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

Trusted by marketers at


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 PROGRAM:
Become the marketer who can ship the work of three.
You do not need more AI tips. You need shipped AI-native workflows in just 2 hours/week.
After one session you will have shipped one new AI workflow you need on the job.
Every session after, your output and efficiency compounds.
Ship working AI workflows you need on the job:
2hrs /week
1. Find your current AI level
2. Ship AI ready worklfows
3. CXL does the heavy lifting, you join the program.
Close the gap between the AI skills you have and the ones your job now requires.
Which level are you?
You might be…
AI ASSISTED
You use AI for tasks like drafts and research. Your workflows and who you hand work to haven’t changed.
Or…
AI INTEGRATED
You’ve rebuilt workflows from scratch and ship work that used to need a specialist. You’re beyond a collection of prompts.
your target iS…
AI NATIVE
You design systems others run and cover scope that used to take two or three people.
After one session you will have shipped one new workflow you need on your job. Every session after, your output and efficiency compounds.
Here’s why marketers choose CXL
Need some more convincing?
Listen to this agency owner explain why he trains his team at CXL