Case study

How Primark scales content localization across 18 locales

Pink Stridez VeloRun shoe with "Publish" button and two other shoe options.

Eighteen locales. Thirteen new articles a month. And one small team that doesn’t speak 18 languages.

That’s the content localization challenge Primark, the international fashion retailer with over 400 stores worldwide, handles with Amplience CMS, part of the Amplience Content Operations Platform. Content is created once in English, translated through automated workflows, adapted for each market and kept up to date across every locale, without the team growing to match.

Key takeaways

  1. Primark, the international fashion retailer, runs content localization for primark.com across 18 locales on Amplience CMS, part of the Amplience Content Operations Platform.

  2. Content is created once in English, and workflow statuses in Amplience CMS automatically send it to Primark’s translation agency and drop the translations back into every localized version.

  3. A mass update workflow carries image and product changes across all locales in one action, without paying to translate the same copy again.

  4. In a proof of concept with Amplience Workforce, Primark created 70% more product descriptions a day and 150% more SEO articles a month, and saved 9 hours a month on alt text.

  5. Article output has grown from three a month to 13, while a content audit is merging duplicate articles so Primark stops competing with itself in search.

Why content localization at Primark kept getting harder

Primark keeps expanding, but its digital design team is still small. The team is led day to day by Jordan Longhurst, Primark’s Digital Design Lead. New markets keep launching, with Hungary and Slovenia among the most recent, so the same team now manages content for 18 locales. Everything starts in English, in the UK master locale, and has to be translated and adapted before it can go live anywhere else. Every new locale means more content to translate, check and keep up to date.

Not every locale needs the same content at the same time. Primark sorts its locales into three tiers. The UK is tier one. Tier two covers mostly European markets with a large store presence. Tier three covers markets with only one or two stores, which may not get every collection. The UK’s content is updated at least once a week and tier three’s roughly once a month, while major campaigns go out to every locale at once.

Even within a tier, content often has to change by market. Some products aren’t sold everywhere, influencer campaigns that work in one country may mean nothing in another, and the assets Primark can use sometimes differ from one market to another.

The volume of editorial content keeps growing too. Five years ago, the team published three articles a month. Now it’s 13, covering everything from new and sustainable collections to Primark’s adaptive clothing range and styling guides that answer common searches, like what to wear to a spring wedding.

How Primark built a localization workflow in Amplience CMS

Automated translation workflows in Amplience CMS

Primark uses workflow statuses in Amplience CMS to drive its translation process. Once content is ready in the master locale, the team localizes it for the tiers it needs, then sets a translation status. That status triggers webhooks that send the content to Primark’s translation agency through the API, either as an express request or a standard one, which takes two to three days.

From there, it runs automatically. The status changes to translation in progress, the translations drop back into every localized version when they’re ready, and the status updates to translation complete. If a status hasn’t been set, the content doesn’t go live, so errors are easy to spot.

Diagram showing bulk image workflow steps: remove background, adjust aspect ratio, and generate alt text.

Ecommerce localization for each Primark market

The same workflows let the team choose which content goes to which market. Primark doesn’t sell much skincare in the US, for example, so skincare content isn’t sent there.

Campaigns can vary by market too. Primark recently launched a collection created with a Spanish influencer who isn’t as well known outside Spain. Every region got a general campaign shoot showing the collection, while Spain also got a shoot featuring the influencer herself.

Mass updates across 18 locales without paying to translate twice

Products sell out and carousels need refreshing. If every small update had to go back through translation, Primark’s translation costs would keep climbing. So the team built a mass update workflow. One change in one locale carries across to every other locale automatically.

It only updates linked content, such as images from Amplience DAM and product information. It never touches copy, so there’s no risk of English text appearing in another language’s page.

AI alt text in Amplience DAM that knows the Primark brand

Every image on primark.com needs alt text, for accessibility and for SEO. Writing it by hand took about two minutes per image, with at least nine images per article and more on every banner in every region.

Primark tested AI-generated content with Amplience Workforce in a two-month proof of concept, starting with a workshop day for around 30 people. Month one covered product descriptions, alt text and SEO articles in English, and month two tested AI translation of the same content. The team scored every output out of five across six areas, from brand consistency and product accuracy to how often they had to regenerate it, and reviewed the scores with Amplience every week.

