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Metrics: ‘Satisficing’ Metric — Not all metrics need to be optimized
Discover the ever so tricky science behind the biggest unsolved challenge of Marketing
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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
A/B Testing: What to do when you do not have enough traffic on your site? (Part II)
There are a few others issues that product managers and analytics have to deal with, most important of them all is the opportunity cost of running an A/B test.
Monetization: Aligning mission with monetization
Why firms that are working on solving real user problems fail to look at monetization, revenue, and profitability to fund their growth. I also explore ways to bring the virtuous cycle of ‘purpose driven profitability’ through monetization strategy.
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Data Science: Path to deploying machine learning models for product leaders
A quick handbook to guide you through the steps needed to achieve the goal. The diagram above will help you reference each of the stages visually.
Growth: What I learned from building growth engines for Marketplaces — An interplay of engines (Part I)
Marketplace is a dynamic interaction of demand and supply. We will discuss how to develop an efficient demand growth engine, which is an interaction of multiple engines - acquisition engines, conversion, incentive, and pricing engines.
