Samsung puts applied AI at the core of how it launches into every market with Recommend
Adjacent markets are usually treated as one market with three translations. Not because anyone believes they are the same, but because deciding properly for each one costs three times as much and takes three times as long. So the trade-off gets made quietly, every time, in favour of speed.
For the Galaxy Z Fold7 launch, Samsung did not make that trade. Applied AI read each of the three Adria markets on its own terms, decided what mattered in each, and produced the work for all of them — live in under two weeks.
What changed
Deciding three times, at the cost of deciding once
The standard approach adapts the global asset: translate the copy, resize the creative, ship it. It answers how to be present in three markets. It cannot answer the more valuable question — what do people in this specific market care about, and where does this product sit in that?
Applied AI answers the second question without the usual cost. Each market carries its own live state — around fifty specialist threads read per market, plus wider signals. The product is positioned against three different contexts rather than one translated brief, and the reading and the assembly are done by the system.
Three markets wanted three different things
The three contexts were not variations on a theme. In one market the fold was a productivity device — two things at once, for people whose work does not fit on one screen. In another it was a screen worth watching things on. In a third, a camera that folds into its own stand.
Same hardware, three genuinely different reasons to want it. And one read of each market rendered across every surface — feed, video, search, display, PR, site content — without a separate process for each.
The spread is the point
Click-through rose in all three markets, and by very different amounts: +61%, +51%, +19%.
The average of those three is not the result. The distance between them is. Three neighbouring markets, one product, one method, outcomes three times apart — which is a measurement, not an opinion, of how much is lost when adjacent markets are treated as one.
Every launch informs the next
The system now holds a record of how these three markets respond: which contexts carried, which surfaces performed, how far apart the markets actually are.
The next launch does not start from a global brief and a guess about localisation. It starts from evidence gathered by running in those markets — which is why the work has since extended from single-touchpoint content into a multi-surface system.