Marketing Blueprint
Safety checkedChatGPT + Product teams need a structured,... Playbook
Systematically develop go-to-market strategy using AI to analyze value propositions, customer problems, market segments, competitors, and differentiation through structured sequential prompts and fram
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What problem does this solve?
Product teams need a structured, AI-powered approach to develop go-to-market strategy, including understanding value proposition, customer problems, market segments, competitive landscape, and differentiation factors.
How does it work?
Use AI to systematically analyze product positioning by running sequential prompts: first review product websites and sources to identify value proposition, then analyze customer feedback from Trustpilot and G2 to uncover problems solved, then segment customers using industry expertise, evaluate segment fit using scoring criteria, map competitors, identify industry trends, define differentiation factors, draft value statements, create detailed customer profiles, apply Jobs to Be Done framework, and map the customer purchase journey from awareness to advocacy.
What's the biggest win?
Product teams gain clarity and focus by moving from vague targeting ideas to a documented, prioritized ICP with a deep understanding of that customer's jobs to be done and pain points. The workflow forces structured thinking about which segment to focus on first and why, resulting in a clearer strategy for customer approach and go-to-market execution.
What should I know technically?
Prompt templates include: (1) Value proposition analysis: 'Review [product]'s website, Wikipedia and news sources, summarise what does the product do?'; (2) Problem identification: 'You are a go-to-market strategist...Examine user feedback from Trustpilot, G2...Identify common problems [your product] addresses'; (3) Customer segmentation table with columns for Persona, Demographic & Behavioural Characteristics, Jobs to Be Done, Pain Points; (4) Segment evaluation scoring table (1-10 scale) with criteria: problem-solving fit, market size, marketing cost, competition, monetization, go-to-market score; (5) Competitor analysis table: Competitor Name, Offerings, Core Customers, Price Point, Business Size, Strengths, Weaknesses; (6) Differentiation table with evaluation of importance and difficulty to copy; (7) Value statement template: 'For [ideal customer] Who [need/problem], [product] is a [category] that [benefit]. Unlike [competitor], [unique advantage]'; (8) Customer journey map with stages (Awareness, Consideration, Purchase, Retention, Advocacy) and rows for Actions, Channels, Thoughts/Questions, Needs/Pain Points, Opportunities.
Tools in this Blueprint
About This Blueprint
- Industry
- Advertising & Marketing