Generative AI for Marketing Analysts

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

1000+ Prompts to Power Every Marketing Analysts Task and Choose Your Preferred Tool: ChatGPT, Gemini, or Claude

Created byEdcorner Learning

Last updated 5/2026

English

English [Auto],

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
Understand generative AI, a class of models that create new content from data with transformer architectures like GPT. Explore applications for marketing and content creation, with ethical safeguards.
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
Generative AI automates repetitive marketing analytics tasks, accelerates insights, enables personalization at scale, and boosts creative ideation and predictive analytics, while enhancing collaboration with global teams and stakeholders.
Overview of GenAI Tools: ChatGPT, Jasper, Bard, Claude3:15
Explore how generative ai tools like ChatGPT, Jasper, Bard, and Claude empower marketing analysts to generate content, analyze data, and automate campaigns.
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
Leverage generative AI prompts to extract insights from campaigns and consumer behavior, including descriptive, diagnostic, predictive, comparative, prescriptive, and persona-based prompts for actionable marketing optimization.
Writing Effective Prompts for Ad Copy Generation3:29
Learn to write effective prompts for ad copy generation that align with brand messaging, platform requirements, and audience insights, using tone, format, and AB variation to test urgent, persuasive content.
Crafting Prompts for Social Media Trend Analysis3:41
Leverage generative AI with crafted prompts to track real-time social media trends, compare brands and competitors, and extract sentiment, influencer activity, and platform insights for marketing.
Prompt Templates for Data Summarization and Reports3:34
Learn to use well crafted prompt templates to transform campaign data into executive summaries, dashboards, and trend analyses, enabling consistent, audience tailored AI-driven reports across campaigns and time periods.

Using GenAI to Generate Customer Personas2:51
Generate data-driven customer personas with generative AI to tailor campaigns, messaging, and product positioning. Craft well-defined prompts from product type, audience segment, and desired details to create holistic, actionable personas.
Behavioral Segmentation with Natural Language Models2:59
Leverage generative ai and large language models to enhance behavioral segmentation by analyzing unstructured data from reviews, chat transcripts, social media, and surveys to uncover sentiment motivations and engagement trends.
Prompting for Cluster Descriptions After K-Means/DBSCAN3:10
Translate clustering results from k-means or dbscan into human readable descriptions using generative ai, structured data, and prompts to support campaign planning and customer engagement.
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
Use generative AI to rapidly create social media posts and campaign ideas via prompts, aligned with trends and audience traits across Instagram, Facebook, Twitter, LinkedIn, and TikTok.
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

Using Generative AI to Forecast Sales and Conversions3:51
Leverage Generative AI to forecast sales and conversions using prompt-based scenarios that blend statistical logic with natural language understanding, and model scenarios with ChatGPT, Bard, or Claude.
Integrating GenAI with Time-Series Data for Trend Prediction3:45
Combine generative AI with time series data to blend quantitative forecasting with narrative interpretation and scenario-based reasoning, using prompts to reveal trends, seasonality, anomalies, and adaptive forecasts.
AI-Generated SWOT and PESTEL Analysis3:45
Leverage generative ai-powered swot and pestel analyses to rapidly assess internal capabilities, external macro factors, and competitor dynamics, enabling dynamic scenario planning and informed marketing decisions.
Competitor Benchmarking and Trend Mapping via LLMs3:40
Leverage LLMs to automate competitor benchmarking and trend mapping, extracting real-time insights from brands' marketing strategies, social media, and product launches, to shape positioning and growth.
Case Study: Forecasting Campaign ROI Using Prompt-Based Tools1:50

Customizing Offers and Messaging Based on AI Prompts3:19
Leverage prompt-based customization to tailor offers and messages for segments, personas, and behaviors, boosting engagement, conversions, and brand loyalty across channels.
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
Leverage generative AI to craft personalized email and SMS templates at scale. Tailor tone, offers, and calls to action using customer data, lifecycle stages, and CRM-powered prompts.
Dynamic Web Content and Product Recommendations Using GenAI3:29
Generative AI enables real-time dynamic web content and personalized product recommendations by analyzing user data and prompts, boosting engagement and conversion while reducing the need for fixed rules and coding.
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
Learn to generate marketing reports with prompt chains that transform data from Google Analytics, social insights, and CRM dashboards into cohesive reports, improving audience engagement, budget optimization, and strategic alignment.
Using AI to Translate KPIs into Narrative Insights3:37
Translate KPIs like CTR, return on ad spend, CPA, and conversion rate into narrative insights with generative AI. Use prompts to explain trends and anomalies and guide cross-channel marketing decisions.
Visualization Recommendations Using Text-to-Chart AI3:17
Learn how text-to-chart AI translates marketing KPIs and trends into effective visuals, enabling quick, label-rich charts and story-driven dashboards from natural language prompts.
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.

This course is designed for learners who want to build practical skills in GenAI, Generative AI, prompt engineering, and modern Generative AI tools. The course also helps you understand how to write effective prompts, improve AI-generated responses, select the right AI tool for different tasks, and apply Generative AI concepts in real-world situations. Whether you are a beginner, developer, student, professional, entrepreneur, or business leader, this course will help you strengthen your understanding of Generative AI applications, prompt design, AI workflows, large language models.

This course gives you access to 1,000+ practical AI prompts that you can use with your preferred Generative AI tool, including ChatGPT, Google Gemini, and Claude. Instead of being limited to one platform, you can choose the AI assistant that best fits your needs and apply the prompts to workplace, business, productivity, career development, and everyday problem-solving. Each prompt can be copied, customized, and adapted across different AI platforms, helping you improve your prompt engineering skills and achieve more accurate, relevant, and useful results.

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: