Comparing the importance of the silo with the cost of its creation
Posted: Sat May 24, 2025 6:33 am
To decide whether a silo merits special treatment, it's canada phone number list essential to compare its importance with the effort involved in its implementation and the potential consequences for the overall measurement. It's not just a matter of whether the silo is "complex," but whether analyzing it provides valuable information that justifies the effort.
Factors to consider:
Impact on business objectives: How does the silo contribute to the company's objectives? Is it crucial to business success? If the silo has a direct impact on conversions, customer loyalty, or lead generation, analyzing it is a priority.
Implementation effort: How much time and resources are required to set up silo measurement? It's important to assess the complexity of the silo, the number of events and parameters required, and the availability of technical resources.
Potential impact on total events: How many additional events will be generated? How will this affect GA4's cost and performance? It's important to be aware of the impact on data volume and optimize your configuration to minimize it.
If the impact of the silo on business objectives is significant and the implementation effort is reasonable, silo measurement can be a very beneficial strategy.
How to measure each silo
Once we've decided to implement silo measurement, we need to define a strategy for collecting and analyzing data from each of them.
Collection of unique events
To ensure accurate measurement and avoid interference with the overall analysis, it's essential to create a collection of events for each silo. This will allow us to isolate its behavior and analyze it independently, as if it were a separate entity within the website or app.
Imagine we want to analyze user behavior in a product configurator. If we use the same events as for the rest of the website, such as "page_view" or "click," the configurator's information will be mixed with that of the rest of the website, making it difficult to analyze. By creating specific events for the configurator, such as "configurator_start," "configurator_select_option," or "configurator_complete," we can isolate its behavior and gain a clearer and simpler view of how users interact with it.
Factors to consider:
Impact on business objectives: How does the silo contribute to the company's objectives? Is it crucial to business success? If the silo has a direct impact on conversions, customer loyalty, or lead generation, analyzing it is a priority.
Implementation effort: How much time and resources are required to set up silo measurement? It's important to assess the complexity of the silo, the number of events and parameters required, and the availability of technical resources.
Potential impact on total events: How many additional events will be generated? How will this affect GA4's cost and performance? It's important to be aware of the impact on data volume and optimize your configuration to minimize it.
If the impact of the silo on business objectives is significant and the implementation effort is reasonable, silo measurement can be a very beneficial strategy.
How to measure each silo
Once we've decided to implement silo measurement, we need to define a strategy for collecting and analyzing data from each of them.
Collection of unique events
To ensure accurate measurement and avoid interference with the overall analysis, it's essential to create a collection of events for each silo. This will allow us to isolate its behavior and analyze it independently, as if it were a separate entity within the website or app.
Imagine we want to analyze user behavior in a product configurator. If we use the same events as for the rest of the website, such as "page_view" or "click," the configurator's information will be mixed with that of the rest of the website, making it difficult to analyze. By creating specific events for the configurator, such as "configurator_start," "configurator_select_option," or "configurator_complete," we can isolate its behavior and gain a clearer and simpler view of how users interact with it.