scripod.com
How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine | Matt Britton (Suzy)

Overview

Shownote

Highlights

Transcript

Chapters

Pins

How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine | Matt Britton (Suzy)

How I AI

2025/11/10
How I AI

How I AI

2025/11/10
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

Matt Britton is the founder and CEO of Suzy, a consumer insights platform that has raised over $100 million in venture capital and works with top brands like Coca-Cola, Google, Procter & Gamble, and Nike. Matt is also the bestselling author of YouthNation,...

Highlights

In this episode, Matt Britton, a seasoned entrepreneur and author, reveals how he leveraged accessible AI tools to create a powerful, automated system that turns everyday customer conversations into strategic business assets. His approach demonstrates the transformative potential of combining no-code platforms with large language models—without requiring a technical background.
04:17
25,000 hours of Gong call transcripts were used as a truth source to build an AI operating system
11:59
Use LLMs or alternative tools when data access is limited
13:42
A CEO's hands-on approach with no-code and AI tools provides valuable context for bold innovation.
20:14
The sentiment score predicts churn and upsell opportunities.
23:26
Churn early-warning system flags low-scoring calls but requires tuning to reduce false alarms
26:17
Keywords from call transcripts are automatically added to Google Ads campaigns
28:35
The AI coach highlights what sales reps did right and wrong immediately after each call
32:16
Data is the key asset; tools should serve the data, not the other way around
35:25
10,000 blog posts have been created without human intervention using this automation.
37:51
Future great businesses will be driven by proactive individual contributors who can find solutions rather than order-takers.
40:19
Matt shares his guardrail prompting method for controlling AI output.

Chapters

Introduction to Matt Britton
00:00
Why Zapier became the backbone of Matt’s AI automations
02:36
Identifying your core business problem
04:17
How Matt built the initial trigger automation with Browse AI
09:02
The value of CEOs getting hands-on with building
13:42
Scraping and processing call transcripts
14:00
Using LLMs to generate call summaries and sentiment scores
20:14
Creating a Slack channel for real-time call insights
23:25
Extracting keywords for Google Ads campaigns
26:17
Building an AI coach for sales and customer success teams
28:35
Creating a follow-up email writer for post-call communication
29:48
Generating redacted blog content from customer conversations
35:25
How this approach changes team building and hiring priorities
37:51
Matt’s prompting techniques and final thoughts
40:19

Transcript

Matt Britton: with my company, my sales team was consistently telling me that they just didn't know how to find anything. They didn't know how to find what customers were interested in. Claire Vo: You had a bunch of sales people, they said. I need more in...