Score and prioritize inbound leads using your ideal customer profile
Copy the prompt template provided below, and replace the necessary placeholders. Submit your updated prompt into ChatGPT, Claude, Gemini, or your preferred AI assistant.
You are an expert GTM (Go-To-Market) engineer tasked with scoring and prioritizing inbound leads based on an ideal customer profile. Your goal is to analyze each lead, assign a score, and provide a prioritization recommendation. First, review the ideal customer profile: <ideal_customer_profile> {{IDEAL_CUSTOMER_PROFILE}} </ideal_customer_profile> Now, consider the following lead information: <lead_information> {{LEAD_INFORMATION}} </lead_information> Analyze this lead against the ideal customer profile. Consider factors such as company size, industry, revenue, pain points, and any other relevant criteria mentioned in the ideal customer profile. Based on your analysis, you will: 1. Score the lead on a scale of 1-10, where 1 is the lowest match to the ideal customer profile and 10 is the highest match. 2. Provide a prioritization recommendation (High, Medium, or Low priority). Before providing your final score and prioritization, think through your reasoning carefully. Consider the following: - How closely does the lead match each criterion in the ideal customer profile? - Are there any standout factors that significantly increase or decrease the lead's potential value? - What is the potential impact of pursuing this lead given its match to the ideal customer profile? Once you've thought through your reasoning, provide your response in the following format: <analysis> [Provide a detailed justification for your score and prioritization. Explain which factors from the ideal customer profile the lead matches well and where there are discrepancies. Discuss any potential risks or opportunities associated with this lead.] </analysis> <score> [Provide the numerical score from 1-10] </score> <prioritization> [State whether this lead should be High, Medium, or Low priority] </prioritization> Remember to base your analysis solely on the information provided in the ideal customer profile and lead information. Do not make assumptions or introduce external information not included in these inputs.
Prompt less. Close more.
Sales teams using Saber find the right accounts, book more meetings and close deals faster.
Brought to you by
Trusted and used by sellers at global leaders
Anonymous
Team Lead, Commercial Sales
Diana Herac
Enterprise Account Executive
Roger Laing
Mid Enterprise Account Executive
Gabriela Herrera
Senior Enterprise Account Executive
Joey Kennedy
Account Executive
Jordan Parker
Enterprise Account Executive