Google Search Console only provides a few metrics: impressions, clicks, CTR, and average position. The first three are easy to understand, but the average position can trip up even the savviest analyst if they’re not careful. That’s why I started this series on SQL Patterns for SEO with a (perhaps overly) thorough explanation of how […]
SEO SQL Pattern #1: Aggregating Position Metrics and CTR Curves Read More »
A few days ago, Cyrus Shepard posted an example about using Levenshtein distance to compute the similarity or dissimilarity (aka the edit distance) between two strings. His example showed how to apply Levenshtein distance in Google Sheets in the context of written content, but it inspired me to demonstrate another common application: query similarity. Since
Longtail Query Analysis in BigQuery using Levenshtein Distance Read More »
Discover the differences between the searchdata_url_impression and searchdata_site_impression tables, and learn how they can help you analyze your site’s performance at different levels of granularity.
A Primer on Google Search Console Tables in BigQuery Read More »
In today’s all-or-nothing startup environment, young businesses need to be near-perfect in every aspect to succeed. As startups grow, analytics is the key to success. And yes, data-driven insights can be a game-changer. However, a widespread challenge persists: most startups struggle to integrate analytics seamlessly into their day-to-day business operations. As a founder, you have
Fostering Collaborative Analytics: A Founder’s Guide Read More »
When you think of “programming languages for data,” Javascript probably doesn’t even make the list. Yet, if you’re using Dataform, it’s almost impossible to avoid. As you’ll learn in this article, Dataform is Javascript all the way down. Even SQLX files that you write are pretty much just Javascript files under the covers. So shed
You may have heard about Dataform or even be curious about using it. If so, you’re in the right place. My goal in this post is to introduce the tool and the interesting story and technology behind it. We’ll start with a brief history, then zoom through the context in which it arose, and finally
How does Dataform work? A primer on the ref function Read More »
You may have heard the hype about integrating Google Search Console and Google BigQuery using the new Bulk Export feature. If you’re like me, you recognize the power of analyzing SEO data with SQL or the BI tool of your choice (you’ve probably heard of Looker and Looker Studio). Or you might be thinking to
Google Search Console to BigQuery: The Complete Guide to GSC Bulk Export Read More »
I’ve had a few SEO consulting projects lately that have given me a chance to work with many more keywords than anybody should be working within a spreadsheet. When I come across these types of projects, I use the same workflow: bring all the data into a database and run the analyses in SQL. I
SQL for SEO: A step-by-step keyword analytics tutorial Read More »
Like many data geeks, Google Analytics first sparked my curiosity. Last week, Census released our Google Analytics integration. I could write a long list of game-changing applications for creating custom dimensions in Google Analytics from data in a Snowflake data warehouse, but I’ve been swirling around one that I find particularly interesting. Here’s what I’m thinking. Census, as
Writing Custom Dimension to Google Analytics from Snowflake DB Read More »
In the first post in the Minimum Viable Data Stack series, we set up a process to start using SQL to analyze CSV data. We set up a Postgres database instance on a Mac personal computer, uploaded a CSV file, and wrote a query to analyze the data in the CSV file. That’s a good
Setting up Airbyte ETL: Minimum Viable Data Stack Part II Read More »
