Adding a forecast

screenElements:
Radio Button
Popover

screenPatterns:
Add & Create
Select

screenPatterns:
Add & Create
Select
Charts

screenKeywords:
ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Anomaly + Forecast Compare v Computed 5 minago ) Refresh ~ Line chart v Daily v mm
v Events ‘S Event Explorer Agile  forecasting 15 days
forecast start
A Complete Purchase : 8k
+Filterby  + Group-by
[
6k
B Checkout H ! "~ \ r
\ f \ 1
3 \ f \ 1
+Filterby  + Group-by 2 4k \ 1 \ 1
2 \ 1 \ !
=} \ | \ 1
+ Add Event . s [ v
\ 1 ————
2k e =% ‘__"’ ;;——;—.—_—_7 \\-_—’ /’ P
o ° \ / \\ ,_ -—-——-
;——~\«-—I—“"'_‘_‘t=”
v Measured as O Advanced v —7
.
0 H
Event Totals Active % Z‘ Jul24 Jul31 Aug 7 Aug 14 Aug 21 Aug 28
Average Frequency Properties “ @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula Expected Value
v Segmentby Anyv Usersv © Saved v Breakdown Table ~ Root Cause Analysis
1 v AllUsers H
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
ﬂ Segment Event Total Training Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17
i v New Users X i
v @ AllUsers Complete Purchase 150 days 5,420 5,545 5,758 -
whodid @ New User Y X
Demo Guide e
. All Users (Low, Complete Purchase (... 150 days 5,032.38 5,079.05 5,185.78
Revert to Legacy Controls : (Low) g ( Y
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Compare v Computed 5 minago ) Refresh ~ Line chart v Daily v mm
v Events & Event Explorer Agl Select Mode ()
Agile
A Complete Purchase : © Ag
() Robust
+ Filter by  + Group-by O Custom
Confidence Interval 95% v === -l / === ==\ - = -
B  Checkout H p \
@ Prior Periods (Days) / I
+Filterby  + Group-by % data before chart starts @ 120 II I
c I
5 J i
+ Add Event Add Forecast (D II II a
Forecast Periods (Days) 15 - /
future projection Lt
v Measured as © Advanced v N— /\W
Apply .
Event Totals Active % Z‘ Jul 26 Jul28 Jul 30 Augl Aug 3 Aug 5 Aug 7 Aug9  Augll Augl3 Augl5 Augl?
Average Frequency Properties “ @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula Expected Value Partial Data
v Segmentby Anyv Usersv @ Saved v Breakdown Table  Root Cause Analysis
1 v AllUsers H
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
ﬂ Segment Event Total Training Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17
i v New Users X i
v @ AllUsers Complete Purchase 150 days 5,420 5,545 5,758 6,160
whodid @ New User Y X
Demo Guide e
. AllU L C lete Purch: 150d 5,027.33 5,141.51 5,164.0
Revert to Legacy Controls : seiCow) Copleiciuichasell e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Compare v Computed 5 minago ) Refresh ~ Line chart v Daily v mm
v Events & Event Explorer Agl Select Mode ()
Agile
A Complete Purchase : © Ag
() Robust
+ Filter by  + Group-by O Custom
Confidence Interval 95% v === -l / === ==\ - = -
B  Checkout H p \
@ Prior Periods (Days) / I
+Filterby  + Group-by % data before chart starts @ 120 II I
c I
5 J i
+ Add Event Add Forecast (D II II a
Forecast Periods (Days) 0 - - /
future projection as et
v Measured as © Advanced v N— /\W
Apply .
Event Totals Active % Z‘ Jul 26 Jul28 Jul 30 Augl Aug 3 Aug 5 Aug 7 Aug9  Augll Augl3 Augl5 Augl?
Average Frequency Properties “ @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula Expected Value Partial Data
v Segmentby Anyv Usersv @ Saved v Breakdown Table  Root Cause Analysis
1 v AllUsers H
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
ﬂ Segment Event Total Training Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17
i v New Users X i
v @ AllUsers Complete Purchase 150 days 5,420 5,545 5,758 6,160
whodid @ New User Y X
Demo Guide e
. AllU L C lete Purch: 150d 5,027.33 5,141.51 5,164.0
Revert to Legacy Controls : seiCow) Copleiciuichasell e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Compare v Computed 4 minago ) Refresh ~ Line chart v Daily v mm
v Events & Event Explorer Agile  +add forecast
A Complete Purchase : 8k
+Filterby  + Group-by
6k > —
B Checkout H
3
+Filterby  + Group-by 2 4k
£
+ Add Event %) .
° ot
2k e
.\/\ /. L
« Measuredas © Advanced v \/\./ &/&./\/\/\W
o L]
Event Totals Active % Z‘ Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl?
Average Frequency Properties “ @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula Expected Value Partial Data
v Segmentby Anyv Usersv @ Saved v Breakdown Table  Root Cause Analysis
1 v AllUsers H
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
ﬂ Segment Event Total Training Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17
i v New Users X i
v @ AllUsers Complete Purchase 150 days 5,420 5,545 5,758 6,160
whodid @ New User Y X
Demo Guide e
. AllU L Ci lete Purch 150d 5,027.33 5,141.51 5,164.0
Revert to Legacy Controls : sers (Low) omplete Purchase ( e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Compare v Computed 4 minago ) Refresh ~ Line chart v Daily v mm
v Events & Event Explorer Agl Select Mode ()
Agile
A Complete Purchase : © Ag
() Robust
+ Filter by  + Group-by O Custom
Confidence Interval 95% v === -l / === ==\ - = -
B  Checkout H p \
@ Prior Periods (Days) / I
+Filterby  + Group-by % data before chart starts @ 120 II /i
c I
5 J i
+ Add Event Add Forecast (D II II a
Forecast Periods (Days) 0 - /
future projection Lt
v Measured as © Advanced v N— /\W
Apply .
Event Totals Active % Z‘ Jul 26 Jul28 Jul 30 Augl Aug 3 Aug 5 Aug 7 Aug9  Augll Augl3 Augl5 Augl?
Average Frequency Properties “ @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula Expected Value Partial Data
v Segmentby Anyv Usersv @ Saved v Breakdown Table  Root Cause Analysis
1 v AllUsers H
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
ﬂ Segment Event Total Training Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17
i v New Users X i
v @ AllUsers Complete Purchase 150 days 5,420 5,545 5,758 6,160
whodid @ New User Y X
Demo Guide e
. AllU L C lete Purch: 150d 5,027.33 5,141.51 5,164.0
Revert to Legacy Controls : seiCow) Copleiciuichasell e


