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EPISODE · Jul 18, 2025 · 24 MIN

Thinking AI? Think Data First.

from RevOpsAF The Podcast · host Matt Volm

In this episode of the RevOpsAF podcast, co-host Camela sits down with Sonia Chawla, SVP of Revenue Strategy and Operations at Climate Impact Partners and a seasoned RevOps executive and systems thinker, to discuss why jumping into AI without a strong data foundation is a recipe for failure. RevOps leaders will walk away with a clear framework for how to evaluate, structure, and prepare their data systems before layering on AI tools. With over 15 years of experience scaling revenue operations at companies from $4M to $2B, Sonia brings pragmatic, no-BS advice on building clean systems that actually drive growth. 📊 What you'll learn: → Why “garbage in, garbage out” is especially true for AI in RevOps → How to define and enrich your ICP without expensive tools → The right order of operations for data, process, and AI → Ways to use call recording and CRM hygiene to improve sales execution → How to get stakeholder buy-in for “unsexy” but critical data work Perfect for: RevOps professionals, Sales Ops teams, early-stage GTM leaders, and anyone considering AI in their GTM tech stack. 🔗 Related blog posts: Beyond KPIs: The Art of Storytelling With Data = https://www.revopscoop.com/post/beyond-kpis-the-art-of-storytelling-with-data How to Structure Parent‑Child Account Relationships in Your CRM = https://www.revopscoop.com/post/parent-child-account-hierarchy-crm GenAI + Marketing Analytics: What RevOps Needs to Know = https://www.revopscoop.com/post/genai-marketing-analytics 🤝 Connect with Sonia on LinkedIn = https://www.linkedin.com/in/soniachawla/ ❤️ Not a member of the community? Join here: https://www.revopscoop.com/membership/membership-options 👍 Like this episode? Subscribe for more insights from the world’s best RevOps leaders. #RevOpsAF #RevenueOperations #B2BMarketing #SalesOps #GTMstrategy #DataDriven #AIinSales #CRMStrategy #RevOpsCommunity #RevOpsCoop

Episode metadata supplied by the publisher feed · Published Jul 18, 2025

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Thinking AI? Think Data First.

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