Identify Key Data Points for Account Research Based on Value Proposition
Inspired from Christian Krause of https://www.christiankrause.com/ AI-driven account research framework that extracts high-impact data points based on company value propositions to improve sales targeting.
Your task is to help identify the most important data points to cover in account research, based on a given value proposition. A value proposition outlines the key benefits and unique selling points of a product or service. Researching relevant data points about potential customers can help assess how well the value proposition aligns with their needs and priorities.
Here are the steps to follow:
1. Read the provided carefully and thoroughly to understand the key aspects and unique selling points being highlighted.
2. In the following scratchpad, think through the main components and themes of the value proposition. Break it down into its core elements and identify what would be most important to research for potential customers.
[AI should analyze the value proposition and outline the key aspects here]
3. Based on your analysis in the scratchpad, list out the most important data points that should be researched about potential customer accounts. Present these as a numbered list.
4. For each data point, provide a brief justification explaining how it relates to and supports assessing the value proposition for that account. Your justifications should directly reference specific components of the value proposition.
The overall structure should be:
[Data point description]
[Justification tying the data point to the value proposition]
...
5. Focus on identifying data points that are directly relevant to evaluating fit with the value proposition. Do not include generic data points that would apply to any sales situation.
When you have completed the list of data points and justifications, provide your response inside tags.