Sharing of LinkedIn active user detection methods to make customer development more accurate

在LinkedIn进行海外客户开发时,很多企业都会遇到一个问题:明明收集了大量用户资料,也添加了不少联系人,但真正能够产生回复和合作机会的人却并不多。

existWhen LinkedIn develops overseas customers, many companies will encounter a problem: although it has collected a large amount of user information and added many contacts, there are not many people who can actually generate replies and cooperation opportunities.

The reason is often not an insufficient number of customers, but differences in user quality.

User status on LinkedIn is not fixed. Some users log in to the platform every day to continuously update career information and participate in industry exchanges; some users have complete information but have not had any activity for a long time; and some accounts are simply registered and have no actual use value.

If the company does not determine user activity in advance, it is easy to invest a lot of time on low-value contacts.

therefore,LinkedIn active user detection has gradually become an important part of customer development. By selecting users who are more active and more likely to communicate, companies can improve sales efficiency and make the customer development process more precise.

WhyDoes LinkedIn customer development need to focus on user activity?

Many companies have just started usingWhen LinkedIn expands its market, it usually focuses on two indicators:

One is the number of contacts;

One is the completeness of the data.

However, as operations deepen, companies will find that these two indicators cannot fully represent customer value.

A user with rich information, if he does not log in for a long timeLinkedIn, it is also difficult to see the information sent by the company in a timely manner.

On the contrary, a user who frequently publishes industry trends, participates in discussions, and updates career experiences often has higher communication opportunities.

especially forFor B2B companies, customer development is not simply about finding an account, but about finding people who are willing to communicate and have business needs.

Therefore, judging the level of user activity can help companies reduce ineffective communication and improve overall development efficiency.

What are the typical behaviors of active LinkedIn users?

judge aWhether LinkedIn users are active or not can be observed from multiple angles.

First, check the account content updates.

Users who frequently publish industry opinions, company news, or career-related content usually maintain a high level of platform participation.

Secondly, look at user interaction behavior.

Likes, comments, and participation in industry discussions can all reflect whether users continue to use the platform.

Third, look at changes in career information.

Some users regularly update their position, company experience or skill information, which also shows that the account is in normal use.

Fourth, look at the authenticity of user information.

Active users usually maintain their professional image and have relatively complete profile information, while some low-quality accounts may not change for a long time.

By comprehensively judging from these dimensions, companies can more accurately find target customers worthy of investing their energy.

What problems can active user detection help companies solve?

For sales teams, the biggest cost of customer development is time.

If you contact a large number of low-active users every day, not only will the response rate be low, but it will also easily affect team enthusiasm.

Active user screening can help companies improve several aspects.

First, improve the success rate of communication.

Prioritize contacting active users to make it easier to get feedback.

Second, optimize the sales process.

Salespeople can devote more time to high-value accounts instead of reworking dead contacts.

Third, improve the quality of your customer list.

The filtered customer list is more in line with actual business needs.

Fourth, it facilitates subsequent user management.

Enterprises can classify users according to their activity level and develop different follow-up strategies.

How to combine data filtering to improveHow effective is LinkedIn in acquiring customers?

As competition in overseas markets increases, companies are paying more and more attention to data quality.

In the past, many teams relied on manual searchLinkedIn users, but as the target market expands, this method will become less and less efficient.

Because it is difficult for humans to process a large amount of user information quickly, and it is impossible to keep the data updated for a long time.

At this time, data filtering tools can play a greater role.

Digital Planet can help companies organize and filter user data, allowing teams to manage target customer resources more efficiently.

existIn the LinkedIn customer development scenario, companies can use Digital Planet to assist in sorting user information, classifying and managing potential customers, and improving the efficiency of finding target users.

For example, before launching overseas market promotion, existing user data can be screened to help the team prioritize people who better meet their needs; during the long-term customer maintenance process, the user list can also be continuously optimized to improve data utilization.

For companies that need to continuously develop overseas business customers, Digital Planet can help teams reduce repetitive screening work and make customer development more planned.

How to improve conversions after screening active LinkedIn users?

After finding active users, it does not mean that the transaction will be completed.

The method of follow-up communication also determines the effectiveness of customer development.

First of all, users need to be classified.

Different users focus on different content.

Business managers may focus more on business value, technical staff may focus more on product capabilities, and purchasing staff may focus more on price and service.

Secondly, communication needs to be more targeted.

It is difficult to attract users’ attention by simply copying and pasting promotional information.

Communicate based on the user's industry, position and company situation, making it easier to establish connections.

Again, long-term interaction is required.

LinkedIn itself is a professional social networking platform. Many cooperation opportunities do not arise from one communication, but gradually form through continuous communication.

Therefore, companies need to establish a long-term customer maintenance mechanism.

Enterprise conductProblems that are easily overlooked when detecting active LinkedIn users

Although active user screening can improve customer development efficiency, companies are also prone to some problems during actual operations.

The first question is just about the level of activity.

Being an active user does not necessarily mean that you are suitable for cooperation. It also needs to be comprehensively judged based on the industry, position and corporate needs.

The second problem is ignoring data updates.

User status will change. Users who are active today may use less frequently in the future.

The third problem is the lack of follow-up management.

After selecting target users, if there is no continuous follow-up, actual value will still not be generated.

Therefore, activity detection should be integrated with the customer management system.

Optimize starting from user activity detectionLinkedIn customer development

LinkedIn customer development is gradually shifting from adding contacts on a large scale in the past to accurately finding target users.

What companies really need is not more contacts, but more valuable business relationships.

passLinkedIn active user detection allows companies to determine in advance which users are more worthy of investing time and improve customer development efficiency.

Combining data screening, user classification and precise communication methods, companies can establish a more stable overseas customer development process.

In the future competition in overseas markets, whoever can better manage user data will be more likely to find truly valuable business opportunities.

 

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