Value Prop

Question 1

What is Retention Analysis?

Answer 1

Used to understand if users are coming back to your application over time

Question 2

Retention Analysis Value Prop

Answer 2

If you don’t retain users you have a leaky bucket and cannot grow over time

Question 3

What is Lifecycle?

Answer 3

Used to measure where your growth and churn are coming from

Question 4

Lifecycle value prop

Answer 4

If you aren’t growing more than churning users you are decreasing in size overall

Question 5

What is Stickiness chart?

Answer 5

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

Question 6

Stickiness value prop

Answer 6

Helps you optimize a core feature of your app that you expect users to get a love of value from

Question 7

What is Pathfinder?

Answer 7

Visualizes the most popular flows users are taking in your app

Question 8

Pathfinder Value Prop

Answer 8

1. Identify users flows so you can optimize conversion funnel
2. allows product teams to validate their hypothesis about how people move through their products

Question 9

What is Funnel Analysis?

Answer 9

Used to analyze conversion rates across a sequence of events, important to understanding your critical path

Question 10

Funnel Analysis value prop

Answer 10

Understanding if users are converting is crucial for growth

Question 11

What is Event Segmentation?

Answer 11

Allows you to dig deeper into your events, event properties, users and user properties

Question 12

What is an event?

Answer 12

An action a user takes in your app

Question 13

What is User Composition?

Answer 13

Shows the breakdown of users based on user properties

Question 14

User Sessions

Answer 14

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

Question 15

What is max paths pathfinder shows?

Answer 15

5

Question 16

Pathfinder Users

Answer 16

All events and paths that users take in your app at a specified time. I need to measure “x” without any steps in between

Question 17

A/B testing

Answer 17

In funnel analysis, shows if variant performs better than your baseline

Question 18

What does Amplitude help you do?

Answer 18

Amplitude focuses on helping you understand how your users are interacting with your product so you can build a better product

Question 19

N-Day Retention

Answer 19

This person came back and performed the return event on that specific day

Question 20

Usage Interval

Answer 20

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

Question 21

Data Table

Answer 21

For every chart shows you the each data point at a more granular level

Question 22

What 3 things do you always forget to show in Event Segmentation?

Answer 22

Grouped by, date picker, save/share chart/dashboard

Question 23

Elevator pitch on reading points

Answer 23

In order to read this chart we literally just read it left to right like an English sentence

Question 24

Grouped by

Answer 24

Shows me the breakdown distribution of event properties or user properties

Question 25

Pulse

Answer 25

In lifecycle, users coming into the door vs. users coming out of the door , so this is new plus resurrected over dormant

Question 26

Project

Answer 26

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.

Question 27

N-Day retention

Answer 27

tells you what percentage of users come back on a specific day.

Question 28

Unbounded retention

Answer 28

Unbounded Retention tells you what percentage of users come back on a specific day or later.

Question 29

Usage Interval view

Answer 29

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.

Question 30

Active user

Answer 30

being active means triggering at least one active event during the calculated time period

Question 31

Group by

Answer 31

if i wanted to see the breakdown of event distribution properties

Question 32

Active User

Answer 32

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.

Question 33

New User

Answer 33

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.

Question 34

Unique User

Answer 34

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.

Question 35

Session

Answer 35

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.

Question 36

Event

Answer 36

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.

Question 37

Event Property

Answer 37

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.

Question 38

User Property

Answer 38

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.

Question 39

Behavioral Cohort

Answer 39

A set of users with shared behaviors and properties, e.g. users who have made at least five purchases within the last 30 days.

Question 40

Stickiness

Answer 40

Measures the number of different days/weeks a user performs an event in each week/month interval.

Question 41

Retention

Answer 41

Measures how often your users are returning to your app over some timeframe.

Question 42

User ID

Answer 42

A unique ID used to identify a user, e.g. email address or username.

Question 43

Device ID

Answer 43

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.

Question 44

Event ID

Answer 44

A counter distinguishing events. Event IDs are associated with the Device ID.

Question 45

Session ID

Answer 45

Represents the number of milliseconds since epoch (UTC) of when the first event of the session occurs.

Question 46

[Amplitude] Any Active Event

Answer 46

Any event you are tracking in Amplitude that has not been marked as inactive.