Indian LinkedIn account opening and screening, batch sorting of local target user data

do indiaIn LinkedIn customer development, the real trouble is often not that there is no data, but that the existing customer information is too messy. Mobile phone numbers, company names, positions, industries, historical inquiries, and official website forms are all mixed together. Some people have complete information, while others only have one number left. At this time, the entire list is handed over directly to sales, and in the end you still have to confirm each item.

A more practical approach is to first sort out the basic information of Indian customers and thenLinkedIn accounts are opened and screened, and people with platform foundation are separated out. Finally, based on the industry, position and real business needs, it is judged who is more worthy of continued development.

IndiaWhen filtering through LinkedIn, don’t just look at the account number.

If the goal is to doFor B2B customer development, it is not enough to just know whether a number has a LinkedIn account. An ordinary individual may have a LinkedIn account, a purchasing manager may also have one, and even people in completely unrelated industries may also use LinkedIn. Therefore, account opening can only be used as the first layer of labels. The real target customers must continue to look at the industry, company, position and customer source. For example, for the same LinkedIn users, one inquired from the company's official website, and the other just participated in an ordinary event a few years ago. The sales priorities are definitely different.

First, sort out the Indian customer information completely

Before starting to filter, you can first check whether there are several basic fields in the existing data: country, mobile phone number, company, position, industry, customer source, and last interaction time. The more complete the data, the laterLinkedIn screening is more valuable. If a batch of data only contains Indian mobile phone numbers, you can also unify the number format and remove duplicates first, but do not directly define all numbers as accurate LinkedIn customers.

Especially after merging data from different channels, the same customer can easily appear repeatedly. For example, the first time I left information from the exhibition registration, the second time I made an inquiry from the official website, and then it was recorded separately by the salesperson. If duplication is not removed first, the same person may enter the screening and sales process repeatedly. It makes more sense to keep a single customer principal and merge the different sources and histories into it.

LinkedIn account opening and screening solve the channel problem

After sorting out the Indian numbers, you can further determine whether the existing numbers haveBasics of LinkedIn related accounts. The function of this step is very direct: let sales know which customers can continue to be put into the LinkedIn channel for observation and development.

Digital Planet can be placed in this ring. The existing Indian customer numbers must be unified in format and deduplicated before proceeding.Filter the LinkedIn account opening status and write the results back to the customer table. The last piece of data can become:

India+LinkedIn has been opened + software industry + operation manager + official website inquiry

India+LinkedIn has been opened + manufacturing industry + procurement related positions + historical customers

India+LinkedIn has been opened + industry unknown + general event registration

Looking at it this way, the sales order can be clearly distinguished. Digital Planet is responsible for sorting out existing numbers and platform status. Whether customers are the precise target group still depends on the business information the company has.

Industry is more important than account status in determining whether it is worth following.

do indiaTo acquire customers on LinkedIn, industry matching is very important. If the product is SaaS software, you can give priority to technology, e-commerce, service, marketing and other related companies; if it is industrial equipment, you should look at manufacturing, engineering, procurement, and supply chain directions. Even if a user's LinkedIn account is normal, if the industry and product have nothing to do with it, they should not directly enter the high-priority customer pool just because the account exists.

soAfter LinkedIn screening is completed, it is best to continue grouping by industry. Put the industries that are strongly related to the product first, and then process the data with average correlation. This is more effective than dividing all LinkedIn users equally among sales.

Position determines whether the person is a suitable communication partner

In B2B customer development, just because the company is right does not necessarily mean the contact person is right. A company may have dozens or even hundreds of LinkedIn users, but only some of them are often related to purchasing, cooperation, and product decisions.

If there is already a position field in the customer profile, you can continue to classify. For example, procurement, person in charge, operations, marketing, technology, sales management, etc. Different positions have different communication priorities. If there is only general employee information, it can be retained, but it does not need to be placed at the same priority as the clear procurement-related contacts.

The issue of opening a LinkedIn account is whether there is a platform entrance, and the job field is about who is more suitable to talk to.

People who have recently made business moves should be ranked first

Even if the industry and position are matched, if there is no interaction after leaving the information two years ago, it should not be placed with the person who just submitted the inquiry yesterday. You can continue to add the latest business time: recentThose with inquiries within 7 days will be given priority, those with normal follow-up communication in the past 30 days, those with re-inquiries from historical customers will be re-upgraded, and those with no business actions for a long time will be placed in the maintenance pool.

In this way, IndiaLinkedIn customer screening is no longer just a list of accounts, but becomes real sales data that can be sorted.

don't putLinkedIn has enabled direct writing of precise customers

This is the most common problem that occurs when doing account screening.The fact that LinkedIn has been activated can only mean that this number and LinkedIn account have a certain platform foundation. It cannot directly indicate that the person is the boss, the person in charge of procurement, a high-spending user, or that there is immediate need for cooperation.

Real accuracy requires the superposition of several conditions: Indian market, target industry, suitable position, clear source, recent business actions, plusLinkedIn account status. The more complete the conditions, the closer the list is to the target customers that can actually be developed.

A useful piece of IndiaLinkedIn customer forms don’t need to be complicated

When finally handed over to sales, you can keep a few really useful fields: country, mobile phone number,LinkedIn status, company, industry, position, customer source, following products, last interaction, current follow-up level. In this way, when the salesperson opens the customer list, he can directly determine: what kind of company this is, what this person is responsible for, why he appears on the list, whether there is any recent demand, and whether he has the foundation for LinkedIn communication.

For example, a piece of data is the person in charge of operations of an Indian software company.LinkedIn has been opened and product inquiries submitted from the official website 5 days ago are worthy of priority. Although LinkedIn has been opened for the other one, the industry is unknown, the source is vague, and there has been no interaction for half a year, so it can be put at the back.

IndiaThe real value of LinkedIn account opening and filtering is not to make the number of customers appear larger, but to make the originally confusing data clearer. First organize the numbers and customer information, then supplement the LinkedIn platform status through Digital Planet, and finally prioritize based on industry, position and recent business records.Opening an account is just the entrance. It depends on whether the industry is right, whether the position is suitable, and whether there is real demand recently.Is LinkedIn data worth continuing to follow?

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