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Introduction to Content Engineering: Making Content Smarter and More Usable

Why Should We Care About Content?

In today’s digital world, we interact with “content” almost every day. Whether browsing websites, scrolling through short videos, using mobile apps, or chatting with smart assistants, the core of these experiences is various forms of content. In other words, content has become the primary medium through which we communicate, gather information, and make decisions.

However, despite being ubiquitous, content often faces a common problem: fragmentation and duplication.

Basics of Ad Networks and Formats

What Is an Ad Network?

In the internet advertising ecosystem, an ad network plays a crucial but often overlooked role. Simply put, it acts like a middleman, connecting advertisers and publishers, enabling ads to circulate efficiently across websites, apps, and video platforms.

Without ad networks, advertisers would need to negotiate with each media individually, which is very inefficient. At the same time, small and medium-sized websites or apps would struggle to connect with enough advertisers, often leaving ad space unsold. Ad networks solve this “two-sided problem.”

How to Find the Best Monetization Path for My Business

In today’s highly competitive business environment, the question of “how to make money” is no longer the only challenge. The real question is: how to find a sustainable monetization path that fits your business.

Different products and companies face varying user groups, product types, and market environments. For some businesses, leveraging large-scale traffic for advertising is a shortcut. Others rely on subscriptions or value-added services to generate revenue. Some companies adopt a hybrid model to balance short-term gains with long-term value.

How to Evaluate and Improve AI Max Performance

In Google Ads, AI Max is not a separate campaign type but a set of AI enhancements embedded within existing search ads. As a result, the methods for viewing data and analyzing performance are integrated into your Search campaign reports.

Once AI Max is enabled, advertisers are most concerned with performance: how do features like expanded keyword matching, automatically generated ad copy, and AI-selected landing pages impact traffic and conversions? In Google Ads, we can use several key reports to gain deeper insights into AI Max performance.

What is Google AI Max for Search?

If you’re running search ads, you’re probably familiar with this scenario: you open Google Ads in the morning, and your account is full of keywords to optimize. Some keywords have spent a lot but brought no conversions, while some long-tail searches you never thought of are showing up in the reports. You spend half a day adding and excluding keywords, yet it feels like you can never keep up with changing search behavior.

Basic Concepts of Commercialization

What is Commercialization?

When people hear “commercialization,” the first thought is often “making money.” That’s not wrong—turning a business, product, or traffic into revenue is indeed the core goal. However, commercialization can be understood in two perspectives: narrow and broad.

Narrow Perspective: Result-Oriented Ways to Make Money

From the most direct angle, commercialization is about converting your business directly into revenue. Some simple examples include:

  • Product Sales: Selling goods or services directly generates income, e.g., e-commerce selling clothing or online platforms selling courses.
  • Advertising Monetization: Earning revenue from traffic, e.g., social media or short-video platforms displaying ads while users browse content.
  • Membership Fees: Users pay for a better experience or exclusive content, e.g., premium subscriptions.

This perspective is obvious: it focuses on “how to make money”, emphasizing results. The key question is how your business generates revenue from users and how to maximize short-term returns.