Value Prop Flashcards
What is Retention Analysis?
Used to understand if users are coming back to your application over time
Retention Analysis Value Prop
If you don’t retain users you have a leaky bucket and cannot grow over time
What is Lifecycle?
Used to measure where your growth and churn are coming from
Lifecycle value prop
If you aren’t growing more than churning users you are decreasing in size overall
What is Stickiness chart?
Used to measure the addictiveness of a feature, shows us the # of days a user performed a specific event in a weekly or monthly interval
Stickiness value prop
Helps you optimize a core feature of your app that you expect users to get a love of value from
What is Pathfinder?
Visualizes the most popular flows users are taking in your app
Pathfinder Value Prop
- Identify users flows so you can optimize conversion funnel
- allows product teams to validate their hypothesis about how people move through their products
What is Funnel Analysis?
Used to analyze conversion rates across a sequence of events, important to understanding your critical path
Funnel Analysis value prop
Understanding if users are converting is crucial for growth
What is Event Segmentation?
Allows you to dig deeper into your events, event properties, users and user properties
What is an event?
An action a user takes in your app
What is User Composition?
Shows the breakdown of users based on user properties
User Sessions
Our user sessions chart helps you analyze users through three session based metrics: 1. session length distribution 2. average session length 3. average sessions per user
What is max paths pathfinder shows?
5
Pathfinder Users
All events and paths that users take in your app at a specified time. I need to measure “x” without any steps in between
A/B testing
In funnel analysis, shows if variant performs better than your baseline
What does Amplitude help you do?
Amplitude focuses on helping you understand how your users are interacting with your product so you can build a better product
N-Day Retention
This person came back and performed the return event on that specific day
Usage Interval
Events that happened on multiple days, how long did it take for the user to come back and perform the event again, what is the average between those 2 days
Data Table
For every chart shows you the each data point at a more granular level
What 3 things do you always forget to show in Event Segmentation?
Grouped by, date picker, save/share chart/dashboard
Elevator pitch on reading points
In order to read this chart we literally just read it left to right like an English sentence
Grouped by
Shows me the breakdown distribution of event properties or user properties
Pulse
In lifecycle, users coming into the door vs. users coming out of the door , so this is new plus resurrected over dormant
Project
A project is a destination that collects all of your event data from your product. However, it is extremely important that you have a minimum of two projects in your Amplitude organization: a test and production project. You should always heavily QA your instrumentation in your test project before sending it to your production project in order to catch any instrumentation bugs and keep test data separate from production data.
N-Day retention
tells you what percentage of users come back on a specific day.
Unbounded retention
Unbounded Retention tells you what percentage of users come back on a specific day or later.
Usage Interval view
The usage interval shows the percentage of active users that have performed the selected event(s) with a median frequency of X days/week/month. To be counted in this view, users must perform the selected event on at least 2 separate days in the time range. Discovering your usage interval is important so you can accurately draw conclusions about your retention numbers. Some products are built to be used daily, while other might be used much less frequently.
Active user
being active means triggering at least one active event during the calculated time period
Group by
if i wanted to see the breakdown of event distribution properties
Active User
By default, an active user is a user who has logged at least one event on a particular day. You can edit this definition by marking certain events as inactive.
New User
A new user is a user who has logged an event for the first time (this includes inactive events). The time of when the user is new is the time of when they logged their earliest event.
Unique User
A unique user is a distinct individual to whom events are attributed. Amplitude uses a system of identifiers to count unique users. In the raw data, unique users are counted using amplitude_id.
Session
A session is a period of time that a user has your app in the foreground. By default, events within 5 minutes of each other are combined into a single session on a mobile app. On web, events within 30 minutes of each other are combined into a single session.
Event
An event is an action a user takes in your app. This could be anything from pushing a button, completing a level, or making a payment. Depending on your type of app you should aim to track between 15 and 200 events to get a full understanding of how users are engaging with your app.
Event Property
Reflects more detailed information about an event at the time it was tracked. These properties highly depend on the type of app you have and the specific information you think is necessary for understanding a particular event. General keys we have seen are cause, description, category, type, duration, level, % completed, name, count, source, status, from, number, lives, authenticated, error, rank, action, and mode.
User Property
Reflects traits about the individual person using your app. Examples of custom user properties are age, gender, email, locale, referral source, plan type, number of photos uploaded, number of units of in-game currency, and current level in a game. The most important thing to remember is that these user properties reflect the state of the user and apply across all their events.
Behavioral Cohort
A set of users with shared behaviors and properties, e.g. users who have made at least five purchases within the last 30 days.
Stickiness
Measures the number of different days/weeks a user performs an event in each week/month interval.
Retention
Measures how often your users are returning to your app over some timeframe.
User ID
A unique ID used to identify a user, e.g. email address or username.
Device ID
A device-specific identifier. For iOS, the Device ID is the identifierForVendor (IDFV). This does not persist across installs. For Android, we generate a random Device ID that gets stored locally on the phone. However, there is a flag to use the Advertising Identifier as the Device ID if you want. The Advertising Identifier does persist across installs but users have the option of changing this identifier on their devices at any time. See a detailed explanation for how the value is obtained here.
Event ID
A counter distinguishing events. Event IDs are associated with the Device ID.
Session ID
Represents the number of milliseconds since epoch (UTC) of when the first event of the session occurs.
[Amplitude] Any Active Event
Any event you are tracking in Amplitude that has not been marked as inactive.
