How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine

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, a blueprint for understanding the seismic shifts shaping our future economy, and Generation AI, which explores how Gen Alpha and artificial intelligence will transform business, culture, and society. In this episode, Matt demonstrates how he built a comprehensive AI workflow using Zapier that transforms customer call transcripts into a wealth of actionable intelligence. Despite not being a coder, Matt created a system that automatically generates call summaries, sentiment analysis, coaching feedback, follow-up emails, SEO-optimized blog posts, and more—all from a single customer conversation. *What you’ll learn:* 1. How to build a trigger-based workflow that automatically scrapes and processes customer call transcripts from platforms like Gong 2. A systematic approach to quantifying customer sentiment on a 1-10 scale that has proven highly predictive of churn and upsell opportunities 3. How to create an automated coaching system that provides personalized feedback to sales reps after every customer interaction 4. A workflow for extracting keywords from customer conversations to inform Google ad campaigns without manual intervention 5. Techniques for automatically generating privacy-compliant blog content from customer calls that drives organic traffic and paid search performance 6. Why CEOs and executives need to build AI skills firsthand rather than delegating implementation to engineering teams 7. How to use Google Sheets as structured databases for AI lookups and enrichment within automated workflows *Brought to you by:* Brex—The intelligent finance platform built for founders: https://brex.com/howiai Zapier—The most connected AI orchestration platform: https://try.zapier.com/howiai *Where to find Matt Britton:* LinkedIn: linkedin.com/in/mattbbritton Instagram: https://www.instagram.com/mattbrittonnyc/ Company: https://www.suzy.com/ *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo *In this episode, we cover:* (00:00) Introduction to Matt Britton (02:36) Why Zapier became the backbone of Matt’s AI automations (04:17) Identifying your core business problem (09:02) How Matt built the initial trigger automation with Browse AI (13:42) The value of CEOs getting hands-on with building (14:00) Scraping and processing call transcripts (20:14) Using LLMs to generate call summaries and sentiment scores (23:25) Creating a Slack channel for real-time call insights (26:17) Extracting keywords for Google Ads campaigns (28:35) Building an AI coach for sales and customer success teams (29:48) Creating a follow-up email writer for post-call communication (35:25) Generating redacted blog content from customer conversations (37:51) How this approach changes team building and hiring priorities (40:19) Matt’s prompting techniques and final thoughts *Tools referenced:* • Zapier: https://zapier.com/ • Gong: https://www.gong.io/ • Browse AI: https://www.browse.ai/ • ChatGPT: https://chat.openai.com/ *Other references:* • Qualtrics: https://www.qualtrics.com/ • SurveyMonkey: https://www.surveymonkey.com/ • Slack: https://slack.com/ • Google Sheets: https://www.google.com/sheets/about/ _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Matt BrittonguestClaire Vohost

Nov 9, 202542mWatch on YouTube ↗

WHAT IT’S REALLY ABOUT

CEO turns Gong call transcripts into automated GTM intelligence engine

Suzy CEO Matt Britton describes a “mega workflow” that starts with a newly completed Gong-recorded call and automatically scrapes the transcript, cleans it, enriches it with internal data, and runs multiple LLM analyses.
The workflow posts structured call summaries and sentiment scores to Slack, flags churn risk in an early-warning channel, and generates coaching feedback plus a human-in-the-loop follow-up email draft for the rep.
On the marketing side, the same call data produces Google Ads keyword suggestions, builds an aggregate customer-profile database for retrieval, and can generate fully redacted SEO blog posts published later to protect confidentiality.
A recurring theme is leadership being hands-on: Britton argues executives should learn to build with no-code/AI tools, focus first on the core business problem and data source, and hire “super ICs” who proactively orchestrate and improve automations.

IDEAS WORTH REMEMBERING

5 ideas

Start with one painful business problem, not a list of AI tools.

Britton’s trigger was sales/CS saying they “couldn’t find anything.” He recommends stepping back to identify what’s blocking growth, then building AI around that specific constraint.

Your best AI engine is often data you already have—especially customer conversations.

Suzy had ~25,000 hours of recorded calls. Britton treats transcripts as the highest-fidelity “people in the wild” dataset for product, sales messaging, churn risk, and marketing demand.

When native integrations don’t expose what you need, scraping and “hacks” can unlock the workflow.

Gong didn’t provide an easy transcript feed, so he used the call ID pattern + Browse.ai to scrape the transcript URL and push it into Zapier as the automation trigger.

Operational reliability matters: small steps like delays and HTML stripping prevent automation breakage.

He adds a 1–2 minute delay to ensure the scrape completes and uses formatting to remove HTML/noise before sending transcripts into LLM prompts.

LLM summaries become more valuable when they’re structured and scored.

The workflow produces a standardized call overview plus a 1–10 sentiment score; Suzy benchmarks sentiment trends against real churn/upsell outcomes to make it predictive, not just descriptive.

WORDS WORTH SAVING

5 quotes

I always knew we had Gong, but what I didn't know is that their transcripts were amazing, and that we actually had 25,000 hours of call transcripts… there's no better source of truth.

— Matt Britton

It wasn't connected. I had to kind of hack it together.

— Matt Britton

It is not sufficient to instruct your engineers to build AI… you'll go nowhere.

— Claire Vo

It’s not about the tool, it’s about the data… this is people in the wild saying what they want.

— Matt Britton

I need people who are gonna come up with new ideas and solutions and be proactive.

— Matt Britton

Using Gong calls as a “source of truth” datasetZapier as orchestration backbone for AI workflowsScraping transcripts with Browse.ai and call-ID hacksTranscript cleaning, delays, and reliability buffersLLM summarization, sentiment scoring, and benchmarking churnSlack as real-time GTM intelligence feed and directory lookupClosed-loop marketing: keyword extraction, SEO content, and adsAI coaching for reps and structured follow-up draftingStructured customer-profile database for aggregate insights (RAG-ready)Team design: GTM orchestrators, owners of outputs, super IC hiringPrompting approach: guardrails and “what not to do”

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