Appboy Feature Release: App Usage Analytics Revamp

Published on February 17, 2014/Last edited on February 17, 2014/1 min read

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Team Braze
Team Braze

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Talking with customers, we’ve seen the impact that insights from analytics can offer. Recently, we have released a lot of great improvements to the Dashboard (including Campaign Analytics and Location Targeting upgrades), and this week the new App Usage Analytics page will continue that trend and help you utilize Appboy data to understand overall trends and patterns in user behavior. Early feedback from customers working with us during beta testing has been great, and once you log onto the Dashboard, February 19th, you’ll see the updates.

You will now have access to:

  • Brand new KPIs, including Daily Active Users (DAUs), Stickiness (DAU/MAU) and Average Daily Sessions
  • KPI trends and comparisons with past time periods

Graph displaying user engagement metrics, including monthly active users, daily active users, new users, stickiness, daily sessions, and daily sessions per monthly active user. Data shows trends over time with percentage changes.
  • Analytics in custom time ranges
  • Brand new KPIs, including Stickiness
  • Industry-first analytics by segment

The new page offers plenty of beneficial changes. Here’s a quick guide to find your way around the page, from top to bottom:

Dashboard displaying user statistics: 12,837 lifetime users and 9,284,928 lifetime sessions, with a date range from January 14 to February 12, 2014.
  • Lifetime app stats
  • App analytics with fully customizable time ranges
  • Tabular data to dig deeper into the numbers

A graph displaying user statistics over time, including monthly active users, daily active users, and new users. The data shows fluctuations in user numbers from January 2014 to January 2016.
  • Analytics by segment

Line graph showing the number of sessions for users aged 35 and older, with a steady increase over time, compared to all sessions. The data is presented from mid-January to early February.
  • Time-series analytics for all KPIs

Line graph showing the "Stickiness" metric over time, with data points indicating daily and monthly active users, new users, sessions, and sessions per MAU. The trend line shows a gradual increase from January to February.

The updated page will be available Friday and include historical data for all stats.

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