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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Marketing Analytics – Strategies to Optimise ROI certification course has been designed by UC Berkeley Executive Education to teach working professionals the principles of marketing analytics. The extensive curriculum is covered over two months through online lectures.

In only a matter of two months, the Marketing Analytics – Strategies to Optimise ROI online programme will teach you how best to use data analytics for making informed marketing decisions and gain an edge over your competitors. You'll also learn about the core analytics model, frameworks, and tools.

As the course progresses, you'll be further undertaking real-world case studies of successful brands to understand the nuances of marketing analytics. This way, the Marketing Analytics – Strategies to Optimise ROI course will make you adept at taking a data-driven marketing approach.

At last, when you have completed the Marketing Analytics – Strategies to Optimise ROI online course as required, you will get a digital certificate of completion to certify your skills.

The Highlights

Conducted online
A 2-months long course
Requires 4-6 hours per week
Capstone project
Module-based curriculum
Case studies
Certificate of Business Excellence
Gain UC Berkeley alumni status
Course completion certificate

Programme Offerings

Online training
Capstone Project
Certificate of completion
Case Studies
12-months programme

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Haas School of Business, Berkeley

UC Berkeley Executive Education offers a straight US $260 discount on the program fee if you provide referrals.
You can either pay the full Marketing Analytics – Strategies to Optimise ROI course fee upfront or in easy installments.
You can avail of up to 20% discounted price if you join along with your colleagues.

Marketing Analytics – Strategies to Optimise ROI fee structure

Fee	Amount in USD
Programme fee	US $2600

Eligibility Criteria

UC Berkeley Executive Education will grant you a verified course completion certificate once you've successfully completed the Marketing Analytics – Strategies to Optimise ROI course.

However, you must complete at least 80% of the required activities in addition to the capstone project to get the certificate.

What you will learn

Marketing skills

Completing the Marketing Analytics – Strategies to Optimise ROI online course will help you:

Apply analytical frameworks, tools, and models to optimise marketing returns
Craft creative initiatives in marketing analytics in your respective organisation
Use analytics to make only informed marketing decisions
Harness experimentation and analytics to acquire a competitive edge
Build marketing strategy for customer development, acquisition, and retention

Who it is for

The Marketing Analytics – Strategies to Optimise ROI certification course will suit the following professionals:

Brand managers
Marketing & digital marketing managers
Business & product managers
Analysts

Admission Details

Participate in the Marketing Analytics – Strategies to Optimise ROI training by following the steps below:

Check out the course information by visiting the link - https://em-executive.berkeley.edu/marketing-analytics
Start your application process using the "Apply Now" tab at the bottom.
Select the "Create Account" tab.
Once you've created your account, choose the Marketing Analytics – Strategies to Optimise ROI programme and pay the applicable fee.

Application Details

When applying for the Marketing Analytics – Strategies to Optimise ROI course by UC Berkeley Executive Education, you just need to fill out one account creation form.

It will require your first and last name, country, and a working email ID. Finally, you need to set up a preferred password and click "Create Account" to finish the process.

The Syllabus

Principles of Marketing Analytics
How to apply them in the real world through a fundamental marketing measurement called Customer Lifetime Value.
Determine how valuable a customer is to a company throughout the entire consumer lifecycle, from acquisition to development to retention
Use that insight to guide marketing and product decisions at each step of the customer journey.

How to use predictive modeling, the fastest growing branch of marketing analytics
The basis of modern business intelligence systems.
How to execute two fundamental predictive models
Build your own predictive models to generate marketing insights.

Factor analysis, a broadly applicable data consolidation tool that is key to marketing research and customer segmentation and targeting.
By considering two cases in parallel—one from Charles Schwab and one from Booking.com—we learn how factor analysis helps create a customer segmentation map, generate core customer insights, and serve as a foundation for your marketing strategy.

Using big data, apply marketing analytics for targeting and personalization.
Our hands-on approach leverages actual data
How to build a targeting and recommendation system that incorporates real-time location data from mobile devices for targeting.

The basics of pricing, including different ways it is established and what makes an ideal price.
Using data collected for a technology startup, we delineate best practices for using survey methods to generate a price—a particularly valuable tool when preparing a product launch.
A versatile pricing tool called conjoint analysis.

The key tool for marketing measurement: A/B testing or experimentation.
A case study in digital advertising provides a real-world introduction to this topic.
Proceeding step by step, from the design phase through implementation to the evaluation of an actual A/B test, this case study delves into the major issues to consider when running experiments
Prepare to set up your own A/B test.

The most important concepts and metrics in digital advertising, including various payment methods, programmatic advertising, auctions, and quality scores.
Key challenges digital marketers face as they attempt to further customize individuals' marketing communications experience.

To ensure a successful implementation of your marketing analytics initiatives, illustrate how to build a strong analytics team, again using actual success stories.
How to recognize the limitations of marketing analytics, including common pitfalls in managing a marketing analytics project, and outline strategies to avoid them.