ICP matchmaker
Check how closely a lead matches an Ideal Customer Profile (ICP) based on specific criteria like occupation and company URL. Determines how closely a lead matches the given ICP, expressing this fit as a percentage likelihood.
User Input
• Occupation: ‘{{occupation}}’
• Company URL: ‘{{companyURL}}’
System Output
[percentage]%
Your input
Check how closely a lead matches an Ideal Customer Profile (ICP) based on specific criteria like occupation and company URL, providing a percentage likelihood of a match. This aids in refining lead qualification and targeting efforts.
User Input Example
• Occupation: ‘Marketing Director’
• Company URL: ‘www.innovativeads.com’
Output
80%
Where/How to find this variable?
Users will need to input their defined ICP criteria directly. The lead’s occupation can typically be found on LinkedIn profiles, while the company URL can be gathered from the company’s official website or LinkedIn company pages.
How to use it?
Use the input data to compare against a database or list of leads, applying filters or algorithms to determine how closely each lead aligns with the ICP parameters specified. This helps in identifying the most promising leads for targeted outreach.
Use cases
• Lead Scoring: Automatically score leads based on how well they match the ICP, prioritizing those with higher scores for outreach efforts.
• Marketing Campaigns: Tailor marketing campaigns to target leads that closely match the ICP, enhancing the relevance and effectiveness of the campaign.
• Sales Strategy: Adjust sales strategies to focus on leads that have a high percentage match, increasing efficiency and success rates in converting prospects to customers.
