About Us
Understaffed? Overstaffed?
Right-staff with FUNNELCAST.
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.
Our Backstory
Bill is a sales professional with a mathematical background. He has been working on optimization of sales processes for most of his career. Bill and Bryan worked together on commercial applications of the open source SciDB database project. Separately, Bryan works on a few long-term projects with colleagues at Montefiore and Albert Einstein College of Medicine using survival analysis and other machine learning tools to model health care
outcomes.
One day while discussing one of Bill's forecasting problems, we realized how well statistical techniques from survival analysis could apply to sales funnel forecasting. For instance, consider the simple analogy of stages of a disease progression to the stages of an opportunity in a sales pipeline. Instead of the chance of, say a hospitalization (or worse), we're instead modeling the chance of making a sale (a good thing). Similar models are of course also widely applied in actuarial science and econometrics. But, despite the wide use of machine learning models in B2C sales and marketing, we found very little application of sophisticated modeling techniques in the B2B sales process.
Funnelcast is our attempt to formalize these models for the sales process, and to automate and simplify their use as much as we can.