Generative AI for Marketing Analysts

Name: Generative AI for Marketing Analysts
Rating: 3.8 (6 reviews)

1000+ Prompts to Power Every Marketing Analysts Task

Created byEdcorner Learning

Last updated 5/2026

English

What you'll learn

Understand the core principles, capabilities, and evolution of Generative AI in marketing analytics.
Access and apply a library of 1000+ GenAI prompts built specifically for marketing analysts.
Differentiate traditional marketing analytics methods from AI-powered, prompt-driven workflows.
Gain hands-on experience with leading GenAI tools such as ChatGPT
Learn the fundamentals of prompt engineering to generate accurate, actionable outputs for various marketing tasks.
Design and deploy effective prompts for campaign insight generation, social listening, ad copywriting, and trend analysis.
Create customer personas and behavioral segments using natural language models and unsupervised learning outputs.
Apply GenAI to automate content creation—emails, SMS, CTAs, blog content, multilingual ads, and creative visual assets.
Forecast campaign performance, generate SWOT and PESTEL reports, and benchmark competitors using LLMs.
Customize customer journeys, offers, and messaging using AI-driven personalization strategies.
Generate marketing performance summaries, dashboards, and reports using prompt chains and text-to-chart visualizations.
Translate complex KPI data into stakeholder-ready insights and recommendations using natural language outputs.
Analyze real-world case studies where companies leveraged GenAI to enhance targeting, automation, and creative performance.
Build a future-ready mindset to continuously adapt GenAI tools across emerging digital marketing challenges.

Course content

8 sections • 85 lectures • 3h 16m total length

What is Generative AI? – Concepts and Capabilities2:13
Traditional Marketing Analytics vs. AI-Powered Marketing Analytics2:18
Traditional marketing analytics rely on manual processes and historical data; AI-powered analytics automate, scale, and deliver real-time insights, including NLP sentiment analysis and generative campaign drafts.
Benefits of Generative AI for Marketing Analysts2:58
Overview of GenAI Tools: ChatGPT, Jasper, Bard, Claude3:15
Use Case Landscape: Where Marketing Analysts Can Apply GenAI3:41

Basics of Prompt Engineering for Marketing Use3:28
Master prompt engineering for marketing analytics by using role-based prompting, structured output, and iterative refinement to generate targeted insights and ready-to-share reports. Tailor outputs to campaigns and audiences.
Types of Prompts for Campaign and Consumer Insights3:33
Writing Effective Prompts for Ad Copy Generation3:29
Crafting Prompts for Social Media Trend Analysis3:41
Prompt Templates for Data Summarization and Reports3:34

Using GenAI to Generate Customer Personas2:51
Behavioral Segmentation with Natural Language Models2:59
Prompting for Cluster Descriptions After K-Means/DBSCAN3:10
Case Study: Persona Generation Using ChatGPT for an E-commerce Brand1:41
AI-Powered Voice of Customer (VoC) Analysis3:10
Leverage generative AI to perform voice of customer analysis across social media, reviews, and chats, extracting themes, emotional undertones, and unmet needs in real time for targeted marketing.

AI for Copywriting: Headlines, CTAs, Emails, Product Descriptions3:31
Leverage generative AI to automate and optimize copy across headlines, CTAs, emails, and product descriptions, delivering tailored, data driven messaging, SEO ready variations, and scalable testing.
Generating Social Media Posts and Campaign Ideas with GenAI3:22
Using DALL·E and Midjourney for Visual Content Creation1:44
Multilingual Content Generation for Global Campaigns3:13
Leverage generative AI to create multilingual content for global campaigns, translating and localizing social posts, ads, and web copy with a culturally aligned tone and local SEO.
Case Study: Using Jasper AI to Automate Blog Creation1:41

Customizing Offers and Messaging Based on AI Prompts3:19
Journey Mapping with Generative AI from CRM Data3:18
Generative AI automates and scales customer journey mapping from CRM data. Leverages lead source, email interactions, and purchase history to reveal emotional states and friction.
Personalized Email and SMS Campaign Templates3:07
Dynamic Web Content and Product Recommendations Using GenAI3:29
Case Study: Prompt-Based Personalization in Email Campaigns2:01

GenAI for Auto-Summarization of Campaign Performance3:25
Leverage generative AI to auto-summarize campaign performance across channels, transforming KPIs, ROI, and insights into executive-ready narratives and visuals for faster, smarter decisions.
Generating Marketing Reports with Prompt Chains3:33
Using AI to Translate KPIs into Narrative Insights3:37
Visualization Recommendations Using Text-to-Chart AI3:17
Case Study: Using ChatGPT and Excel for Automated Reporting2:02

