AI-Powered Growth Hacking: Automate Customer Acquisition and Scale Revenue
You're under pressure. Growth targets keep rising, but acquisition costs are climbing, conversions are stalling, and your team is stuck in rinse-repeat tactics that no longer move the needle. You know AI could be your advantage - but you're not sure where to start, how to implement it without massive tech overhead, or which strategies actually convert. Most AI courses focus on theory, not execution. They leave you with concepts, not campaigns. You need a system - one that’s battle-tested, ruthlessly practical, and designed to deliver measurable revenue impact in weeks, not years. That’s exactly what AI-Powered Growth Hacking: Automate Customer Acquisition and Scale Revenue delivers. This isn’t about learning AI for AI’s sake. It’s about mastering the growth levers that elite performers use to 10x acquisition, slash CAC, and compound revenue through automation. Imagine launching self-optimising funnels, hyper-personalised outreach at scale, and predictive lead scoring - all using tools you can deploy tomorrow. Take Sarah Lin, former Head of Growth at a Series B SaaS startup. After applying the exact frameworks in this course, she automated 92% of her cold outreach and increased qualified demo bookings by 317% in 8 weeks - with no additional budget. Her promotion to VP came 60 days later. This course is your blueprint to go from idea to revenue-generating AI systems in under 30 days. You’ll build a board-ready, fully documented AI growth strategy with real-world implementation guides, battle-tested templates, and plug-and-play automation blueprints. Here’s how this course is structured to help you get there.Course Format & Delivery Details Fully Self-Paced, Instant Online Access
The AI-Powered Growth Hacking course is designed for high-performing professionals who need flexibility without compromise. Enrol once, and gain immediate on-demand access to the complete curriculum - no fixed start dates, no weekly waits, no artificial delays. You progress at your pace. Whether you complete it in 10 focused days or spread it over 8 weeks, your progress is saved, tracked, and always available. Lifetime Access + Ongoing Updates at No Extra Cost
Your investment includes unlimited lifetime access to all course materials. As AI tools evolve, so does this course. Every update - new tools, revised frameworks, advanced automations - is delivered automatically and free of charge. This is not a one-time snapshot. It’s a perpetually upgraded growth asset. Accessible Anywhere, On Any Device
Designed for global, 24/7 access, the course platform is fully responsive. Study on your desktop during deep work sessions, review modules on your phone during commutes, or pull up templates on your tablet in meetings. Full mobile-friendly functionality ensures you’re never locked out of your growth toolkit. Outcomes You Can Expect
Most learners implement their first revenue-generating automation within 7 days of starting. A fully functional AI growth strategy - including customer segmentation models, outreach sequences, and performance dashboards - is achievable in 30 days or less. The average time to first measurable result: 11 days. Direct Instructor Guidance & Community Support
You’re not alone. Gain access to dedicated instructor-led support via asynchronous Q&A channels. Get detailed feedback on your automation designs, campaign logic, and growth architecture. You also join a private community of AI-driven growth leaders for peer collaboration, accountability, and advanced use-case refinements. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you earn a verifiable Certificate of Completion issued by The Art of Service - a globally recognised credential trusted by thousands of enterprises. Display it on LinkedIn, resumes, and internal promotions as proof of mastery in applied AI growth systems. Transparent, One-Time Pricing - No Hidden Fees
You pay a single upfront price. There are no recurring charges, no upsells, no premium tiers, and no locked content. What you see is what you get - the full course, all tools, all updates, forever. Secure payment processing supports Visa, Mastercard, and PayPal. Your transaction is encrypted and protected with enterprise-grade security. 100% Money-Back Guarantee - Zero Risk
We stand behind the transformative impact of this course. If, within 30 days, you complete the core modules and find the content isn’t delivering actionable value, simply request a refund. No questions, no forms, no hassle. Your satisfaction is guaranteed - or you get every dollar back. Confirmation and Access Process
After enrollment, you’ll receive an automated confirmation email. Once your registration is processed, you’ll receive a separate email with detailed access instructions for the course platform. This ensures a smooth onboarding experience with full system readiness. Will This Work for Me?
