Illustrative imagery

Consumer health2023Ongoing, set up in 3 months

Global content production from one master asset

Client: A global consumer-health brand

A film crew at work on a set in a large brick warehouse: cameras, lights, a monitor station and a presenter seated on a stool.
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  • Campaign & Content Design
  • AI Design
  • Marketing Technology

At a glance

The brief. Make each asset once, then adapt it for every market.

Client
A global consumer-health brand
Year
2023
Duration
Ongoing, set up in 3 months
Scale
Master assets for every market

Picture story

Master assets, shot and edited once for every market.

These pictures are illustrative: licensed stock photography and code-built mock-ups that show the setting, not the client’s own work. Credits are at the foot of the page.

A wide view of a soundstage with lighting rigs overhead and a crew around cameras and monitors.
Fig. 01Masters made once, centrally.Brands&People on Unsplash (opens in a new tab)
A camera crew crouched around a rig in shafts of blue light on a dark set.
Fig. 02Every set-up planned for adaptation.Daniel on Unsplash (opens in a new tab)
A black-and-white photo studio scene: a photographer adjusts a model’s dress beside a large light.
Fig. 03Shot lists cover every market’s formats.Leng Chan on Unsplash (opens in a new tab)
A white tent studio with a camera on a dolly, stands and lights ready for a product shoot.
Fig. 04Product set-ups repeat across markets.Voyage Pro on Unsplash (opens in a new tab)
An editor in headphones works at a monitor in a dark edit suite.
Fig. 05AI assists adaptation; a market reviewer approves.Mark Cruz on Unsplash (opens in a new tab)
Close-up of a video editing timeline with blue and purple clips and audio tracks.
Fig. 06Every cut keeps its source and its rights.Peter Stumpf on Unsplash (opens in a new tab)

More pictures 2

  • A film crew gathered around a camera on a dark set, lit from one side.
  • A monitor in a dark room showing video editing software with a timeline and a preview window.

On screen

The asset library and review queue, where a person approves every version.

Illustrative, code-built screens of the kind the programme produced, not the client’s own. Open any of them full screen.

Illustration: an asset library with a grid of video and photo thumbnails and, for the selected master, its markets, channels, usage rights and expiry date.
DesktopOne library: every master with its rights, markets and expiry.
Illustration: a market review queue on a tablet listing adapted versions with their claims checks: two approved, two waiting for a reviewer and one returned with a note.
TabletThe market review queue: AI-drafted versions wait for a person.

From brief to result

How the production model was built, from master to market.

The brief in full, our approach, what we built and what it set out to change.

The brief, in full

Each market commissioned and shot its own content, producing the same message many times over. Claims were checked separately each time, and no record showed who could use what, where and until when.

The brief: make each asset once, then adapt it for every market.

Our approach

We moved to a hub-and-spoke model: each master asset is made centrally, adapted per market and checked against that market’s approved claims.

AI drafts the market versions and a market reviewer approves each one. Every asset sits in one library with its usage rights and expiry date.

How it ran

  1. Weeks 1–4Model

    The production operating model, and who approves what.

  2. Weeks 3–10Library

    One asset library with rights metadata: markets, channels, expiry.

  3. Weeks 6–12Adaptation

    AI-assisted adaptation with claims checks, and the market review queue.

  4. OngoingRunning

    Masters produced centrally; markets adapt and approve.

What we built

A hub-and-spoke production model: one master asset, market versions checked against approved claims, and one asset library with usage rights.

What we delivered

  1. Production operating model
  2. Adaptation workflow
  3. Asset library and rights metadata
  4. Market review queue

What changed

The model is set up so each master is made once and every market version is claims-checked, approved by a person and tagged with its rights.

The measures below are read per market. Figures are published only with the client’s approval.

How it is measured

Outcomes

Judged market by market, on reuse, speed and exceptions.

What each measure is compared with, when it is read and who reports it, with results once the client approves them.

The measurement plan

  1. Adaptations per master asset

    Compared with
    Assets commissioned per market the year before
    Read
    Quarterly, from the asset library
    Result
    Awaiting approval Reported by The executive producer
  2. Turnaround per market

    Compared with
    Median days from master to market-ready, before the hub
    Read
    Each campaign
    Result
    Awaiting approval Reported by Market reviewers, from the review queue
  3. Rights and claims exceptions

    Compared with
    Exceptions logged in the year before
    Read
    Monthly
    Result
    Awaiting approval Reported by The asset librarian

Results

Figures pending client approval

We publish results only with the client’s written approval. Until then, the programme is judged on the plan beside this, which we can walk you through under NDA.

Credits

The team and the pictures.

People are named only with their agreement.

Team 7 people

  • Executive producer × 1
  • Producers × 2
  • Editors × 2
  • AI production specialist × 1
  • Asset librarian × 1

Credits

Strategy, design and engineering
Xterra Edze
Screens and before-and-after views
Xterra Edze (code-built illustrations)
Photography
Licensed stock from Unsplash, credited picture by picture

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