*Changes may apply

Digital Marketing & AI: Advanced Strategies for B2B Growth

Module 1: Methodological Foundations & Strategic Shifts
  • Marketing Fundamentals: Role of marketing professional in the business process and managerial level, strategic influences and effects of marketing with R&D, product, finance, HR and more
  • Brand Storytelling: Mastering brand image and identity pillars, crafting brand narratives using AI to test and automate story development
  • The ecosystem: Key shifts and trends in the digital landscape
  • Product-as-Marketing: Methodologies for product-led growth, Growth Hacking
  • Market Research & Segmentation: Data-driven targeting and persona creation
  • Market research – hands on works
Module 2: Performance Marketing (PPC & Paid Media)

Google Ads Module:

  • Advanced SEM, keywords research, programmatic bidding, and Ads ranking
  • GDN and remarketing, YouTube advertising
  • Leveraging AI for real-time ad copy generation and keyword optimization

Meta Advertising:

  • Mastering the Meta Ads manager for campaign management across Facebook, Instagram, Messenger and WhatsApp
  • Organic and Paid strategies. Utilizing AI for predictive modeling, creative optimization, and automated audience targeting
Module 3: SEO & GEO

Technical SEO foundations: 

  • Optimization of site architecture, Core Web Vitals, schema markups, and internal linking strategies

SEO as a Growth Engine:

  • Utilizing SEO to drive sustainable growth, lower Cost Per Lead (CPL), and generate both MQLs and SQLs
  • Crafting descriptions for High-Intent Keywords, highlighting critical use cases, and leveraging user reviews to build trust with technical buyers

Generative AI Engine Optimization (GEO):

  • Strategies for maximizing visibility in AI-powered answer engines (e.g., Google AI Overviews, SearchGPT, Perplexity) by optimizing content structure for LLM retrieval and synthesis rather than traditional crawling
  • Techniques to secure citations in generative responses, focusing on authoritative long-form content, entity-based optimization, and “direct answer” formatting to influence AI-generated summaries

Module 4: Content Marketing & Inbound Strategy
  • Customer Journey Mapping: Content strategy across various touchpoints and relationship nurturing, from prospect to onboarding and retention and advocacy
  • Content Formats: Podcasts, audio, video and value delivery contents -apps, tools and more – for enhanced B2B marketing. Developing high-value assets (ROI calculators, feature comparisons) to empower high-intent prospects
  • Content Strategies: by customer readiness stages, content type, funnel stage and #H model
  • AI-Driven Content: Using GenAI for hyper personalization and leveraging brand identity assets
Module 5: Advanced B2B & LinkedIn Marketing

LinkedIn Ecosystem:

  • Personal and company profiles: content strategy, thought leadership and nurturing strategies for B2B and leadership establishment
  • Detailed instruction on precise targeting methodologies based on company size, job title, and industry
  • Utilization of Matched Audiences (CRM lists) for account-based advertising efforts and the strategic importance of matching ad creative (e.g., thought leadership ads) and calls-to-action

Tiktok for B2B:

  • TikTok Ads manager
  • Influencer allocation to align with brand values and platform requirements
  • Automate influencer selection using AI tools to match audience preferences
  • Nurturing user-generated B2B content
Module 6: Marketing Operations, Sales and & Automation
  • CRM and Sales Platform:Introduction to CRM platforms (Salesforce, HubSpot) and Marketing Automation Platforms (Marketo, HubSpot)
  • Marketing Operations
  • CRO (Conversion Rate Optimization): A/B testing, funnel optimization, and AI-driven user journey personalization
  • Sales – from leads to successful sales and retention
  • Sales & Marketing Alignment
Module 7: Data, Analytics & Optimization

Analytics Suite:

  • Google Analytics 4 (GA4), Google Tag Manager (GTM), and attribution models

Predictive Analytics:

  • Using AI to interpret social data, analyze user behavior, and automate reporting
Module 8: App Economy - Marketing, Attribution and Analytics
  • App economy best practices: Promoting app downloads and user onboarding, ASO (App Store Optimization). In-app advertising and purchases. Exploring AI tools and automations to optimize user acquisition campaigns, and personalize in-app ads for higher conversion
  • Hyper-Personalization & Cross-Channel Orchestration: utilizing AI to generate hyper-personalized messaging across email, social, websites, apps, and custom landing pages
Module 9: Vibe Marketing & GenAI Frontiers
  • AI Fundamentals: Machine Learning, LLMs, and their marketing applications
  • Prompt Engineering: The art of crafting effective prompts for high-quality AI output
  • Human-in-the-loop: Enhancing productivity by combining human expertise with AI capabilities
Module 10: Additional spotlight workshops
  • UX/UI
  • landing pages
  • Creative and storytelling workshop
  • Positioning and sharing of mind
Power Skills
  • Professional Development: Public speaking, time management, and teamwork
  • Career Readiness: Building AI-optimized LinkedIn profiles and resumes tailored for the High-Tech marketing industry