Amplitude plans

appName: Amplitude

appCategory: Business

appTagline: Product analytics & event tracking platform

companyHqRegion: US & Canada

companyStage: Public & Mature

platform: web

pageType: Application

hotspotType: Click

screenElements:
Avatar
Top Navigation Bar
Icon
Card
Grid List
Side Navigation

screenPatterns: Dashboard Home

hotspotType: Scroll Vertically

screenPatterns:
Subscription & Paywall
Pricing

screenPatterns:
Dashboard
Home
Subscription & Paywall
Pricing

pageType: Application Application Application

allAppCategories:
Artificial Intelligence
Business

screenKeywords:
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
1 Quick actions
| a i Start from a template [0 Explore Amplitude demo +2 Invite a new user [iL] Create a chart
Go To Your Space
) What’s happening in your product JD Mobbin v ®
A Overview Q3
{ Recents
Daily Active Users (DAU) Breakdown of users by New users Average session length
Y¢ Favorites country
/’ Drafts 0 ;;o?\:/gul 19 inpli ] Al 0 ;;o?\:/gul 19
yesterday Country VSErS yesterday
JUMP BACK IN Singapore 3 0 m
4 4 .
OF Funnel Analysis (Copy) Avg Session Length
3 : 3 :
g2 : T2 :
c . c .
2 . 2 .
0 e, 0 e,
Jul31 Aug 14 Jul31 Aug 14
Product KPIs V2 Session Engagement
Go To Template - User Activity Go To Template - User Activity Go To Template - Go To Template -
Realtime event stream ® Realtime users by location ® Realtime users ®
Event Time user @
[Amplitude] Star Today,.. 70439738... @
|Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Free to get started: 100K MTUs $240,00 /month Build your own Build your own
Monthly tracked users
Our free plan includes Everything in Starter, plus Everything in Plus, plus Everything in Growth, plus
Core analytics charts Data tables Advanced behavioral analytics Data governance at scale
Advanced Collaboration Behavioral Cohorts 5 Automatic syncs to third Root cause analysis
Data planning tools Impact Analysis party/destinations Real time monitoring
Unlimited data sources & Dashboard Templates Single Sign-0On (SS0) Dedicated CSM
destinations Buy Accounts Add-on Onboardingisupportiand Advanced permissions &
customer success .
password protected links
Helping teams like Helping teams like Helping teams like Helping teams like
Sotheby’s Flow CLve =°f PandaDoc & Reputation #" instacart
A TONAL w BIRD BACKSTAGE NBCUniversal
SEVAS CTCRS E1a (1] ol (oTo (I T-R (o X -{(o) Ve 4
Apply for our Scholarship Program
Startups founded less than two years ago with under $5M in funding
and fewer than 20 employees receive one free year on our Growth plan.
Apply Here .
|Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Amplitude Plans
Plans for delivering ultra-fast, intelligent insights into customer behavior.
Starter Plus Growth Enterprise
Essentials for small teams getting Ideal for teams who need faster and Made for teams that need to scale with Built for data-led organizations who
started with product analytics deeper behavioral analysis full visibility into the customer journey drive business strategy with insights
Monthly = Yearly 17% OFF
Free to get started: 100K MTUs $240,00 /month Build your own Build your own
Monthly tracked users
Our free plan includes Everything in Starter, plus Everything in Plus, plus Everything in Growth, plus
Core analytics charts Data tables Advanced behavioral analytics Data governance at scale
Advanced Collaboration Behavioral Cohorts 5 Automatic syncs to third Root cause analysis
Data planning tools Impact Analysis party/destinations Real time monitoring
Unlimited data sources & Dashboard Templates Single Sign-0On (SS0) Dedicated CSM
destinations Buy Accounts Add-on Onboardingisupportiand Advanced permissions &
customer success .
password protected links
Helping teams like Helping teams like Helping teams like Helping teams like .
Sotheby’s FLow CLvB <=l PandaDoc & Reputation £ instacart