Absolutely - no matter your industry, seniority level, or technical background. The system is built for scalability and adapts to solopreneurs, startup founders, growth managers, marketing directors, and enterprise innovation leads. This works even if you’ve never coded, have no budget for AI engineers, are new to automation tools, or have tried - and failed - to scale growth with fragmented tactics before. With clear implementation pathways, role-specific templates, and real-world campaign blueprints, you’ll bypass the learning curve and deploy high-ROI strategies immediately. You gain confidence through structured progress, measurable milestones, and expert validation - not hype. This is risk-reversed education at its highest standard.
Module 1: Foundations of AI-Driven Growth - Understanding the shift from traditional to AI-powered acquisition
- Core principles of algorithmic customer targeting
- Defining your AI growth KPIs and success metrics
- Mapping your customer journey for automation opportunities
- Identifying high-leverage moments in the funnel
- Assessing internal readiness for AI adoption
- Building a cross-functional AI growth team
- Selecting your starting vertical: B2B, B2C, or hybrid
- Setting up a test-and-learn environment
- Creating your AI experimentation playbook
Module 2: Strategic Frameworks for AI Growth - The AI Growth Loop: Identify, Automate, Optimise, Scale
- Applying the AARRR framework to AI systems
- Customer Lifetime Value prediction models
- Churn prevention through behavioural AI signals
- Segmentation using clustering algorithms
- Lookalike modeling for customer acquisition
- Lead scoring with weighted behavioural inputs
- AI-powered pricing and offer personalisation
- Attribution modeling using multi-touch algorithms
- Building feedback loops into acquisition systems
Module 3: AI Tools and Platforms Ecosystem - Overview of no-code AI tools for marketers and growth leads
- Comparing AI CRM integrations: HubSpot, Salesforce, Zoho
- Selecting the right AI email orchestrator
- Choosing conversational AI for sales automation
- Top AI-powered analytics platforms
- Integrating AI tools via Zapier and Make.com
- API basics for non-developers
- Security and compliance in AI tool usage
- Vendor risk assessment checklist
- Cost-benefit analysis of tool selection
Module 4: AI in Acquisition – Automated Prospecting - Finding high-intent leads using AI data scrapers
- Enhancing lead databases with AI enrichment tools
- Building custom ICPs using AI pattern recognition
- Generating hyper-targeted prospect lists
- AI sourcing for niche verticals and geographies
- Eliminating duplicate or low-fit prospects automatically
- Validating contact accuracy with real-time AI checks
- Scoring leads based on intent signals
- AI detection of job changes and company triggers
- Automating the handoff from lead gen to sales
Module 5: AI-Powered Messaging & Personalisation - Dynamic message generation based on firmographics
- Writing variations using AI copy engines
- Subject line and preview text optimisation
- Personalised storytelling using public data
- Matching tone to persona stages
- AI-generated recipient background summaries
- Context-aware follow-up sequencing
- Automated re-engagement of cold leads
- Multilingual outreach scaling with AI translation
- Building message libraries for A/B testing
Module 6: AI Automation in Outreach & Engagement - Designing multi-channel outreach sequences
- Orchestrating email, LinkedIn, and SMS with AI
- Timing optimisation using engagement prediction
- Auto-pausing campaigns for holidays and events
- Handling opt-outs and compliance automatically
- Integrating calendar booking links with AI
- Finding optimal sending hours through AI analysis
- Automated sequence branching based on responses
- Detecting engagement signals for hot lead routing
- Reducing friction in touchpoint delivery
Module 7: Conversational AI for Sales Conversion - Deploying AI chatbots for lead qualification
- Programming qualifying questions with logic trees
- Escalating qualified chats to live reps
- Training AI on product knowledge bases
- Handling common objections with response banks
- Measuring bot conversion rates
- Improving conversation flow with session review
- Reducing response time with instant replies
- AI-assisted live chat for higher volume
- Integrating chat data into CRM pipelines
Module 8: AI in Content Creation & Distribution - Generating high-converting blog topics with AI
- Producing SEO-optimised long-form content
- Adapting content across formats: email, post, script
- AI copy editing and tone refinement
- Automated social media posting schedules
- AI-generated video scripts for ads
- Repurposing content across platforms
- Dynamic landing page text personalisation
- Headline testing with AI prediction
- Distributing content via AI-powered newsletters
Module 9: Predictive Analytics & Decision Intelligence - Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Understanding the shift from traditional to AI-powered acquisition
- Core principles of algorithmic customer targeting
