Overview
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This specialization combines customer relationship management with advanced analytics to help marketing professionals make data-informed decisions. Through hands-on projects using industry-standard tools like HubSpot, Google Analytics, and AI platforms, you'll master customer segmentation, sentiment analysis, and retention strategies. Develop skills to track brand mentions, analyze purchase velocity, and create targeted campaigns that measurably improve customer relationships and business outcomes.
Syllabus
- Course 1: Analyze and Respond to Customer Sentiment
- Course 2: Segment Customers, Boost Profitability
- Course 3: Manage Customer Journeys in HubSpot
- Course 4: Target Demographics: Boost Purchase Velocity
- Course 5: Analyze and Act on Audience Insights
- Course 6: Analyze Website Visitors with Google Analytics Segments
- Course 7: Segment and Retain Customers
- Course 8: GenAI for Customer Analytics and Insights with JUNE
- Course 9: Track & Grow Brand Mentions
Courses
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In this project you will learn how to use segments in Google Analytics and how they provide a deeper analysis of your website visitors. You will learn how to set up and use segments. You will learn about system segments and custom segments. You will also learn how to import segments. You will understand how using segments helps you make better decisions when it comes to increasing and converting your website traffic. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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In this course, we'll embark on a journey to transform the way you approach customer analytics. Imagine harnessing the cutting-edge power of Generative AI through June's innovative platform to unlock deeper insights with ease. No more getting lost in data overload; instead, you'll focus on making strategic decisions that propel your business forward. This course is designed for Product Managers, Data Analysts, Customer Success Managers, and Growth Marketers who are looking to elevate their customer analytics capabilities. Whether you're managing product roadmaps, analyzing user data, enhancing customer success, or driving growth, this course will help you harness the power of June and GenAI to make informed, data-driven decisions. Learners should have a basic understanding of product analytics and be familiar with SaaS products. While no deep technical expertise is required, a foundational knowledge of how data is collected, interpreted, and used within SaaS environments will help participants get the most from this course. By the end of this course, learners will be able to analyze the role of June in transforming customer analytics and identify its key use cases. They will be equipped to set up June's platform for effective data collection and analysis, as well as create AI-generated reports using June's features. Additionally, participants will learn to apply insights from June to inform strategic product decisions.
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Modern consumers shift preferences faster than ever, and marketers can’t rely on assumptions. This course teaches you how to run professional survey studies and convert demographic data into decisions that move campaigns forward. You’ll learn how to execute surveys end-to-end, segment response data using Excel, and present insights with clarity and business impact. To succeed, you only need basic digital marketing familiarity and comfort working with spreadsheets. By the end of this course, you will be able to: Execute comprehensive survey studies using online platforms from design through data export Analyze response data by demographic segments to identify meaningful audience patterns Create professional insight presentations with targeted charts and strategic recommendations This course is unique because it combines hands-on platform skills with analytical expertise, giving you both the technical execution capabilities and the strategic insight development skills that modern marketing teams demand. To be successful in this course, you should have basic experience with digital marketing concepts and familiarity with data analysis tools like Excel.
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Did you know that businesses using demographic segmentation see engagement rates increase by 26% and email revenue grow by 15%? This Short Course was created to help digital marketing professionals accomplish faster customer conversions and increased revenue through data-driven targeting. By completing this course, you'll be able to unlock actionable insights from Google Analytics demographic reports, identify which customer segments drive accelerated purchasing behavior, and deploy AI-powered audience segments to Facebook Ads with measurable campaign lift. These are skills you can apply immediately to optimize your next marketing campaign. By the end of this course, you will be able to: Analyze demographic and engagement data to identify factors influencing purchase velocity. Apply model-generated consumer segments to multimedia ad targeting and validate impact with A/B testing. This course is unique because it bridges the gap between analytics and action, teaching you not just how to find high-velocity customer segments, but how to activate them across advertising platforms and prove their business impact through controlled experiments. To be successful in this course, you should have basic familiarity with Google Analytics dashboards and fundamental marketing concepts.
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Did you know that over 90% of consumers say how a company responds to feedback directly impacts their loyalty? Understanding and acting on customer sentiment is no longer optional—it is a competitive advantage. This Short Course was created to help digital marketing professionals systematically manage customer interactions across digital channels while leveraging sentiment analysis to drive data-informed engagement strategies and improve customer relationship outcomes. By completing this course, you will be able to analyze customer sentiment data, uncover actionable insights, and apply structured response procedures within CRM systems—skills that help strengthen relationships, boost satisfaction, and refine your engagement strategies. By the end of this 3-hour long course, you will be able to: Apply standard procedures to respond to customer comments and document interactions in a CRM. Analyze weekly sentiment data to derive key customer insights. This course is unique because it combines customer service best practices with data analytics, empowering you to turn customer feedback into measurable improvements and align engagement tactics with real-time sentiment trends. To be successful in this project, you should have: Basic social media knowledge Familiarity with CRM concepts Understanding of customer service principles Data analysis fundamental
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Customer relationships drive business success, yet most marketing professionals struggle to systematically track their customer journey stages and maintain accurate contact data. This Short Course was created to help digital marketing professionals accomplish effective customer lifecycle management using HubSpot CRM. By completing this course, you'll be able to confidently navigate HubSpot's customer journey framework, accurately recognize different engagement levels, and efficiently create and manage contact records with proper data organization that you can apply immediately in your daily marketing operations. By the end of this course, you will be able to: Recognize typical stages within a customer lifecycle framework. Apply procedures to create and manage contact records in a CRM system. This course is unique because it combines foundational customer relationship management concepts with hands-on HubSpot platform practice, ensuring you can immediately implement systematic contact management in real marketing scenarios. To be successful in this course, you should have a background in basic digital marketing concepts and access to HubSpot CRM.
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In this short, hands-on course, learners explore how to monitor and interpret online conversations that shape a brand’s visibility. Using tools like Google Alerts and web monitoring dashboards, the course walks through setting up brand mention tracking, interpreting key metrics such as impressions, mentions, and share of voice, and understanding how those numbers reflect awareness growth. Through guided activities, learners create alert labels, analyze data for accuracy, and organize findings into clear reports. Case examples and interactive discussions help connect tracking metrics to real-world marketing decisions. By the end, learners can confidently measure brand visibility trends, identify new awareness opportunities, and communicate results that link monitoring insights to campaign performance.
Taught by
Carma Baughman, Hurix Digital, LearningMate, Starweaver, Yash Thakker and ansrsource instructors