McGaw.io Ab Testing Tracking Tool

生产工具插件用户量: 654大小: 1.39MiB版本: v 2.1.1更新时间: 2022-02-24
用户量:654大小:1.39MiB版本:v 2.1.1更新时间:2022-02-24

This extension allows you to calculate the statistical significance & conversion rate of your A/B tests.

McGaw.io Ab Testing Tracking Tool 的使用方法详解,最全面的教程


McGaw.io Ab Testing Tracking Tool 描述:

用户数:654

分类:生产工具插件

扩展大小:1.39 MiB

最后更新时间:2022-02-24

版本:v 2.1.1


McGaw.io Ab Testing Tracking Tool 插件简介:

这是来自Chrome商店的 McGaw.io Ab Testing Tracking Tool 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。


McGaw.io Ab Testing Tracking Tool插件下载方法/流程:

点击下载按钮,关注“扩展迷Extfans”公众号并获取验证码,在网页弹窗中输入验证码,即可下载最新安装文件。


McGaw.io Ab Testing Tracking Tool插件安装教程/方法:

(1)将扩展迷上下载的安装包文件(.zip)解压为文件夹,其中类型为“crx”的文件就是接下来需要用到的安装文件

(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面

(3) 打开扩展程序页面的“开发者模式”

(4) 将crx文件拖拽到扩展程序页面,

完成安装如有其它安装问题,

请扫描网站底部二维码与客服联系如有疑问请参考:

https://www.extfans.com/installation/
Our Statistical Significance Calculator features: - Color coded bar to show Statistical Significance - Split test calculator - AB Test Calculator - Direct comparison of conversion results. - Ability to calculate significance of ab tests anywhere and with any tool You may be asking yourself, what is ab testing? Or even, why do I need to calculate it? Well, lets makes this easy for you. AB testing is one of the cornerstones to digital marketing, it is when you test two version of your site, email, ppc or other mediums against each other to see which one win. That said, when you run one of these comparative tests, you need to make sure you have a calculate statistical significance. See this great video to better understand ab testing: https://www.youtube.com/watch?v=QSk4czi3TCs How do we calculate statistical significance? We use a probability calculator based on statistics which will help us know if one test has enough volume and distribution to have a higher probability of being the correct outcome. If you do not measure the level of significance, you may launch a split test winner to production and find out that the results were not good.  Tools like Visual Website Optimizer, Optimizely and other ab testing tools have their own built in ab test calculators, but we do not trust/recommend these. You need to be measuring your AB tests in your analytics tools and calculating statistical significance of of that data. This will give you the best test of significance. Once we have run our statistical significance test we can verify if we have a real winner or not. With our tool you can calculate statistical significance right in your Chrome browser. You can use this for email ab testing, website ab testing, mobile app ab testing, ppc ab testing and just about any testing period. Calculating the significance of AB test results is always a hassle. Some analytics tools attempt to tell you when significance has been reached, and others simply pretend it doesn’t matter. Using the McGaw.io Statistical Significance and AB Test Calculator you’ll be able to quickly determine whether your test results are significant - all from a simple chrome extension. Stop opening new tabs and searching for statistical significance calculators that are hard to use and harder to understand. Have any questions or feedback? Let us know by emailing Dan@mcgaw.io.

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