How does Pelago identify in-market individuals?

Using a combination of first-party data and insights derived from millions of behavioural signals across the web, our Buyer Intelligence platform, Pelago, pinpoints which individuals are actively researching topics, products, or services that align with your offerings.  

At the core of this process is Pelago’s ability to analyse vast datasets using advanced algorithms, natural language processing (NLP), and machine learning.

By analysing open-web interactions, event participation, content consumption, and hiring activity, Pelago uncovers which individuals are actively researching relevant topics. Using entity resolution, it links signals to verified professionals and accounts that match your ICP.

The AI evaluates these signals for recency, frequency, and thematic relevance to establish who is moving through the buying journey and how close they are to a potential purchase. This level of precision helps focus outreach on those already showing intent, rather than broad persona assumptions.

You may be wondering:

• How does Pelago predict which accounts are likely to buy soon?
• How does Pelago’s intelligence strengthen my account-based marketing (ABM) strategy?
• How do you distinguish between awareness, consideration and decision-stage intent?