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data science

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A couple weeks ago, I ended up taking Steli’s click bait and read his thoughts on sales automation and AI. There isn’t much novelty in the comments nor objections presented. However I felt compelled to write a answer. Part of the reason why, is that MadKudu is currently being incubated by Salesforce as part of the Einstein batch. Needless to say the word AI is uttered every day to a point of exhaustion. The mythical…

According to various sources (SiriusDecision, SpearMarketing) about 66% of B2B marketers leverage behavioral lead scoring. Nowadays we rarely encounter a marketing platform that doesn’t offer at least point based scoring capabilities out of the box. However, this report by Spear Marketing reveals that only 50% of those scores include an expiration scheme. A dire consequence is that once a lead has reached a certain engagement threshold, the score will not degrade. As put it in…

Our fearless leader and CEO Sam Levan recently spoke at Galvanize in San Francisco about data science careers. A common student question is, “is a job at a startup or a big company better for data scientists”? At MadKudu we’re in a good position to answer it – the 5 of us have more than 25 years experience in data science. We’ve built everything from the world’s largest fraud detection system to quick hacks in Google sheets. So…

Most SaaS companies have 3 misconceptions about churn: They don’t realize how much churn is costing them. They think they know why customers churn. They think predicting churn with data is too hard. If you’re not using predictive analytics to prevent churn this hack will help reduce your churn by about 20%. It takes about 2 days of work over a few weeks and you can do it in Microsoft Excel. We used similar techniques to…