Intentsify, a leading buyer-intent data and activation solutions provider, has unveiled a breakthrough in its intent data technology called ‘next-generation precision intent.’ This innovative and patent-pending solution utilizes advanced natural language processing (NLP) and is activated via Intentsify’s Intelligence Activation Platform. The key feature of this technology is its ability to generate highly accurate intent signals tailored to a customer’s specific products and business offerings, making it the first and only intent data solution with this level of precision.
While intent data has demonstrated its efficacy in B2B marketing, current solutions rely on limited topics, keyword lists, and predetermined models to generate intent signals. As a result, these solutions offer a one-size-fits-all approach that fails to consider the nuanced differences in go-to-market messaging (GTM) that distinguish B2B marketers from one another.
With its precision intent solution, Intentsify is transforming the intent data landscape. By analyzing a marketer’s messaging, web pages, and online marketing materials, this technology automatically selects and assigns unique weights to unlimited topics, keywords, and products. As a result, it can identify intent that is perfectly aligned with the marketer’s GTM, providing next-level buyer intelligence. This, in turn, enables B2B GTM teams to efficiently deliver exceptional and effective full-funnel buying experiences that drive revenue.
Key capabilities and advantages of Intentsify’s precision intent include the following:
- Unmatched breadth of intent coverage: Combining multiple signal sources
- Automation – less effort, time, and expertise needed to generate value from intent data: Intentsify’s NLP streamlines GTM teams’ marketing efforts by automatically selecting and weighing relevant topics and keywords from a marketer’s online messaging, reducing time, effort, and specialized skills needed
- Intent-signal transparency: First & only intent data solution with URL-level visibility for customer confidence in signal validity
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