The training course encompass two primary frameworks that work together:
SOSTAC® Planning Framework for systematic strategy development
RACE Planning System for customer lifecycle management
The training material covers everything from initial strategy structure through to customer retention, with practical implementation guidelines including:
Targeting strategies across paid, owned, and earned media
Conversion optimisation techniques
Customer engagement and retention strategies
The training course emphasise the importance of treating digital marketing as more than just marketing communications, instead viewing it as a comprehensive approach that encompasses all digital touch-points in the customer lifecycle.
Key success factors include maintaining digital omni-channel marketing strategic alignment with business objectives, adopting a customer-centric approach using the RACE framework, making data-driven decisions, implementing agile 90-day planning cycles, and ensuring integrated execution across all digital channels.
2. Marketing Campaign Planning Training Course
Based on the comprehensive marketing campaign planning training document, this training course covers all the essential concepts and frameworks for developing effective marketing campaigns. The training material is structured around the systematic RACE Planning Framework approach.
The training modules encompass the RACE Planning System which provides a comprehensive framework for campaign development and execution:
RACE Framework for systematic campaign planning and execution
7-Step Campaign Development Process from planning to engagement
VQVC Goals Framework for campaign objectives
SMART Conversion Models for measurable outcomes
The training material covers everything from initial campaign strategy through to customer engagement and advocacy, with practical implementation guidelines including:
Campaign Goals and Tracking methodologies
Customer Insights and Target Audience development
Offer, Content and Messaging strategies
Media Planning and Timeline management
Interactive Content Creation techniques
Conversion Optimisation and testing approaches
Customer Advocacy and Engagement strategies
The training course emphasises the importance of treating marketing campaigns as comprehensive initiatives that span the entire customer lifecycle, from initial awareness through to long-term advocacy and engagement.
Key success factors include maintaining strategic alignment with business objectives, adopting a customer-centric approach using the RACE framework, making data-driven decisions through continuous testing and optimisation, and ensuring integrated execution across all digital channels and touch-points.
This two-day intensive course is structured around a comprehensive approach to creating successful TikTok Shop content through AI-driven strategies and compliant live-streaming techniques.
The training course encompasses two primary learning tracks that work together:
Day 1: Foundational Strategies & Content Creation for systematic content development
Day 2: Live-streaming & Advanced Optimisation for customer engagement and conversion management
The training material covers everything from initial algorithm understanding through to advanced optimization strategies, with practical implementation guidelines including:
TikTok Algorithm mastery and For You Page (FYP) optimization
AI-driven content creation using ChatGPT, Canva, and CapCut
Trending elements integration across music, sounds, and hashtags
Product management essentials for TikTok Shop
Livestream analytics and engagement strategies
Compliance guidelines for both videos and live content
The training course emphasise the importance of treating TikTok Shop content as more than just social media posting, instead viewing it as a comprehensive approach that encompasses algorithm optimisation, AI-powered creation, and strategic live-streaming across the entire customer journey.
Key success factors include maintaining strategic alignment between content creation and business objectives, adopting a data-driven approach using TikTok analytics, leveraging AI tools appropriately while respecting platform guidelines, implementing compliant live-streaming practices, and ensuring integrated execution across both video content and live streaming channels.