Tame DeepSeek and leverage the 10-fold increase in private domain operation efficiency!

With the widespread application of AI tools such as DeepSeek, private domain operations have ushered in new opportunities and challenges. This article explores how to improve the efficiency and effectiveness of private domain operations by "taming" DeepSeek.

Years ago, I delivered a number of consulting projects and implementation plans intensively, and found that companies that were still stuck in the traditional operating model had backward concepts and a lack of rules in terms of data insights, marketing innovation, operational efficiency, team organization, etc.

In particular, we encountered bottlenecks in team efficiency, including the quality of operational strategies, the quality of content output, and the efficiency of operational execution, which were all unsatisfactory.

After the new year, we have to pick up the private domain problems that we have to face again:

Traffic growth is difficult, and acquiring each new user costs more than in the past;

User loyalty is like a fragile thing. Even if you guard it carefully, it can't stand the beating. After a few more chats, they will either block you or keep silent.

It is also difficult to monetize existing assets, and investing a lot of resources still yields little results.

During this Spring Festival, with DeepSeek’s strong screen dominance, you may be wondering whether private domain + DeepSeek can bring about some changes to the problems of past operational inefficiencies?

I searched the data: in the past seven days, the number of content works related to DeepSeek exceeded 1.05 million, with an average of more than 150,000 per day. Even on various platforms, merchants have appeared to sell DeepSeek access tutorials under the banner of "local deployment", and corresponding learning courses for DeepSeek use have sprung up on platforms such as Douyin, Xiaohongshu, and WeChat public accounts.

After the new year started, I also saw rumors online: many companies announced that they would fully implement DeepSeek applications within the company, some from business applications, some from personal actual work, and even tied DeepSeek applications to personal performance.

01 In-depth exploration of private domain + DeepSeek?

With DeepSeek gaining nationwide popularity, I hope it is not just a temporary trend. For example, I have mentioned a point in my previous article that private domain + AI is definitely a direction that can improve operational efficiency, but in terms of application, it has very high requirements for the operators and traders who use AI behind the scenes.

The advantage of DeepSeek as a "large inference model" is that it can strengthen the reasoning, logical analysis and decision-making capabilities of models based on traditional large language models. They usually have additional technologies, such as reinforcement learning, neural symbolic reasoning, meta-learning, etc., to enhance their reasoning and problem-solving capabilities.

This means that DeepSeek has a more "reliable" solution in the vision of private domain applications, helping private domain operators to figure out "Baidu"-style content and ideas that are different from the general big model in business problems.

This enables DeepSeek to have the capability of serving as an AI private domain advisor, making it a more reliable partner for you in terms of private domain strategies and operational content.

Now or in the future, what are the possible combinations of DeepSeek + private domain operations?

I think the key to DeepSeek’s empowerment in the private domain is to become our private domain operations advisor, providing strategy deduction, data analysis and a more realistic way of thinking.

There are at least seven aspects in total: data trend prediction, private domain decision support, private domain precise portrait, private domain content creation, private domain intelligent customer service, community intelligent operation, and automated marketing decision-making.

I have organized the specific ideas in the following two tables:

Let me take the optimization of private domain content strategy as an example to share an application:

02 From “Human Brain Experience” to “AI+Experience” Dual-Drive Strategy

The formulation of traditional private domain operation strategies often relies on the personal experience of traders, but in the face of diverse user groups and rapidly changing market environments, human decision-making alone is prone to blind spots. Deepseek helps traders achieve dynamic optimization of strategies through the dual capabilities of data analysis + strategy generation.

Take the output of the WeChat Moments content strategy as an example:

In the past, when we posted to Moments, the traditional method required repeated testing of content format, publishing time, and interactive language.

After that, you can use Deepseek to predict the effect of the content. Enter historical Moments data, including copy type, illustration style, release time, etc., and let Deepseek automatically analyze and conclude that "a certain type of content has the highest opening rate at 8 pm on Wednesday" and "the conversion rate of a certain promotional copy can be increased by 40%."

In addition, a monthly content schedule is automatically generated, marking the best publishing time and expected results, thereby helping to improve the interaction rate.

For example, I used Feishu's multi-dimensional table to access DeepSeek R1's capabilities and asked him to write a general SOP for the WeChat Moments content of a pet food brand:

1. DeepSeek R1 Moments SOP thinking process

First, let’s focus on its thinking process. I have copied and organized its thinking process into the PPT below to help everyone more intuitively discover how it produces and thinks out the corresponding content strategy.

