Vietnam’s e-commerce market has transformed at breakneck speed in recent years. From cautious digital browsing to daily online purchasing, the shift has been remarkable. But alongside this rapid growth, a new behavior is emerging—one that’s exciting for brands and concerning for researchers. It’s the rise of in-app shopping, particularly through social platforms and livestreams. And while it’s convenient for consumers and profitable for platforms, it’s quietly becoming one of the biggest blind spots in modern market research.
Just a few years ago, online shopping in Vietnam typically happened through established e-commerce websites or apps. Consumers compared prices, browsed reviews, added to cart, and checked out. There was a clear trail of behavior that brands and analysts could track. But today, a large and growing portion of shopping happens within content itself—without ever leaving the app. A user watches a TikTok video about a trending face mask. They tap the product tag. Two clicks later, it’s paid and on the way. No need to open another website, no detailed product page, no cart abandonment.
This behavior isn’t just a Gen Z trend. Livestream selling is now common across demographics, from beauty influencers pushing serums at midnight to aunties selling kitchenware from their phones. Facebook livestreams, TikTok Shop, LazLive, Shopee Live—all of these channels have turned content into commerce. The result? A seamless fusion of entertainment, recommendation, and transaction that skips over the traditional decision-making process.
For brands, this is a dream. The conversion path is shorter. The impulse buy is stronger. And the metrics—views, likes, sales—are visible in real time. But for researchers trying to understand why consumers bought, what triggered their decision, or how they compared products, the data is often missing or incomplete.
Traditional research models are not built for in-app behavior. Quantitative trackers ask about platforms, categories, and frequency—but they don’t capture micro-moments of purchase. Qualitative interviews ask about recall and brand perception—but in a 30-second TikTok impulse buy, there may be no real memory of the brand. Fieldwork used to involve intercepting shoppers outside stores or tracking digital ad impressions to purchases. But how do you intercept a TikTok checkout made while lying in bed?
Even consumer panels, long trusted for usage and attitude studies, struggle here. Many respondents can’t fully recall which product version they bought, where they saw it, or even what platform they used—because the journey happened so fast. For example, a young woman might say she bought a certain sunscreen because it was “popular,” but can’t remember if she saw it on Instagram, TikTok, or a livestream. She may not even know the exact brand name—just the color of the bottle and the influencer’s face.
This creates a critical problem. As in-app shopping becomes more dominant, insight gaps widen. Researchers can no longer rely solely on traditional surveys, retail audits, or e-commerce dashboards. Much of what is driving product movement today is ephemeral, non-linear, and embedded in entertainment content that isn’t built for tracking. Even brands themselves, despite seeing sales numbers, often don’t know what messaging, moment, or trigger led to the conversion.
In Vietnam, where mobile-first behavior is the norm and short-form video is the dominant content format, this issue is even more pressing. TikTok Shop, in particular, has seen massive adoption among young consumers, beauty buyers, and low-involvement categories. Yet many research studies still focus on desktop e-commerce or assume linear decision paths—compare, choose, buy. The real path now is often: watch, laugh, trust, tap, buy—all in under a minute.
There’s also the issue of segmentation. In-app shopping blurs traditional consumer categories. A housewife in Can Tho might appear digitally “low-engagement” on surveys but regularly shops via Facebook livestreams. A Gen Z urban buyer who claims brand loyalty may switch brands weekly, driven by in-feed promotions. Because the journey is invisible, researchers can’t easily verify stated behavior against actual purchase.
So what can be done? The challenge for researchers isn’t just to chase consumers onto new platforms. It’s to redesign how we ask questions, interpret signals, and validate behavior. Instead of assuming recall accuracy, we may need more passive data capture or diary-style logging. Instead of asking “Which app do you use most to shop?” we might explore “What content made you want to buy that last product?” Instead of focusing on price, availability, and features, we may need to ask about personality, trust in creators, or visual appeal in the feed.
At the same time, collaboration between research teams and in-app platforms becomes crucial. Brands have access to performance metrics, but researchers need access to context—content type, time of day, frequency of exposure. Without this, we risk interpreting a rise in purchases without truly understanding what caused them.
This is not a Vietnamese phenomenon alone, but the market’s mobile behavior, cultural trust in peer recommendations, and appetite for convenience make it a prime example. As more Vietnamese consumers skip traditional e-commerce in favor of “content-to-cart” experiences, the industry must evolve quickly. If not, insights will lag behind behavior. Brands will be reacting to sales rather than shaping them. And research will become an afterthought in a shopping journey it no longer sees.
