Advanced Campaign & Channel Analytics

This course introduces practical, hands-on skills for creating and optimizing campaign visuals using generative AI. You’ll learn how to write effective prompts, refine outputs for brand consistency, and prepare assets for A/B testing. Through guided lessons, you’ll generate image variations, compress them for performance, and upload them to a CMS. By the end, you’ll have a clear, repeatable workflow for producing campaign-ready visuals that capture attention and deliver results.

"Unlock the power of user segmentation to drive data-informed marketing decisions! Did you know that companies using advanced segmentation strategies see 10x higher engagement rates than those using generic targeting approaches? This short course was created to help digital marketing professionals accomplish systematic user behavior analysis through strategic segmentation. By completing this course, you'll be able to activate predefined user segments within analytics platforms, conduct meaningful metric comparisons, and translate data differences into actionable marketing insights that you can apply immediately in your campaigns By the end of this course, you will be able to: • Apply built-in segments to compare user behavior metrics between groups • Identify significant behavioral differences across audience segments • Formulate direct observations that inform marketing strategy This course is unique because it focuses on hands-on application rather than theory, giving you immediate skills to enhance your analytics workflow and improve campaign targeting effectiveness. To be successful in this course, you should have basic familiarity with digital analytics platforms and fundamental marketing concepts."

Transform your data into compelling, actionable stories that engage audiences and influence decisions. This short course equips digital marketing professionals with frameworks, practice exercises, and assessment tools to master narrative-driven analytics presentations. By completing this course, you'll be able to structure compelling narratives around data visualizations, create presentations that clearly connect insights to business objectives, and systematically improve your storytelling effectiveness based on audience feedback - skills you can apply immediately in your next quarterly review or client presentation. By the end of this course, you will be able to: • Apply presentation frameworks like SCQA to craft visual narratives from data visualizations • Evaluate audience feedback to improve storyline coherence and engagement This course is unique because it bridges the gap between data analysis and persuasive communication, teaching you not just what story to tell, but how to tell it in a way that transforms insights into influence. To be successful in this project, you should have a background in basic data visualization tools and experience creating business presentations.

Transform your marketing campaigns from guesswork to strategic precision with Google Analytics and data-driven attribution models. This course empowers digital marketers to systematically analyze user behavior across market demand phases, apply sophisticated model comparisons to optimize campaign targeting, and evaluate true cross-channel effectiveness using multi-touch attribution frameworks. You'll master the art of segmenting analytics data to identify high-intent audiences, implement attribution models that reveal hidden campaign impacts, and create comprehensive performance evaluations that drive budget reallocation decisions. By the end, you'll confidently navigate Google Analytics dashboards, interpret attribution insights, and present data-driven recommendations that transform marketing ROI and campaign strategy alignment.

Did you know that decision-makers spend nearly 60% more time interpreting dashboards than acting on insights when visuals are poorly designed? The difference between confusion and clarity often comes down to dashboard precision and presentation. This Short Course was created to help professionals in this field transform raw marketing data into executive-ready performance stories and systematically optimize how their visualizations influence stakeholder understanding and decision-making. By completing this course, you will be able to design professional-grade dashboards that showcase marketing performance through clear KPIs, test visualization impacts through A/B experiments, and refine your insights for maximum executive engagement—skills you can apply right away to elevate data storytelling. By the end of this 3-hour long course, you will be able to: Create executive-ready dashboards to showcase campaign performance through key performance indicators. Evaluate the influence of visualization adjustments on user interpretation using A/B testing. This course is unique because it unites marketing analytics, data visualization, and behavioral insight, teaching you how to craft dashboards that not only inform but also persuade, helping teams make faster, more confident business decisions. To be successful in this project, you should have: Basic digital marketing knowledge Familiarity with Google Analytics Understanding of marketing KPIs Experience with data visualization concepts

Ready to turn guesswork into guaranteed results? This Short Course was created to help marketing professionals accomplish systematic email optimization through strategic testing. By completing this course, you'll be able to design hypothesis-driven A/B tests, configure optimal test parameters, and analyze results to drive continuous performance improvements. You'll master the art of testing one variable at a time while building a data-driven testing program that delivers measurable business impact. By the end of this course, you will be able to: Plan and execute A/B tests assessing variables such as subject lines and send times for optimal results Analyze results to solidify best practices and adjust future strategies accordingly This course is unique because it combines strategic planning frameworks with hands-on implementation, teaching you both the "why" behind testing methodology and the practical skills to execute tests that generate actionable insights. To be successful in this course, you should have a background in basic email marketing concepts and familiarity with email campaign creation.

Learn how to evaluate marketing performance beyond surface-level metrics and make better budget decisions using attribution analysis. This course teaches you how to assess the true contribution of each marketing channel across the full customer journey. You’ll start by comparing attribution models such as last-click, first-click, linear, time-decay, and data-driven. You’ll learn how each model assigns credit differently and how those differences impact how you interpret performance. Next, you’ll apply attribution insights to real business decisions. You’ll calculate attributed ROAS and CPA, identify undervalued “assist” channels, and understand how channel interactions drive conversions. You’ll also learn how to communicate these insights clearly to stakeholders who rely on standard dashboard metrics. Through hands-on labs, you’ll analyze conversion paths, compare model outputs, and propose budget reallocations based on data. This course is best suited for marketing analysts, digital marketers, performance marketers, and other professionals responsible for measuring marketing effectiveness and optimizing channel investments. A basic understanding of digital marketing channels and metrics, such as conversions and ROAS, is helpful for success in this course. By the end of the course, you’ll be able to evaluate channel contribution accurately and make informed, cross-channel budget decisions.

