Category: Analyze the Data

Analyze the Data! - Chapter 2

The Online Research Framework I Use at Data36…

… is exactly the same that many well-known startup and e-commerce companies are using. However somehow this fundamental research framework hasn’t been published anywhere so far! (As far…

Analyze the Data! - Chapter 2

Five Second Testing

Every online data analyst and/or researcher should use – or at least be familiar with – qualitative methods. Even if you are heavily into analytics and even if…

data36_green

Request data articles! Give feedback!

I want to react better to your needs! So: if you’d like to request a data article, if you are interested in a specific data topic or if…

Analyze the Data! - Chapter 2

The 5 rules of A/B testing

If you are in an online business, most probably, you know what A/B testing is. (Sometimes it’s called split testing or bucket testing). And there is a big chance,…

Analyze the Data! - Chapter 2

Predictive Analytics 101 – Part 2

Last week I’ve promised to continue with the second Part of Predictive Analytics 101. If you haven’t read the Part 1, please do that here: Predictive Analytics 101…

Analyze the Data! - Chapter 2

Predictive Analytics 101 – Part 1

Predictive analytics is not a new or very complicated piece of science. As I mentioned before (Reporting, Optimizing, Predicting – 3 things that you can do with your…

Analyze the Data! - Chapter 2

Reporting, Optimizing, Predicting – 3 things that you can do with your data

So there you are: you have millions and billions line of raw data. Regardless of which tools are you using to analyze it (Google Analytics, Mixpanel, Python, SQL,…

Analyze the Data! - Chapter 2

Fake-Door Testing: an “evil” but efficient testing method

Have you ever heard of the so-called Fake-Door Testing? If not: Fake-door testing is a very easy method by which we can measure interest in a product (or a…

Analyze the Data! - Chapter 2

Funnel Analysis

What is funnel analysis? In a sentence: A powerful method of online data analysis which shows you the most important conversion steps of a user one by one. Something like this: How does…

Analyze the Data! - Chapter 2

Measuring Retention

Measuring retention? Why is it important? If you are running an online business, then these 2 goals are definitely on your list: To onboard as many new users as possible…

Analyze the Data! - Chapter 2

Significant or not? Measure the efficiency of your AB test!

One of the most frequently asked questions I receive regarding A/B testing is how many users are necessary for the testing? Naturally, like with 99% of the questions,…