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Want to understand your customers better? Learn how RFM analysis can help you segment your audience by value, uncover key
Unlike evaluating the accuracy of models that predict a continuous or discrete dependent variable like Linear Regression models, evaluating the
Optimizing messages and campaigns is a crucial activity for any app marketer. We've just added three new ways to optimize
It takes a lot of effort to design, build and launch an app, and even more to acquire users. Unless you're
One of the biggest decisions a CTO will make is whether he should build and track his or her own
Mobile engagement metrics are key indicators on how you’re keeping your users interested after installing our app.Previously on my Quora
We've seen how to create, track and drill down on Past Behavior and Live User Segments in CleverTap as well
In the real world, we often come across scenarios which requires to make decisions that result into finite outcomes, like
The first predictive model that an analyst encounters is Linear Regression. A linear regression line has an equation of the
Is the purpose of analytics or data science to draw some insights from data or some cool visualization or is it just a recommendation
Predictive modeling is a formula that transforms a list of input fields or variables into some output of interest. Feature
Human beings try to find patterns to explain the reason behind almost every phenomenon, but that doesn't mean that there
What does a data analytics model's life cycle look like? How often do they get deployed in a company? And
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