What types of intent signals do you track?

Pelago collects a broad range of behavioural and contextual signals from across the open web. These include direct engagement patterns such as article reads, topic-based content consumption, and keyword searches, as well as inferred signals like press releases, company news, and hiring activity related to specific technology or solution areas.

We categorise signals into direct (explicit expressions of interest) and predictive (behaviours that suggest future intent). For example, a surge in job postings mentioning a platform, executive participation in webinars, or frequent publication of thought leadership on a topic can all indicate that an account is moving closer to a buying decision.

This blend of direct and predictive intelligence allows Pelago to provide a dynamic and holistic view of where each organisation sits in its buyer journey.

You may be wondering:

• How do you use intent data to inform campaign strategy?
• How do you use intent data to personalise messaging and assets?
• What makes your intent data different from other providers?