Inviting a developer

actions:
Inviting Teammates & Friends
Copying & Duplicating

hotspotType: Keyboard Input

screenElements:
Dialog
Text Field
Text Field

screenElements:
Toast
Dialog
Stacked List

screenElements:
Dialog
Text Field
Text Field
Toast
Dialog
Stacked List

screenPatterns:
Invite Teammates
Acknowledgement & Success
Guided Tour & Tutorial

pageType: Application Application Application Application Application Application Application

screenKeywords:
Invite developer
Send invites to
jsmith.mobbin@gmail.com
jsmith.mobbin@gmail.com v
‘ Add a message (optional)
@ Copy Invite Link
°
|Invite developer
Send invites to
jsmith.mobbin@gmail.com X  Enter emails
2 4 events attached v
Hey John,
It would be of great help if you could spend some time to set this up!
Thanks!
@ Copy Invite Link
|Invite developer
Send invites to
Enter emails
2 4 events attached v
Add a message (optional)
@ Copy Invite Link
°
|Invite developer
Send invites to
jsmith.mobbin@gmail.com X  Enter emails
2 4 events attached v
Add a message (optional)
@ Copy Invite Link
°
|© Success. Sent invitation to jsmith.mobbin@gmail.com. X
Invite developer
Successfully sent invitations.
What would you like to do while you wait for your team to join?
o&  Continue with Implementation
View implementation instructions
F| Explore Demo
Play with our demo project
<0 View Amplitude Academy
Watch tutorial videos
|@ Amphtude Explore Demo  Invite (@ &
GETTING STARTED =, 4 events planned from last step: Sign Up, Page View, Request Demo, Click rate
> . . .
@ Customize your guide Next, send your first set of data
Before you create charts, send data with our SDKs, APIs, or from other platforms.
O Send your data You may want to invite your developer to help with this step.
O View live data Popular data sources View All
Save vour org's first chart . Browser SDK Android SDK
O y g Default event tracking available “ Default event tracking available
O Complete guide
2 i0SSDK
. . HTTP API
Default event tracking available
Your APIKey (D)
a35be376e£0991c4d9c804c6ec00b468 rD
(® Want assistance? Invite your developer @
|Invite developer
Send invites to
jsmith.mobbin@gmail.com X  Enter emails
2 4 events attached v
Hey John,
It would be of great help if you could spend some time to set this up!
Thanks!
@ CopyInvite Link  Link expires inaday «


Searching users

screenElements:
Search Bar
Table

pageType: Application Application Application Application Application Application Application Application

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
User & Account Look-Up © B x
Search for your users or accounts to dive into their specific properties and event path. al Q Searchor enter a value
Ecommerce v User Account Selected Clear
United States
Manage Columns (5) v Filter By Events v 7 new events  Show Events Clear All  Select All

Time User Id Event Pla All Values
O (none)

in 6 days 2093822574425759745 End Session An| United States

in 6 days 2093822574425759745 Log In An O United Kingdom
[J Germany

in 6 days 2093822574425759745 Start Session Any . .
[ United Arab Emirates

in 6 days 2263896839638084609 End Session We
Cancel Apply

in 6 days 2263896839638084609 Log In We

in 6 days 2263896839638084609 Start Session We

in 5 days 2793041051820854273 End Session We

in 5 days 2793041051820854273 Complete Trial We

in 5 days 2793041051820854273 View Premium Landing Page We

in 5 days 2793041051820854273 Start Trial We

in 5 days 2793041051820854273 Click Start Trial We

in 5 days 2793041051820854273 Main Landing We Demo Guide e

in 5 days 2793041051820854273 Log In We
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
U Se r & Acco u nt LOO k_ U p @ where and where Select user property...
Search for your users or accounts to dive into their specific properties and event path.
’ e i Ampiitude User Property @
@ Carrier
Ecommerce v User Account Amplitude User Properties
@ Carrier - -
queries charts saved
Manage Columns (5) v | Filter By Events v 7 ® city

@ Country Carrier of the device.
line UserId E @ Device family
in 6 days 2093822574425759745 en @ DeviceID

@ Device type
in 6 days 2093822574425759745 Lo @ DMA
in 6 days 2093822574425759745 st @ EventID

@ 1D
in 6 days 2263896839638084609 End Session We
in 6 days 2263896839638084609 Log In We
in 6 days 2263896839638084609 Start Session We
in 5 days 2793041051820854273 End Session We
in 5 days 2793041051820854273 Complete Trial We
in 5 days 2793041051820854273 View Premium Landing Page We
in 5 days 2793041051820854273 Start Trial We
in 5 days 2793041051820854273 Click Start Trial We
in 5 days 2793041051820854273 Main Landing We Demo Guide e
in 5 days 2793041051820854273 Log In We
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
User & Account Look-Up © B x
Search for your users or accounts to dive into their specific properties and event path. and where
Ecommerce v User Account
USERS BASED ON YOUR SEARCH
1027389662758201345
Manage Columns (5) v | Filter By Events v 7 new events  Show Events United States Web

Time User Id Event Pla 1027912182436512769
United States Web

in 6 days 2093822574425759745 End Session An|
1050056533196475393

in 6 days 2093822574425759745 LogIn An| United States Web

in 6 days 2093822574425759745 Start Session An| 1058988158848630785
United States Web

in6d 2263896839638084609 End Sessi W

o days ndsession € 1074828217173201921
United States Android

in 6 days 2263896839638084609 Log In We
1096032254737859585

in 6 days 2263896839638084609 Start Session We United States Web

in 5 days 2793041051820854273 End Session We 1138614810132575233
United States Web

in 5 days 2793041051820854273 Complete Trial We
114399632591366145

in 5 days 2793041051820854273 View Premium Landing Page we United States Web

in 5 days 2793041051820854273 Start Trial we 1307555672286565377
United States i0S

in 5 days 2793041051820854273 Click Start Trial We
1417744661610092545
United States Web

