To generate leads effectively, AI needs various types of data. Broadly, this data can be categorized into demographic information, firmographic data, technographic data, and behavioral data.
Demographic information refers to characteristics of individuals, such as age, gender, income level, and educational background. For businesses that target individual consumers (B2C), this data can be instrumental in identifying potential leads.
Firmographic data is similar to demographic data but relates to organizations. It includes details like industry, company size, location, and revenue. This data is particularly useful for businesses targeting other businesses (B2B), like Openlead.ai.
Technographic data pertains to the technology used by a potential lead. For instance, if a business specializes in a certain tech stack, knowing which organizations use the same tech stack could help identify potential leads.
Behavioral data involves information about the behavior of potential leads, such as their purchasing history, online behavior, product usage data, and engagement with previous marketing campaigns. This data can provide valuable insights into a lead's preferences and likelihood to convert.
In the case of Openlead.ai, we use a combination of firmographic and technographic data, along with any specific criteria set by your business, to generate tailored leads. The AI algorithms process this data, identifying and scoring potential leads based on their likelihood to convert. This helps your business focus on the most promising leads, boosting your sales efforts.