Both “prospecting” and “lead
generation” are terms that mean the same thing when using LinkedIn to build a
sales pipeline for B2B sales. But even though their outcomes can be similar,
their strategies, reason and approach are not the same—most noticeably when it
comes to LinkedIn follower collecting and information extraction. Knowing how
marketing, sales and service work is crucial for anyone relying on automation
to attract and keep clients.
Understanding LinkedIn Prospecting
LinkedIn prospecting is about
actively finding and getting information on potential clients or key people who
could use what you offer. It means compiling information by going through large
LinkedIn networks to collect data on behavioral patterns and groups of your
interest.
Most of the time, LinkedIn
prospecting happening by scraping the names of followers from competitor,
influencer or company profiles. Some examples are positions, the industries
where one works, locations and other things meant for public view. Many professionals
depend on automated tools to extract the data, making it easy to separate
prospect lists and avoid long hours of manual research.
Your goal is to set up a list of
people who you are not sure are interested in buying yet, but who potentially
fit your perfect client profile. Prospecting is mainly about enhancing the
potential, not persuading people to join. Even though it helps marketers start
reaching out, unless they respond it isn’t considered a lead.
What is Lead Generation on LinkedIn?
Lead generation means changing
those prospects into people who have shown some sign of interest. Data is
gathered first and then attention is given to getting in touch, increasing
connection and leading the conversation toward making a sale.
On LinkedIn, prospecting is
followed by the step of lead generation. When data has been collected and
sorted, the recruiting team will launch their outreach methods, using InMails,
sending connection requests or sending personalized messages. LinkedIn Sales
Navigator and email enrichment tools are frequently applied to grow contacts
into real leads.
Prospecting gathers data, but LinkedIn lead generation is about
developing relationships. The first step is to decide on the audience and the
other is to figure out the best approach to meet them where they are.
Why This Distinction Matters in a Data-Driven Strategy
LinkedIn data extraction from users
becomes useful only when you use it properly. It’s easy to assume scraped
followers are ready to convert which often leads to useless contact efforts,
fewer responses and sometimes getting your LinkedIn account locked.
Suppose you can take 2,000
followers from the page of one of your competitors. Now, you have access to job
titles, names, company names and even their email addresses (if you have
acquired external enrichment). However, these users weren’t targeted, haven’t
gotten any communication and probably don’t recognize you. Currently, these are
qualified prospects, not yet leads.
You need to do more than just
look at the data to make them leads. You should send individual connection
requests, pay attention to their replies and share things that help them
address their current problems. When data becomes interesting, it becomes the
first stage of lead generation.
If timing and dividing the list
aren’t done right, you can end up sending the same message to everyone. If you
assume that prospecting data is lead-ready, it may cause compliance problems,
mainly under GDPR and CAN-SPAM. Respecting ethical rules and being considerate
are needed to keep your lead generation sustainable through LinkedIn.
The Role of Automation and Scraping Tools
Using automation, B2B marketers
and sales teams now handle both prospecting and lead generation differently on
LinkedIn. Using tools to extract followers, pull in their data and improve it
with contact information can help you save many hours. Even so, there can be
drawbacks—mainly, misjudging the importance of numbers over actual merit.
The greatest advantage of
automation comes from using it in a smart way. In the prospecting phase,
profiling tools should be set up to obtain only the data matching job function,
seniority, industry and behaviors of users. Once those types of actions are
done, email autoresponders, LinkedIn campaigns or connecting to a CRM system
can help you generate leads.
It’s very important not to mix
the process of gathering data with communication efforts. Messaging your list
500 times doesn’t matter if you haven’t won your audience over or connected
with them. Lots of scraping tools have features that support personalization
for many people, allowing users to display recent updates and common friends.
Connecting the Dots: Strategy Over Spam
In the long run, LinkedIn
prospecting and lead generation are the same thing, so mixing them generally
leads to mistakes. A list of followers that has been collected by scraping is
not useful until you use it carefully. The outcome between being successful and
sending spam depends on what you do next with the data you collected.
Before writing an email, focus on
preparing a list, sorting prospects and getting to know your audience. Good
lead generation happens when you use data to have effective conversations by
being relevant, timely and trustworthy.
People who scrape LinkedIn followers care about this
distinction a lot. That’s how some people thrive in sales and others get
blocked or ignored by their prospective clients.
Knowing how each works and
honoring the difference helps you make the most out of LinkedIn for B2B
purposes.
If you have any doubt related this post, let me know