in 5 days 2793041051820854273 Main Landing We Demo Guide e
1519848685197520897

in 5 days 2793041051820854273 Log In We  United States Web
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
User & Account Look-Up © B x
Search for your users or accounts to dive into their specific properties and event path. al Q Searchor enter a value
Ecommerce v User Account Clear All  Select All
O (none)
Manage Columns (5) v Filter By Events v 7 new events  Show Events (J United States
[J United Kingdom
Time User Id Event Pla O Germany
in 6 days 2093822574425759745 End Session An U United Arab Emirates
O Australia
in 6 days 2093822574425759745 Log In An O singapore
in 6 days 2093822574425759745 Start Session An O Japan
O Brazil
in 6 days 2263896839638084609 End Session We
Cancel Apply
in 6 days 2263896839638084609 Log In We
in 6 days 2263896839638084609 Start Session We
in 5 days 2793041051820854273 End Session We
in 5 days 2793041051820854273 Complete Trial We
in 5 days 2793041051820854273 View Premium Landing Page We
in 5 days 2793041051820854273 Start Trial We
in 5 days 2793041051820854273 Click Start Trial We
in 5 days 2793041051820854273 Main Landing We Demo Guide e
in 5 days 2793041051820854273 Log In We
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Q' Search users Advanced
U Se r & ACCO u nt LOO k- U p @ i Tip: you can search any User Property using this syntax: email=bob@xyz.com
Search for your users or accounts to dive into their specific properties and event path.
Ecommerce v User Account
No Search Results
Manage Columns (5) v Filter By Events v 7 new events  Show Events
Time User Id Event Pla
in 6 days 2093822574425759745 End Session An|
in 6 days 2093822574425759745 Log In An(
in 6 days 2093822574425759745 Start Session An|
in 6 days 2263896839638084609 End Session We
in 6 days 2263896839638084609 Log In We
in 6 days 2263896839638084609 Start Session We
in 5 days 2793041051820854273 End Session We
in 5 days 2793041051820854273 Complete Trial We
in 5 days 2793041051820854273 View Premium Landing Page We
in 5 days 2793041051820854273 Start Trial We
in 5 days 2793041051820854273 Click Start Trial We
in 5 days 2793041051820854273 Main Landing We Demo Guide e
in 5 days 2793041051820854273 Log In We
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
——
- ®
Sgg}goryﬁuésct)ggoﬂgtzd!\;%t?tléir !;)jecpﬁic properties and event path.
Ecommerce v User Account
Manage Columns (5) v Filter By Events v Live event updates C’

Time User Id Event Platform Country

in 5 days 5388287976856231937 End Session Android United States

in 5 days 5388287976856231937 View Reviews Android United States

in 5 days 3700656752678692865 End Session Android United States

in 5 days 3700656752678692865 Log In Android United States

in 5 days 3700656752678692865 Start Session Android United States

in 5 days 5388287976856231937 View Item Details Android United States

in 5 days 5388287976856231937 Search for Items Android United States

in 5 days 5096562759710426113 End Session Web United States

in 5 days 5096562759710426113 Log In Web United States

in 5 days 5096562759710426113 Start Session Web United States

in 5 days 5388287976856231937 Contact Seller Android United States

in 4 days 5388287976856231937 View Item Details Android United

in 4 days 5388287976856231937 Favorite Item Android United States
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK oJd Contact us I
Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
User & Account Look-Up ©
Search for your users or accounts to dive into their specific properties and event path.
Ecommerce v User Account
No Search Results
Manage Columns (5) v Filter By Events v 7 new events Show Events
Time User Id Event Pla
in 6 days 2093822574425759745 End Session An|
in 6 days 2093822574425759745 Log In An(
in 6 days 2093822574425759745 Start Session An|
in 6 days 2263896839638084609 End Session We
in 6 days 2263896839638084609 Log In We
in 6 days 2263896839638084609 Start Session We
in 5 days 2793041051820854273 End Session We
in 5 days 2793041051820854273 Complete Trial We
in 5 days 2793041051820854273 View Premium Landing Page We
in 5 days 2793041051820854273 Start Trial We
in 5 days 2793041051820854273 Click Start Trial We
in 5 days 2793041051820854273 Main Landing We Demo Guide e
in 5 days 2793041051820854273 Log In We
|Search Users
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment
—— Users who have the property(s) Back to Search
User & Account Look-Up © i [} X
Search for your users or accounts to dive into their specific properties and event path. and where
Ecommerce v User Account
Manage Columns (5) v | | Filter By Events v No Search Results
Time User Id Event Pla
in 6 days 2093822574425759745 End Session An|
in 6 days 2093822574425759745 Log In An(
in 6 days 2093822574425759745 Start Session An|
in 6 days 2263896839638084609 End Session We
in 6 days 2263896839638084609 Log In We
in 6 days 2263896839638084609 Start Session We
in 5 days 2793041051820854273 End Session We
in 5 days 2793041051820854273 Complete Trial We
in 5 days 2793041051820854273 View Premium Landing Page We
in 5 days 2793041051820854273 Start Trial We
in 5 days 2793041051820854273 Click Start Trial We
in 5 days 2793041051820854273 Main Landing We
in 5 days 2793041051820854273 Log In We


