Household A
She’s after the perfect pour... and the shot of it, on the gram, by 9am.
Master asset locked
creative variant 0417
They’re not your audience. They’re one household, with one reason.
Brands shoot one spot for millions of households because true one-to-one creative has never been possible. Now it is.
The viewer is the main story. Make your product their hero.
One machine. Two completely different purchases.
Household B
London markets open at 4am. Millions are moving. His brain needs to open first.
One commercial. Which one stops watching?
Both do. Keep running that same story at a million more households tonight.
Or run the ones they already want to buy.
Book a DemoThe uncomfortable truth.
Think about what happened. We couldn’t make a different commercial for every household, so we sold ourselves a story. We got really good at babysitting two or three perfect spots and called it personalization, and then called it a night.
That was a production constraint. Not a law of marketing.
Now imagine what you do when that constraint disappears.
Master asset lock
You lock what shouldn’t change.
Your approved master asset anchors every creative. Product geometry, logo and IP stay identical in every variant.
Motivation-driven rendering
You change what should.
We render the environment and narrative around what matters to the household, then position your product as the resolution.
Computational scale
You scale what couldn’t scale before.
Generate thousands to millions of distinct creatives at household scale ahead of activation, ready for your programmatic pipeline without putting generation in the bidstream.
You’ve got 30 seconds to make it count. Do you really think they want your product because it rained?
We didn’t think so either. Weather is context. Motivation is personal.
Legacy DCO spots
- Swap text and components on a blank template
- The same sterile backdrop and narrative for every viewer
- Treat context such as weather as a signal and a background color as a solution
- Stop at the segment level
- Two or three spots, rotated until they burn out
MainStory AI
- Renders a dynamic, photorealistic environment around your product
- A new world built for each household, not a new headline
- Treats motivation as the signal. Leverages psychology, interests, and intent
- Resolves to the household level
- Millions of variants, your master asset locked in every one
And if you actually sell umbrellas, we’ll still beat the forecast.
Render My Product
Frequently asked questions
Overview
What does MainStory AI do?
MainStory AI is a dynamic creative optimization (DCO) layer that sits on top of a DSP or CTV platform's existing identity and behavioral data. Instead of swapping creative by audience segment, it generates household-level video variants, with different storylines built from each household's interests and context, and delivers them through your current programmatic pipes.
Who is MainStory AI built for?
DSPs, CTV and streaming platforms, and similar activation environments that already have rich identity graphs and behavioral signals but still serve largely one-size-fits-all creative. MainStory AI is a layer for platforms, not a direct-to-brand product.
How is this different from standard DCO?
Traditional DCO swaps components (price, product, logo) inside a fixed template, matched to audience segments. MainStory AI generates the narrative itself, including the arc, framing, and tone, at the household level, then renders it to video. The difference is granularity, generation, and the integration of human psychology, not asset assembly.
How it works
What's the underlying technology?
Transformer-based models translate identity, demographic, and behavioral signals into narrative blueprints, which are rendered into household-specific video optimized for CTV latency. Real-time feedback loops tune creative precision over the course of the flight.
Do we have to re-platform or rebuild our pipeline?
No. MainStory AI is designed to run on top of your existing DSP and delivery setup, using your current identity and delivery infrastructure.
How do you handle CTV rendering latency?
Generation and rendering are optimized to fit within your existing CTV delivery window.
What creative inputs do you need from the brand?
Typically brand assets, messaging guardrails, and approved narrative boundaries. These constrain what the models can generate, so every variant stays on-brand.
Will the AI hallucinate or change our product?
No. We train custom models on your master brand asset and strictly lock its geometry, logo, and lighting, guaranteeing brand safety and consistency across thousands of variants.
Data & privacy
What data does MainStory AI use?
MainStory AI operates on the behavioral segments and identity signals your platform already holds. It's designed to work from your existing data rather than requiring new collection.
How does MainStory AI handle sensitive data and consent?
MainStory AI processes signals under your consent framework, honors your opt-out and data-subject-request obligations, and does not target on sensitive categories.
Measurement & pilot
How do you measure lift?
MainStory AI plugs into your existing attribution and analytics frameworks, and its feedback loops optimize creative during the flight.
What's involved in the 30-day pilot?
A 30-day pilot runs MainStory AI's DCO layer on live inventory so you can evaluate household-level personalization against your current creative, measured in your own analytics stack.
Still have questions? Email [email protected]
It’s easy to find 30 minutes when we’re all burning millions on impressions nobody watches.
We’re taking a handful of Q1 pilots, one per category. Not every category clears. The economics have to work, the signals have to support it, and the rules have to allow it.
Thirty minutes tells us both whether yours is one.
The advantage isn’t having it first.It’s having a year of results before everyone else starts.
See if your category fits