Develop a comprehensive meta-prompt framework for automating lead scoring.  This framework should guide the creation of individual prompts designed to analyze various lead data points (e.g., website activity, email engagement, social media interactions, form submissions, demographics) and assign numerical scores based on pre-defined criteria.  The meta-prompt should consider different scoring models (e.g., linear, weighted, predictive) and allow for adjustments based on specific business goals and target customer profiles.  The output should include a step-by-step process for implementing the lead scoring automation, considering integration with existing CRM and marketing automation platforms.  Consider prompts that can be used to generate: 1) a comprehensive list of relevant lead data points, 2) weighted scoring criteria for each data point, and 3) a clear explanation of the chosen scoring model and its rationale.  The final output should be a detailed document outlining the entire automated lead scoring process, ready for implementation by a marketing team with intermediate technical skills. The success of this meta-prompt will be measured by the ability to generate a lead scoring system that improves lead conversion rates by at least 15% within three months of implementation.  Include examples of prompts for different lead data points and scoring criteria.