{"id":39421,"date":"2026-07-10T22:47:24","date_gmt":"2026-07-10T15:47:24","guid":{"rendered":"https:\/\/dps.media\/bai-hoc-digital-marketing-tu-vu-cho-du-lieu-2026\/"},"modified":"2026-07-10T22:47:24","modified_gmt":"2026-07-10T15:47:24","slug":"digital-marketing-lessons-from-the-data-marketplace-case-2026","status":"publish","type":"post","link":"https:\/\/dps.media\/en\/digital-marketing-lessons-from-the-data-marketplace-case-2026\/","title":{"rendered":"Lessons in digital marketing from the data marketplace case: 5 things marketers need to know in 2026"},"content":{"rendered":"

Lessons in digital marketing from the data marketplace case<\/strong> does not lie in the staggering revenue figure. It lies in a harder question: how far can a system grow if its data sources, operating model, and promises to users do not move in step?<\/p>

According to an article by VietnamFinance<\/a> on July 10, 2026, Hanoi City Police said they had prosecuted 3 defendants in connection with a ring operating a personal data trading platform in cyberspace. The article stated that the system had more than 1.35 million registered accounts, over 53 million transactions, and preliminary revenue estimated at more than VND 400 billion.<\/p>

This is an analysis from a marketing and digital marketing perspective, not a legal conclusion about the case. The term data marketplace is used in the way the article describes the system under investigation; final criminal liability rests with the prosecuting authorities and the court's ruling.<\/p>

For marketers, this story is notable because the system under investigation was run like a technology startup: with management, engineering, marketing, customer care, accounting, and payments. In other words, the risk may not lie only in one flawed campaign; it may be embedded in the entire growth machine.<\/p>

Lessons in digital marketing from the data marketplace case: growth cannot replace trust<\/h2>

A polished dashboard can show the number of accounts, transactions, and revenue. It cannot answer three fundamental questions on its own: where did the data come from, what purposes did users consent to, and what documentation can the business provide to prove it?<\/p>

For a lead generation campaign, a list of several hundred thousand phone numbers has no value if the collection source, time of consent, and scope of use are unknown. A smaller dataset with clear consent is often more trustworthy than a massive data repository that cannot be explained.<\/p>

\"lessons<\/p>

1. Do not start a campaign by asking how much data you have<\/h2>

The first question should be: what types of data is the business allowed to use for marketing activities? Distinguish between data customers provide themselves, data generated while using the service, data purchased from partners, and data collected from public sources.<\/p>