- Defining your AI growth KPIs and success metrics
- Mapping your customer journey for automation opportunities
- Identifying high-leverage moments in the funnel
- Assessing internal readiness for AI adoption
- Building a cross-functional AI growth team
- Selecting your starting vertical: B2B, B2C, or hybrid
- Setting up a test-and-learn environment
- Creating your AI experimentation playbook
Module 2: Strategic Frameworks for AI Growth - The AI Growth Loop: Identify, Automate, Optimise, Scale
- Applying the AARRR framework to AI systems
- Customer Lifetime Value prediction models
- Churn prevention through behavioural AI signals
- Segmentation using clustering algorithms
- Lookalike modeling for customer acquisition
- Lead scoring with weighted behavioural inputs
- AI-powered pricing and offer personalisation
- Attribution modeling using multi-touch algorithms
- Building feedback loops into acquisition systems
Module 3: AI Tools and Platforms Ecosystem - Overview of no-code AI tools for marketers and growth leads
- Comparing AI CRM integrations: HubSpot, Salesforce, Zoho
- Selecting the right AI email orchestrator
- Choosing conversational AI for sales automation
- Top AI-powered analytics platforms
- Integrating AI tools via Zapier and Make.com
- API basics for non-developers
- Security and compliance in AI tool usage
- Vendor risk assessment checklist
- Cost-benefit analysis of tool selection
Module 4: AI in Acquisition – Automated Prospecting - Finding high-intent leads using AI data scrapers
- Enhancing lead databases with AI enrichment tools
- Building custom ICPs using AI pattern recognition
- Generating hyper-targeted prospect lists
- AI sourcing for niche verticals and geographies
- Eliminating duplicate or low-fit prospects automatically
- Validating contact accuracy with real-time AI checks
- Scoring leads based on intent signals
- AI detection of job changes and company triggers
- Automating the handoff from lead gen to sales
Module 5: AI-Powered Messaging & Personalisation - Dynamic message generation based on firmographics
- Writing variations using AI copy engines
- Subject line and preview text optimisation
- Personalised storytelling using public data
- Matching tone to persona stages
- AI-generated recipient background summaries
- Context-aware follow-up sequencing
- Automated re-engagement of cold leads
- Multilingual outreach scaling with AI translation
- Building message libraries for A/B testing
Module 6: AI Automation in Outreach & Engagement - Designing multi-channel outreach sequences
- Orchestrating email, LinkedIn, and SMS with AI
- Timing optimisation using engagement prediction
- Auto-pausing campaigns for holidays and events
- Handling opt-outs and compliance automatically
- Integrating calendar booking links with AI
- Finding optimal sending hours through AI analysis
- Automated sequence branching based on responses
- Detecting engagement signals for hot lead routing
- Reducing friction in touchpoint delivery
Module 7: Conversational AI for Sales Conversion - Deploying AI chatbots for lead qualification
- Programming qualifying questions with logic trees
- Escalating qualified chats to live reps
- Training AI on product knowledge bases
- Handling common objections with response banks
- Measuring bot conversion rates
- Improving conversation flow with session review
- Reducing response time with instant replies
- AI-assisted live chat for higher volume
- Integrating chat data into CRM pipelines
Module 8: AI in Content Creation & Distribution - Generating high-converting blog topics with AI
- Producing SEO-optimised long-form content
- Adapting content across formats: email, post, script
- AI copy editing and tone refinement
- Automated social media posting schedules
- AI-generated video scripts for ads
- Repurposing content across platforms
- Dynamic landing page text personalisation
- Headline testing with AI prediction
- Distributing content via AI-powered newsletters
Module 9: Predictive Analytics & Decision Intelligence - Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Overview of no-code AI tools for marketers and growth leads
- Comparing AI CRM integrations: HubSpot, Salesforce, Zoho
- Selecting the right AI email orchestrator
- Choosing conversational AI for sales automation
- Top AI-powered analytics platforms
- Integrating AI tools via Zapier and Make.com
- API basics for non-developers
- Security and compliance in AI tool usage
- Vendor risk assessment checklist
- Cost-benefit analysis of tool selection
Module 4: AI in Acquisition – Automated Prospecting - Finding high-intent leads using AI data scrapers
- Enhancing lead databases with AI enrichment tools
- Building custom ICPs using AI pattern recognition
- Generating hyper-targeted prospect lists
- AI sourcing for niche verticals and geographies
- Eliminating duplicate or low-fit prospects automatically
- Validating contact accuracy with real-time AI checks
- Scoring leads based on intent signals
- AI detection of job changes and company triggers
- Automating the handoff from lead gen to sales
