How PriceLabs runs cold outbound with a self-learning agent

​A candid conversation with Sharon Biggar (VP Marketing, PriceLabs) and Nivas Ravichandran (Spendflo) on what it actually takes to ship a production outbound agent and how that evolves to other child agents for Webinars and Events

​Context: Three months ago, Sharon Biggar made a choice every marketing leader eventually faces.

​PriceLabs had 60,000 qualified prospects sitting in a database and no outbound marketer to work them. The hiring lead time was 3 months minimum.

​Instead of hiring, she built Sherlock, an AI agent that researches 12 signals per prospect, matches them to PriceLabs case studies, and writes a 5-email sequence.

​After 3 months: 44 new paying customers

​This isn't a "future of AI" panel. It's a working system, and Sharon will walk through what broke, what she'd do differently, and where the agent has now spawned other agents (event outreach, website de-anonymization).

​Format: Small group, conversational. We're keeping the room intentionally tight so you can ask the awkward questions, not just listen to slides

​For: VPs and Heads of Marketing, RevOps leaders, founders running GTM themselves.