In the dynamic landscape of B2B lead generation, the initial step is crucial—identifying companies ripe for outreach. We undertake this task by delving into our client’s offerings, evaluating their performance across various parameters like industry, company sizes, employee count, and geographies. Seeking to enhance our process, we recently enlisted the help of ChatGPT to explore its capabilities. We provided all these criteria to it and asked it to identify companies for outreach. Here’s a closer look at our experience across eight diverse companies
Companies for the exercise
- Recruitment Solution (B2B SaaS)
- Marketing Platform for Aggregators (B2B SaaS)
- Credit Evaluation Platform for BFSI (B2B SaaS)
- Rewards & Employee Engagement Solution (B2B SaaS)
- Digital Marketing Agency
- IT Services Company
- Procurement Solution (B2B SaaS)
- Auto Components
Observations & Learnings
1. ChatGPT’s Strengths: A Solid Start with Limitations
In the preliminary stages, ChatGPT showcased its prowess by rapidly identifying the initial batch of 30-50 companies across diverse domains. This efficiency, however, was not without its nuances. ChatGPT’s performance faltered when confronted with companies that either ceased operations or emerged post its cut-off date. This limitation underscored the importance of combining AI capabilities with human oversight to ensure the accuracy and relevance of the identified companies.
2. Beyond the Basics: The Challenge of Specific Criteria
The true litmus test for ChatGPT came when we sought to broaden our list beyond the initial set of companies. Here, the tool encountered challenges in honing in on entities that precisely met our specific criteria. Turning to LinkedIn, a platform that ChatGPT currently lacks access to, proved essential to compile a more nuanced and tailored selection. This revealed that while AI can expedite the initial phase, human intervention remains indispensable for precision and relevance.
3. Websites and LinkedIn Pages: Mixed Performance
As we navigated through the process, we tasked ChatGPT with two critical functions—extracting websites and locating LinkedIn pages for the selected companies. In the realm of website extraction, ChatGPT excelled, boasting an impressive accuracy rate of over 95%. This proficiency demonstrated the tool’s aptitude for data retrieval. However, when it came to fetching LinkedIn pages, the tool faced challenges, achieving an accuracy rate of 50-60%. The discrepancy in performance underscored the intricacies of navigating publicly available data on different online platforms.
ChatGPT proved to be a valuable assistant in our quest to identify target companies. While its cut-off date and lack of access to certain databases currently limit its autonomy in this task, we remain optimistic about the future. As ChatGPT gains access to more data and refines its processes, we foresee it not just matching but potentially surpassing human capabilities in this critical aspect of lead generation.
