AI ICP & Personae
Last updated
Last updated
"Importance" Definition: The importance, represented by stars, measures how significant the criterion is in our algorithms' analysis.
"Best Value" Definition: Best Value, represented by 3 column, measures how significant the value is for each criterion.
Demographic Data represent attributes of the lead, such as job title, department, years of experience, education level, and professional certifications.
Firmographic data defines the characteristics of the company to which the lead belongs, including industry, company size, revenue, and location.
Behavioral Data tracks the actions performed by the lead, such as website visits, content downloads, email interactions, and purchase history. This information provides insights into the lead's interests and engagement level, enabling more personalized and timely marketing efforts.
Criteria with No Impact on Score these are factors or attributes that do not influence the conversion of leads. Although they may be collected and tracked, they are not considered relevant by the algorithms when calculating the overall data of a lead.
Lead Generation Use Case
Explore Criteria: Check out your demographics and firmographics criteria.
Generate look-a-like leads: Put them into Sales Navigator to generate look-a-like leads
Marketing Strategy Use Case
Explore Criteria: Check out your behavioral criteria and criteria with no impact on score.
Know what's work and not: Eliminate underperforming tactics and push the actions that generate the best results.
Check your criteria for each lead directly in your CRM:
Enhanced Targeting: Focus marketing and sales efforts on leads most likely to convert, improving efficiency.
Personalized Engagement: Tailor messages and offers to resonate more effectively with high-potential leads.
Resource Optimization: Allocate resources more effectively by concentrating on the most promising segments.