SSM THOUGHTS BRIDGE

I have been writing about multiple topics for last few weeks. I have been exploring google analytics and got to do the basic courses from Google Analytics Academy by Google. It’s always fun to explore google analytics and play with the demo account if you are looking to learn. So I am going to write about some important and basic topics of Google Analytics. Google Analytics for Beginners This course is taught by Chris Mercer, Co-Founder of Measurement Marketing.io, definitely a highly skilled instructor. I am going to write and mention about the basic of Google Analytics. So here’s summary of what I learned from CXL. Important Concepts Google Analytics is a great tool for website analysis BUT, and this is a big but, it has a lot of concepts that could be misunderstood. Dimensions:  Are the element or things you can count on Google Analytics. I.e.: Users, Entrances, Exits, Conversions, etc. Users : you can think a User is a person or a client that visits your website but you´re wron...

I have graduated in Economics and learning about statistics was always fun for me while I was obtaining a bachelor’s degree from Notre Dame. Well, I have written multiple articles about A/B testing and today I am going to write about basic statistical concepts which I think every CRO and digital marketer should know in order to properly evaluate test results or even case studies of A/B testing. Some of these concepts which I explained in this article include: Populations, Parameters, Statistics, Mean, Variance, Confidence intervals, Statistical Significance, Statistical Power and Sample size. Populations, Parameters and Statistics A population can be considered all potential users or people in a group or things that we want to measure. The instructor at CXL, Ben Labay showed an example which is given about figuring out the difference in temperature between a couple coffee shops and the coffee that they serve. The question is, does one coffee shop serve hotter coffee than the other? To ...

Continuing to the third part of my review on A/B Testing mastery, here’s another part. This article is based on what I have learnt from CXL institute. I am going to cover the planning phase for A/B testing by mentioning the scientific method as well as the interesting 6V model of desk research on successful A/B testing. The A/B testing mastery course prompts viewers to start with the reason behind the tests and work from there. You cannot conduct a successful A/B test without a specific question in mind or problem to solve. This is where setting up a solid hypothesis comes in. A/B testing can be tricky especially if the proper planning, time, and effort are not invested. Starting with your “why” and work from there will definitely help according to Ton. Hypothesizing As mentioned in the intro, the first question to ask ourselves is “why are we running this experiment?” The purpose behind the hypothesis is to get everyone involved with the test on board and in alignment with one another...