Digital analytics blog

Google BigQuery

BigQuery interface overview

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

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

BigQuery: totals by day, totals by date range

BigQuery: totals by day, totals by date range in one table.

June 22, 2019

Let’s say that you want to know the conversion amount in a specific date range for streaming in BigQuery: the total amount for each day and the total for all days as well. You could do this by making either two queries resulting in two tables, or one query resulting in one table. Continue reading

Custom Event GTM

BigQuery: how to update tables using views and Google Apps Scripts.

June 21, 2019

Let’s assume you have a big table with raw data, for example, from Google Analytics. You make a query for data processing and obtain a more informative table. The question is how to update it on a daily basis and append new data from the main table. Continue reading

Custom Event GTM

Full Referrer Dimension: Measuring Assisted Revenue.

June 03, 2019

Let’s imagine that someone has posted a few articles that lead to your website, and you are able to find the data about this traffic source under the /referral section (because the links posted are https, luckily). Continue reading

Custom Event GTM

Calculating Audience Intersection in Google BigQuery.

February 24, 2019

Let’s imagine that we need to analyze the number of users who have visited two particular webpages during the last year. We want to know how many of them have visited Page A, how many Page B and how many have visited both pages during the period. Continue reading

Custom Event GTM

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

Assisted conversions

Going Beyond the Limits of the Assisted Conversions Report with BigQuery Hit-level Data.

January 19, 2019

Assisted conversions can be a rather valuable metric in a number of cases when there is a need to determine whether a piece of content or an online marketing campaign has contributed to a long-term conversion path. However, an assisted conversions report has a number of limitations. Continue reading

Assisted conversions

Multi-Channel Funnels And Acquisition Reports: Difference in Conversion Data.

January 9, 2019

In our work we quite often use various Google Analytics reports to evaluate the channels and the campaign’s performance. While most of the standard reports are a perfect place to superficially check the metrics and get some basic information, multi-channel funnels reports are used when there is a need for a little more sophisticated analysis. Continue reading