Conversion and refined operation of private domain traffic?

The first idea: add friends in batches to drain traffic

In the process of daily operation of enterprises, there will be various methods to find batches of user phone numbers. At this time, users can be added to WeChat in batches to divert users to the enterprise WeChat.

For example, there is a product called "Weibo Assistant", which is a tool for private domain traffic operation in enterprise WeChat (in the following, in order to make the case more vivid, I will use "Weibo Assistant" to explain many cases. this tool).

With the help of Micro Companion, you can achieve:

Import customer information in batches;

Evenly distribute the mobile phone number leads imported into the system to employees;

Remind employees to take the initiative to add friends;

If the customer is not added through a friend after a certain period of time (the specific time, the company can set by itself), the lead will be transferred to the pending assignment state, and the administrator will reassign it.

2. The second idea: channel advertising and drainage

This is basically the most commonly used idea in all customer acquisition channels, especially for companies that are richer, have high customer unit prices and low-frequency consumption, and do large-scale market launch. This is one of the powerful means for these companies to increase their users.

After the channel advertisement is launched, how to accurately evaluate the input-output ratio of each channel?

It is also an issue that everyone pays more attention to. We can use technical means to count the delivery data of different channels to evaluate the input-output ratio. For example, the channel live code function of Wechat can solve this problem, and it can collect and count the specific delivery data of different channels.

3. The third idea: fission drainage

In the WeChat ecosystem, it is no longer a new thing for service accounts and WeChat groups to do fission drainage; in corporate WeChat, fission drainage is relatively rare. However, the core idea of ​​fission in corporate WeChat is also consistent with the previous WeChat and WeChat groups.

Basically the process is: Create a fission poster - Invite customer A to participate through customer mass posting/customer mass posting/moments -Customer A shares the poster with friends (customer B)-Customer B adds corporate WeChat to help customer A , A customer completes the task to receive the reward - the enterprise checks the activity data.

This kind of fission can also be realized by the product of Weibian Assistant. If you are interested and want to know more, you can go to Baidu to search for the experience yourself.

4. The fourth idea: offline diversion online

Offline traffic is diverted to online. Basically, many offline stores have adopted this method, such as stores like Ruixing Coffee, Zhou Hei Ya and so on.

Regarding the offline traffic wire, Weibian Assistant also provides a group entry method based on "customer geographic location", called "regional scan code". This method is very popular in offline stores. When there are multiple stores to be operated, customers can be introduced into groups according to their geographical locations.

Of course, in addition to the above country email list methods, there must be other methods for enterprise WeChat drainage. The above methods are for reference only.

02 How to improve conversion rate?

After having traffic, the next thing to do is to convert customers and let customers place orders to buy the company's products or services. In the process of operating private domain traffic, we know that customers are basically unlikely to make a deal with you immediately after they come.

Before a client makes a deal with you, the client needs a certain amount of time to get to know you, know you, become interested (or have an interest in yourself), trust you, and finally make a deal.

The core of solving the above problems is to interact with customers, to push different content to customers at different stages of customer cognition, and finally to promote conversion. How to distinguish the different cognitive stages of customers?