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Marketing Strategy

Go to market strategies.

tip

Culture eats strategy for breakfast

Big Picture​

Build Stronger Connections

By leveraging AI Agents, Blockchain Data Integrity, Crypto Coordination Incentives, and DePIN signaling devices marketers can:

  • Build stronger, more authentic relationships with customers
  • Increase trust through transparency and data integrity
  • Create more engaging and rewarding customer experiences
  • Develop innovative, technology-driven marketing campaigns
  • Establish global, borderless marketing strategies

Tactics​

Multi-Channel Approach​

  • Implement three core motions: Product-led (for 1-10 employee businesses), Sales-led, and Channel-led
  • Build strong channel partnerships as they create stronger moats than direct sales
  • Focus on 8-10 key countries for global expansion, serving others with English-first approach

Content and Conversion Strategy​

  • Personalize content using customer data and engagement patterns
  • Track video and webinar engagement for targeted follow-up campaigns
  • Focus on quality over quantity to avoid content spam

Execution Framework​

Data-Driven Decision Making

  • Centralize customer data to maintain a single source of truth
  • Measure customer engagement across all touchpoints
  • Use integrated analytics to inform personalization strategies

Customer Experience Optimization

  • Monitor where customers need human support and treat those instances as "bugs" to fix
  • Implement chat-assisted sales for addressing common questions without full demos
  • Create seamless hand-offs between marketing, sales, and customer success teams

Implementation​

This workflow outlines the step-by-step process described in the transcript for creating a marketing strategy and campaign using Google Gemini 2.5, focusing on leveraging its advanced reasoning and asset-generation capabilities.

Step 1: Deep Research​

  • Use Gemini 2.5 or another AI tool to perform deep research on your product, competitor products, or industry trends.
  • Inputs Needed:
    • Product information (features, benefits, integrations)
    • Customer pain points and use cases
    • Market positioning and competitive landscape
  • Output: A detailed report summarizing:
    • Key features and benefits
    • Target use cases
    • Integration opportunities
    • Customer satisfaction drivers

Step 2: Craft a High-Quality Prompt​

  • Use the insights from the deep research to create a detailed prompt for Gemini 2.5.
  • Example Prompt: "Create a comprehensive marketing strategy for [Product Name], targeting [Audience Segment]. Include executive summary, personas, value propositions, messaging pillars, channel strategies, and KPIs."
  • Pro Tip: Provide as much context as possible (e.g., raw research data) to enhance the model's output quality.

Step 3: Generate the Marketing Strategy​

  • Paste the crafted prompt into Gemini 2.5 (Pro Experimental version).
  • The AI will:
    • Deconstruct product information.
    • Develop a structured marketing plan.
    • Provide tailored messaging for different decision-makers (e.g., CTOs, VPs).
  • Outputs:
    • Executive summary
    • Target audience segmentation
    • Personas (e.g., VP of Customer Service, CTO)
    • Value propositions and messaging pillars

Step 4: Channel-Specific Strategies​

  • The AI will create strategies tailored to specific channels:
    • Website: Dedicated landing pages with compelling headlines and visuals.
    • Blog Content: Topics like "Benefits of AI Chatbots for B2B Support" or "How to Scale Support Without Scaling Costs."
    • Social Media: Focused on LinkedIn with short-form videos (capitalizing on LinkedIn’s video push).
    • Advertising: Recommendations for platforms like LinkedIn Ads or Google Ads based on target audience behavior.
tip

Highlight any section (landing page content) and ask the AI to generate detailed assets.

Step 5: Asset Creation​

  • Let Gemini build out specific campaign assets:
    • Landing pages with placeholders for visuals and text.
    • Social media posts tailored to personas and platforms.
    • Email campaigns with segmented messaging.
  • Example Output: A fully structured landing page with sections like:
    • Product overview
    • Social proof/testimonials
    • Use case snippets

Step 6: Review and Refine​

  • Evaluate the strategy and assets generated by Gemini:
    • Are the personas accurate?
    • Are the value propositions aligned with your brand?
    • Does the messaging resonate with your audience?
  • Make manual edits where necessary to fine-tune.

Step 7: Execution​

  • Export the strategy and assets into tools like HubSpot or other CRM/marketing automation platforms.
  • Use AI tools like ChatGPT (for visuals) or Canva to finalize creative assets.

Step 8: Optimization​

  • Run A/B tests on key campaign elements (e.g., email subject lines, ad creatives).
  • Monitor performance metrics like:
    • Conversion rates
    • Cost per acquisition (CPA)
    • Engagement rates
  • Refine based on insights from these tests.

Toolkit​

ProductJob To Be Done
Gemini 2.5 ProFor strategy generation and reasoning tasks.
HubSpotFor campaign execution and customer management.
ChatGPT (for visuals)To create images or refine creative elements.
Analytics ToolsGoogle Analytics or Tableau for performance tracking.

This workflow enables marketers to go from research to execution in as little as one to two days while leveraging Gemini's advanced reasoning capabilities to produce high-quality strategies and assets.