Customer centric marketing with the power of AI
About This Course
The course is designed in response to identified performance gaps within the realm of digital customer engagement, gleaned from comprehensive market research, stakeholder feedback, and industry trend analysis. Key performance gaps include:
Performance Gaps Addressed:
• Effective AI Integration into Marketing Mix: A significant knowledge gap exists around integrating AI technologies to optimize marketing strategies focused on customer engagement. This course aims to bridge that gap by teaching participants how to effectively implement AI tools within the marketing mix, enhancing customer-centric strategies.
• Leveraging AI for Enhanced Personalization: There is a notable deficiency in the application of AI for creating personalized marketing efforts. This course addresses this by equipping professionals with the skills to use AI for tailoring marketing campaigns, significantly improving customer interaction and satisfaction.
• Strategic Evaluation and Effective Communication: The course targets a gap in the strategic evaluation of marketing strategies and the effective communication of insights to stakeholders. Participants will learn to methodically evaluate the impact of the marketing mix on performance, apply various methods to assess the effectiveness of marketing elements, and engage stakeholders in meaningful discussions based on performance insights. This comprehensive approach is aimed at empowering professionals to not only assess and optimize their marketing strategies but also effectively communicate their value and outcomes.
What You'll Learn
- Evaluate critical considerations for designing a marketing mix that satisfies the needs of target customers
- Examine marketing mix elements adjustments are align to organisation strategic objectives and desired brand positioning
- Apply appropriate tools for evaluating the effectiveness of the marketing mix supports the achievement of the organization’s goals.
- Evaluate methods to monitor marketing elements' performance against objectives and emerging retail marketing trend.
- Assess AI tools for analyzing the marketing mix in relation to retail formats and operational goals.
- Identify monitoring methods on the performance of marketing elements against objectives to identify opportunities from emerging retail trend.
- Evaluate performance measurements to assess the marketing mix with stakeholders engagement in realigning for marketing success
Entry Requirements
Language and Literacy Proficiency Level
Candidates must demonstrate the practical application of English listening and speaking skills, meeting the standards of the Employability Skills Workforce Skills Qualifications (ES WSQ) Workplace Literacy (WPL) Level 3.
This proficiency should be evident in the candidate’s ability to comprehend and articulate ideas clearly in professional and operational contexts within the Retail industry.
Target Age Group
The course is designed for individuals who are 35 years and older, acknowledging the rich experience this demographic brings to the learning environment.
The curriculum is tailored to build upon their existing knowledge base, focusing on applying skills in practical workplace scenarios.
Minimum Education Level
The minimum education requirement is secondary school education, ensuring that all participants have a foundational academic skill set to build upon.