Analytics Toolkit was conceived in 2012 as a set of tools that automate essential Google Analytics-related tasks and augment the GA functionalities in various ways. This goal was achieved in the years since with the release of over a dozen tools utilizing the Google Analytics API. These were accompanied by dozens of in-depth technical articles […] Read more…
The first major overhaul of Analytics Toolkit since its release in early 2014 has finally arrived and it brings with it solutions to many of the hard questions facing practitioners when planning and analyzing A/B tests. Conducting statistically rigorous tests while achieving the best return on investment go hand in hand in the new Toolkit. […] Read more…
This short post presents several changes, updates, and new tool functionalities released in the past couple of months – some very recent, some less so. The updates concern all statistical calculators for design and analysis of A/B tests at Analytics-Toolkit.com and consist of the following: New tool: Statistical Calculator for Meta Analysis Quality of life […] Read more…
I’m happy to announce the release of two long-awaited features for our A/B Testing Calculator: Support for non-binomial metrics like average revenue per user A new custom API for sending experiment data to the calculator Below is an explanation of each of these new features in some detail. Support for Non-Binomial Data While our more […] Read more…
The problem most-often faced by owners of websites who want to take a scientific approach to improving them by using A/B testing is that they might have relatively small revenue. Thus, when the ROI calculation for the A/B test is done it might turn out that it is economically unfeasible to test. In some cases, […] Read more…
We’re happy to announce yet another addition to our Google Analytics Toolkit: Google Analytics Dashboard. This new tool is aimed at digital agencies and let’s you view all your client’s most important metrics at a glance, all in one place. It basically eliminates the need to navigate to each client’s Google Analytics account and property to […] Read more…
Today we announce a new addition to our Google Analytics Toolkit: the Easy View Filters tool. Inspired and requested by some of our existing users, this new tool will help you when: Onboarding a new client. Usually you’d need to apply commonly used and best practice filters to several views in his account. Since in Google […] Read more…
We’ve pushed several small updates to our Google Analytics Audit tool in the past several days. The number of different types of checks performed by the “Check Health Status” tool has now reached 31 (from 22 a year and a half ago)! The two most recent changes include checking for individual pages with unrealistically low bounce […] Read more…
I am very happy to announce today the launch of a new tool in Analytics-Toolkit.com called Auto Spam Filters. What is does is it takes care of pretty much all Google Analytics referrer spam & ghost traffic issues you might be having. All on it’s own in a fully-automated fashion and using a spam database […] Read more…
I am happy to announce the official launch of Analytics-Toolkit.com – the toolkit that makes analytics easier. I’m excited to present the results of over 2 years of development because I believe many web analytics specialists, SEO/SEM specialists, and internet marketers will find the tools in the toolkit valuable in their daily work. Most of […] Read more…
After over 2 years of development, Analytics-Toolkit.com is almost ready for prime time. I’m really excited about what’s to come both in terms of Analytics Toolkit improving the way people use the Google Analytics platform and in terms of the blog posts that I’ll do here. Well, I have to get back to working on […] Read more…
Take your A/B testing program to the next level
Want to take your A/B tests to the next level?
If you enjoyed this article and want to read more great content like it make sure to check out the book “Statistical Methods in Online A/B Testing” by the author, Georgi Georgiev, and take your experimentation program to the next level.