Multiply video variations
Turn a winning people-led ad into many new casts, scenes, interactions, hooks and CTAs while keeping the people realistic enough to run as ads.
↗Realistic people-led creative production
You can’t reliably predict a winning ad before testing.
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$$$Winnercapabilities↓
01 — SCALE CREATIVE TESTING
Generate more ads worth testing.Test faster.Scale what wins.
Adapt winners to more markets
Produce video and static versions for new languages, formats and placements. Change the cast and visual context where the market calls for it; preserve required copy and brand details.
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02 — VIDEO VARIATIONS
Produce video variations at scale. Keep people believable.
- Start from a winning ad or a strong market reference.
- Change cast, clothing, location, interactions, hook and CTA.
- Keep faces, skin and movement believable so the output is usable for testing.
Below: original videos alongside variations produced from them.
Set 01
One source performance, three new executions
Set 02
One concept, new people and settings
See more video examples +
Set 03
Same underlying idea, different scenes and characters
Set 04
Alternative cast and delivery around the same format
Set 05
One Spanish-language concept, two cinematic variations
Select any video to play it with sound. The source is marked in green.
03 — STATIC VARIATIONS
Turn one strong static concept into more ads to test.
- Try new compositions, messages and visual styles for the same offer.
- Produce the sizes and aspect ratios each placement needs.
- Keep brand elements, product details and offer terms accurate.
Below: examples of static variations and format adaptation.
See one more format example +
04 — MARKETS & FORMATS
Take winning ideasto more marketswithout rebuilding every ad.
- Adapt video and static to each language, placement and aspect ratio.
- Translate voice, captions and on-screen copy; sync lips when someone speaks.
- Automatically adapt the cast — ethnicity, gender, age, clothing and setting — to a defined market and audience.
- Let AI produce these versions quickly and at lower cost instead of rebuilding every ad manually.
Shown below: translation to another language with updated voice and lip sync. Deep localization can also adapt the cast and locations to the target audience.
Example 01
Horizontal source material
EN → ES
Example 02
Vertical social creative
EN → ES
05 — CONTEXT
The hard part shown here: people still look real at scale.
Faces, skin and movement must still look right when you make many versions. Product screens, illustrations, gameplay or exact offer copy need different checks. Stylized visuals may be simpler; the pilot verifies the actual quality, speed and cost in your business before any larger build.
06 — TAILORED PILOT
Test whether your business can produce more usable ads, faster and at a viable cost.
- Quality: what makes a video or static ad good enough to run in your business?
- Variation: what should change to create distinct candidates for testing?
- Economics: how many usable ads do you need, how fast, and at what cost per ad?
Define the business need
We look at your video and static ads. You tell me what makes them usable, what changes are worth testing and what volume your team needs. No formal brief is required.
Agree on a paid pilot
We choose source concepts and variation dimensions, then agree on target output, quality checks, timeline and price before building anything.
Test in your business context
I adapt the pipeline and deliver a batch of varied ads. We count usable outputs and measure turnaround and cost per usable ad. Your team decides whether the process is worth scaling.
If the pilot works, choose how to scale production
07 — WHY WORK WITH ME
Dima
Zenevich
I build AI systems that help performance teams test more creative candidates and scale winning ideas across markets and formats. My focus is usable output volume, quality, turnaround and cost per creative.
At a large consumer subscription company, AI-powered creative workflows I helped build produced hundreds of creatives per week and contributed to $4M in incremental profit within six months.
Proven in weekly production
The system serves a consumer apps business with 25M+ users. Its output is used by a real marketing team, with production quality, volume and cost constraints.
Experience scaling creative operations
At Wargaming, I built a framework for working with external development and creative studios. Today I build AI production systems myself, from the workflow to the operating tools.
A pilot you can judge on usable output
We agree what counts as an accepted creative, then measure usable volume, turnaround and cost per accepted ad. Your team evaluates the result before committing to a larger rollout.
Test more usable ads.
Scale what works.
Let’s discuss what your business needs to make video and static ads at scale: the quality bar, useful variations, markets and formats, target volume, turnaround and cost per usable ad. Then we can scope a pilot to test whether the pipeline meets your economics.