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Roman Prokashev.

This is an archive of the Last Click City blog, which was published at lastclick.city from 2019 to 2024.

Category

Google BigQuery

From the Last Click City archive.

Simple Attribution Models via SQL in BigQuery.

May 31, 2020

You know, one of the main reasons why this blog is named like the old-fashioned attribution “Last Click” is that I and my co-host started our marketing careers when this attribution – like other classical ones such as “First Click” – was the only one we could use. Continue reading

Reverse Page Path in Google BigQuery.

May 7, 2020

BigQuery export for Google Analytics is one of the most powerful tools, which can show you up to three of the steps preceding goal completion. But, to my bewilderment, there isn’t an option to obtain a similar report which can show you the reverse top paths to a particular page. Such reports can undoubtedly be useful in many cases when a user’s journey to a specific page needs to be analyzed. Let’s try to build it using BigQuery. Continue reading

Google Analytics user-based events funnel in BigQuery.

April 24, 2020

There are a few ways to create an event funnel in Google Analytics. The first is the default events flow report but everyone who has tried this report will know that it’s only suitable for the superficial analysis of small resources. When you work with data of a significant size it’s impossible to avoid sampling and therefore, it is challenging to analyze certain events. Continue reading

How to work in Google BigQuery using SQL.

March 26, 2020

This might be your first guide to SQL and BigQuery. If so, that’s cool, but if it isn’t, we hope that our guide will provide clear explanations and help you understand things better. The goal of this guide is to help you become more familiar with SQL and BigQuery as quickly as possible so that you can make simple queries by the end of it. Continue reading

BigQuery: User-Defined Functions.

March 8, 2020

BigQuery has an option called User-Defined Functions, which helps users to maintain data as they want, row by row, using JavaScript. You will only want to use this if you cannot do something with data by standard BQ methods. Continue reading

BigQuery Interface Overview.

July 2, 2019

These instructions will help you to get started with the BigQuery interface. All you need to try it is a Google account: that’s it! BigQuery, in a nutshell, is cloud storage that may include data from many data sources, such as Google Analytics, Google Ads, Salesforce, etc. Continue reading

Pulling out the next page visited by new users in Google BigQuery.

June 28, 2019

Suppose that you have a particular landing page on your website, and you want to understand how it works for new users: how often they abandon the site after visiting this page or, for those who continue, which pages they visit afterwards. You could try to find these data in Google Analytics – it appears that the Navigation Summary report was invented for exactly this purpose and, to some extent, this is true. Continue reading

Top Conversion Paths in Google Analytics and BigQuery.

February 5, 2019

Understanding top conversion paths can be a crucial part of the customer journey analysis and an important step towards better understanding of how marketing channels cooperate. It is particularly useful to know the top paths to conversion when planning marketing and advertising budgets. Continue reading