Making the most out of categorizing intent data relies on the source uae whatsapp number of the information, the grading system in use, and the data insights that your team creates. Here are a few examples:
1) First-party data with a web analytics-based classification system. You can translate certain customer interactions with your website into type and level of intent. If somebody views one of your product pages, you can classify it as direct contact with strong intent, but perhaps not ready for a sales pitch (because otherwise they would have asked for a demo). In this case, you would categorize it as a marketing contact. This interaction would then trigger a data insight such as activating targeted advertisements.
2) Third-party data with a customer data platform service. Third-party data is often delivered in masses, but these providers tend to have consulting teams that work with clients to filter the information and derive insights. If you are running an ABM strategy, you can use the service to define your ideal customer profile and then classify the third party’s intent data according to the profile.
