Simple example: you could filter your events in canada phone number list GA4 by "ends with" or "_open." This would tell you how many times sessions or users enter each silo, and you'd see the importance of each silo separately. Of course, for this to happen, all your silos would need to have the "_open" event defined.
Measure the impact of using different parts of the silo against the actual macro objectives of the web
To analyze how silo usage influences website objectives, we can use session- and user-level segments.
Example:
In a "shopping cart" silo ( cart_), we can create two segments: one that includes the event cart_openand one that doesn't. By comparing the behavior of both segments in relation to completed purchases, we can determine the impact of using the cart on conversions. If we observe that users who use the cart have a higher conversion rate, we can conclude that the cart facilitates the purchase process and that we should optimize its design and usability to maximize its effectiveness.
Generating audiences on the silo
GA4 allows you to create audiences based on siloed user behavior. This allows you to segment users and create personalized marketing campaigns.
Examples of audiences:
Users who use the silo ( search_open).
Users who are successful in the silo ( map_success).
Users failing in the silo ( login_fail).
We can use these audiences to create remarketing campaigns, send push notifications, or personalize website or app content. For example, we can create an email marketing campaign targeting users who have abandoned their shopping cart ( cart_abandon) to encourage them to complete their purchase.
The Path Exploration report in GA4 allows us to visualize the typical user journey within the silo. To do this, we can use the `_open` event as a starting point.
Example:
In a character creator silo ( builder_), we can analyze the paths users follow from accessing the creator ( builder_open) to saving their character ( builder_save). This allows us to identify common steps, dropout points, and areas that need improvement. For example, if we notice that many users abandon the process at the accessory selection step, we can investigate whether there are any usability issues or if the accessory selection is too complex.
Understanding your silo by its key dimensions
Silo dimensions, along with other GA4 dimensions such as channels, countries, or devices, allow us to segment the analysis and gain deeper insight into user behavior.
Example:
In a "product filter" silo ( filter_), we can analyze filter usage by product category ( filter_type), country, or device. This allows us to understand how users in different countries or devices use filters and tailor the interface to their needs. For example, if we notice that mobile users use filters less, we can simplify the interface or highlight the most important filters.
Conclusion
GA4's silo-based measurement strategy allows us to effectively approach microanalysis, focusing on key areas of our applications, tools, and processes. By creating tailored metrics for each silo, we can gain valuable insights into its performance, identify areas for improvement, and optimize its contribution to overall business success.
We invite you to try this strategy on your own website or app and explore the possibilities it offers. If you need help or would like to explore the best options for your business together, please don't hesitate to contact Ikaue.9
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