Zapier GTM Shared Brain: How Zapier built an AI focus group from real sales calls and account data
Thursday, August 13
1 PM ET
Sales, Marketing, and Customer Success each carry a different version of the customer.
Sales hears one version in calls. Marketing sees another in campaign performance. Customer Success learns what happens after the deal closes. Those signals live in different tools, decay at different speeds, and rarely make it back into the persona deck everyone is supposed to use.
AI should make your marketing better. Without shared context, it becomes a slop hose.
Your team can produce more content, campaigns, outbound, and enablement than ever. But when the context beneath that work is stale or fragmented, AI produces generic output faster.
Zapier's marketing team is building a different model by building five buyer personas from account patterns and de-identified sales calls (Databricks and Gong), then put them to work pressure-testing copy, campaigns, and outreach before it ships. These aren't imaginary AI characters or static profiles with a chatbot attached. They're evidence-backed representations shaped by sales conversations, campaign performance, customer behavior, and what the team learns next.
Join Lindsay Rothlisberger, Joe Stych, and Ryan Anderson for a candid look at how Zapier built these personas, keeps them current, and puts them to work across GTM.
This session is for senior Marketing, RevOps, Sales Ops, and GTM Innovation leaders who want AI grounded in a shared, current understanding of the customer.
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We'll go deep on:
– Why static personas break down: how customer truth gets lost across calls, campaigns, systems, and GTM handoffs.
– How Zapier builds synthetic focus groups: the signals that feed them, how AI turns evidence into usable context, and how the personas change as new information arrives.
– How a shared GTM brain works in practice: how employees use the same customer context for content, outbound, decks, campaign planning, and call preparation without visiting another forgotten destination.
– How the system keeps learning: how campaign performance, customer conversations, and human feedback return to the brain instead of disappearing after each task.
– What they're still figuring out: signal quality, conflicting evidence, ownership, privacy, governance, and where human judgment remains essential.
Can't attend live? Register today and we'll send you the recording and the frameworks shared during the session.
Can’t attend live?
Register today, and we'll send you a recording after the webinar ends.
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