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Newer Version Available
Usage Metrics
| Available in: Professional, Enterprise, Performance, Unlimited, and Developer Editions |
- The features most and least used — this can help you prioritize your development efforts when planning the next version of your app.
- The customers using your app most intensively — these are your most valuable customers.
- The customers whose usage of your app is minimal or declining — these are the customers most at risk of attrition.
- Custom objects — the total number of records existing per organization in each custom object. This enables you to track how the usage of that custom object is growing with time in any subscriber organization, which is a reliable indicator of how much it's being utilized
- Visualforce pages — the number of times per organization each Visualforce page was accessed, the number of unique users who accessed it, and the average loading time (in milliseconds). By comparing the metrics for different Visualforce pages, you can determine the relative popularity of different parts of your app in a specific customer organization, as well as trends across all customers.
The custom objects data is a snapshot that reflects the state of the organization at the time the database was sampled, while the Visualforce data covers usage over a 24-hour period.
The usage metrics data for all production organizations in a given instance is merged and written into a text file, in a specified format, once a day. Currently, no data is collected on packages installed in sandbox organizations or on managed beta packages.
This feature is intended for API access only. You must write a custom process to collect the metrics data from the reporting organization, and export it to a system of your choice for analysis. This gives you the maximum flexibility to monitor and analyze the usage trends most relevant for your app.
Your customers’ consent is not required for usage data to be collected, and there’s no way for them to opt out. This ensures you receive complete data for your entire customer base. Allowing some users to be excluded would skew the results, making the data less useful.