterate, and in most accounts the lowest CPM. Video wins on scale once a concept is proven, because it can carry more of the story and hold attention longer. Motion sits between them: a static that moves stops more thumbs for a fraction of a video's cost. The mix is not a preference; it is read from the account every month and shifted toward whatever is earning its spend.
In practice the format follows the job. Cold prospecting usually needs video, because a stranger has to be told what the problem is before the product means anything. Retargeting usually needs statics, because the buyer already knows the product and only needs the offer, the proof or the reminder. Catalog and seasonal frames sit underneath both, carrying the range while the tested concepts do the persuading.
A concept is a new bet: a new angle, a new problem, a new format. An iteration is a proven concept with a new hook, a new opening frame, a new headline. Most of a healthy pipeline is iteration, because iterations on a winner outperform fresh concepts most of the time. Fresh concepts are how the next winner is found, so they never stop; they are simply the smaller share.
The concepts that are worth betting on come from awareness stages rather than from taste. A cold audience needs the problem named, a warm audience needs the objection answered, a hot audience needs the offer made plain. Laddering the angles that way means the pipeline covers the whole account instead of producing five versions of the same message for the same buyer.
Fatigue shows up as frequency climbing, click-through falling and cost per result rising on the same creative. By the time it is obvious in the account, the next batch should already be live. That is why the cadence is fixed in advance: new hooks on the proven body every week, a new concept batch on a set rhythm, and no winner left to carry the account alone.
The other half of the problem is dependency. When one creative is carrying most of the spend, its decline is the account's decline, and there is nothing tested and ready to take the budget. Keeping several proven concepts live at once costs a little efficiency in the short term and removes the cliff, which is why volume exists at all: to have the next winner already found.
A Reels ad, a feed ad and an AppLovin interstitial are different objects. Safe zones differ, the first frame differs, the length that holds differs. We produce for the placement from the brief, which is where AI earns its keep: dozens of format-native variants from one concept, each edited and approved before it runs.
On-brand at that speed is a systems question, not a talent question. Your guidelines, palette, type, product references and claim rules are loaded before anything is produced, so the variants start compliant instead of being corrected afterwards. A creative director still approves every asset before it runs, which is the step that keeps volume from turning into brand damage.
Judge a creative on the metric that matches its job. A top-of-funnel ad is read on hook rate, reach and the lift it gives the ads below it. A bottom-of-funnel ad is read on direct cost per result. Read considered purchases on a seven-day click window, not last click. Give a creative enough spend and days to be judged at all before calling it a loser. The full method is on our AI performance creative page.
Two habits protect the read. Change one variable at a time, so a result names the idea that worked rather than the file that happened to win. And log every loser with the hypothesis behind it, so the same angle is not quietly re-tested next quarter under a new name.
A hook rate above roughly thirty percent on video; click-through that holds while frequency climbs; cost per result flat or falling as spend rises; no single creative carrying more than a fifth of the budget. When those four hold, the pipeline is working. When any one slips, the next batch is already briefed.
Published example: Nood, three ads carried $8.2M in first-time revenue at a 3.00 ROAS, creative that kept converting as spend scaled. Read the case study.
Book a Creative Strategy CallThe internet is filling up with AI slop. We don't ship it.
Every asset is human-directed, briefed by strategists, refined by creatives, approved before it runs.
On-brand, always, your voice and guidelines are the guardrails the AI works inside.
Accountable to performance, if it doesn't earn its spend, it doesn't stay live.
By cadence, not by asset. We agree the number of new creatives per week the account's spend requires, the mix of concepts and iterations, and whether WKND also runs the media. You know the number before the first brief.
Monthly retainer, scoped to the number of new creatives per week your spend requires.
Ask for the number
Retainer plus a media fee, one team accountable to ROAS.
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For accounts above $200K a month, priced on cadence.
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Nood · paid social
$8.2M
first-time revenue from three ads at a 3.00 ROAS, and $10M in lifetime customer value.
Read the case studyDaniel Patrick · paid media
6.21x
peak ROAS from master ad creative; AOV up 15% and media efficiency up 13% year over year.
Read the case studyClocks & Colors · full service
28%
higher AOV year over year, with 13% more repeat purchases from narrative-led creative, email and SMS.
Read the case studyBook a creative strategy call, we'll audit your current creative and show you what AI-native, performance-led production looks like for your brand.
A strategist who reads the account and writes the brief, a creative director who selects and edits every variant, and an editor who cuts for the placement. AI produces the volume between them.
Reads the account every week and writes the brief: the bet, the hook, the claim and the format for every batch.
Selects and edits every variant, protects the brand system at volume, and approves nothing on the model's judgment alone.
Cuts and captions for each placement, 9:16, 4:5 and 1:1, so every variant is native to where it runs.
01
what is live, what has fatigued, what has never been tested
02
the bet, the hook, the claim, the format
03
format-native variants, human-edited
04
one consolidated test structure, fixed read window
05
hook rate, CTR, cost per result by creative
06
winners get new hooks, losers are logged and never re-tested
Book a creative strategy call, we'll audit your current creative and show you what AI-native, performance-led production looks like for your brand.