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Right-staff with FUNNELCAST.
ABOUT US
We are B2B sales and marketing optimization specialists. We have a unique combination of experiences in growing B2B sales organizations, establishing repeatable processes, and applying quantitative methods to solving business problems.
Most revenue tech focuses on reporting what happened or predicting what will happen. Funnelcast does this too. But Funnelcast also shows you how to change what will happen.
The key to this begins with a time-based model of your business's open pipeline and prospective new pipeline. Those models need to understand your win rates as a function of time, not just as a single number. This is something that is almost universally simplified in ways that make win rates unusable for forecasting or resource allocation.
FUNNELCAST helps you understand your current situation and shows you the most impactful ways to maximize sales. The application empowers you with data-driven decision-support for critical resource allocation decisions. It also makes excellent sales forecasts. Rather than just report on your situation or predict what you will sell, our goal is too give you specific advice about to beat your goal.
Come join us.
Bill Kantor
Founder
Bill has been on the founding or leadership team of three software companies that have delivered over $6B in liquidty to their investors. He has experience scaling sales from startup to over $200M in revenue. Bill's frustration with inappropriate goal setting, widely used but inaccurate metrics of funnel health, and the difficulty he experienced building long-range sales forecasts to support hiring decisions led him to develop the FUNNELCAST machine learning system that uses CRM data to forecast and inform resource allocation.
Bill is an avid cyclist and large format photographer.
Bryan Lewis
Mathematician
A mathematician active in open-source software communities, Bryan was the chief data scientist for Revolution Analytics and the SciDB project. He has worked with Intel, Microsoft, DARPA, and others on many applied data science projects in computational finance, health care, genomics, and more. His open-source software packages are widely-used with millions of downloads. Bryan is a co-author of the CRC Press textbook "A Computational Approach to Statistical Learning."
Bryan lives in Appalachia and is a whitewater kayaker, amateur mycologist and forager.