Customer Segmentation and Persona Generation1:56
Behavioral Segmentation Using CRM and Web Analytics1:54
SWOT and PESTEL Analysis for Market Strategy1:59
Campaign Performance Summarization and Interpretation1:53
Cross-Channel Attribution Modeling1:53
Conversion Funnel Analysis and Drop-Off Insights1:58
Prompt-Based Sales Forecasting1:49
Ad Copy Performance Analysis and Testing Strategy1:46
Email Marketing Analysis and Optimization1:46
Social Media Engagement Trend Analysis1:51
Influencer Campaign ROI and Sentiment Insights1:52
Product Performance Benchmarking Across Categories1:44
Geographic and Regional Marketing Performance Breakdown1:40
Customer Lifetime Value Prediction and Retention Insights1:43
Multichannel Budget Allocation Recommendations1:41
Competitor Benchmarking and Industry Trend Mapping1:44
Voice of Customer (VoC) Analysis from Reviews and Feedback1:48
Survey Insights Summarization and Action Planning1:38
Dynamic Personalization Recommendations for Campaigns1:32
Multilingual Content Analysis and Localization Strategy1:39
AI-Generated Marketing Reports (Weekly/Monthly/Quarterly)1:45
Prompt Chains for Full-Funnel Analytics Reporting2:25
Predictive Modeling for New Product Launches1:45
Seasonal Demand Trend Forecasting1:40
AI-Generated Product Recommendations from Purchase Data1:36
Landing Page Performance Insights and A/B Test Suggestions1:46
Custom Offer and Incentive Testing Based on Buyer Segments1:50
Email and SMS Campaign Personalization at Scale1:48
Personalization Prompts Based on Real-Time Behavioral Data1:58
Text-to-Chart and Visualization Prompting for Stakeholder Reports1:45
Executive Summary Generation from KPI Dashboards1:47
Anomaly Detection and Revenue Loss Diagnostics1:49
Affiliate and Referral Program Analysis Prompts1:38
Customer Churn Prediction and Win-Back Strategy Prompts1:37
Google Ads + Meta Ads Performance Comparison Prompts1:45
Journey Mapping Using CRM and On-Site Behavior1:54
Prompt-Based Insights from Product Return or Refund Data1:41
Brand Sentiment Tracking Across Digital Channels1:43
Media Spend Efficiency Analysis and Prompt-Based Suggestions1:41
Dynamic Report Generation by Product Line or Region1:47
Generative Prompts for Marketing Funnel Automation Planning1:42
Lead Scoring Model Optimization Using GenAI1:44
AI-Based Competitor Response Simulation to Marketing Moves1:49
KPI-to-Insight Translation Prompts for Presentations1:35
Prompt Templates for Automated Creative Brief Generation1:53
Prompts for Hypothesis Generation in A/B or Multivariate Testing1:37
Marketing Data Clean-Up and Standardization Prompts1:45
Event-Based Campaign Response Modeling1:43
Executive Dashboard Commentary and Strategic Recommendations1:32
Creative Performance Analysis and AI-Powered Testing Recommendations1:50

Requirements

Basic understanding of marketing fundamental
No coding experience required
Curiosity and a strategic mindset

Description

The "Generative AI for Marketing Analysts" course is designed to equip modern marketers and data professionals with advanced capabilities in using AI-driven tools to optimize, automate, and elevate marketing performance. The course begins by introducing foundational concepts and capabilities of Generative AI, distinguishing it from traditional marketing analytics approaches, and highlighting its transformative benefits for marketing analysts. Learners are introduced to industry-leading GenAI tools such as ChatGPT, Jasper, Bard, Claude, and DALL·E, exploring a wide range of use cases from campaign planning to content creation. A strong focus is placed on the art and science of prompt engineering, with practical instruction on writing effective prompts for campaign insights, ad copy, social trend analysis, and report generation. Participants will gain hands-on experience in using GenAI to generate detailed customer personas, conduct behavioral segmentation, describe clusters from K-Means or DBSCAN, and build voice-of-customer (VoC) models.

The course further explores AI-powered content generation, including writing headlines, CTAs, emails, and multilingual product descriptions, with real-world case studies such as Jasper’s blog automation and ChatGPT’s persona modeling for e-commerce. Advanced forecasting modules cover sales prediction, SWOT/PESTEL generation, and competitor benchmarking using time-series and trend-mapping tools. Learners will also apply GenAI for personalized marketing, customizing offers, generating email/SMS templates, mapping journeys from CRM behavior, and building dynamic content. Performance monitoring is addressed through auto-summarization, prompt-chained report generation, KPI narrative translation, and text-to-chart visualization, with practical case studies using ChatGPT and Excel automation. The course culminates with access to a library of 1000+ best prompts tailored for marketing analysts to enable immediate implementation in real-world settings.

Who this course is for:

Marketing Analysts looking to enhance their productivity, reporting, and campaign planning using AI-driven tools.
Digital Marketers and Performance Marketers who want to automate insights, forecast ROI, and personalize campaigns at scale.
Marketing Automation Specialists interested in integrating AI-generated content, journey mapping, and CRM behavior tracking into their workflows.
Content Strategists and Copywriters eager to streamline copy creation, trend analysis, and audience segmentation using GenAI.
Business Analysts and Data Analysts working in marketing teams who want to bridge data insights with AI-generated storytelling and visualizations.
CMOs, Marketing Managers, and Team Leads aiming to upskill their teams for the next generation of data-driven, AI-augmented decision-making.
Students, freelancers, or early-career marketers seeking to build GenAI fluency and stand out in competitive, AI-first job markets.
Product marketers and growth teams who need rapid iteration, persona modeling, and messaging experimentation without developer dependencies.
Anyone interested in transforming traditional marketing workflows—from reporting to ideation—with the help of Generative AI tools.

Generative AI for Marketing Analysts

What you'll learn

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Course content

Introduction5 lectures • 14min

Prompt Engineering for Marketing Insights5 lectures • 18min

AI-Driven Consumer Behavior and Segmentation5 lectures • 14min

Content Strategy and Creative Development5 lectures • 14min

Predictive Analytics and Market Forecasting5 lectures • 17min

Personalization and Customer Journey Mapping5 lectures • 15min

Marketing Dashboards and Report Automation5 lectures • 16min

1000+ Prompts - Generative AI for Marketing Analyst50 lectures • 1hr 29min

Requirements

Description

Who this course is for: