Marketing Analytics and Insights offered by RMIT University
- Public University
- 1 Campus
- Estd. 1887
Marketing Analytics and Insights at RMIT Overview
Duration | 6 weeks |
Start from | Start Now |
Total fee | ₹1.34 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | UG Certificate |
Marketing Analytics and Insights at RMIT Highlights
- Earn a certificate from RMIT University
- Learn from industry experts
Marketing Analytics and Insights at RMIT Course details
Marketing professionals looking to develop analytical skills to progress their career
Early-intermediate level marketers from agencies or small-to-medium companies who either work autonomously or within a small team
How to identify and comprehend how data is used as a metric and a commodity
How to utilise data to solve real-world problems
How to create a comprehensive customer view using diverse data sources whilst adhering to relevant legislative, privacy, ethical, and ownership principles
How to use data visualisations to validate and assess marketing opportunities, highlighting the correlation and causation in data insights
Examine, produce, and communicate personalised marketing tactics based on first, second, and third-party data to a business, and highlight how these data points can be used to gain valuable customer insights
Discover the essence of marketing analytics, where the focus lies on measuring, analyzing, and optimizing the performance of marketing channels to enhance a business' return on investment
In today's data-driven landscape, marketers who can effectively generate and interpret data insights hold a vital role
As businesses increasingly rely on data and technology to make informed decisions about investments and strategies, the ability to harness data-driven insights becomes a valuable asset for success
From analytics to action, learn how to make data meaningful within your role or business through our Marketing Analytics and Insights course
Marketing Analytics and Insights at RMIT Curriculum
Module 1: Making sense of Data and Insights
Be introduced to data and distinguish the difference between marketing and web analytics
Comprehend and compare metric data and commodity data
Explore the right metrics to measure at different stages of your marketing funnel
Module 2: Exploring the world of marketing data
Investigate various analysis approaches
Be introduced to the data analysis tools Google Data Studio and Tableau
Explore correlation and causation
Understand and apply different data types for real-world clients
Learn how to capture and store data including first, second, and third-party data
Module 3: Using data to make decisions
Explore customer segmentation and understand how to deploy, automate, and examine segmentation strategies
Understand the role digital touchpoints play in getting a complete picture of your customers through a 360-degree view
Identify one-on-one customer communication and personalisation approaches across multiple channels
Module 4: Targeting your customer
Examine how data can be used to find new audiences and create better digital experiences through personalisation using A/B testing
Understand one-on-one communication through lead scoring, modelling, and digital touch points
Apply different types of analytics and visualise data to develop a data narrative
Module 5: Tools for acting
Explore Google and Adobe Analytics and analyse social media using single and multi-channel tools
Examine attribution models to measure effectiveness and ROI
Gain practical tips on setting up goals and learn how to track and tag on Google Analytics
Module 6: What's next ?
Explore data ethics and understand the importance of legislation and data breaches
Examine resources available for ongoing development with your marketing analytics and insights knowledge and skills
Project: Complete and submit your final project
Marketing Analytics and Insights at RMIT Faculty details
Marketing Analytics and Insights at RMIT Entry Requirements
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Marketing Analytics and Insights at RMIT Contact Information
124 La Trobe Street, Melbourne, Victoria 3000, Australia
Melbourne ( Victoria)
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