Intent data is data about the intentions of the buyer. It provides data on what, where, and how the buyer thinks, prefers, points out, compares, analyzes, uses, experiences, excludes, combines, discusses, concludes, decides, and acquires the buyer. These data indicate the final purchase intent from where it develops, leads and goes, gets involved, and ends.
It has a lot to do with cognition and consumer psychology, or cognitive psychology, which is the scientific study of the mind as an information processor. Marketers practice cognitive psychology — researching the buyer’s thoughts using intent data as a real-time indicator of the buyer’s interest.
Thanks to PG and machine learning, it is now possible to configure and maintain a huge amount of interactions. This repository data, derived from customers ’browsing and purchasing history, is used to analyze their purchasing behavior and to determine their intentions. The intention is essentially behavioral data.
Data collected from internal and external sources, including CRM, downloads, online information, etc. Intent data provides a more strategic approach to B2B marketers by better targeting, providing in-depth insight into accounts, and tailoring outlets. This method also brings together sales and marketing teams to receive and promote specific content.
Intent data provides many opportunities for marketers and cleverly invents a marketing channel.
More than 40% of B2B marketers plan to use intent data by 2020. For the following main reasons:
Determine the current purchase stage of the buyer
To identify stakeholders in target accounts
Help marketing and sales teams prioritize and target key accounts
To track offers back to the campaigns from which they came
Set focus areas when creating content
Involve the company in an active buying cycle against competitors
