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tracy.guo
Team Member
tracy.guoAmplitude Support
posted in  Building and Sharing Your Analysis
[Retention] How is Retention Calculated? (N-Day Retention)

The data points you see in the Retention chart are the deduplicated “weighted averages” of all Day N retention values and should match the percentages located in the top row of the breakdown table. It is often easier to digest retention data in Amplitude by looking at the expanded breakdown table below the chart. In the breakdown table, the asterisk means that the day is incomplete for that cohort and the percentage may change as more data comes in. Percentages with asterisks are not calculated in the average unless it is the only data point for that day.For each retention percentage in the data table, the numerator is the number of unique users who performed the return event on their Day/Week/Month N. The denominator for all rows - except the top "All Users" row - is the user count you see in the "Users" column,​ which represents the number of users in that cohort who performed the Starting event that day. Since users can perform the Starting event multiple times in the chart date ran

0
tracy.guo
Team Member
3 years ago
belinda.chiu
Team Member
belinda.chiuAmplitude Support
posted in  Building and Sharing Your Analysis
[Retention] Why does the Retention curve go up?

It is not uncommon to see retention going up, especially if your selected timeframe includes incomplete data points. The main reason why the retention is going up is that we are dealing with uneven sample sizes for each "day" of retention when the date range is very recent. For example, User A became a new user on September 30th. This user would be counted in the denominator of the Day 1 retention rate because this user has had the opportunity to be Day 1 retained. However, this user would not be counted in the Day 10 metric because today is October 2nd and the user hasn't had the opportunity to be Day 10 retained yet. User A is completely excluded in the calculation of Day 10 retention.The line graph will show you the weighted average of all the retention numbers from the user cohorts within the selected time frame. You can see the data for each individual cohort in the table below the chart. Your retention chart is going up because the user cohorts who joined later are given less tim

0
belinda.chiu
Team Member
3 years ago
belinda.chiu
Team Member
belinda.chiuAmplitude Support
posted in  Building and Sharing Your Analysis
[Event Segmentation] How-to see distinct count of devices with PROPCOUNT

Have you ever wanted to know the following:Total count of device IDs used per day Number of devices that a user is using / count of devices grouped by User IDIf so, Amplitude does support a metric called PROPCOUNT in which returns the number of distinct property values for the property the event is grouped by: https://help.amplitude.com/hc/en-us/articles/115001163231#h_46d7c586-591a-4454-989e-74deab6a732fYou can use this custom formula on an Event Segmentation chart to get the total count of device IDs per day: https://analytics.amplitude.com/demo/chart/gqyzg77 And then add a second event group by UserID to get a total count of device IDs per user per day: https://analytics.amplitude.com/demo/chart/848sph6 Please note that the Event Segmentation chart is subject to the dates in the date picker. So you will only be able to see the count of devices each User ID used during the time period selected. 

0
belinda.chiu
Team Member
3 years ago
Amplitude Admin
Community Manager
Amplitude AdminCommunity Manager
published in Data Instrumentation
JS SDK Instrumentation Example and Testing

If you are new to Amplitude and you are looking for a quick and easy-to-use example for how to instrument and test the JavaScript SDK on a web product, this is the right place!In order to make things easier to work with, we have created a very simple HTML file that has one button, which when you click it, will send an event to Amplitude. To test the Javascript SDK:  Download the attached file Open the file in a text editor and edit the API_KEY to the one from your project. The line with the API_KEY is marked in red in the screenshot below. The second red box contains the function that gets executed when the user clicks the button. In this case, we just show the current date when the users click on the button and send an event to Amplitude. Open the file in the browser, click the button and check if the event has been sent to your project  For the testing part, once you have your own project's API key, you can open this HTLM file with the Google Chrome browser, and click the butto

7090
Amplitude Admin
Community Manager
3 years ago

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