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AI UGC

Who Is Actually in an AI UGC Video

The performer is a digital twin: a real actor who was filmed in a studio session, whose likeness and delivery can then be directed into new scripts. That is a different thing from an avatar invented by a model from a text prompt, and it is the reason the performance reads as a person rather than as a rendering.

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What this rests on

10,000+ real actors

Over 10,000 digital twins of real actors, originally filmed across every demographic.

Real human performance

Every video is built on a real filmed human performance rather than a synthetic character generated from a text prompt.

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You review every delivered video and approve, reject or extend it inside the platform.

Where the performer comes from

A digital twin is not a generated avatar

The two look similar in a thumbnail and behave differently in the first two seconds of a feed.

Digital twin of a filmed actor

  • Starts from a studio session with a specific person who took part and agreed terms.
  • Micro expressions, breath and timing come from a recorded human performance.
  • The same face can front an entire campaign, which is continuity a rotating creator roster cannot give you.
  • If somebody asks who that is, there is an answer.

Avatar generated from a prompt

  • Assembled by a model to look like a plausible person who does not exist.
  • Fast and cheap, and genuinely useful for checking whether a concept is worth producing properly.
  • Errors cluster in gaze, hands and mouth timing, which viewers detect long before they can name.
  • Nobody consented, because there is nobody to consent.

Consent and licensing

The part worth asking about

Any provider putting a human face in your advertising should be able to say where that face came from. It is a reasonable question and the answer is short when the answer is good.

Every digital twin here originates in a filmed session the actor participated in, under terms covering how their likeness may be used. No likeness is built by scraping public video, and no performer appears in advertising without having agreed to that use.

This matters commercially, not only ethically. A campaign built on a likeness whose provenance nobody can document is a campaign with an unbounded liability attached to it, and the moment it becomes a problem is the moment the campaign is working and visible.

Casting

Choosing a performer for a product

The instinct is to cast someone who looks like the target customer. That is a reasonable starting point and it is not the whole story. The performer has to be plausible as someone who would actually use the product, and plausibility is mostly about delivery rather than demographics.

Consider casting against the objection rather than against the audience. If the thing stopping people buying is that the product looks complicated, cast someone who reads as impatient. If the objection is price, cast someone who reads as careful with money. The performance does the persuading, so cast for the argument.

Then hold the choice. Rotating faces every week looks like variety from the inside and looks like noise from the feed. A recurring performer accumulates recognition, and recognition is doing work that no amount of new creative buys you.

Questions

Common questions

Did the actors agree to this?

Yes. Every digital twin comes from a filmed session the actor took part in, under terms covering how the likeness may be used. There is no scraping of public video and no likeness used without involvement.

Can I use the same actor across a whole campaign?

Yes, and it usually performs better than rotating faces. A recurring performer gives a campaign the continuity a single creator would, without rebooking for every variation.

How is this different from a stock avatar tool?

A stock avatar is generated to look like a plausible person. A digital twin is a specific person who was filmed. The difference shows up most in the first two seconds, which is where a paid social ad is won or lost.

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Ask which actors suit your product