How PriceLabs runs cold outbound with a self-learning agent
Join nRev’s April 21 masterclass to learn 7 no-code GTM workflows that generate pipeline instantly—covering outbound, LinkedIn growth, CRM opportunities, and real-time prospect signals.
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.
Event Recording
Speaker
Nivas Ravichandran
Sharon Biggar
Sayanta Ghosh
Need Help?
Please feel free to email in case you have more questions or face difficulties joining the session. We will try to keep you informed about more upcoming GTM events.
Thank you looking forward to it!
Command Revenue,
Not Spreadsheets.
Deploy AI agents that unify GTM data, automate every playbook, and surface next-best actions—so RevOps finally steers strategy instead of firefighting.