What we learned building machine learning models for early stage and late stage companies
This is what we have learned from shipping systems that had to work in the real world.
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Monetization: Price is right — Monetization strategy (Part II)
Monetization strategy should be an enabler of growth by maximizing the value captured and using that to create more value for existing users or to create value for new users.
Monetization: Price is right — Monetization strategy (Part III)
Pricing is an iterative process. Best way to get it right is to keep doing qualitative research, quantitative analysis, and roll out A/B testing to confirm your hypothesis.
A/B Testing : How to calculate sample size before launching your test
“How long are we planning to run the test? Do we have a significance yet?”. This is not an unusual situation. In fact all product managers run into this issue.
Metrics: Twyman’s law - Any figure that looks interesting or different is usually wrong
The more unusual or interesting the data, the more likely they are to have been the result of an error of one kind or another
Metrics: ‘Satisficing’ Metric — Not all metrics need to be optimized
Discover the ever so tricky science behind the biggest unsolved challenge of Marketing
A/B Testing: What to do when you do not have enough traffic on your site? (Part I)
A/B testing and decision making using statistical tools is as much a science as an art
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