Digital Sales Analytics
About This Course
At the end of this course, participants should be able to:
• Understand B2C digital sales and customer life cycle management
• Understand the new behaviours of digital consumers
• Develop a customer segmentation model using feature engineering on the variables. Apply this to design and execute marketing strategies profitably
• Develop customer profiling on customer segments to understand customer characteristics
• Apply customer segmentation and profiling analysis to strategy formulation for targeted sales
• Acquire basic proficiency and hands-on practice in popular analytics tools such as Knime, Google Analytics
• Understand audience targeting strategy and experiment with marketing omnichannels
• Apply Google Ads campaign targets and analysing campaign tracking, audience, acquisitions metrics
• Understand market-basket analysis and cross-sell, up-sell models.
• Understand about drivers of customer engagement and customer behaviours
• Understand customer lifetime value and retention
What You'll Learn
The course will equip learners with the skills to gain accurate and rapid customer understanding (Discover) through customer profiling techniques and expand their market share with online campaign analytics metrics (Explore). Business executives seeking market expansion can use market-basket analysis (Enhance), customer engagement and satisfaction analysis (Ask), and customer lifetime value models (Engage). By utilizing analytics techniques and available tools, learners will be able to embrace new strategies that leverage digital platforms to build an effective omnichannel sales strategy for the organization.
In addition, participants will learn analytics best practices that enable them to plan, customize, and implement successful digital sales strategies and measure their impact. They will learn how to build a customer segmentation model and interpret sales analytics metrics using software such as Google Analytics or other tools.
Entry Requirements
Minimum Diploma Level