Lead scoring is getting a lot of hate recently. You know, the same hate MQLs get. But like MQLs, is it warranted or are people just doing it wrong or using it for the wrong purpose?

On this week's episode, Charlie sits back down with Crissy again to dive deep into a lead scoring project they have done for a client and repeatedly iterated on over the 10 months. In the episode, Crissy will give her tips on:

• What you need to do ahead of creating a lead scoring model to make it effective
• What analysis and modeling you can do before launching a model to ensure it's effective
• Why having a goal conversion rate of MQL to SQL to model to is effective in your modeling
• Why having the right data is so important
• And why it's not a "one and done" project

So sit back and learn how you can take CS2s same approach to your own organization to see success with a lead scoring model.