AI in Marketing: Practical Playbook & Toolkit Express Course

Leverage AI-driven active listening and sentiment analysis to understand customer emotions, combine AI insights with human review, and tailor responses to build trust at scale.

Discover how AI observes customer behavior through clicks, scrolls, and pauses to uncover hidden patterns, reduce friction, and boost engagement using GA4, heatmaps, and clustering.

Learn how AI detects joy, frustration, and desire in words, voices, and faces to craft messages that resonate and convert using sentiment, voice, and image analysis.

Design surveys and feedback loops to collect high quality, well labeled data that fuels accurate, fair AI models and reduces bias through focused questions and ethical incentives.

Monitor mentions and hashtags with AI-driven social listening to reveal customer opinions and trends. Analyze engagement and sentiment to address issues quickly.

Explore how AI analytics tools turn data into actionable insights. Use GA4, CRM integrations, Looker Studio, and Tableau to build machine learning-powered dashboards tracking conversion rate, CLV, and CAC.

Build trust through AI communication by being transparent and authentic. Personalize messages, reveal AI interactions, explain data use and privacy policies, and escalate complex queries to humans.

Collect feedback regularly with AI to turn data into actionable insights using post-purchase surveys, NPS tracking, and social media polls or chatbots.

Leverage AI to personalize at scale through email segmentation, tailored content and offers, predictive analytics, and AI-powered recommendations and dynamic website content to boost engagement, loyalty, and revenue.

Harness predictive analytics to anticipate customer needs by analyzing data for patterns, predict next actions like buy or churn, and drive the next-best action with offers or timing.

Convert predictions into campaigns by applying decision rules to segments, messages, and timing. Start small—one segment, one action, one KPI—and track results with Klaviyo, HubSpot, or ads.

Define an ai-centric marketing culture with roles, guardrails, routines, and a predictive use case with an if-then rule, supported by notion or confluence governance and a shared prompt library.

Craft precise prompts by defining role, context, and constraints, then specify channel, length, and format to produce actionable, on-brand marketing outputs.

Control brand voice by building a simple, repeatable voice system with three parts—tone, language rules, and structure rules—and use examples, tools, and quality assurance to prevent hallucinations.

Apply ai in marketing with a practical qa approach to protect trust, manage compliance risk, and ensure messages fit the funnel through accuracy, claims, privacy, brand fit, and human review.

Turn one core idea into ten assets with an AI-driven content engine, using a repeatable template and chatgpt-inspired copy, organized in Notion and Google Drive.

Discover AI-powered copywriting with proven hook frameworks and platform-spanning hooks (pain contrast, outcome, myth bust). Learn to craft CTAs aligned to awareness, consideration, and conversion stages.

Master ai-driven visuals by establishing a consistent brand system with mood, style, and composition, using a creative brief and tools like Canva, CapCut, and Dolly/Midjourney to generate and repurpose assets.

Learn to run a clean testing system that reveals what works fast by generating AI-driven ad variations, testing one variable at a time, and tracking CTR, CPA, and CVR.

Increase landing page conversions by reducing friction and building trust with a clear hero, audience, and CTA, using ai as a cro assistant for clarity and proof.

Define microconversions and track events across the funnel to reveal where the chain breaks. Use GA4, Google Tag Manager, and Looker Studio to measure, visualize, and optimize with simple hypotheses.

Create a clear weekly marketing cockpit by tracking four blocks: acquisition, funnel, revenue, and retention, and turn insights into actions: scale, fix, or test, using GA4, CRM, and Looker Studio.

Diagnose your marketing system, form testable hypotheses, and run one controlled test at a time to learn why results change, then standardize insights as rules with AI as coach.

Design high-impact automations that boost speed and consistency, from lead capture to CRM, welcome sequences, abandoned cart follow-ups, content publishing, to weekly reporting.

Roll out ai in marketing: pilot area in 30 days with training; expand to a second area by 60 days with a qa routine; dashboards, automations, governance by 90 days.

Submit a capstone with one persona, a messaging pillar, one content repurposing set of five assets, two ad angles, and five landing page changes, plus a weekly cockpit metrics list.