“McGaw.io AB Testing Tracking Tool”的产品徽标图片

McGaw.io AB Testing Tracking Tool

McGaw LLC
精选
5.0(

6 个评分

)
扩展程序工作流程与规划631 用户
McGaw.io AB Testing Tracking Tool的项目媒体 2(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 3(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 1(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 2(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 3(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 1(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 2(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 1(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 2(屏幕截图)
McGaw.io AB Testing Tracking Tool的项目媒体 3(屏幕截图)

概述

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

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.

5 星(5 星制)6 个评分

详细了解结果和评价。

详情

  • 版本
    3.0.0
  • 上次更新日期
    2022年8月1日
  • 大小
    1.04MiB
  • 语言
    English
  • 开发者
    McGaw LLC
    300 S Orange Ave Suite 1000 Orlando, FL 32801 US
    网站
    邮箱
    analytics@mcgaw.io
    电话
    +1 321-320-6871
  • 交易者
    此开发者已根据欧盟的定义将自己标识为交易者,并承诺仅提供符合欧盟法律要求的产品或服务。

隐私权

“McGaw.io AB Testing Tracking Tool”已就收集和使用用户数据披露了以下信息。 如需了解详情,请查看开发者的privacy policy

McGaw.io AB Testing Tracking Tool会处理以下数据:

个人身份信息

该开发者已声明,您的数据:

  • 不会因未获批准的用途出售给第三方
  • 不会为实现与产品核心功能无关的目的而使用或转移
  • 不会为确定信用度或放贷目的而使用或转移

支持

若有任何疑问、建议或问题,请访问开发者的支持网站

Google 应用