Managing columns

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
I
Search for your users or accounts to dive into their specific properties and event path.
Ecommerce v User Account Q Search users
Manage Columns (7) v Filter By Events v 43 new events Show Events Live event updates C’
Region
ser Id Event Platform Country Session Id Region
Session Id
User Id 347920554288293889 End Session Android United States 1692823521711 New York
[J Amplitude Id A ]
347920554288293889 Search for Items Android United States 1692823521711 New York
[ Device Carrier
J Device Family 189457444012681217 End Session Web United States 1692827904004 California
[0 start Version . I
)89457444012681217 Log In Web United States 1692827904004 California
[J Sever upload delay
(] Event Day of Week 189457444012681217 Start Session Web United States 1692827904004 California
U EventHourofDay  },79,0554288293889 Main Landing Android United States 1692823521711 New York
in 6 days 2093822574425759745 End Session Android United States 1692827255742 New York
in 6 days 2093822574425759745 Log In Android United States 1692827255742 New York
in 6 days 2093822574425759745 Start Session Android United States 1692827255742 New York
in 6 days 1819807619151923201 Main Landing i0s Brazil 1692821664111 Rio
in 6 days 4847920554288293889 Complete Profile Android United States 1692823521711 New York
in 6 days 1819807619151923201 Complete Profile i0s Brazil 1692821664111 Demo Guide o
in 6 days 4847920554288293889 Log In Android United States 1692823521711 New York
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
——
- ®
Sgg}goryﬁuésct)ggoﬂgtzd!\;%t?tléir !;)jecpﬁic properties and event path.
Ecommerce v User Account
Manage Columns (5) v Filter By Events v Live event updates C’

Time User Id Event Platform Country

in 5 days 5388287976856231937 End Session Android United States

in 5 days 5388287976856231937 View Reviews Android United States

in 5 days 3700656752678692865 End Session Android United States

in 5 days 3700656752678692865 Log In Android United States

in 5 days 3700656752678692865 Start Session Android United States

in 5 days 5388287976856231937 View Item Details Android United States

in 5 days 5388287976856231937 Search for Items Android United States

in 5 days 5096562759710426113 End Session Web United States

in 5 days 5096562759710426113 Log In Web United States

in 5 days 5096562759710426113 Start Session Web United States

in 5 days 5388287976856231937 Contact Seller Android United States

in 4 days 5388287976856231937 View Item Details Android United

in 4 days 5388287976856231937 Favorite Item Android United States
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
I
Search for your users or accounts to dive into their specific properties and event path.
Manage Columns (5) v Filter By Events v Live event updates C’
Selected Clear User Id Event Platform Country
Time
4847920554288293889 End Session Android United States
User Id
Event 4847920554288293889 Search for Items Android United States
Platform
5089457444012681217 End Session Web United States
Country
Clear All  Select All 5089457444012681217 Log In Web United States
All Values
5089457444012681217 Start Session Web United States
Time
Event 4847920554288293889 Main Landing Android United States
in 6 days 2093822574425759745 End Session Android United States
in 6 days 2093822574425759745 Log In Android United States
in 6 days 2093822574425759745 Start Session Android United States
in 6 days 1819807619151923201 Main Landing i0s Brazil
in 6 days 4847920554288293889 Complete Profile Android United States
in 6 days 1819807619151923201 Complete Profile i0s Brazil Demo Guide e
in 6 days 4847920554288293889 Log In Android United States
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
I
Search for your users or accounts to dive into their specific properties and event path.
Manage Columns (5) v Filter By Events v Live event updates C’
Regi
) Region User Id Event Platform Country
[ SessionId
User Id 4847920554288293889 End Session Android United States
) Amplitude Id 4847920554288293889 Search for Items Android United States
[ Device Carrier
O Device Family 5089457444012681217 End Session Web United States
0 start Version 5089457444012681217 LogIn Web United States
[J Sever upload delay
() Event Day of Week 5089457444012681217 Start Session Web United States
OJ Event Hour of Day 4847920554288293889 Main Landing Android United States
in 6 days 2093822574425759745 End Session Android United States
in 6 days 2093822574425759745 Log In Android United States
in 6 days 2093822574425759745 Start Session Android United States
in 6 days 1819807619151923201 Main Landing i0s Brazil
in 6 days 4847920554288293889 Complete Profile Android United States
in 6 days 1819807619151923201 Complete Profile i0s Brazil Demo Guide e
in 6 days 4847920554288293889 Log In Android United States
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
——
- ®
Sgg}goryﬁuésct)ggoﬂgtzd!\;%t?tléir !;)jecpﬁic properties and event path.
Ecommerce v User Account
Manage Columns (5) v Filter By Events v Live event updates C’