Because Amplience isn’t tied to a single AI model, Primark could compare several, and it tests new ones as they launch before switching. ChatGPT worked best for informational content like size guides. Claude became the team’s favorite for alt text and product descriptions, because it described the clothes in far more detail, from print and pattern to cut and style, and sounded more like Primark’s own writers.

Licensed ranges, such as Disney and Marvel, come with strict rules from each brand on how products and characters can be described. Primark set up a separate brand in Amplience Workforce for each license, so all of its rules sit in one place. That meant far less editing for the team at the end.

Now, alt text is generated automatically as images are uploaded to Amplience DAM, pulled straight into content and translated as part of the same workflow.

It has taken away a part of their job that shouldn’t have even sat with them anyway.
Jordan Longhurst, Digital Design Lead, Primark

A content audit for fewer, stronger Primark articles

More output doesn’t always mean more pages. Primark used to publish a new article every time it reshot a familiar product, like its Christmas onesie. Over time, those articles started competing with each other in search. The team is now running a content audit across thousands of pages, merging duplicates and updating existing pages instead of creating new ones. Because content in Amplience CMS is structured and reusable, the team can refresh what’s already there rather than starting from scratch each time.

What’s changed for Primark with Amplience

MeasureResult
Article outputUp from three a month to 13 a month
Product description output70% more per day during the Amplience Workforce proof of concept
SEO article output150% more per month during the Amplience Workforce proof of concept
Alt text9 hours a month saved during the Amplience Workforce proof of concept

For Jordan, the point of all this automation is to take repetitive tasks off the team. Primark’s designers can now focus on design and on building new workflows with Amplience, instead of writing copy they were never hired to write.

The writers have come round to AI too. Jayne Bibby, Primark’s Senior Digital Content Manager, who oversees the editorial and digital design teams, says the proof of concept eased early fears about AI taking jobs and showed the team how much it still needs them.

All of those human editors we have in-house have become more important than ever.
Jayne Bibby, Senior Digital Content Manager, Primark

What’s next for Primark’s content operations

As of September 2026, Primark is preparing a brand refresh for primark.com, its first since the current site launched four years ago. With much of the redesign happening in Figma, Amplience’s newly launched Figma integration is a natural next step for the team.

Primark also wants to get more from AI. As an innovation partner for Amplience Workforce, it has a direct line to Amplience’s product team and input into its roadmap, and is working with Amplience on agentic AI workflows for product descriptions, social captions and translations. Next on the list are more contextual product descriptions and AI-powered hotspots that make editorial images shoppable.

Women's Foam X1775 running shoes, priced at $80. Descriptive tags highlight features.

Watch Primark at Amplify: Agentic Commerce Live

In the full session on the Power User stage at Amplify, Jordan walks through Primark’s translation workflow, its mass update process and how AI alt text changed the team’s day-to-day work.

More locales. Same team. No compromise.

If every new market means more manual work, it’s time for a better workflow. We’ll show you how the Amplience Content Operations Platform helps your team scale content localization without scaling headcount.

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Frequently asked questions

Primark uses Amplience CMS, part of the Amplience Content Operations Platform, as the multilingual CMS for primark.com across 18 locales. It also uses Amplience DAM for images and AI-generated alt text.

Primark manages content localization by creating content once in English and using workflow statuses in Amplience CMS to send it to a translation agency through webhooks. Translations drop back into each localized version automatically, and locales are grouped into three tiers so each market gets the content it needs.

A localization workflow is the process a business uses to adapt content for different languages and markets, from translation to review to publishing. At Primark, workflow statuses in Amplience CMS automate the handoff to translators and back, so the team can see where every piece of content is at a glance.

Retailers can update linked content, such as images and product information, across every locale at once without re-translating copy. Primark does this with a mass update workflow in Amplience CMS that carries image and product changes everywhere but never touches copy.

Primark generates alt text automatically as images are uploaded to Amplience DAM, using Claude with prompts that include Primark’s brand guidelines and the rules for licensed ranges. The alt text is then pulled into content and translated as part of the localization workflow.

Primark uses Claude for alt text and product descriptions after testing it against other models, including ChatGPT. Claude described the clothes in more detail and sounded more like Primark’s own writers, while ChatGPT worked best for informational content like size guides.

Primark ran a two-month proof of concept with Amplience Workforce, testing AI-generated product descriptions, alt text and SEO articles in English in month one and AI translation in month two. The team scored every output against six criteria and saw 70% more product descriptions a day, 150% more SEO articles a month and a 9-hour monthly saving on alt text.