Use BigQuery RegEx For Keyword Analysis

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My previous article illustrates how to clean data using BigQuery for google ad data. This article explains how RegEx can help clean, process and segment your keywords and build better keywords strategy.

RegEx is featured in various programming languages. It’s widely used in search engine, URL matching and lexical study.

RegEx comes in handy when matching partial or complete patterns of a key phrase. The regular expression pattern normally contains single or two or more characters. Using simple string combination can find the string without complicated string manipulation.

Also, RegEx allows user to define any queries pattern thanks to the simple meta-characters structure.

RegEx can be useful when processing your search term queries when building your keyword list for SEO or SEM. Simply imagine, there’s thousands of keywords with various format from your search console report or google ad report every month. Formatting, cleaning and clustering keywords with similar features can boost your SEM and SEO strategy.

Mastering your RegEx skill can help you craft sophisticated solution on complex or conversational queries.

Understand Symbols

Regular Expression uses symbols to process certain pattern.