AI Lead Generation: How to Generate Marketing Leads

Staring at a blank page used to be the bottleneck for marketers—now, AI can take the first draft off your plate. In this lecture, you’ll learn how artificial intelligence can accelerate content production, improve SEO strategy, and personalize your website experience—all key to turning passive visitors into qualified leads. This is where your inbound marketing engine gets a serious upgrade.

• See how generative AI tools help produce blogs, social posts, and lead magnets faster

• Learn how AI improves SEO through smarter keyword targeting and content planning

• Explore how AI-driven personalization boosts site engagement and lead conversion

• Discover real-world inbound marketing results from companies using AI

• Understand the importance of balancing AI automation with human editing and oversight

Most outbound campaigns fail not because the message is wrong—but because it reaches the wrong person, at the wrong time, in the wrong way. In this lecture, we’ll show you how AI changes that dynamic by helping you identify better prospects, craft highly personalized outreach, and time your messages for maximum impact.

• Learn how AI builds smarter prospect lists based on your ideal customer profile (ICP)

• See how generative AI enables hyper-personalized cold emails and ad copy at scale

• Understand how intent data and predictive signals improve targeting precision

• Explore send-time optimization and adaptive outreach channels to boost response rates

• Discover real-world tools and tactics to improve ROI from outbound campaigns

Today’s buyers don’t want to wait for follow-up—they want answers now. This lecture explores how AI chatbots are transforming lead generation by delivering instant, personalized conversations that guide visitors, qualify prospects, and connect hot leads to your team while they’re still engaged.

• Understand how AI chatbots qualify leads and capture intent in real time

• Learn how bots integrate with your CRM to automate follow-up and booking

• See real examples from Wrike and Pipedrive with massive jumps in conversions

• Discover best practices for tone, human handoff, and ongoing improvement

• Find out how chatbots can reduce friction and boost lead volume—24/7

Not every lead is worth your team’s time—but how do you know which ones to prioritize? In this lecture, we’ll look at how AI takes the guesswork out of qualification by analyzing real behavior, scoring leads dynamically, and helping teams act faster on the ones that actually convert.

• Understand how AI lead scoring works and how it differs from traditional rule-based models

• Learn how machine learning uses past outcomes to rank new leads in real time

• See how Microsoft improved its lead-to-opportunity rate 4X with predictive scoring

• Discover how smarter lead scoring improves marketing-sales alignment and handoff

• Learn how to design AI-powered workflows that move qualified leads to action faster

Trying out AI tools is one thing—building a lead generation strategy that actually delivers results is another. In this lecture, we’ll walk you through a practical framework for making AI an integrated part of your marketing engine, from setup to execution.

• Learn how to audit your current data, lead flow, and tech stack before implementing AI

• Set clear goals and KPIs that match your business needs and avoid wasted effort

• Discover how to choose the right tools—without falling into shiny object syndrome

• See how companies like Guild Mortgage improved lead response and conversion with proper AI integration

• Learn what it takes to train your team, redesign workflows, and iterate for continuous improvement

AI in lead generation can be a game-changer—or a cautionary tale. It all comes down to how you implement it. In this lecture, we’ll cover the practices that lead to success, and the mistakes that derail it.

• Learn what successful AI-powered lead generation really looks like (and where most teams go wrong)

• Discover the most common pitfalls—like poor data hygiene or lack of team alignment—and how to avoid them

• Explore ethical issues around privacy, personalization, and transparency in AI-driven marketing

• Understand why human oversight is still critical, and how to set guardrails that keep AI outputs on brand

• Get tips for building an AI strategy that evolves with your data, your team, and your market

Theory is great—but real-world examples are what truly bring it all to life. In this lecture, you’ll explore how Wrike, a leading B2B SaaS company, used an AI chatbot to dramatically scale its lead generation and qualification process.

• Discover the challenges Wrike faced with traditional forms and legacy chat tools—and what motivated the change

• Learn how the company implemented Drift’s AI chatbot and rolled it out in phases across regions and workflows

• Understand the impact of features like real-time qualification, Bionic Chat, and Fastlane on lead quality and conversion speed

• See the numbers: 496% pipeline growth, 454% more bookings, and 15× ROI

• Take away lessons you can apply to your own strategy—from pilot testing to integration and internal alignment

You’ve seen the tools. You’ve learned the tactics. Now it’s time to zoom out and connect the dots. In this final lecture, we’ll tie everything together and help you walk away with a clear, confident path forward.

• Recap the key strategies and frameworks covered across inbound, outbound, scoring, chatbots, and more

• Learn three core principles that will guide your AI adoption: clean data, human oversight, and strategic focus

• Discover how to roll out AI incrementally—starting small, measuring results, and scaling success

• Get recommendations for staying sharp in this fast-evolving space, including trusted blogs, communities, and certification options

• Leave with a realistic mindset for long-term growth using AI in marketing—grounded, curious, and results-driven