Page Active Users iCube helps you track the level of engagement of a unique user or set of unique users who accesses a page of a product for a given time as well as track the number of unique users for a various time period.
Page Active Users iCube enables you to create ad hoc reports and dashboards that help you track User Growth, User Behaviour, and User Engagement. Product Managers and UX Designers can gain insights into usability, user and product experience, and important business questions such as:
Note: This iCube currently supports only the Pendo source system.
You can use the following attributes and metrics provided as part of the iCube to create your own reports:
| Attribute | Description |
|---|---|
| Calendar Date | Gregorian calendar date displayed in the format 'M/D/YYYY' |
| Calendar Month | Gregorian calendar month displayed in the format 'Mon YYYY' |
| Calendar Quarter | Gregorian calendar quarter displayed in the format 'Q# YYYY' |
| Calendar Week | Gregorian calendar week displaying the week number. For example, W21, W22 |
| Customer | An organization or account whose users access the application |
| Date | Gregorian calendar date displayed in the format 'M/D/YYYY,' when a page is accessed by an active user |
| Lagging Count of Days | Count of number of days since the first data record till current day |
| Lagging Count of Months | Count of number of months since the first data record till current month |
| Lagging Count of Quarters | Count of number of quarters since the first data record till current quarter |
| Lagging Count of Weeks | Count of number of weeks since the first data record till current week |
| Product | The specific application whose product usage and user experience performance is being measured |
| Visitor | The specific unique visitor of the page in an application |
| Metric | Description | Formula | Expected Value |
|---|---|---|---|
| Adoption | The percentage of users who are using your product effectively as indicated by your Core Events | NullToZero(([No of Core Event Unique Users] / [No of Unique Users])) | 0-100% |
| Adoption - Last 30 Days | The percentage of users who are using your product effectively as indicated by your Core Events in last 30 days | NullToZero(([No of Core Event Unique Users - Last 30 Days] / [No of Unique Users - Last 30 Days])) | 0-100% |
| DAU | Number of unique users of a day | NullToZero(([Sum DAU] / [No of Unique Active Days])) | >=0 |
| Growth Rate - Last 30 Days | Growth compares the number of active Visitors or Accounts in the last 30 days period with the last to last 30 days period and compounds that growth rate for a year | Case(([Growth Rate - Last 30 Days - Base] <= 0), 0, ([Growth Rate - Last 30 Days - Base] >= 100), 100, [Growth Rate - Last 30 Days - Base]) | 0-100 |
| Growth Rate - Month | Growth compares the number of active Visitors or Accounts in the current time period with the preceding time period and compounds that growth rate for a year | Case(([Growth Rate - Prev Month - Base] <= 0), 0, ([Growth Rate - Prev Month - Base] >= 100), 100, [Growth Rate - Prev Month - Base]) | 0-100 |
| MAU | Number of unique users during the specific 30 day duration | NullToZero(([Sum MAU] / [No of Unique Active Days])) | >=0 |
| No of Unique Users Growth % - Last 30 Days | % Growth of Unique active users from last 30 days to last to last 30 days | NullToZero((([No of Unique Users - Last 30 Days] - [No of Unique Users - Last to Last 30 Days]) / [No of Unique Users - Last to Last 30 Days])) | >0 |
| No of Unique Users Growth % - Month | % Growth of Unique active users compared to previous month | NullToZero((([No of Unique Users] - [No of Unique Users - Previous Month]) / [No of Unique Users - Previous Month])) | >0 |
| Product Engagement Score - Last 30 Days | The combined impact of feature adoption, return user stickiness, and new user growth in last 30 days. | NullToZero((((([Adoption - Last 30 Days] * 100) + ([Stickiness (WAU/MAU) - Last 30 Days] * 100)) + [Growth Rate - Last 30 Days]) / 3)) | >=0 |
| Product Engagement Score - Month | The combined impact of feature adoption, return user stickiness, and new user growth. | NullToZero(((((Adoption * 100) + ([Stickiness (WAU/MAU)] * 100)) + [Growth Rate - Prev Month]) / 3)) | >0 |
| Stickiness (DAU/WAU) | Percentage of Rolling Daily Active users to Rolling Weekly Active users | NullToZero((DAU / WAU)) | 0-100% |
| Stickiness (WAU/MAU) | Percentage of Rolling Weekly Active users to Rolling Monthly Active users | NullToZero((WAU / MAU)) | 0-100% |
| Stickiness (WAU/MAU) - Last 30 Days | Percentage of Rolling Weekly Active users to Rolling Monthly Active users in last 30 days | NullToZero(([WAU - Last 30 Days] / [MAU - Last 30 Days])) | 0-100% |
| WAU | Number of unique users during the specific 7 day duration | NullToZero(([Sum WAU] / [No of Unique Active Days])) | >=0 |
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