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author | Dirk Dougherty <ddougherty@google.com> | 2015-05-09 12:10:56 -0700 |
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committer | Dirk Dougherty <ddougherty@google.com> | 2015-05-14 20:05:13 -0700 |
commit | de401c82f58a9465593391fede942fe6ffd22ef1 (patch) | |
tree | 60af961b413627c3f3bd2899107843f183a18db7 /docs/html/distribute/analyze | |
parent | a0f0b5bfd8df9e0caa6848bc479f1ed3dc492efc (diff) | |
download | frameworks_base-de401c82f58a9465593391fede942fe6ffd22ef1.zip frameworks_base-de401c82f58a9465593391fede942fe6ffd22ef1.tar.gz frameworks_base-de401c82f58a9465593391fede942fe6ffd22ef1.tar.bz2 |
Doc change: More changes to distribute files, Google Services page update.
Change-Id: I047ff9165c5844075561b31e42f8127d8819aeb0
Diffstat (limited to 'docs/html/distribute/analyze')
-rw-r--r-- | docs/html/distribute/analyze/understand-user-value.jd | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/docs/html/distribute/analyze/understand-user-value.jd b/docs/html/distribute/analyze/understand-user-value.jd index 30dca9c..e561941 100644 --- a/docs/html/distribute/analyze/understand-user-value.jd +++ b/docs/html/distribute/analyze/understand-user-value.jd @@ -71,6 +71,53 @@ page.tags="analytics, user behavior" <img src="{@docRoot}distribute/analyze/images/demographics.png"> </div> +<h2 id="change">All Things Change with Time, and So Do Your Users</h2> + +<p> + Getting users to install and open your app the first time is a big accomplishment; + however, it’s only the first step of what is hopefully a long and prosperous + relationship. The best apps aren’t just the ones with the most downloads, they are + the ones that have users coming back day after day, month after month, and year + after year. +</p> + +<p> + Google Analytics takes a user-centric approach to reporting to help you explore what + keeps users coming back. <strong>Cohort Reporting</strong> allows you to see which users + come back over time and when usage tends to fall off. You can easily take this same + information and overlay it on any other report. +</p> + +<div> +<img src="{@docRoot}distribute/analyze/images/cohort_reporting.png"> +</div> + +<h2 id="measure-value">Measure Value over Time</h2> + +<p> + Analyzing retention is a great way to ensure users stick with your app and come back day after + day. With <strong>Lifetime Value</strong> reporting, you’ll get a full picture of these users’ + value over time. To get the most out of this report, it’s important to start with a clear + definition of what a user’s value means to you based on your business objectives. +</p> + +<p> + Once you’ve defined the value, you can access the report to measure certain variables such as + revenue per user and number of screen views per user over a period of 90 days. For example, if + the goal of your app is to get users to purchase virtual or material goods, you’ll want to use + this report to get a clear view of when they make a purchase and how much they are spending in + your app over time. +</p> + +<p> + Lifetime Value is a key metric to use to measure the effectiveness of your acquisition + campaigns. If your cost to acquire a new user is higher than the average value over time, + you might want to optimize your campaigns to meet the lifetime revenue they generate. Lifetime + Value is particularly valuable if you offer in-app purchases, but it can be applied to + discovering many other useful insights, such as number of times they open your app, total + number of screens and goal completions. +</p> + <h2 id="cohort">Segment Your Data</h2> <p> |