The best and brightest in marketing operations use MadKudu to work faster and more effectively. MadKudu saves you time, enables flexibility regardless of your go-to-market motion, and provides data-backed insights.
MadKudu’s automatic understanding of the best leads and their ACV has enabled us to prioritize a huge inbound lead volume for our sales team and close business much more efficiently.
Stop waiting weeks for engineering to make changes to your scoring model. With the MadKudu Data Science Studio, you can easily create model overrides, build computations and aggregations, evaluate model performance by segment, and much more.
Provide context behind your lead and account scoring by surfacing relevant details like what technologies a company is using, what roles they are hiring for, key behaviors in the product — that quickly tell sales why a lead or account is qualified.
With MadKudu, you can create multiple scoring models to support different go-to-market motions, geographies, and more. Create as many models as you need to keep up with sales feedback and your rapidly changing business.
To understand engagement and identify true PQLs, you need to identify the statistical correlation between events and actual conversions at the lead and account levels. MadKudu processes your product data from sources like Segment or Amplitude and your data warehouse (Snowflake, Redshift, etc.) to find critical milestones in the journey that warrant action.
We talked with operations leaders in the B2B space like Sara McNarama, Darrell Alfonso, Jeff Ignacio, and many more to bring you this guide on navigating the world of marketing operations.
Hear critical learnings, unique opinions, and fearless confessions from the top marketing ops leaders in B2B tech.
Thinking about building your lead scoring model in house? Read this blog to learn the 10 things you need to consider.