The top 25 websites from the 2018 Web Globalization Report Card

I’m excited to announce the publication of The 2018 Web Globalization Report Card. This is the most ambitious report I’ve written so far and it sheds light on a number of new and established best practices in website globalization.

First, here are the top-scoring websites from the report:

For regular readers of this blog, you’ll notice that Google was unseated this year by Wikipedia. Wikipedia, with support for an amazing 298 languages, made a positive improvement to global navigation over the past year that pushed it into the top spot. And Wikipedia, due to the fact that it is completely user-supported, indicates that there is great demand for languages on the Internet — and very few companies have yet responded in kind.

Google could still stand to improve in global navigation, as could Facebook.

Other highlights from the top 25 list include:

  • Consumer goods companies such as Pampers and Nestlé are a positive sign that non-tech companies are making positive strides in improving their website globalization skills.
  • As a group, the top 25 websites support an average of more than 80 languages (up from 54 last year); but note that we added a few websites that made a big impact on that average.
  • Luxury brands such as Gucci and Ralph Lauren continue to lag in web globalization — from poor support for languages to inadequate localization.
  • The average number of languages supported by all 150 global brands is now 32.

The data underlying the Report Card is based on studying the leading global brands and world’s largest companies — 150 companies across more than 20 industry sectors. I began tracking many of the companies included in this report more than a decade ago and am happy to share insights into what works and what doesn’t.  

I’ll have much more to share in the weeks and months ahead. If you have any questions about the report, please let me know.

Congratulations to the top 25 companies and to the people within these companies who have long championed web globalization.

The 2018 Web Globalization Report Card

Amazon’s uneven (and not unusual) language strategy

Amazon Crossing is the Amazon publishing imprint dedicated to translating non-English books into English. In just a few years it has grown to be a leading translator of literary novels.

I noted earlier that Amazon.in doesn’t significantly support Indian languages. But on the Amazon Crossing submission page, you will find support for Hindi, Bengali and Punjabi. The global gateway is shown below on the right:

The gateway is (sadly) missing a globe icon — though I suspect the Amazon Crossing logo is partly to blame (one globe too many perhaps).

Other languages supported include Arabic, Portuguese and Russian. What’s interesting here is that the language mix is noticeably different on the Amazon.com site.

Both Amazon.com and Amazon Crossing support 13 languages in addition to English as noted in the 2017 Report Card, which means Amazon still has a long ways to go before it competes with the leaders in languages. Here is the average number of languages supported by the leading global brands over the past seven years.

But what I wanted to call attention to is Amazon’s uneven support for languages across its different products and services — a phenomenon that is not unique to Amazon. Many multinationals I work with support different language mixes for different properties. The rationale is sound: Different products and services have different audiences, marketing strategies, global and regional partners, and local opportunities.

But how do you balance an uneven language strategy with a consistent global content architecture? For example, let’s say you have one product page localized into Russian and a visitor to that product page goes to the global nav menu and selects another product, naturally assuming this other product also is also localized into Russian, only to discover it is not.

This problem is only going to grow more acute as more companies decentralize their global product content and marketing strategies.

Of course, every challenge is also an opportunity. Where companies can differentiate themselves is in how effectively they manage user expectations, manage language expectations, and how they leverage machine translation to fill language gaps.

To learn more about which companies are doing the best job at managing language expectations, check out the Web Globalization Report Card.