Understand user counts by date for growth and engagement insights.
The User Count table is designed to capture user growth and changes over time. Every time a new user is added to the system, an entry is made in this table. Conversely, when a user is removed from the system, the corresponding entry is also removed from this table. This ensures a clear and accurate record of the active user base, making it invaluable for businesses to track their user base's expansion and understand engagement patterns across different properties. The table columns include unique identifiers, update dates, environment details, property details, and user counts. Dive into the sample data below to understand the table's structure.
Table Overview
Name: user_count
| Column Name | Data Type | Description |
|---|---|---|
| id | Integer | Unique identifier for each record in the table. |
| updated_at | Date | Date indicating the last update to the record. |
| environment_id | Integer | Unique ID associated with a specific environment. |
| environment_name | String | Descriptive name of the environment, e.g., Production. Note: Only data from the production environment is shared in this table. |
| property_id | Integer | Unique ID representing a specific property. |
| property_name | String | Descriptive name associated with the property ID. |
| date_yyyymmdd | Date | Date presented in a standard format (year/month/day). |
| date_year | Integer | Extracted year from the date. |
| date_month | Integer | Extracted month from the date. |
| date_week | Integer | Week number derived from the date. |
| user_count | Integer | Represents the current number of users as of the specified date. |
| user_count_accumulated | Integer | Represents the total number of users accumulated up to and including the specified date, providing a cumulative view of user growth. |
Main Sample Data
| id | environment_id | environment_name | property_id | property_name | user_count | user_count_accumulated |
|---|---|---|---|---|---|---|
| 7b02j... | xztklm1b3c | Production | 3v097m1br | Nebula Digital Horizon | 1 | 2 |
| 8c13k... | xztklm1b3c | Production | 3v097m1br | Nebula Digital Horizon | 1 | 3 |
| 0e35m... | xztklm1b3c | Production | 3v097m1br | Nebula Digital Horizon | 627 | 632 |
| ... | ... | ... | ... | ... | ... | ... |
| 3h68p... | xztklm1b3c | Production | 4w108n2cs | Pulsar Digital Beacon | 1 | 271 |
| 4i79q... | xztklm1b3c | Production | 4w108n2cs | Pulsar Digital Beacon | 1 | 272 |
| 5j80r... | xztklm1b3c | Production | 4w108n2cs | Pulsar Digital Beacon | 2 | 274 |
Note: Only a snippet of the table is shown for brevity.
Additional Date Information
For those interested in the date-related data, here's an example of how the omitted columns would appear:
| updated_at | date_yyyymmdd | date_year | date_month | date_week |
|---|---|---|---|---|
| 2023-08-18 | 2023-07-31 | 2023 | 7 | 31 |
Use Cases
Growth Analysis
Businesses can utilize the User Count to analyze their user growth over specific periods by using the table. They can identify trends, peak growth periods, and potential lulls by comparing monthly or yearly data.
Historical Analysis
Analyze historical user count data to identify growth trends and forecast future user counts.
Forecasting
Based on historical data, forecast future user growth and strategize business operations accordingly.
Engagement Metrics
Businesses can determine if increasing users leads to higher engagement or if issues are retaining new users by correlating the user count with other metrics.
Marketing Campaign Effectiveness
Post-marketing campaigns, the User Count table can be used to measure the campaign's effectiveness in attracting new users.
Frequently Asked Questions (FAQs)
Q: How frequently is the table updated?
A: The table is updated daily with the latest user counts.
Q: Can I correlate data from the user_count table with other tables?
A: Yes, the User Count table can be used in conjunction with other tables like User Activities Totals to gain deeper insights.
Related Tables
For a more comprehensive understanding, explore related insights in:
- User Activities Totals - Delve deeper into users' daily activities, tracking their logins, registrations, activations, and password resets.
- API Usage - Gain a perspective on how frequently various APIs are being used.
Do you still have questions?
Our support team is here to assist. Reach out for any inquiries or further guidance you may need about the User Count table.