Skip to content

Instantly share code, notes, and snippets.

@amirbehzad
Last active January 16, 2017 06:21
Show Gist options
  • Save amirbehzad/5c912571a157e73755543920cffe88a1 to your computer and use it in GitHub Desktop.
Save amirbehzad/5c912571a157e73755543920cffe88a1 to your computer and use it in GitHub Desktop.
Limitations and Shortcomings of Google Analytics, Nov. 2016

Google Analytics (GA) has two tiers:

  • Standard (Freemium), free of charge
  • 360 Suite (Premium), flat annual fee $150,000

Both have limitations, which I'd categorize under Data Quality and Technology:

  • Data Quality

  • Data Sampling

    GA uses sampling in generating many of its reports. This sacrifies accuracy in favor of query performance.

  • Low Data Granularity

    GA stores aggregated data, rather than atomic data at transaction level. This prevents from identifying individual user actions for the purpose of targeting marketing efforts specifically to that individual.

  • No Raw Data

    In the standard tier, GA does not provide raw data, i.e. access logs. This limits the data scientists to perform custom analysis beyond what GA reports provide.

  • Data Privacy

    Google collects all your traffic data and detailed visitor information through GA. However, it does not provide you with all the details, due to PII regulations. For example, in GA, organic keyword referrals are not provided.

  • Technical

  • Client-Dependent

    GA relies on visitor's browser to transmit the collected data. If JavaScript or Cookies are disabled, and Web Beacon is not loaded, or an Ad Blocker is enabled, visitor data is lost.

  • Web performance

    GA slow downs the speed of page load, because of the extra code that client needs to download.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment