Personalised AI videos

Personalised celebrity videos at scale

A personalised AI video takes one licensed recording from a celebrity and generates a version of it for every customer on your list, each addressing them by name, city, order or renewal date. It solves a problem CRM teams have had for years: personalisation works, but video is the format people actually watch and the one you could never personalise. The part that matters more than the technology is the permission — every face and voice we synthesise is licensed from that person in writing, for that use, which is the difference between this and the deepfake problem it superficially resembles.

Why it works

What you are actually paying for

It attaches a recognisable face to a moment that is usually a template. A renewal reminder from a celebrity who uses your customer's name is a different object from the same reminder as an email.

It scales a thing that could not be scaled. Booking a celebrity to record thousands of individual messages is impossible; recording once and generating from it is routine.

It lands in channels built for it. WhatsApp and SMS carry video well in India, and a personalised clip is far more likely to be opened and forwarded than a broadcast one.

It is measurable like CRM, not like brand. Every send is attributable, so the campaign can be judged on open, watch and conversion rates against your existing baseline.

Formats

What you can actually book

What each format includes, so you can scope a budget before you talk to anyone.

The recording

A single session with the celebrity, scripted so that the personalised variables sit in natural places rather than being bolted onto a generic message.

  • Studio session with the celebrity
  • Script built around the personalisation fields
  • Written licence covering synthesis of face and voice for this use
  • Defined term and defined channels

Personalisation fields

What changes between versions. More fields is not better — one or two used naturally outperform a message stuffed with inserted data.

  • First name
  • City or region
  • Language, where multiple versions are recorded
  • Order, product or plan reference
  • Date — renewal, delivery or anniversary

Generation and delivery

Videos are generated in bulk from your list and delivered through the channel you already use to reach these customers.

  • Bulk generation from a supplied customer list
  • Delivery via WhatsApp, SMS, email or in-app
  • Unique link per recipient
  • Delivery and watch reporting per send

Where it is used

The moments where a brand already writes to a customer individually, and where a face lifts a routine message.

  • Welcome and onboarding
  • Renewal and win-back
  • Festive and birthday greetings
  • Order confirmation and delivery delight
  • Dealer, partner and employee recognition
How it works

What happens after you send the brief

  1. 01

    Use case and list

    Which CRM moment, which audience and what the message has to achieve. The moment matters more than the celebrity here — a well-chosen trigger with a mid-tier name beats a famous face on a message nobody was waiting for.

  2. 02

    Casting and licensing

    The celebrity agrees to synthesis explicitly, in writing, for this use, these channels and this term. No synthesis happens without it.

  3. 03

    Script and record

    Scripted so the personalised fields sit naturally, then recorded in one session.

  4. 04

    Build and test

    A sample set generated and reviewed — including the awkward cases, because names and places are where this breaks if it is going to.

  5. 05

    Generate and deliver

    Bulk generation against your list, delivered through your chosen channel, with reporting per send.

What is a personalised AI celebrity video?

It is one recording, licensed from a celebrity, used to generate many versions that each address a specific person. The celebrity records once; synthesis handles the variable portion, so a hundred thousand customers can each receive a video that uses their own name without the celebrity recording a hundred thousand times.

The nearest familiar comparison is a mail merge, except the output is video and the sender is someone the recipient recognises. That combination is why it performs: personalisation lifts response rates in every channel it has ever been applied to, and video is the format people actually finish.

Is this legal, and is it the same as a deepfake?

No, and the distinction is consent. A deepfake synthesises a person without their permission. Everything here begins with a written licence from the celebrity covering synthesis of their face and voice, for a stated use, on stated channels, for a stated term. Without that licence there is no project.

This matters more in India than it did a few years ago. Courts here have moved to protect public figures' personality and publicity rights specifically against unauthorised AI reproduction, and the direction is towards stronger protection rather than weaker. A brand that commissions synthetic media of a real person without documented permission is exposed regardless of who built it — so the licence is not paperwork, it is the thing that makes the campaign safe to run.

Our position is simple: we will not synthesise anyone who has not agreed to it in writing for that specific use, and we will not extend an old licence to a new use without going back to them.

What do you need from the brand?

A customer list with the fields you want personalised, a channel to deliver through, and a clear trigger. The list is the part to plan properly: personalisation fails loudly when the data is wrong, and a video that greets someone by the wrong name is worse than one that greets nobody.

You also need a lawful basis to message those customers, which is your existing CRM consent rather than anything specific to this format. Personalised video does not change who you are allowed to contact — it changes what you send them.

How many personalisation fields should you use?

Fewer than brands expect. One or two, placed naturally, read as a message meant for that person. Five, inserted mechanically, read as a database talking — and the uncanny effect undoes the warmth the celebrity was hired to supply.

Name plus one contextual field is the reliable combination: name and city, name and renewal date, name and product. The second field is what proves the message is specific rather than merely templated.

Should the video say it is AI-generated?

Our recommendation is yes, visibly, and the reasons are practical as much as ethical. Expectations around labelling synthetic media are tightening across platforms and regulators, and a label added now costs nothing while a campaign retrofitted later costs a rebuild.

It also tends not to hurt. Recipients understand that a celebrity did not personally record a video for each of them; the appeal is that the brand went to the trouble, not that anyone was fooled. Labelling removes the one outcome that would genuinely damage the brand — a customer discovering it themselves and concluding they were being tricked.

Before you commission

Synthetic media of a real person sits on consent. Every face and voice we generate is licensed in writing from that person for the specific use, channels and term, and a new use means going back to them rather than reading the old licence generously — Indian courts have been strengthening personality and publicity rights against unauthorised AI reproduction, and a brand that commissions synthetic media without documented permission carries that exposure whoever produced it. Separately, personalisation runs on customer data, so your existing consent to contact those customers is the basis for the send and India's data protection regime applies as it would to any other CRM campaign. We recommend labelling the output as AI-generated. This is orientation, not legal advice.

Questions we get asked about personalised ai videos

Is a personalised AI celebrity video a deepfake?

No. The distinction is consent. A deepfake synthesises someone without permission; everything we produce starts from a written licence from the celebrity covering synthesis of their face and voice for that specific use, those channels and that term. Without the licence there is no project, and an old licence is not stretched to cover a new use.

What do you need from us to run this?

A customer list carrying the fields you want personalised, a delivery channel, and a clear trigger moment. Your existing CRM consent is the basis for contacting those customers — this format changes what you send, not who you are allowed to send it to. Plan the data carefully: a video that greets someone by the wrong name is worse than no video.

How many videos can be generated from one recording?

The recording is the fixed cost and generation scales from it, so volume is a question of your list rather than of studio time. That is the entire economic argument for the format — booking a celebrity to record thousands of individual messages is impossible; recording once and generating from it is routine.

Should we tell customers the video is AI-generated?

We recommend yes, visibly. Labelling expectations are tightening across platforms and regulators, a label costs nothing now and a retrofit costs a rebuild. It also tends not to hurt the campaign — recipients know the celebrity did not record each one personally, and the appeal is that you went to the trouble. Labelling removes the only outcome that really damages a brand: someone working it out and feeling tricked.

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