Why localization decides market performance
76% of online shoppers
Prefer to buy products with information in their own language. CSA Research, Can't Read, Won't Buy: B2C, 2020.
NVIDIA doubled localized content
Reaching more markets without doubling the team.
Forrester Wave™ Leader
Named a Leader in The Forrester Wave™: Translation Management Systems, Q3 2025, with the highest score possible in 13 criteria, including transcreation and adaptation, and compliance, security, and privacy.
GLOBAL PROGRAMS RUN ON LILT






WHO IT'S FOR
Built for the teams accountable for market performance
Marketing and brand teams
Launch campaigns that read as native in each market, not as translated versions of your English site. Transcreation for the pages that carry your brand, with terminology and voice enforced across every language.
International and regional leads
Enter new markets without adding headcount for every language. One program that scales from three locales to twenty on the same governance model.
Localization and content operations
Run a multilingual website program at scale, with consistent terminology, a full audit trail, and per-locale data on cost, quality, and coverage.
Regulated and public sector
Meet each market's compliance requirements, with reviewer qualification, data residency control, and deployment models that keep content inside your environment.
Decide which markets to enter first
Localization starts before translation. LILT helps teams prioritize markets using evidence they already have: unlocalized traffic by country, activation gaps in non-English markets, support ticket volume by language, revenue concentration, and regulatory requirements that make a market non-optional rather than merely attractive. Two or three markets done well outperform ten done adequately, and the first wave sets the benchmark for planning the next.
Adapt the full experience, not just the text
Localization covers language, and it also covers date and number formats, currency, imagery, legal and compliance content, checkout flows, payment methods, and multilingual SEO. A page can be translated correctly and still fail in market because the price is in the wrong currency, the form rejects a valid local address, or the testimonial is from a company nobody there has heard of. LILT's program covers all of it, so localized pages rank in regional search, comply with local requirements, and convert.
Hold quality and brand consistent across every market
At three locales, consistency is a review problem. At twenty, it is a governance problem. LILT's adaptive models learn your approved corrections and apply them across every language, so terminology and brand voice stop drifting between markets and vendors. Expert human reviewers handle the content that carries brand or legal risk in each market, and their corrections train the model rather than being repeated every quarter.
Measure and improve per locale
A localized page that underperforms is telling you something specific, but without per-locale data you cannot tell whether the problem is the translation, product-market fit, or a broken date field on the signup form. Those have different owners and different fixes. LILT provides real-time analytics on cost, quality, model use, and content coverage by market, so the program can prove its return and improve where the data points.

What changes when your localization program runs on LILT
The same markets, run as one governed program instead of a fragmented stack.
Market strategy
Content scope
Multilingual SEO
Brand consistency
Regulated markets
Per-locale insight
Program cost
NVIDIA doubled its localized content without doubling its team
The result: NVIDIA doubled the volume of localized content it ships, improved translation model quality by 30%, and consolidated from four localization platforms to two.
For a company publishing highly technical material across many markets, the limiting factor is normally domain-qualified reviewer capacity, not translation throughput. Adaptive models trained on NVIDIA's own terminology reduced the volume of content requiring deep review, which freed that capacity for the material that genuinely needed it. The platform consolidation matters just as much for a program at this scale: fewer systems means one governance model, one set of terminology, and one place to see what is happening across every market.
What is the difference between website translation and website localization?
How do I know which markets to localize for first?
How does LILT handle multilingual SEO?
What do regulated industries need that standard localization platforms cannot provide?
Want the technical detail?
For how content moves from your CMS into translation and back, including connector architecture, routing, and continuous localization, see how LILT's website translation services work →


