Ultimate Startup Metrics Guide

TORONTO - Dec. 3, 2019 - PRLog -- Experienced entrepreneurs know that building successful products is not about damn luck or revolutionary ideas; it's more about data-driven decisions and careful analysis of the market. There are plenty of books and posts written on this topic, but it still takes days of research to create some sort of a mindmap and understand startup metrics and their common use cases.

Let's assume that you are building a social network, and your business model is ad-based. The longer the average session duration in your app, the better, right? It means that your ads will get more impressions from your app users.

But what if you are building not a social network, but a search engine? Is it a positive change when the average session duration grows? Or it means that your UX is getting worse, and users have to spend more time looking for the requested information?

And lastly, what does the average session duration mean for a SaaS application like GitHub or Slack?

The problem here is that startups try to create something unique by definition and cannot use the same metrics as a measure of their success/progress. Sometimes, a metric has opposite meanings for different business models.

To understand how to figure out what metrics may be useful to your business, read the "Ultimate Startup Metrics Guide" written by datarockets product development company: - https://datarockets.com/blog/ultimate-startup-metrics-guide/