Once you define your current customer, use AI as a strategic partner to forecast their evolution. Prompt ChatGPT to build out the next phases of their journey—three years from now or after they achieve a specific milestone. This helps you proactively design an ascension model of products that grows with them.
Related Insights
To save time with busy clients, create a "synthetic" version in a GPT trained on their public statements and past feedback. This allows teams to get work 80-90% of the way to alignment internally, ensuring human interaction is focused on high-level strategy.
Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.
Beyond just generating creative, the future of AI in CRM is using "agentic AI" to build better strategies. This involves agents that help define audience segments, determine the next best product or action, and accelerate the implementation of complex campaigns, enhancing human strategy rather than replacing it.
Go beyond simple prompts. Gather raw data—comments from your social media, competitor book reviews, and podcast feedback—and feed it all into ChatGPT. Then, ask it to synthesize this data into a detailed avatar guide, identify market gaps, and suggest opportunities for your offer.
Instead of manually sifting through overwhelming survey responses, input the raw data into an AI model. You can prompt it to identify distinct customer segments and generate detailed avatars—complete with pain points and desires—for each of your specific offers.
Expensive user research often sits unused in documents. By ingesting this static data, you can create interactive AI chatbot personas. This allows product and marketing teams to "talk to" their customers in real-time to test ad copy, features, and messaging, making research continuously actionable.
Instead of relying on static persona decks, marketers can feed raw data like sales call transcripts and support tickets into AI tools to generate live, interactive customer profiles. These apps can be instantly updated with new information, ensuring the entire organization is aligned on a current view of the customer.
Instead of asking AI to generate generic blog posts, use it for strategic ideation. Prompt ChatGPT with a detailed description of your ideal client and their transformation, then ask it to list their top 25 problems or questions. This provides a roadmap for creating highly relevant, problem-solving content.
Successful AI products follow a three-stage evolution. Version 1.0 attracts 'AI tourists' who play with the tool. Version 2.0 serves early adopters who provide crucial feedback. Only version 3.0 is ready to target the mass market, which hates change and requires a truly polished, valuable product.
Go beyond using AI for simple efficiency gains. Engage with advanced reasoning models as if they were expert business consultants. Ask them deep, strategic questions to fundamentally innovate and reimagine your business, not just incrementally optimize current operations.
