AI Marketing and Campaign Optimization

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

11 hours 24 minutes
Sessions

On-Demand
Subtitles

English

Found in

Part of

AI SEO & GEO: Boost Your Brand's AI Visibility

Overview

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By completing this course, you will be able to analyze marketing and sales performance data, optimize campaigns across digital channels, and use AI-supported insights to improve engagement and revenue outcomes. AI Marketing and Campaign Optimization focuses on turning marketing strategy into measurable results. You’ll learn how to evaluate campaign performance across channels, analyze content engagement, and connect marketing activities to sales and customer outcomes. The course emphasizes data-driven decision-making using AI-enabled analytics rather than intuition alone. You’ll work with real marketing scenarios such as optimizing content schedules, analyzing e-commerce performance by referral source, evaluating co-marketing and partnership campaigns, and assessing sentiment in AI-generated brand responses. You’ll also learn how marketing automation supports lead nurturing and how customer data can be used to calculate and interpret customer lifetime value. What makes this course unique is its focus on optimization and revenue impact. Rather than stopping at reporting, you’ll learn how to interpret performance signals, identify opportunities for improvement, and recommend concrete actions that increase campaign effectiveness. This course prepares you for advanced performance measurement and scaling work in the final course of the program.

Syllabus

Optimize Campaigns: Boost Your AI Visibility: Launching Omnichannel Campaigns for Visibility

You will apply omnichannel strategies across platforms such as HubSpot, Meta Ads, and Google Ads to launch coordinated campaigns that improve visibility and meet defined performance targets. You’ll integrate cross-channel assets and align tactics with measurable campaign goals.

Optimize Campaigns: Boost Your AI Visibility: Evaluating Channel Performance and Shifting Budgets

You will evaluate marketing channel performance using metrics such as cost per lead (CPL) and return on ad spend (ROAS). You’ll identify underperforming channels and recommend data-driven budget reallocations to optimize campaign impact.

Boost Engagement: Optimize AI Content Performance: Why AI Matters for Engagement

You will apply AI-driven scheduling and optimization tools to plan and publish social media content that improves visibility and audience engagement. You’ll build structured calendars using AI-assisted platforms to support consistent performance

Boost Engagement: Optimize AI Content Performance: What Works: Understanding Performance Data

You will analyze content performance data to determine which formats, posting times, and messages drive the highest engagement. You’ll interpret analytics outputs to design improvement plans backed by measurable insights.

Optimize Sales with AI E-commerce Analytics: Optimizing Product Content for Sales

You will apply location-based optimization techniques to enhance Shopify product titles and descriptions. You’ll create AI-powered product content designed to increase discoverability and drive conversions.

Optimize Sales with AI E-commerce Analytics: Tracking Revenue by Referral Source

You will analyze e-commerce data using Shopify and Google Analytics 4 to quantify revenue by referral source. You’ll interpret performance trends to make data-driven decisions that improve online sales outcomes.

Analyze AI to Amplify Brand Success: Power Up Campaigns Through Co-Marketing

You will apply co-marketing principles to plan and execute collaborative campaigns with shared goals and performance metrics. You’ll design structured initiatives that strengthen partnerships and extend campaign reach.

Analyze AI to Amplify Brand Success: Decode AI Sentiment for Smarter Brand Strategy

You will evaluate how AI assistants describe brands and competitors by analyzing sentiment patterns in responses. You’ll interpret AI-generated perceptions to refine messaging and strengthen brand positioning.

Automate AI Lead Nurturing & CLV Analysis: Automate and Optimize AI-Enhanced Lead Nurturing

You will apply marketing automation tools to build structured email nurture sequences that guide leads toward conversion. You’ll design AI-enhanced workflows that improve efficiency and campaign performance.

Automate AI Lead Nurturing & CLV Analysis: Analyze Customer Lifetime Value (CLV) to Drive Retention

You will analyze customer data to calculate Customer Lifetime Value (CLV) for defined segments. You’ll interpret revenue patterns to identify high-value audiences and inform retention strategies.

Project: AI-Driven Campaign & Revenue Optimization Analysis

In this project, you will analyze multi-channel campaign performance and revenue signals to diagnose what is working, what is underperforming, and where optimization effort should be focused. Using AI-assisted analysis and structured reasoning, you will evaluate engagement, conversion, automation effectiveness, and customer lifetime value (CLV), then recommend clear, prioritized optimization actions. This project simulates a real-world analytics task commonly performed by growth analysts, performance marketers, and revenue teams. The emphasis is on diagnosis, trade-offs, and decision-making, not dashboard creation, data engineering, or tool configuration. The final deliverable is leadership-ready analytics brief that demonstrates your ability to turn performance data into actionable recommendations.