Mastering Data Clean-up in Looker Studio
If you're a performance marketer or data analyst, you know the struggle well. You pull data from Google Ads, Meta Ads, and LinkedIn into Looker Studio, but the campaign names are a complete mess. Some say "Brand_Search_UK", while others say "brand-search-uk". Trying to create a clean pie chart with this raw data is impossible.
The solution is to create a Custom Calculated Field in Looker Studio using a CASE WHEN statement combined with REGEXP_CONTAINS. However, writing SQL-style syntax manually is extremely prone to syntax errors (like forgetting a closing quote or parenthesis) which breaks your entire dashboard. Our visual builder eliminates this frustration by generating flawless code strings instantly.
The Power of Regex
Our tool automatically injects the (?i) modifier into your formula. This tells Looker Studio to be Case-Insensitive. It will automatically group "Video", "VIDEO", and "video" together without you needing to write three separate rules.
Multiple Matches
You can separate words with a vertical pipe (|) symbol in the condition box. For example, typing retargeting|rmkt|remarketing will catch all three variations and neatly group them into a single "Remarketing" bucket.