Import Expense and Revenue Data into Google Analytics
Posted: Sat Dec 28, 2024 7:08 am
In order to evaluate the productivity of advertising channels, you need to have detailed information on the costs of each of them. You can get detailed data on the cost of target actions, for example, phone calls or chat contacts, using Google Analytics tools. To do this, you will need to set up a data stream from the advertising system (Yandex Direct, Google Ads, VKontakte) to Google Analytics through one of the BI platforms. After loading, you will be able to visualize data on the costs of each promotion channel in Google Analytics dashboards.
Also at this stage, you should get information about the profit from advertising channels. To do this, we will need to connect the CRM system to the process and combine sales data with the information we received from tracking. In the case of Google Analytics, you need to use the import function (Data Import) to load data - it allows you to load information from various sources and combine it with existing statistics for subsequent analysis.
Collect end-to-end analytics data in a single database
The next step in building end-to-end analytics will be the creation choose us for your marketing success of a single database that will store and process information from various sources (advertising sources, sources transmitting statistics). This database can be Google BigQuery, ClickHouse, various DBMS options (PostgreSQL, MySQL, and others), or S3. It will not be possible to fully perform the task of preliminary data processing in Google Analytics, since the service does not have such functionality.
Combine customer data from different sources
At this stage, using analytical tools (for example, those included in the Google BigQuery functionality), we mutually complement data about users and their interactions with our marketing channels and sales department. As a result, we can understand who and how interacted with us, segment potential and current clients, determine the ideal client profile, and see effective and ineffective channels of interaction with them.
Also at this stage, you should get information about the profit from advertising channels. To do this, we will need to connect the CRM system to the process and combine sales data with the information we received from tracking. In the case of Google Analytics, you need to use the import function (Data Import) to load data - it allows you to load information from various sources and combine it with existing statistics for subsequent analysis.
Collect end-to-end analytics data in a single database
The next step in building end-to-end analytics will be the creation choose us for your marketing success of a single database that will store and process information from various sources (advertising sources, sources transmitting statistics). This database can be Google BigQuery, ClickHouse, various DBMS options (PostgreSQL, MySQL, and others), or S3. It will not be possible to fully perform the task of preliminary data processing in Google Analytics, since the service does not have such functionality.
Combine customer data from different sources
At this stage, using analytical tools (for example, those included in the Google BigQuery functionality), we mutually complement data about users and their interactions with our marketing channels and sales department. As a result, we can understand who and how interacted with us, segment potential and current clients, determine the ideal client profile, and see effective and ineffective channels of interaction with them.