Time User Id Event Platform Country

in 6 days 4847920554288293889 End Session Android United States

in 6 days 4847920554288293889 Search for Items Android United States

in 6 days 5089457444012681217 End Session Web United States

in 6 days 5089457444012681217 Log In Web United States

in 6 days 5089457444012681217 Start Session Web United States

in 6 days 4847920554288293889 Main Landing Android United States

in 6 days 2093822574425759745 End Session Android United States

in 6 days 2093822574425759745 Log In Android United States

in 6 days 2093822574425759745 Start Session Android United States

in 6 days 4847920554288293889 Complete Profile Android United States

in 6 days 4847920554288293889 Log In Android United States

in 6 days 4847920554288293889 Start Session Android United

in 6 days 8395618371592469505 Log In Android United States
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
——
- ®
Sgg}goryﬁuésct)ggoﬂgtzd!\;%t?tléir !;)jecpﬁic properties and event path.
Ecommerce v User Account Q Search accounts (by All groups, case sensitive)
Filter By Events v Live event updates C’
Time Group Name (Group Type) Event Platform Country
in 6 days - End Session Android United States
in 6 days - Search for Items Android United States
in 6 days - End Session Web United States
in 6 days - Log In Web United States
in 6 days - Start Session Web United States
in 6 days - Main Landing Android United States
in 6 days - End Session Android United States
in 6 days - Log In Android United States
in 6 days - Start Session Android United States
in 6 days - Main Landing i0s Brazil
in 6 days - Complete Profile Android United States
in 6 days - Complete Profile i0s Brazil
in 6 days - Log In Android United States
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
————
Ecommerce v User Account
in 5 days - Start Session Android United States
in 5 days - End Session i0s Germany
in 5 days - Complete Profile i0s Germany
in 5 days - Main Landing Web Brazil
in 5 days - Log In i0s Germany
in 5 days - Start Session i0s Germany
in 5 days - Complete Profile Web Brazil
in 5 days - Start Session Web United States
in 5 days - Main Landing Android United States
in 5 days - Log In Web Brazil
in 5 days - Start Session Web Brazil
in 5 days - Main Landing Android United States
in 5 days - End Session Android United States
in 5 days - Log In i0s Brazil
in 5 days - End Session Web United States
in 5 days - Log In Web United Staita
in 5 days - Start Session Web United State


Tag as template

pageType: Application Application Application Application

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe v More v = [@ Copyas Notebook  (® Add Content v
Funnel AnalySiS (CO py) ‘ﬁ{ Tag as Template You can ediF « Owned by Jane Doe
Last edited a few seconds ago
Enter dashboard description. This can help others better understand your dashboard. Refresh Dashboard
Enter TV Mode
Filter By: = Daily v Default mm Default Project Timezone v Add Filter »« Save Parameters
Subscribe NEW
Export >
Funnel Conversion What is the conversion rate of this funnel? Y1
A funnel represents the journey a user takes Last 30 Days Download Chart CSVs ¥ Funnel Conversion
in a product from a starting point to an
. . Move
ending point.
100%
A business is usually operating around ’ Add Shortcut
optimizing key conversion funnels around
signup, monetization events, and other key ., Copy
flows. 75%
Comment
Amplitude allows you to understand not
only the proportion of users completing key 50%
flows, but also how that rate is changing
over time, how long it takes users to
convert, and other critical insights. 25%
For more, read Amplitude's guide to using
funnel analysis. 0%
Play Song or Video Purchase Song or Video
@ All Users
Demo Guide e
How is the conversion rate changing over time? Y1 How long does it take users to convert? Y1 How many times do users perform the starting eventb.... Y 1
Last 30 Davs % Conversion Over Time Last 30 Davs % Time to Convert Last 30 Davs % Funnel Analvsis
|Templatize Dashboard

Instructions
Set up your dashboard by using the below dropdowns to select the
values relevant to your use case. Any changes you make will not
impact the default template settings.

Discoverability

This dashboard can be found by Amplitude users in your

organization through browsing and searching.

Remove Tag Cancel
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe v More v = [@ Copyas Notebook  (® Add Content v
A You can edit « Owned by Jane Doe
Funnel Analysi
u € a ys S (Co py) Last edited a few seconds ago
Enter dashboard description. This can help others better understand your dashboard.
Filter By: = Daily v Default | 7d | 30d | 60d | 90d | B v Default Project Timezone v Add Filter
Funnel Conversion What is the conversion rate of this funnel? Y1
A funnel represents the journey a user takes Last 30 Days ¥ Funnel Conversion
in a product from a starting point to an
ending point.
. . . 100%
A business is usually operating around
optimizing key conversion funnels around
signup, monetization events, and other key
75%
flows.
Amplitude allows you to understand not
only the proportion of users completing key 50%
flows, but also how that rate is changing
over time, how long it takes users to
convert, and other critical insights. 25%
For more, read Amplitude's guide to using
funnel analysis. 0%
Play Song or Video Purchase Song or Video
@ All Users
Demo Guide e
How is the conversion rate changing over time? Y1 How long does it take users to convert? Y1 How many times do users perform the starting eventb.... Y 1
Last 30 Davs % Conversion Over Time Last 30 Davs % Time to Convert Last 30 Davs % Funnel Analvsis
|Templatize Dashboard
Instructions
Update the filters to use this dashboard.
Discoverability
This dashboard can be found by Amplitude users in your
organization through browsing and searching.
Remove Tag Cancel


