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Analytics Tools

Must have web analytics productivity tools and advanced statistical tools for web analysts, CRO, SEO/SEM, and digital agencies
Check Health Status

Check Health Status

Identify potential issues with your analytics setup.

Quick and thorough check-up of your Google Analytics setup to identify potential issues with it. The tool suggests remedies for many of the common issues.
Analytics Copy/Paste

Analytics Copy/Paste

Speed up Google Analytics setup & update tasks.

A big setup time-saver, with which you can quickly copy/paste view settings, filters and goals across profiles, properties, and accounts in Google Analytics.
Auto Spam Filters

Auto Spam Filters

Analytics referrer spam & ghost traffic solution. Set-and-forget!

Easy to use tool that sets up anti-spam protection filters in your Google Analytics account and keeps them always up-to-date. No more polluted data, no more referrer spam.
Easy View Filters

Easy View Filters

Easily apply commonly used filters to Google Analytics views.

Quickly & easily apply any of 13+ predefined best practice view filters to one or multiple views, across properties and accounts.
AGILE A/B Testing Calculator

AGILE A/B Testing Calculator

Maximize the efficiency & ROI of your AB testing efforts!

Use the revolutionary AGILE A/B testing calculator to perform experiments with great efficiency and improved certanty. Maximize ROI & leave the illusory results behind.
A/B Testing ROI Calculator

A/B Testing ROI Calculator

Plan your A/B tests for the best risk/reward possible.

No two A/B tests are alike. Plan your test duration, significance level, number of variants and other parameters to achieve the best possible risk/reward ratio from A/B testing.
Analytics Dashboard

Analytics Dashboard

All your client's most important metrics at a glance.

Check the vital metrics from all your client's Google Analytics properties at once. SEO, SMM & Paid Ads dashboards.
Statistical Calculators

Statistical Calculators

Stop chasing the statistical ghosts!

Use these calculators to validate your findings and make sure you are basing your decisions on significant data. Avoid common errors of "statistical intuition".
E-commerce Data Validator

E-commerce Data Validator

Validate the E-commerce data in your account.

Are your e-commerce statistics accurate? Or are you making your most important decisions based on inaccurate data? Check the quality of your e-commerce data quickly, easily and in-depth now.
Google Update Checker

Google Update Checker

Has your site been hit by Panda, Penguin or another update?

Find out in just a few seconds if your site has been hit (or has improved) by one of the many Google Algorithm updates. A unique tool for SEOs and webmasters.
Smart Data Explorer

Smart Data Explorer

Explore your Google Analytics data in a smart way.

Focus on what's really important and produce action-oriented data. Validate your findings statistically and explore correlations and causations in your data.
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Blog

Bayesian Probability and Nonsensical Bayesian Statistics in A/B Testing

Many adherents of Bayesian methods put forth claims of superiority of Bayesian statistics and inference over the established frequentist approach based mainly on the supposedly intuitive nature of the Bayesian approach. Rational thinking or even human reasoning in general is Bayesian by nature according to some of them. Others argue that proper decision-making is inherently ... Read More

The Perils of Using Google Analytics User Counts in A/B Testing

Many analysts, marketers, product managers, UX and CRO professionals nowadays rely on user counts provided by Google Analytics, Adobe Analytics, or similar tools, in order to perform various statistical analyses. Such analyses may involve the statistical hypothesis tests and estimations part of A/B testing, and may also include regressions and predictive models (LTV, churn, etc.). ... Read More

The Effect of Using Cardinality Estimates Like HyperLogLog in Statistical Analyses

This article will examine the effects of using the HyperLogLog++ (HLL++) cardinality estimation algorithm in applications where its output serves as input for statistical calculations. A prominent example of such a scenario can be found in online controlled experiments (online A/B tests) where key performance measures are often based on the number of unique users, ... Read More

Error Spending in Sequential Testing Explained

Sequential analysis of experimental data from A/B tests has been quite prominent in recent years due to the myriad of Bayesian solutions offered by big industry players. However, this type of sequential analysis is not sequential testing proper as these solutions have generally abandoned the idea of testing and therefore error control, substituting it for ... Read More

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