AI native marketing | Online course: AI for audience research and social listening
Build your own AI-powered scraper to reveal what your buyers want.
Instructor: Lucy Woolfenden (with Ronan O’Duffy)
From The Scale Up Collective

Your buyers are already telling you what matters – in LinkedIn threads, Reddit posts, G2 reviews, and sales calls. This workshop shows you how to tap into that live feedback, use AI to surface insight at scale, and turn it into sharp messaging, content, and campaigns.
No big research budget. No long survey timelines. Just a faster, smarter way to stay close to what drives conversions.
- Learn how to identify jobs to be done, pain points, and audiences using real buyer language
- Use AI tools to transcribe and analyse interviews and online reviews
- Build and run your own Google Colab scraper to pull reviews from competitor listings
- Write smart Claude prompts to analyse buyer language, quantify pain points, and find unmet needs
- Set up a repeatable Claude project to structure insights and spot themes
- Avoid common AI prompting pitfalls. We’ll show you what works and what to skip.
- Leave with a working Claude > Colab workflow you can use straight away

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Your buyers are already telling you what they want. You just haven’t been listening at scale yet.
This course is a tactical deep dive into how to use AI to surface unfiltered buyer insights. Fast. You’ll learn how to scan social chatter, scrape reviews, and decode conversations at scale. No panels. No surveys. Just raw, real-time data.
It’s not theory. It’s workflows, tools, and prompts you’ll put to work the next day.
Part 01: Building marketing on evidence
Marketing is often built on assumptions, without supporting evidence. Customer conversations reveal the real “why” behind decisions, and why guessing shouldn’t be an option any more.
- Why traditional research leaves gaps
- Where your audience’s conversations are taking place
- How insights shift fast, and why timing matters
Part 02: How to build your own AI scraper
AI is changing how marketers approach audience research. Build a scraper that allows you to source and process large volumes of voice-of-customer data insights to base your marketing on.
- Find the online spaces where your audience discusses products
- Scrape conversations into clean datasets
- Use AI frameworks like Jobs-to-be-Done to analyze thousands of posts fast
- Verify results so you can trust your insights
- Turn findings into sharper messaging, campaigns, and product decisions
Part 03: Turning insights into action
Apply insights to campaigns, sales enablement, onboarding flows, and product improvements.
- Where audience insights drive the most impact in growth
- How to share findings with leadership and product teams
- Building a repeatable, lightweight research habit
THIS TRAINING IS PART OF THE AI NATIVE MARKETER SUBSCRIPTION:
Become the AI native marketer who ships the work of three.
Every two weeks, CXL helps you build one AI native workflow you can actually use at work. You only prep what matches your level, then build live with a top 1% operator.
AI ASSISTED
AI makes you faster at tasks you already did. The work itself has not changed.
You can tell because: you use AI for drafts and research, then hand off exactly as before.
AI INTEGRATED
You have rebuilt whole workflows around AI and ship work that used to need a specialist.
You can tell because: you no longer wait on a designer, a writer, or an analyst for your core work.
AI NATIVE
You build systems other people run and cover scope that used to take two or three people.
You can tell because: your team runs on workflows you designed.
There are 3 types of marketers. Which one are you?
Learning AI is a second job for most marketers. Join this program. 2hrs per week. CXL does the heavy lifting.
Here’s why marketers choose CXL
Need some more convincing?
Listen to this agency owner explain why he trains his team at CXL