Export a chart

screenPatterns:
Action Option
Import & Export

screenKeywords:
ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Open Notebook View
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
v Events & Event Explorer Computed 13 minago ) Refresh Export © > mm 53 since Jun 1, 2023 v
A Complete Purchase : Copy
800%
+Filterby  + Group-by Set Alert
B 600% c .
5 ommen
B Checkout : &
@
3
2
+Filterby  + Group-by S 400% Opt out of new look
o
5 Revert
+ Add Event % 200% /\
@ )\ \ A e
N A ‘ AWANEEE AL /
o N \ /N v /e
£ 0% ) B / 7/ N7 "\ \ / X \/
v Measured as © Advanced v \os N\ \_/ \ = \_/ — W \/ &/ \
Event Totals Active % -200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
Average Frequenc Properties v
g a y P @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
v Segmentby Anyv Usersv (© Saved v
Segment Event Thu, Jun1 Fri, Jun 2 Sat, Jun 3 Sun, Jun 4 Mon, Jun 5 Tue, Jun 6
1 v AllUsers H
@ AllUsers Complete Purchase 3.94% 3.63% -64.7% -58.5% -3.43% 177%
+Filterby  + Performed
@ New Users Complete Purchase 0.00% 0.00% 0.00% 0.00% 0.00% 0.00%
i v New Users X i
@ AllUsers Checkout 12.8% 8.63% -64.0% -47.2% -6.31% 163%
whodid @ New User Y X
0 New Users Checkout 0.00% 0.00% 0.00% 0.00% il Demo Guide e
Revert to Legacy Controls :
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Open Notebook View
Anomaly + Forecast Comparing to previous month v b m X A~ Line chart v
v Events & Event Explorer Computed 13 minago ) Refresh Export as PNG Export © > mm 5 Since Jun 1, 2023 v
A Complete Purchase : Export as PDF Copy
800%
+Filterby  + Group-by Export CSV Set Alert
B 600% c .
5 ommen
B Checkout : &
@
3
2
+Filterby  + Group-by S 400% Opt out of new look
o
5 Revert
+ Add Event % 200% /\
2 —\ \ N Lt
N A ‘ AWANEEE AL /
o N \ /N v /e
£ 0% 7 B 7 7/ N\ \ / X \/
v Measured as © Advanced v ./ AN \_/ = = \_/ -/ \\ ' N/ S
Event Totals Active % -200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
Average Frequenc Properties v
g a y P @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
v Segmentby Anyv Usersv (© Saved v
Segment Event Thu, Jun1 Fri, Jun 2 Sat, Jun 3 Sun, Jun 4 Mon, Jun 5 Tue, Jun 6
1 v AllUsers :
@ AllUsers Complete Purchase 3.94% 3.63% -64.7% -58.5% -3.43% 177%
+Filterby  + Performed
@ New Users Complete Purchase 0.00% 0.00% 0.00% 0.00% 0.00% 0.00%
i v New Users X i
@ AllUsers Checkout 12.8% 8.63% -64.0% -47.2% -6.31% 163%
whodid @ New User Y X
0 New Users Checkout 0.00% 0.00% 0.00% 0.00% il Demo Guide e
Revert to Legacy Controls :
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
v Events & Event Explorer Computed 7 minago ) Refresh Daily v mm 53 since Jun 1, 2023 v
A Complete Purchase :
800%
+Filterby  + Group-by
B 600%
B Checkout : &
3
2 200%
+Filter by  + Group-by 3
o
5
+ Add Event th, 200% ,\ ’. N
@ - \\ | N o *
15 \ \ | .
: AA‘AL\‘IN"I/
S ) \ A A\ N\ AN NS
v Measuredas © Advanced v ./ N\ \_/ N’ =~ \_/ - O - ¥ \
Event Totals Active % -200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
Average Frequenc Properties v
g a v P @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
v Segmentby Anyv Usersv (© Saved v
Segment Event on, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
1 v AllUsers H
@ AllUsers Complete Purchase 5.05% 100% 170% 15.8% 24.8%
+Filterby  + Performed
@ New Users Complete Purchase 9.8% 80.1% 262% 137% 37.6%
i v New Users X i
@ AllUsers Checkout L7.7% 56.3% 150% 55.6% 21.8%
whodid @ New User Y X
' New Users Checkout 18.0% 22.6% 205% 229% Demo Guide e
Revert to Legacy Controls :


Pinning an item

hotspotType: Hover

screenPatterns:
Bookmarks & Collections
Favorite & Pin

screenKeywords:
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
All Spaces / Jane Doe ’
Jane Doe
Browse and organize your personal content.
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(O S What paths do users take to get to your ending event? , 4 days ago 0 I
[J ¥ How many times do users perform the starting event before converting? , 4 days ago 0
[J ¥ Whatis the conversion rate of this funnel? , 4 days ago 0
[J ¥ How long does it take users to convert? , 4 days ago 0
[J ¥ How is the conversion rate changing over time? , 4 days ago 0
(J B8 Funnel Analysis (Copy) , 4 days ago 0
(@
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
All Spaces / Jane Doe ’
No Chart Preview Available
Pinned a few seconds ago * 0 views
L ¥
ALL CONTENT
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(J S What paths do users take to get to your ending event? , 4 days ago 0 b 3
[J ¥ How many times do users perform the starting event before converting? , 4 days ago 0
[J ¥ Whatis the conversion rate of this funnel? , 4 days ago 0
[J ¥ How long does it take users to convert? , 4 days ago 0
[J ¥ How is the conversion rate changing over time? , 4 days ago 0
(J B8 Funnel Analysis (Copy) , 4 days ago 0
(o)
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
All Spaces / Jane Doe '
Jane Doe
Browse and organize your personal content.
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(J S What paths do users take to get to your ending event? ' 4 days ago 0
[J ¥ How many times do users perform the starting event before converting? ' 4 days ago 0
[J ¥ Whatis the conversion rate of this funnel? ' 4 days ago 0
[J ¥ How long does it take users to convert? ' 4 days ago 0
[J ¥ How is the conversion rate changing over time? ' 4 days ago 0
(J B8 Funnel Analysis (Copy) ' 4 days ago 0
(@
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
All Spaces / Jane Doe '
Jane Doe
Browse and organize your personal content.
PINNED CONTENT
SC What paths do users take to get to
your ending event?
No Chart Preview Available
Pinned a few seconds ago * 0 views
® x
ALL CONTENT
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(J S What paths do users take to get to your ending event? ' 4 days ago 0 b 3
[J ¥ How many times do users perform the starting event before converting? ' 4 days ago 0
[J ¥ Whatis the conversion rate of this funnel? ' 4 days ago 0
[J ¥ How long does it take users to convert? ' 4 days ago 0 @
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
All Spaces / Jane Doe '
Jane Doe
Browse and organize your personal content.
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(O S What paths do users take to get to your ending event? ' 4 days ago 0 I
[J ¥ How many times do users perform the starting event before converting? ' 4 days ago 0 “
[J ¥ Whatis the conversion rate of this funnel? ' 4 days ago 0
[J ¥ How long does it take users to convert? ' 4 days ago 0
[J ¥ How is the conversion rate changing over time? ' 4 days ago 0
(J B8 Funnel Analysis (Copy) ' 4 days ago 0
(@
|Add Description
This item does not have a description. Help members understand the
context of this item.
Chart: What paths do users take to get to your ending event?
To monitor user paths
Cancel
|Add Description
This item does not have a description. Help members understand the
context of this item.
Chart: What paths do users take to get to your ending event?
Enter description...
Cancel
|@ Recent v Favorites v Spaces v User Look-Up ghorts & Audience perimen Data Q N & @ =
All Spaces / Jane Doe ,
Jane Doe
Browse and organize your personal content.
PINNED CONTENT
SC What paths do users take to get to
your ending event?
C
Pinned a few seconds ago * 0 views
L ¥
ALL CONTENT
Q' Search in space Y Filter v
Showing 7 Items (3 New Folder
[J NAME EDITORS LAST MODIFIED VIEWS
O [ Archive - 0
(J S What paths do users take to get to your ending event? , 4 days ago 0 b 3
[J ¥ How many times do users perform the starting event before converting? , 4 days ago 0
[J ¥ Whatis the conversion rate of this funnel? , 4 days ago 0
[J ¥ How long does it take users to convert? , 4 days ago 0 @