Module 5: AI-Powered Messaging & Personalisation - Dynamic message generation based on firmographics
- Writing variations using AI copy engines
- Subject line and preview text optimisation
- Personalised storytelling using public data
- Matching tone to persona stages
- AI-generated recipient background summaries
- Context-aware follow-up sequencing
- Automated re-engagement of cold leads
- Multilingual outreach scaling with AI translation
- Building message libraries for A/B testing
Module 6: AI Automation in Outreach & Engagement - Designing multi-channel outreach sequences
- Orchestrating email, LinkedIn, and SMS with AI
- Timing optimisation using engagement prediction
- Auto-pausing campaigns for holidays and events
- Handling opt-outs and compliance automatically
- Integrating calendar booking links with AI
- Finding optimal sending hours through AI analysis
- Automated sequence branching based on responses
- Detecting engagement signals for hot lead routing
- Reducing friction in touchpoint delivery
Module 7: Conversational AI for Sales Conversion - Deploying AI chatbots for lead qualification
- Programming qualifying questions with logic trees
- Escalating qualified chats to live reps
- Training AI on product knowledge bases
- Handling common objections with response banks
- Measuring bot conversion rates
- Improving conversation flow with session review
- Reducing response time with instant replies
- AI-assisted live chat for higher volume
- Integrating chat data into CRM pipelines
Module 8: AI in Content Creation & Distribution - Generating high-converting blog topics with AI
- Producing SEO-optimised long-form content
- Adapting content across formats: email, post, script
- AI copy editing and tone refinement
- Automated social media posting schedules
- AI-generated video scripts for ads
- Repurposing content across platforms
- Dynamic landing page text personalisation
- Headline testing with AI prediction
- Distributing content via AI-powered newsletters
Module 9: Predictive Analytics & Decision Intelligence - Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Dynamic message generation based on firmographics
- Writing variations using AI copy engines
- Subject line and preview text optimisation
- Personalised storytelling using public data
- Matching tone to persona stages
- AI-generated recipient background summaries
- Context-aware follow-up sequencing
- Automated re-engagement of cold leads
- Multilingual outreach scaling with AI translation
- Building message libraries for A/B testing
Module 6: AI Automation in Outreach & Engagement - Designing multi-channel outreach sequences
- Orchestrating email, LinkedIn, and SMS with AI
- Timing optimisation using engagement prediction
- Auto-pausing campaigns for holidays and events
- Handling opt-outs and compliance automatically
- Integrating calendar booking links with AI
- Finding optimal sending hours through AI analysis
- Automated sequence branching based on responses
- Detecting engagement signals for hot lead routing
- Reducing friction in touchpoint delivery
Module 7: Conversational AI for Sales Conversion - Deploying AI chatbots for lead qualification
- Programming qualifying questions with logic trees
- Escalating qualified chats to live reps
- Training AI on product knowledge bases
- Handling common objections with response banks
- Measuring bot conversion rates
- Improving conversation flow with session review
- Reducing response time with instant replies
- AI-assisted live chat for higher volume
- Integrating chat data into CRM pipelines
Module 8: AI in Content Creation & Distribution - Generating high-converting blog topics with AI
- Producing SEO-optimised long-form content
- Adapting content across formats: email, post, script
- AI copy editing and tone refinement
- Automated social media posting schedules
- AI-generated video scripts for ads
- Repurposing content across platforms
- Dynamic landing page text personalisation
- Headline testing with AI prediction
- Distributing content via AI-powered newsletters
Module 9: Predictive Analytics & Decision Intelligence - Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Deploying AI chatbots for lead qualification
- Programming qualifying questions with logic trees
- Escalating qualified chats to live reps
- Training AI on product knowledge bases
- Handling common objections with response banks
- Measuring bot conversion rates
- Improving conversation flow with session review
- Reducing response time with instant replies
- AI-assisted live chat for higher volume
- Integrating chat data into CRM pipelines
Module 8: AI in Content Creation & Distribution - Generating high-converting blog topics with AI
- Producing SEO-optimised long-form content
- Adapting content across formats: email, post, script
- AI copy editing and tone refinement
- Automated social media posting schedules
- AI-generated video scripts for ads
- Repurposing content across platforms
- Dynamic landing page text personalisation
- Headline testing with AI prediction
- Distributing content via AI-powered newsletters
