Email Analytics & AI for Marketing Performance

Board Infinity via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

14 hours 59 minutes
Sessions

Self-Paced
Level

Advanced
Subtitles

English

Found in

Overview

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Build advanced measurement and AI capabilities to improve campaign performance, personalization, and revenue attribution with this email analytics course. You will learn how to use data, predictive models, and AI-powered tools to design smarter lifecycle systems and present clear business insights. The course begins with AI for email marketing, focusing on generating personalized subject lines, ai email content, and dynamic product recommendations. You will evaluate AI outputs for quality, apply predictive personalization models, and implement responsible AI practices in ai powered email marketing environments. Next, you will explore predictive segmentation and send-time optimization. You will compare traditional segmentation with machine learning approaches, interpret model accuracy, and adapt measurement strategies in a privacy-first ecosystem. In Module 3, you will master email analysis and attribution. You will integrate GA4, UTM tracking, and CRM data to measure cross-channel impact, conduct cohort analysis, and design holdout tests to validate incremental lift and revenue contribution. By the end, you will: • Apply AI tools to personalize and optimize email campaigns • Build predictive segmentation and timing models • Measure revenue impact using attribution and cohort analysis • Design dashboards and present data-driven recommendations This course is ideal for digital marketers, CRM specialists, marketing analysts, and growth managers seeking advanced email analysis skills. Develop measurable expertise in AI-powered email marketing and strengthen your strategic decision-making with confidence. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Syllabus

AI in Content Creation and Personalization

This Module introduces learners to the transformative role of AI in modern email marketing, focusing on how generative tools enhance creativity, personalization, and content efficiency. The module begins with the evolving career landscape in AI-driven marketing, outlining the skills, tools, and roles shaping the future of the industry. Learners then explore core AI use cases in email campaigns, including subject line generation, message optimization, visual creation, and ethical considerations when using machine-generated content.

Predictive Segmentation and Send-Time Optimization

This Module focuses on applying machine learning and predictive analytics to improve targeting, timing, and overall email engagement. Learners begin by understanding the fundamentals of predictive audience modeling, exploring how ML algorithms analyze behavior, purchase patterns, and engagement signals to forecast customer actions. The module highlights how predictive segmentation differs from traditional rule-based methods, offering more accurate and dynamic targeting. It then introduces send-time optimization, explaining how AI determines the ideal moment to deliver each email for maximum opens and clicks. Learners review real case studies demonstrating improved CTR and engagement through timing predictions. The final lessons cover evaluating predictive models using accuracy metrics, lift charts, and validation techniques while identifying common pitfalls such as data leakage and overfitting.

Advanced Analytics and Attribution

This Module equips learners with the analytical skills needed to measure the true impact of email marketing within an omnichannel environment. The module begins with the essentials of tracking and data integration, including UTM tagging, GA4 setup, and connecting CRM data to build a unified performance view. Learners discover how these integrations enable deeper visibility into user behavior across channels, from email to website interactions. The next lessons introduce cohort and retention analysis, teaching learners how to segment audiences by behavior or lifecycle stage, monitor long-term engagement, and translate insights into actionable lifecycle improvements. The module then moves into attribution and experimentation, covering first-touch, last-touch, and multi-touch models, as well as designing holdout tests and calculating incremental lift to validate true campaign contribution.

The AI-Enhanced Email System

This Module brings together all concepts from the course to help learners design a complete, AI-powered email marketing ecosystem. The module begins with planning a 90-day lifecycle flow, teaching learners how to structure multi-stage journeys that incorporate AI-driven personalization, predictive triggers, and clear KPI benchmarks. Learners then move into dashboarding, where they explore visualization tools and build a live performance dashboard that tracks engagement, conversions, and retention across the lifecycle. The final lessons focus on communicating insights, emphasizing how to translate analytics into compelling stories for stakeholders. Learners practice crafting executive summaries, identifying key opportunities, and recommending strategic next steps using data-backed evidence. The capstone project requires participants to design and present a fully integrated AI-powered lifecycle system and analytics dashboard, demonstrating their mastery of personalization, attribution, and performance measurement.