What is needed for end-to-end analytics?
Posted: Sat Dec 28, 2024 6:21 am
You can build end-to-end analytics using the following algorithm:
Install counters on your resource (website or application).
Set up events and goals in the analytics service.
Integrate end-to-end analytics with advertising systems. Google Analytics provides native integration with Google services through linking accounts. For integration with other data sources, you will need to use third-party solutions.
Obtain information from the CRM system: data on transactions, requests and other information about the work of managers with clients.
Upload all received data and consolidate it in a common storage (Google BigQuery, ClickHouse, database).
Visualize data in one report that is as clear as possible.
As you can see, the integration of end-to-end analytics requires certain conditions. At a minimum, you need to have an effectively functioning CRM system. You also need specialists to set up the interaction of services and analyze the received data and, of course, competent marketers to interpret them.
How to set up end-to-end analytics
Implementing end-to-end analytics may be easier than you think. There the benefit of using our database are many ways to solve this problem, but they all lead to the same goal - to combine data from different sources. Let's consider one such method using Google services, call tracking, and popular data visualization tools.
A six-step flow chart for setting up end-to-end analytics might look like this:
Install and configure Google Tag Manager
You can integrate your resource with Google Analytics using Google Tag Manager . Google Tag Manager is a free tool that helps track user behavior. In essence, it is a container that can be placed on a site at one time, and then settings can be made in the tag manager interface without interacting with the program code of your resource. If you set up end-to-end analytics without using Google Tag Manager, you will need regular participation of programmers to make changes to the source code. Tag Manager eliminates this inconvenience: the help of programmers is required only at the stage of placing Google Tag Manager on the site, and further settings can be performed by marketers and analysts in the tag manager interface.
Install counters on your resource (website or application).
Set up events and goals in the analytics service.
Integrate end-to-end analytics with advertising systems. Google Analytics provides native integration with Google services through linking accounts. For integration with other data sources, you will need to use third-party solutions.
Obtain information from the CRM system: data on transactions, requests and other information about the work of managers with clients.
Upload all received data and consolidate it in a common storage (Google BigQuery, ClickHouse, database).
Visualize data in one report that is as clear as possible.
As you can see, the integration of end-to-end analytics requires certain conditions. At a minimum, you need to have an effectively functioning CRM system. You also need specialists to set up the interaction of services and analyze the received data and, of course, competent marketers to interpret them.
How to set up end-to-end analytics
Implementing end-to-end analytics may be easier than you think. There the benefit of using our database are many ways to solve this problem, but they all lead to the same goal - to combine data from different sources. Let's consider one such method using Google services, call tracking, and popular data visualization tools.
A six-step flow chart for setting up end-to-end analytics might look like this:
Install and configure Google Tag Manager
You can integrate your resource with Google Analytics using Google Tag Manager . Google Tag Manager is a free tool that helps track user behavior. In essence, it is a container that can be placed on a site at one time, and then settings can be made in the tag manager interface without interacting with the program code of your resource. If you set up end-to-end analytics without using Google Tag Manager, you will need regular participation of programmers to make changes to the source code. Tag Manager eliminates this inconvenience: the help of programmers is required only at the stage of placing Google Tag Manager on the site, and further settings can be performed by marketers and analysts in the tag manager interface.