GDN Advertisements that attract even customers passing by, learn and use them right now

Target only the customers you want
Want to show ads? GDN is the answer! 💫

Marketing, like other industries, has undergone a revolution as it has integrated into the digital environment, and this revolution continues through artificial intelligence. The GDN is one such AI-powered marketing tool, leveraging all kinds of data across the network to target ads to your target audience. With a CPC (Cost Per Click) system, you pay based on the number of clicks, and Google's powerful machine learning powers your marketing efforts.

One drawback is that the sheer number of targeting settings and campaigns available can make it difficult to navigate. Therefore, this course is designed for those new to Google Ads. It provides a step-by-step explanation of Google's ad network concept, the entire Google Ads UI, features, campaign types and bidding strategies, and the various targeting options for Display Network campaigns.

💡 After taking this course, you will be able to acquire these skills!

• Leveraging Google Ads: Harnessing Google's Powerful AI Marketing Capabilities
• Setting up and leveraging advertising campaigns: Delivering the best ads to capture your customers' attention.
• Utilize various targeting features: Target customers using specific keywords, visit history, etc.
• Developing the Right Bidding Strategy: Developing a strategy to effectively utilize various features.

Q. Do I need any prior knowledge of using Google Ads?

This course will teach you step-by-step from the very beginning of Google Ads, so no prior knowledge of Google Ads is required.

Q. Are there any requirements or prerequisites for taking the course?

Since this is a hands-on course, we recommend bringing a dual monitor or a spare device to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course in a Windows environment.

🔷 Notes for taking classes

• Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.