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Good Databases Need Good Data - Julia Kim - RevOps Rockstars - Episode #16
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She’s led go-to-market operations for award winning consumer and SaaS products mentioned in the Wall Street Journal, Forbes, Forrester and TechCrunch. She’s the Global Technology Chair for Harvard Alumni Entrepreneurs, and a member of Google Women Techmakers. Julia Kim, VP of RevOps at Electric, is this week's guest on RevOps Rockstars. Hosts David Carnes and Jarin Chu sit down with Julia to learn more about her experience as a RevOps leader, and dive into how she runs her teams. In this episode we’ll cover some pitfalls of AI data tools, why you need to create brand awareness for your RevOps team, and the most effective way to communicate with the board.
Takeaways:
- While it’s tempting to solve issues with tech, there is no perfect tool. A tool could have all the features you could ever want, but you also need to ask “is this something people will use”? You need to balance the usability of a tool with the likelihood someone uses it.
- There is a lot of buzz around AI data tools. These tools often promise forecasting or predictive analytics, but frequently fall short at customization. To utilize data effectively, RevOps teams need more traditional data teams that give them customization.
- RevOps is almost managed like a startup. You need to manage your budgets, be on top of tech spend, and be able to clearly communicate the value of the tools you are using.
- When it comes to balancing in house and outsourced work, Julia will have external teams handle non critical projects. For larger scale projects, having that internal knowledge of the company is required to execute efficiently.
- When building out your tech stack, most teams have their typical CRM and marketing automation tools. One tool Julia feels is equally important is a lead routing tool, as it ensures leads get handled with a high priority.
- AI and predictive analytics are only as good as the data you give them. If your reps are putting varying, inaccurate data into your databases, you are going to get terrible predictions. Before implementing these tools, make sure you have good data accuracy.
- Interacting with the board requires you to paint a strong narrative around the revenue work you are doing. Instead of shying away from issues, focus on those areas in your presentation. Be confident about the situation, and highlight how you’re addressing it.
Quote of the Show:
- “There is no perfect tool.” - Julia Kim
Shoutouts:
- Winning By Design: https://winningbydesign.com/
Links:
- LinkedIn: https://www.linkedin.com/in/juliajuleskim/
- Twitter: https://twitter.com/juliajuleskim
- Company website: https://www.electric.ai/
- Linktree: https://linktr.ee/juliajuleskim
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