Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
In this guide, I’ll show you how to leverage large-scale language models (LLM) to improve your targeting strategies. I’ll walk you through a powerful “meta-prompting” technique that helps you craft detailed queries to get the most valuable insights from AI models like Google Gemini, ChatGPT, and the brand new Amazon Nova model.
As a starting point I use the STP framework — segmentation, targeting and positioning. If you already have defined market segments, that’s great. You’re ready to dive into this guide.
If you don’t have clearly defined segments, you might want to check my video on AI-Enhanced Market Segmentation. It will set you up nicely for selecting and prioritizing the best segments for your campaign.
The example client I’m using for this tutorial is an immersive virtual event platform that offers 3D and interactive event technology; however, these answers are made to apply to any industry, product or service.
Dig deeper: How to reshape AI adoption to focus on outcomes, not tools
Here’s what you’ll learn in this guide:
This guide will help you combine your own expertise with AI insights to make data-driven decisions and discover new opportunities for your organization or client at lightning speed.
Dig deeper: How to revolutionize market segmentation with genAI
Write a generative AI query that will help me select target segments for my client’s business. Consider segment characteristics such as segment size, growth rate, and profitability along with the competition and my client’s company goals, competencies, and resources. I will share a link to my client’s website that will provide an overview of their offering along with a list of their current target segments. I want each LLM to prioritize those segments based on the likelihood of increasing revenue for the company, including a rationale for why they made that selection. I also want to see the data used to make the selection to make sure it is correct. I would like the LLM to include a section on new segments that we may have overlooked.
Please analyze the following market segments for [Company Name]with regard to:
Business context:
Current offer: [List from website]
Target segments: [List from website]
Company goals: [Specify]Basic competences: [Specify]
Available resources: [Specify financials, team size, capabilities]
Evaluation criteria:
Market metrics
Segment Size ($)
Growth rate (%)
Profit margins (%)
Customer acquisition costs
Long-term customer value
Competitive landscape
Number of contestants
Market share distribution
Entry barriers
Key differentiatorsDeliverable:
Rank existing segments by revenue growth potential
Please provide data sources/evidence for each ranking
Suggest 2-3 unused segments with explanation
Assess feasibility based on company resources
Based on the segment analysis provided, create a targeting and positioning strategy:
Recommend 1-2 priority target segments:
Segment description and size
Key pain points/needs
Why they are the best fit
Expected ROIFor each target segment:
Value proposition
Key points of messaging
Competitive differentiation
Pricing strategyMarket release plan:
Channel strategy
Marketing tactics and budget allocation
Time frame for implementationMeasures of success
Provide specific, actionable recommendations with supporting data for all conclusions.
Contributing authors are invited to create content for MarTech and are chosen for their expertise and contributions to the martech community. Our associates work under supervision redaction and contributions are checked for quality and relevance to our readers. The opinions expressed are their own.