CRM data holds the full story of how leads become customers, but most teams only track surface level metrics. In this course, you’ll learn how to analyze CRM data to understand lead progression, identify revenue bottlenecks, and improve customer engagement. You’ll begin by exploring the customer lifecycle, from new leads to closed deals, and learn how to measure conversion rates between each stage. Using real-world pipeline data, you’ll identify where leads drop off and calculate the true impact of those losses. You’ll also learn how to measure pipeline velocity to uncover hidden process inefficiencies. Next, you’ll move into applying CRM insights to drive action. You’ll learn how to segment audiences using data like lead score, purchase history, and engagement signals. You’ll design personalized marketing workflows that deliver the right message at the right time, replacing generic campaigns with targeted, data-driven communication. Through hands-on activities, you’ll audit a sales pipeline, build a funnel analysis, and design a complete automation workflow. This course is best suited for marketing professionals, CRM specialists, sales operations professionals, and marketing analysts who want to use customer data to improve lead management, customer engagement, and conversion performance. A basic understanding of marketing, sales funnels, or analytics, along with familiarity with spreadsheets, is helpful for success in this course. By the end of the course, you’ll be able to translate CRM data into clear recommendations that improve conversion rates, customer engagement, and marketing performance.

Paid media performance often looks strong at a high level, but hidden inefficiencies can quietly drain your budget. In this course, you’ll learn how to analyze and optimize paid media campaigns across Search, Social, and Display channels using practical, data-driven frameworks. You’ll start by auditing campaign performance at a granular level, identifying underperforming segments across devices, geographies, and audiences. You’ll work with key metrics such as CTR, CPC, CPA, and ROAS to uncover where spend is driving value, and where it’s being wasted. Next, you’ll move from analysis to action by applying budget reallocation strategies based on marginal performance trends. You’ll learn how to evaluate the return on additional spend, identify diminishing returns, and shift budget toward the most efficient campaigns without disrupting platform performance. Through hands-on activities, you’ll analyze real-world-style datasets, identify waste, and recommend targeted optimizations. This course is designed for digital marketers, paid media specialists, marketing analysts, and other professionals who want to improve campaign performance and make more effective budget allocation decisions. No prior experience is necessary, though basic familiarity with digital marketing metrics such as CTR, CPC, CPA, and ROAS can help you get the most out of the course. By the end of this course, you’ll be able to confidently audit paid media performance, improve campaign efficiency, and make strategic budget decisions that drive better marketing outcomes.

Learn how to forecast marketing performance using real data instead of guesswork. In Marketing Forecasting Techniques, you’ll build practical skills to project ad spend and conversion outcomes, helping you plan budgets with greater accuracy. You’ll start by constructing baseline forecasts using methods like linear regression and growth models. You’ll learn how to analyze the relationship between ad spend and conversions and apply tools like Excel or Google Sheets to generate projections. From there, you’ll evaluate model outputs, compare forecasting approaches, and understand the assumptions behind each method. Next, you’ll refine your forecasts by accounting for seasonality and one-time events. You’ll calculate seasonal indices, adjust projections for peak periods like Q4, and apply promotion-based multipliers to reflect planned campaigns. You’ll also learn how to identify outliers and ensure your models reflect real-world conditions. Through hands-on activities, you’ll build forecasts, adjust budgets based on seasonal demand, and present recommendations grounded in data. These exercises mirror the work of performance analysts responsible for planning marketing spend and forecasting results. This course is best suited for marketing analysts, performance marketers, growth marketers, and other marketing professionals who use data to plan budgets, evaluate campaign performance, and forecast results. Basic familiarity with spreadsheets and marketing metrics, such as ad spend and conversions, is helpful for success in this course. By the end of this course, you’ll be able to build, evaluate, and refine marketing forecasts that support smarter budget planning and campaign strategy.

Learn how to turn Google Analytics 4 (GA4) data into actionable insights for marketing decisions. In Google Analytics Insights, you’ll go beyond standard reports to analyze user behavior, identify conversion bottlenecks, and ensure your data is reliable. You’ll start by working with GA4 explorations custom analysis tools that help you understand how users move through your site. You’ll build funnel and path explorations to identify where users drop off, what actions lead to conversion, and how different traffic sources perform. These techniques help you uncover patterns that standard reports cannot show. Next, you’ll learn how to evaluate the quality of your analytics data. You’ll analyze event tracking and parameter implementation to identify gaps that affect reporting accuracy. Using tools like DebugView and audit frameworks, you’ll diagnose issues such as missing parameters, inconsistent naming, and broken attribution. Through hands-on labs using the GA4 Demo Account, you’ll practice building explorations, tracing user paths, and creating tagging improvement plans. These real-world exercises reflect the work of marketing analysts responsible for reporting and data quality. This course is designed for marketing analysts, digital marketers, web analysts, and other professionals who use analytics data to measure performance and inform marketing decisions. Basic familiarity with digital marketing metrics or web analytics tools is helpful for understanding the concepts and getting the most out of the hands-on activities. By the end of this course, you’ll be able to analyze user journeys, detect data gaps, and recommend improvements that lead to more accurate reporting and better marketing decisions.