Smartling

Coinbase, a leading cryptocurrency platform, faced the challenge of localizing and translating its content for global markets. The crypto industry is constantly evolving, with English terminology used to describe crypto concepts frequently changing. This posed a significant challenge for Coinbase's localization experts, who had to redefine existing language and translate it at scale. The company also had to consider the unique jargon of the crypto world, ensuring that their glossaries and style guides included these terms. Another challenge was the translation of certain terms, like 'wallet', which have different meanings in the crypto world and can have varying connotations in different languages. Coinbase also had to ensure that their translated content was relevant, inclusive, and true to the crypto personality and nature.

Canva, an online design and publishing tool, was launched in 2013 with a mission to empower everyone in the world to design anything and publish anywhere. Today, Canva has over 60 million monthly active users, half of whom are non-English speakers, and the platform is available in over 130 languages. The challenge for Canva was to make the tool as accessible as possible to users across the globe and provide the best user experience, no matter what language they speak. This required a deep understanding of the subtle differences in cultures and languages, and the unique needs of the audiences in a scalable way. The challenge was also to maintain the Canva brand while heavily customizing the product for many different regions.

ClassPass, a membership-based fitness and wellness app, faced a significant challenge in localizing their content for marketing, legal, product development, and customer experience. The company, which operates in 30 countries and offers its services in 10 languages, was struggling with the time-consuming process of translation and localization. The International Localization Operations Manager, Margarida Soares, was leading a lean team and was looking for ways to reduce the time spent on execution and increase the time spent on localization strategy. The challenge was to streamline the process, reduce manual tasks, and improve the quality of translations.