Our intent data combines active and passive signals to deliver a more comprehensive and nuanced understanding of buyer intent.
Active signals are derived directly from our demand generation tactics, such as content syndication form fills, clicks on display ads through our DSP network, and call centre research. These provide real-time indicators of active research behaviours.
Passive signals, such as browsing patterns, social media engagement, and industry news monitoring, are predictive, offering insights into trends and opportunities before they fully materialise.
Pelago, our custom-built AI, leverages advanced predictive algorithms, meta-tagging, and large language models to validate and refine the intent data analysis.
It's then able to identify other accounts that may not yet fall into the "active" category but demonstrate behaviours similar to those that are. By analysing patterns, context, and historical data, our AI uncovers hidden opportunities, helping you engage earlier in the buyer journey.
By blending quantitative precision with qualitative insights, our approach goes beyond identifying intent to provide contextualised, actionable intelligence. This allows you to prioritise leads, confirm account lists, and align tactics with the buyer’s journey, giving you a significant competitive edge.
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