We have focused our attention on Google Ads. Apart from the official Google Help Center, there are actually no systematic books or courses on Google Ads available in the market. Why not use DeepSeek this time to create a detailed Google Ads learning plan, systematically learning from scratch.
Below are the instructions we entered this time, mainly including a description of the learning subject and the goals we hope to achieve:
Based on the above description, DeepSeek generated the following specific learning plan:
First month:
Evaluation:
The setup for the first month is basically okay, starting with familiarizing with the platform, and then starting with search ads is correct, as search ads are Google Ads' main product, relatively simple to set up, and most widely used. After learning search ads, you can at least start practicing in the first month.
Second month:
Evaluation:
Starting to learn each type of ad one by one in the second month is a recommended method.
However, the specific types of ads learned may not completely match the plan mentioned, as each company's focus is different. For example, if you are not in e-commerce, shopping ads just need to be understood, as there may not be many practical opportunities later, and it is easy to forget.
PMax ads, however, can be scheduled, and from the second half of 2024, Google's updates to PMax are significant and may become increasingly important.
It is regrettable that Google Ads' product updates iterate much faster, so some new ad campaigns and settings cannot be obtained by AI in real-time.
Third month:
Evaluation:
After two months of learning basic knowledge and various types of ads, it is a very reasonable setting to start learning more advanced optimization ideas in the third month.
In addition to the above, you can add a "conversion tracking configuration". Although it seems inconspicuous, as Google Ads increasingly relies on machine learning, if the conversion tracking is not set correctly, it will not be able to use algorithms to help us find traffic, and the efficiency will be much lower. B-side conversion tracking might just be inquiries, but setting up tracking of order amounts on the C-side still requires a certain technical threshold.
There is also that old problem, AI presents a very ideal state, stage results can be regarded as your future direction after this stage of learning.
Summary
This Google Ads learning plan is indeed of good quality, continuing to maintain a balance between theory and practice, which helps to avoid staying at the theoretical level and assists in quickly getting started. Moreover, dividing Google Ads learning into three stages, each including both theoretical learning and practical operation.
But the information is not the latest. For example, it did not mention Pmax ads, and Discovery ads are now also integrated into Demand Gen ads. Google Ads updates are also faster, and the backend often adds or optimizes some new features, so it is also necessary to keep up with the times. DeepSeek and other AI assistants' information libraries cannot automatically collect information in real-time, so there is a lag.
Another mindset impression that needs to be always remembered: you must practice!
After all, advertising is not like SEO, where a slight adjustment quickly brings back data feedback, so it is more focused on operations, and professional improvement needs to be based on continuous operation - data feedback. The more you invest, the so-called feel will come out, such as how much budget to allocate, the magnitude of increase or decrease, how long to test, and how to use algorithms for投等等。
Also, if you want this Google Ads learning plan in image form, you can save the images yourself 👇
That's all for now, hope this helps you learn/review Google Ads knowledge. If you want to know more about Google Ads, you can check out the PASA official channel: https://t.me/PASAIGHYJL.
