Members Column
Last week, over coffee in Manila, a localization lead asked me: “We localized
everything perfectly… so why didn’t we see traction post launch?”
I’ve heard this across Southeast Asia, Europe, and enterprise programs globally.
It reveals the shift we’re living through.
Localization is no longer just a linguistic exercise. It is shaping how we make
product and content decisions across markets. Not just how we say something,
but whether it fits the audience at all.
AI has accelerated execution and made one thing clearer: fluency doesn’t always
mean relevance.
A global fintech app launched across Southeast Asia. The English CTA “Start your
journey” was translated cleanly into Bahasa Indonesia and read well, yet
engagement stayed flat. Why? In Indonesia, financial decisions are often framed
around security, family responsibility, and long-term stability. What signals
personal exploration in one market feels vague and uncommitted in another.
Same product, different mental model.
The pattern repeats. A “limited-time deal” drives urgency in the US. In Germany
it feels pushy. In Japan it can quietly erode trust. The words are accurate. The
response isn’t.
This is where most localization programs run into a gap. Delivery gets optimised
for accuracy and scale. But outcomes depend on interpreting intent earlier,
before the copy is written, before the market is defined, before the campaign is
built.
What’s shifting now is where localization sits in the process. Behavioural signals
are being paired with linguistic decisions. Micro-variants are being tested rather
than a single version shipped. Local insight is moving upstream, into product
design, UX flows, positioning, and market rollout decisions.
Not as a translation layer added at the end. As a decision input from the start.
Users don’t respond because they understand the message. They respond when it
aligns with how they decide.
When response is low, are you optimising the copy, or rethinking the
message?
By Sankeshwari Deo
Founder & Strategic Advisor - Localization, AI & Global
Transformation