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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.
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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.
Growth: What I learned from building growth engines for Marketplaces — An interplay of engines (Part II)
Marketplace efficiency is all about understanding the ‘User Intent’. No wonder best growth teams spend a considerable amount of time to understand their users and their intent. The better we understand the intent, the better will be the product that can serve the users.
Data Science: Framing the business problems as machine-learning problems (Part I)
Solving the right problem is more important than solving a problem right away
