USAGE INSIGHTS

How do I track daily, weekly, or monthly active users over time?

Upshot does not provide weekly active users, we simply don’t find it useful. View your MAUs and DAUs in the Audience section.

Monthly Active Users

A monthly active user is a user who has had at least one session in that month. This report will provide the monthly active users view based on a date range selection.

Daily Active Users

A daily active user is a user that has at least one session on that day. This report will provide the daily active users view based on a date range selection.

How do I know my month on month retention?

• Go to the retention section, regular retention report.
• Select a time range more than 30 days, we recommend selecting 6 months of time
• The report shows month on month retention.

How do I get the answer to “How often do users use feature x in the app”?

Use event reports to see how often an event was triggered in the app. For example,Here you can see the number of times the event ‘Purchased’ occurred after performing an “Add to cart”.

Where can I see the distribution of users by location?

You can see the location distribution in the following ways:

Geography - based on Sessions

Split By - Each report has a split by country option available

Why are monetisation reports showing no data unavailable?

The report needs to know what is the conversion event and attribute for your app. Go to the top right corner to set these. Choose the conversion event and revenue attribute.

Conversion Event: The event that has the revenue attribute. For e.g. order confirmation is the event for an ecommerce app

Revenue Attribute: The event order confirmation has an attribute called “total cart value”. The numbers in this attribute will be used by all revenue reports.

How do I determine my most engaged or highest value users?

Determining your most engaged users is critical for a successful app. Once you understand exactly who your most valuable users are you can create acquisition campaigns to attract similar users, establish in-app campaigns to drive other users to make the same behaviors, and send promotions via email to reward them for their engagement.

To identify your most engaged users:

1. Build a segment of users that completed critical app events.
2. Create audiences to filter on event counts as well as profile information.
3. Compare 1, 7, 14, N, day retention pre and post release of a new app version.
4. Create funnels to determine key events in the flow to conversion.
5. Compare ARPPU (average revenue per paying user) of users that have used a feature vs. ARPPU of users who have not used a feature.

How do I create a custom view of my favorite reports?

Go to the report you want in the dashboard in the reports section. Click on “add to dashboard” available on the top right corner of the report. This report will be added to the dashboard. You can go to the dashboard and remove reports you don’t need.

What metrics should I track?

Below are six suggestions broken out by potential roles within your organization. Customize these dashboards knowing that some of the biggest apps out there are tracking these same metrics.

Growth Hacker Dashboard

• Users (hourly) - by Country
• App Opens/Sessions (hourly)
• LTV by Acquisition Source
• Basket Size - Revenue per Transaction by Day
• Purchases - Transactions by Day
• Revenue by Day split by Acquisition Source
• Retention by Weekly Cohort
• Session Length split by Platform
• Attribution (New Users by Day split by Acquisition Source)
• Attribution (bottom table)
• Users by Day split by App Version filtered on New vs. Returning = New
• Profiles - Last City
• Virality - Share Event (hourly)

Product Manager Dashboard

1. Happy path funnel (best case scenario)
2. Conversion funnel
3. Activation/registration funnel
4. First Run Experience - Sessions by Session Length filtered on New vs. Returning.
5. Retention by Weekly Cohort
6. Feature Usage - Event-based Retention for key features (Key Feature -> App Launch)
7. Sessions by Session Length split by Platform
8. Profiles - Last City
9. Monthly Occurrences by Event Name (table)
10. Users by Day split by App Version
11. Users by Day of Week
12. Users by Daypart
13. Users by Day split by Country
14. Users by Day split by Language

Business Analyst Dashboard

For each app/platform:

• Usage stats (top summary of Usage report)
• 30 day Sessions
• 30 day Users
• Monthly Occurrences by Event Name (table)
• Retention by Weekly Cohort
• Revenue by Day
• Transactions by Day

Marketer Dashboard

• Campaign performance of long running in-app campaign
• Campaign performance of recurring push campaign
• NPS rating results
• Event-based Retention (Push Opened -> Key Event)
• Event-based Retention (Localytics In-app Displayed -> Key Event)
• Revenue by Day split by Acquisition Source
• Users by Day split by Push Enabled
• Attribution (New Users by Day split by Acquisition Source)
• Attribution (bottom table)

Developer Dashboard

• Users by Day split by OS Version
• Users by Day split by Device
• Users by Day split by Platform
• Users by Day split by Jailbroken
• Users by Day split by App Version
• App Errors by Type
• App Errors by Screen
• App Exceptions by Type
• App Exceptions by Thread Name
• App Exceptions by File Name

Executive Dashboard

• Usage stats (top summary of Usage report)
• 30 day Sessions by Day
• 30 day Users by Day
• Monthly Occurrences by Event Name (table)
• Retention by Weekly Cohort
• Attribution (New Users by Day split by Acquisition Source)
• Attribution (bottom table)
• Revenue by Day split by Acquisition Source
• Purchases - Transactions by Day
• Basket Size - Revenue per Transaction by Day