Intent Data's Signals: Cracking the Code, Part 2

In Part 1 of this two-part series, we discussed the types of signals found in intent data and how B2B sellers and marketers can collect them. To decode these signals, predictive analytics driven by artificial intelligence (AI) is essential. AI-based predictive models compare how a contact's engagement with that of previous buyers, providing insight into TAM, ICP, buying team roles and more. This allows companies to focus resources, get their timing right, and understand the entire buying team.

Using AI-driven intent data can lead to impressive results, such as increased average deal value, higher win rates, and reduced average days to close. Companies can use this data to improve their user experience and remain competitive.

By combining data with predictive analytics and AI, companies are able to decode signals and gain actionable intelligence, putting them in the best position to win. Intent data is a total game changer, as it allows companies to understand what potential buyers are doing and make informed decisions.