In a recent LinkedIn post, Michel Lieben 🧠 discusses an extensive array of data sources and methods for prospect sourcing, offering a detailed guide for sales and marketing professionals. Lieben 🧠 breaks down the process into leveraging various tools and strategies to identify and contact potential clients effectively.
Leveraging Sourcing Agents for Efficient Data Collection
One of the primary methods Michel Lieben 🧠 highlights involves the use of sourcing agents. These AI-powered tools can interpret natural language requests to find specific data. As Lieben 🧠 notes:
Use platforms like Airtop, Clay, Exa, Perplexity, Manus AI or Relevance AI and describe in plain/natural language what you’re looking for. Their agents handle the rest.
This approach aims to streamline the data gathering process, allowing users to articulate their needs clearly without needing to navigate complex database filters themselves.
Utilizing Standard and Niche B2B Databases
Lieben 🧠 also emphasizes the continued relevance of traditional B2B databases, suggesting they remain a cornerstone for prospecting. These platforms offer robust filtering capabilities to pinpoint specific target demographics.
Filtering by Demographics and Growth Metrics
According to Michel Lieben 🧠, standard B2B databases allow users to filter prospects based on criteria such as job title, location, employee count, and even headcount growth. This granular control is crucial for precision targeting.
Use filters such as “job title”, “location”, “employee count”, “headcount growth” within standard databases like Prospeo, Wiza, Apollo, LinkedIn & DiscoLike … or using niche databases like Openmart, influencers.club… to find your target data.
Beyond general databases, Lieben 🧠 points to niche databases that cater to specific industries or influencer networks, further refining the search for highly relevant leads.
Targeting Prospects by Technology Adoption
A sophisticated strategy detailed by Lieben 🧠 involves targeting companies based on the technologies they currently use. This method assumes that companies using certain software or tools are more likely to be in the market for complementary solutions.
Identifying Buying Intent Through Technology Stacks
Michel Lieben 🧠 explains that tools like PredictLeads, TheirStack, BuiltWith, and BuyerCaddy can identify companies utilizing specific technologies. This insight can directly inform sales outreach, positioning a product or service as a logical next step for these businesses.
Inferring Buying Intent from Company Activities
Further elaborating on identifying potential customers, Lieben 🧠 outlines how to monitor various company activities that signal readiness to purchase. This includes tracking job openings, funding events, social media engagement, and significant tech or software changes.
Monitor companies’ activity, including: – Job openings – Funding events – Social engagement – Tech/software changes Via tools like Clay, PredictLeads, Common Room, and Trigify.io to infer potential buying willingness.
As Lieben 🧠 argues, these signals collectively provide a strong indication of a company’s current needs and potential for acquiring new solutions.
Custom Data Extraction and Contact Information
The post also covers custom data extraction, recommending tools like Apify actors or Instant Data Scraper for pulling information from specific websites. Once target individuals and companies are identified, Lieben 🧠 addresses the critical step of obtaining contact details.
Methods for Acquiring Email Addresses and Phone Numbers
Lieben 🧠 suggests using dedicated point solutions for finding emails and phone numbers, or employing data waterfalls—a multi-tool approach—for a more comprehensive contact data retrieval strategy. This meticulous approach underscores the importance of accurate and accessible contact information in the prospecting workflow.
📝 About This Content
This article is based on insights shared by Michel Lieben 🧠 on LinkedIn.
📅 Originally posted on February 13, 2026 | View original post on LinkedIn →