페이센드의 간소화된 번역은 고객 만족도를 10% 향상시켰습니다.

DeepL의 Zendesk 통합은 Paysend에 단순화된 고품질 번역을 제공하여 해결 작업 흐름을 30분 단축함으로써 고객 만족도를 높이고 팀의 효율성을 높였습니다.

주요 내용

  • 국제 팀은 고객 서비스 채팅에서 번역 작업이 느려지는 문제에 직면했습니다.

  • DeepL을 Zendesk와 통합한 후, 해결 시간이 30분 단축되었습니다.

  • 그 결과, 단 한 분기 만에 고객 만족도가 10% 상승했습니다.

  • 직관적인 통합과 실용적인 용어집 덕분에 이제 팀이 더 효율적으로 작업할 수 있습니다.

산업
Financial Services, Internet Software & services
DeepL 제품
DeepL Translator, Glossary
주요 시장
Europe, USA, Latin America, Ukraine, CIS Countries
주요 언어
English, Russian, Ukrainian, Chinese, Spanish, French

Meet Paysend

Paysend is a Global FinTech corporation with a vision to transform the movement of money worldwide. Its suite of products simplifies cross-border transactions for individuals and businesses.

Supporting 49+ countries for sending, and more than 170 countries for receiving money, Paysend's customer base is made up of global businesses, expats, seasonal workers, and students. Its customers either conduct business with international employees or live in a different country than their own and send money back home.

This diverse customer base needs a diverse team, and means that Paysend's team—of over 250 professionals from 30+ nations—needs to be able to communicate in a variety of languages.

Customer support agents struggled with slow translation workflows

With a customer base requiring support in multiple languages—including Russian, English, Chinese, Spanish, German, Ukrainian and French—Paysend faced a hiring challenge. Sourcing native speakers or individuals with high proficiency across these languages proved costly, and it had an impact on the company's ability to expand into new markets.

Paysend’s customer support team primarily communicates with customers through messaging and chat channels, which require fast response times. Its previous translation tool solved the language barrier issue, but it had poor user experience and translation quality, which slowed down Paysend’s customer support processes.

Clunky workflow steps and inconsistent translation of key terms made it difficult for agents to be efficient—resulting not only in lower customer satisfaction but also in lower agent satisfaction. Some agents were using DeepL as a workaround, which led Paysend to further investigate the solution.

Simplicity, accuracy and consistency with DeepL

After evaluation, Paysend started using DeepL—partly due to its integration with Paysend's customer support platform, Zendesk, but also due to the superior translation quality.

Paysend's ability to increase accuracy and decrease language barriers was further enhanced by implementing DeepL glossary, which is accessed within DeepL for Zendesk. The company-wide, shared glossary allows Paysend to customize translations for words and phrases—which are automatically adapted into the correct context by DeepL—for everyone using it. With DeepL glossary, Paysend has full confidence in the translations provided. This is especially helpful as many agents must communicate in languages in which they aren't fully proficient.

Decreasing time taken, increasing customer satisfaction

Since the implementation of DeepL, Paysend has seen significant improvements in key performance indicators:

Average full-resolution time for messaging has decreased from 5 to 4.5 hours

Paysend’s customer support teams have attributed faster processing times to the simplified translation process enabled by DeepL.

Customer satisfaction saw an impressive 10% increase in a single quarter

Paysend has improved the user experience for its service teams by providing access to DeepL for Zendesk, whose intuitive interface has streamlined workflows.

With DeepL, Paysend has successfully overcome language barriers, improved customer satisfaction, and empowered its customer support team to deliver exceptional service more efficiently.

“Overall, the customer success experience has really improved for us with DeepL.”

Svetlana Yumaguzina, Head of Customer Support at Paysend

Quality translation will continue to support global expansion

What’s next for Paysend? The company sees additional use cases where DeepL can support its business as it expands, for example, with translation of its Help Center content. According to Svetlana,

"DeepL supports us with our expansion. It's always great to have a native speaker talking to a customer, but DeepL gives us a certain flexibility as to how we recruit people. While we will still be hiring native speakers for some key regions we're expanding into, I think DeepL is just perfect to support our overall expansion plans."

  • 170개국지원
  • 7백만고객
  • 250명이상의 에이전트
  • 30개이상의 국적

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