Regular expressions 101

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    In this video tutorial, we walk through key building blocks of regular expressions using the incredibly powerful REGEXEXTRACT function in Google Sheets. To follow along, make a copy of this Sheet. Topics covered:

    • Matching characters and sets of characters
    • Using ORs to match multiple things
    • Using escapes to match special characters
    • Matching the beginning and end of strings (input text)
    • Extracting substrings with capture groups
    • Bonus: the handy Sheets IFERROR function

    A little bit of regex knowledge can go a long way. Regular expressions are supported in all major programming languages, and they are also available as a text/field matching option in many Google products including Analytics, Data Studio, and Tag Manager. For example:

    • Google Analytics
      • View filters
      • Goals – matching pages or event attributes
      • Content groupings
      • Customizing channel groupings
      • Matching dimensions in custom segments
    • Data Studio
      • Filters
      • Custom fields
    • Tag Manager
      • Triggers
      • Custom variables

    A few resources mentioned in the video:

    • Regexr – web-based regex testing tool
    • RegexOne – step-by-step regular expression tutorials
    • SEMrush – the source of the sample data in the Sheet, and a fabulous toolset for SEO

    And here’s a post I wrote a while back about searching-and-replacing in Sheets with regular expressions.

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    This article details the process of building two BigQuery tables for path analysis, with a focus on creating Looker Studio reports that visualize user journeys through page views and events. It accompanies a GitHub repository featuring code for automating these transformations using Google Dataform. I’m often frustrated by GA4’s limited ability to visualize user journeys

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