After I broke down and interpreted the R1 thinking process in detail, I marked the key points in yellow. Then I found that it produces content through user needs, user portraits, content characteristics, deep needs (conversion, brand, stickiness), release time nodes, and data dimensions.

Its thinking process is undoubtedly the strategy we should pay attention to when creating WeChat Moments content in our daily lives. It lists out for you everything you have thought of or not. Even if it doesn't write a specific SOP for you, you can still write an SOP with a score of 70 or 80 if you follow its thinking process to output your WeChat Moments content SOP.

You only need to add a more concrete description of your real brand in the prompt words, using your private identity and tone to achieve the content SOP you want.

My first requirement is "SOP for content operation of pet food brand WeChat Moments", and I will give it more detailed prompt word requirements to see how it differs from the thinking after the first prompt word.

Requirement prompt: "As a private domain operation expert, you now need to help me write a WeChat Moments content SOP for the pet food brand "Mai Fu Di". Please write the WeChat Moments copy in the role of a pet health steward, with true feelings and human language."

Let’s see what changes have occurred in R1’s thinking process:

After adding some concrete requirements, the transition from the general pet food circle of friends to specific brands is more streamlined and focused than the general type. It has less extended content such as data analysis and deep needs, and more thinking about users' real scenarios and product selling points. This makes it more in line with the key points of specific brands in the process of operating in the circle of friends.

2. DeepSeek R1 Moments SOP output results

The comparison of the following two sets of output results is more intuitive and clear, and you can understand how to make good use of the support for strategy generation under the R1 reasoning model:

On the left is the first SOP under general and widespread demand. You can see that it is more of a general strategy. Its advantage is that it helps you infer various content possibilities and design a rough framework for you according to general industry practices. It helps you to give you some big and comprehensive ideas when you don’t have many ideas. You can see that it provides more content, but it is also more general and only touches on the main points.

On the right side, I added specific brand requirements, the identity of the WeChat Moments content publisher "Pet Health Manager", and copywriting style requirements. When the requirements are concretely given to DeepSeek, its strategic reasoning thinking is more focused and the WeChat Moments SOP is more practical.

More importantly, if you read the copywriting carefully, the real-life circle of friends is more vivid than the pure hard-advertising circle of friends, and it also strengthens the trust of the private identity of "pet health manager".

Therefore, it depends on whether the instructions are clear when you use DeepSeek and whether you know what kind of content and effect you want.

The premise of making things clear is essentially whether your understanding and ideas about private domain operations are clear enough. Even if you are given the Sword of the Heavenly Sword and the Dragon Slaying Sabre, if you don't understand the essentials of swordsmanship, you still don't know how to use them and when to use them. You can't even judge whether the content output by DeepSeek is reliable and correct, and it will become a plaything of AI.

Similarly, just as some friends will ask me some questions related to private domain in daily life, some friends’ questions are vague and broad, so the answers given are just empty talk; similarly, if the questions are too detailed, it will also limit the possibility of the answerer to give ideas.

The essence of learning to ask questions is to have sufficient thinking and practical accumulation on private domain strategies and implementation.

03 To double AI efficiency, it must first be refined into a professional model

Whether as a boss or a project leader, I think it is necessary to dig deeper into DeepSeek technology to help us make the experience of each operation link more extreme. This is definitely a good opportunity for breakthrough or transformation.

But remember to avoid slogan-like formalism. The purpose of putting AI into operation is to make employee workflows, product business flows, and user experience flows more efficient and more valuable. This is not a performative behavior. Therefore, as every participant, you must have a deeper understanding of the business and a more professional understanding of operations, so that you can make good use of AI tools such as DeepSeek to enhance private domain operations.

In addition, I personally think that the most crucial point is that compound talents who understand both private domain operations and AI technology will become sought-after resources in the industry.

I emphasized a similar point of view in my circle of friends a few days ago: 2025 is the year when AI will take off. In addition to improving labor efficiency, AI will also test the professional ability of training people.

In general, the rise of DeepSeek has brought new ideas and changes to private domain operations. Although there will be challenges in the application process, I think it is worth our while to start. Even if it is just a copy optimization, we can try to use AI to assist in deep search. The next battle in the private domain will be a battle of operator efficiency!

Author: Xiaofeng's Operational Growth

Source: WeChat official account: "Knowing Operational Thinking (ID: LearningBeta)"