SaaStr 847: How MangoMint Increased Win Rates with an AI-Powered Stack

What happens when you go all-in on AI tools in a completely remote organization at scale?

That's where Marchelle Mooney, VP of Sales at MangoMint, found herself.

MangoMint is vertical SaaS for salons and spas with a ~$4K ACV and a five-day sales cycle. Not exactly the profile you'd expect to be running one of the most disciplined remote revenue organizations in SaaS. But Marchelle's team is closing in on a 7.2x ARR-to-OTE ratio, has increased win rates 7% in two quarters, and has given reps 16 hours back per month. All fully remote, all with lean headcount.

In this session, Marchelle breaks down the exact three-layer AI Rigor Stack she built to get there: the Clarity Layer, the Cadence Layer, and the Co-Pilot Layer. She also walks through the full tool stack (Notion, Slack, Salesforce, Snowflake, Sigma, Momentum) and how data flows automatically to reps without them ever hunting for a dashboard.

The core insight: the problem was never the tools. It was fragmentation. And the path to fixing it runs through subtraction, not addition.

If you're running a remote or hybrid revenue org and feel like you're running fast but not getting anywhere, this one's for you.

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