Module 9: Predictive Analytics & Decision Intelligence - Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Setting up dashboards for real-time AI insights
- Running cohort analysis with automated segmentation
- Predicting conversion probability per lead
- Forecasting monthly growth based on AI models
- Identifying drop-off points using funnel AI
- Automating weekly performance summaries
- Correlating marketing inputs with revenue outputs
- Alerting on anomalies in acquisition data
- Automating report generation for stakeholders
- AI-generated strategic recommendations
Module 10: AI-Driven Experimentation & Optimisation - Automating A/B testing setup and deployment
- Defining test variables for maximum lift
- Letting AI declare winners based on significance
- Auto-adjusting campaigns based on results
- Continuous improvement loops
- Using reinforcement learning concepts for funnels
- Automating copy refresh cycles
- Dynamic call-to-action testing
- Image and design suggestion using AI
- Orchestration of multi-element test suites
Module 11: Customer Retention & Expansion Automation - AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- AI-powered onboarding sequences
- Predicting at-risk customers using usage data
- Automated check-in messages based on milestones
- Upsell recommendations using purchase history
- Automating referral programs with AI triggers
- Feedback collection via smart surveys
- Sentiment analysis of customer messages
- Routing negative feedback to retention teams
- AI-generated renewal reminders
- Automated win-back campaigns for churned users
Module 12: AI in Paid Acquisition & Ad Management - Using AI to generate high-performing ad copy
- Automated keyword research for Google Ads
- Dynamic ad group creation based on intent
- AI optimisation of bidding strategies
- Scheduling ads based on conversion probability
- Automated negative keyword filtering
- AI-driven budget allocation across channels
- Intent-based audience expansion
- Ad creative variation using AI image tools
- Performance reporting with anomaly detection
Module 13: Building Self-Optimising Funnels - Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Mapping funnel stages for AI control
- Automated lead routing based on fit scores
- Dynamic content delivery based on behaviour
- Auto-adjusting follow-up frequency
- Lead nurturing with AI-curated content
- Automated re-engagement of dormant leads
- Integrating product usage data into funnel logic
- AI-guided next-best-action suggestions
- Reducing drop-offs with predictive interventions
- Scaling funnel variants for different segments
Module 14: AI for Rapid Market Validation - Validating demand using AI-powered search analysis
- Analysing Reddit, forums, and Amazon reviews
- Generating landing pages with AI copy
- Automating traffic testing with small ad budgets
- Measuring sign-up intent through micro-conversions
- Collecting feedback with AI-parsed surveys
- Estimating CAC and LTV before launch
- Testing pricing with AI-generated variants
- Validating niche positionings at scale
- Building a minimum viable campaign in 72 hours
Module 15: Technical Implementation & Integration - Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Mapping integration requirements across tools
- Setting up webhook workflows
- Using no-code automation platforms effectively
- Ensuring data consistency across systems
- Validating API connections
- Handling errors with fallback logic
- Setting up data sync schedules
- Monitoring integration health
- Creating documentation for handover
- Testing end-to-end automation logic
Module 16: Compliance, Ethics, and Privacy in AI - Understanding GDPR, CCPA, and AI regulations
- Obtaining consent in automated campaigns
- Disclosing AI usage to prospects
- Data minimisation best practices
- Ensuring fairness in algorithmic targeting
- Monitoring for unintended bias
- Handling data deletion requests programmatically
- Reporting on compliance posture
- Creating an AI ethics checklist
- Training teams on responsible AI use
Module 17: AI Growth Strategy Implementation - Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals
Module 18: Certifications, Career Advancement & Next Steps - Preparing your final AI growth strategy document
- Submitting for final review and feedback
- Earn your Certificate of Completion from The Art of Service
- Adding the credential to your LinkedIn profile
- Using the certificate in job applications
- Becoming a certified AI growth practitioner
- Accessing exclusive alumni resources
- Joining The Art of Service professional network
- Advanced learning pathways in AI and automation
- Establishing yourself as a future-ready leader
- Building your 30-day AI rollout plan
- Prioritising high-ROI automation projects
- Securing buy-in from leadership
- Creating a board-ready growth proposal
- Piloting your first AI campaign
- Measuring and reporting early wins
- Scaling successful automations
- Creating a quarterly AI roadmap
- Establishing ownership and accountability
- Linking AI initiatives to revenue goals