What will you learn in Marketing Analytics: Stand Out by Becoming an Analytics Pro! Course
Understand the fundamentals of marketing analytics and data-driven decision-making
Analyze marketing performance using metrics like CAC, CLV, and ROI
Explore segmentation, targeting, and A/B testing methods
Learn forecasting, regression, and time series analysis for marketing data
Gain skills in Excel, Google Analytics, and dashboard building for reporting
Program Overview
Module 1: Introduction to Marketing Analytics
⏳ 1 week
Topics: Role of analytics in marketing, key metrics overview, business decision impact
Hands-on: Build a marketing funnel dashboard and calculate CAC & CLV
Module 2: Customer Segmentation & Targeting
⏳ 1 week
Topics: Market segmentation types, clustering, targeting strategies
Hands-on: Perform RFM segmentation and create customer personas
Module 3: A/B Testing & Campaign Evaluation
⏳ 1 week
Topics: Hypothesis testing, test design, metrics comparison, conversion lift
Hands-on: Design and analyze A/B tests using Excel or Google Sheets
Module 4: Predictive Analytics & Forecasting
⏳ 1 week
Topics: Regression models, time series trends, churn prediction
Hands-on: Build simple forecasting models and visualize trends over time
Module 5: Tools and Dashboards for Marketers
⏳ 1 week
Topics: Excel, Google Analytics basics, KPI dashboards, data storytelling
Hands-on: Create real-time dashboards and connect data sources
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Job Outlook
Marketing analysts and digital strategists are in high demand in all industries
Roles include Marketing Analyst, Data-driven Marketer, and Growth Analyst
Average salary ranges from $70,000 to $110,000+ globally
Strong freelance and agency opportunities in marketing insights and analytics
Specification: Marketing Analytics: Stand Out by Becoming an Analytics Pro! Course
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FAQs
- Teaches fundamentals of marketing analytics and decision-making.
- Provides hands-on experience with tools like Excel and Google Analytics.
- Covers metrics like CAC, CLV, ROI, and customer segmentation.
- Offers practical exercises such as A/B testing and forecasting.
- Prepares learners for roles like Marketing Analyst, Growth Analyst, or Digital Strategist.
- Introduces regression models and time series analysis.
- Explains how to predict customer behavior and market trends.
- Offers hands-on projects for building forecasting models.
- Teaches how to use analytics to anticipate churn and retention.
- Demonstrates applying predictions to optimize marketing campaigns.
- Teaches evaluation metrics like CAC, CLV, and ROI.
- Guides learners through A/B testing and campaign performance analysis.
- Provides templates for calculating ROI and conversion metrics.
- Explains segmentation and targeting to improve campaign efficiency.
- Encourages data-driven optimization for marketing strategies.
- Designed for beginners with easy-to-follow explanations.
- Provides step-by-step exercises in Excel and Google Analytics.
- Breaks down complex concepts into actionable tasks.
- Offers real-world examples to enhance understanding.
- Helps learners gain confidence in data analysis and reporting.
- Teaches creating KPI dashboards for marketing insights.
- Covers visualization techniques to communicate data clearly.
- Demonstrates connecting data sources for real-time reporting.
- Offers exercises to build dashboards in Excel and Google Analytics.
- Prepares learners to present insights to stakeholders effectively.