Adding an image

actions:
Adding & Creating
Uploading & Downloading

pageType: Application Application Application Application Application Application

screenKeywords:
ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
@ Let's continue to monitor this

Engagement: How often are users performing your event?

Daily, Last 30 Days

500k

400k

300k

200k

100k

I ——— [
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times  eee
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User |n5|ght5 Last edited a few seconds ago
HH Upload an image . . .
@ [ Up g Let's continue to monitor this
Engagement: How often are users performing your event?
Daily, Last 30 Days
600k
400k
200k I
0 e, [ | -
IS A - -4
»‘\& & E EEEEEEE
La P NN S M M N M
& WY
N
o Choose image @ 1ltime @ 2times @ 3times @ 4times e
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User |n5|ght5 Last edited a few seconds ago
Upload an image . . .
[ Up 8 Let's continue to monitor this
Engagement: How often are users performing your event?
Daily, Last 30 Days
600k
400k
200k I
0 e, N -
IS A - -4
»‘\& & E v»&\@ %»&\@ & Q»&\@ Q»&\@ Q-&\& Q-&\&
v S S S
N
@ 1ltme @ 2times @ 3times @ 4times oo
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
@ Let's continue to monitor this
[ Existing chart A
ten are users performing your event?
2, Existing cohort
[/ Create new chart
T Text
T Header
[& Image
¥ Video
100k
I ——— [
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times  eee
Demo Guide e
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Let's continue to monitor this

Engagement: How often are users performing your event?

Daily, Last 30 Days

500k

400k

300k

200k

100k

I ——— [
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times  eee
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins'ghts Last edited a few seconds ago
4‘\ A e Let's continue to monitor this
N % Engagement: How often are users performing your event?
” ANYWHERE = Daily, Last 30 Days
— &
ina 14 [ ; 3 600k
) - |
\ 4 | B
. ¥ | Y
. L —
S e —— 400k
X -
- > 200k
0 e, [ | -
. < z‘) z‘) z‘) z‘) Qf’ Q)‘o Q)‘o Qf: Qf’
& EE S EE
La P NN S M M N M
G NSNS
O w7
@ 1ltme @ 2times @ 3times @ 4times oo
Demo Guide e


Preview an alert

screenPatterns:
Other Content
Charts

pageType: Application Application

screenKeywords:
< Back
With this condition 308 anomalies have triggered since June 1, 2023
..is below this specific value 100
800%
L]
- 600%
Q
&
w
3 o
= 400%
o o .
. i A
200% X °
& . =% S n (A * e .,‘o )
OO L - O AR o SR8
7 (WA 2 Pd /4 M2 AR AT (R T
< 0% (€EEE(EEEE(Eaaa(Eaaa(Eaaaaaae(eaeaqeeeeaceeecce :'of o110 I...:/'.. o'y :
.o ve® '«..’ o> O] e <o Yo ""' ote .
-200%
Jun 12 Jun 26 Jul10 Jul 24 Aug 7
Demo Guide e
|Set Alert X
Receive email alerts when the chart shows unexpected changes in value
Name

Alert: "Complete Purchase vs Checkout - Unique Users (All Users vs New Users)"
Conditions
() Smart®
@ Custom

The alert triggers when the current value
..is below this specific value 100 Preview
Add Condition Add Confidence Condition

Alert Frequency
The alert will be checked daily.
Who should be notified?

Jane Doe X Enter a name or email

Cancel BEEFAET]
Demo Guide o


Personal settings

screenPatterns:
Settings & Preferences
My Account & Profile
Settings & Preferences

screenKeywords:
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment  Data Q A & O =
Organization settings PrOﬁ le
General
Plans & Billing
) Profile Information /'
Projects
Members :I\l:r?;eD:oe
SSO Settings F Pronouns:
Access & Discovery -
/° Edit Avatar .
Content Access Email:
jdoe.mobbin@gmail.com
User Privacy Notifications
Job Title:
Labs _
Team:
Personal settings Product
Profile Bio:
Notifications Rol
ole
Year In Review Admin of JD Mobbin Design
Profile Settings
Select Preferred Language v
Change Password
Slack Integration s Connect To Slack
* Q@
Stay connected with Amplitude on Slack
|Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings
Slack Integration
General
Plans & Billing
Projects
Members
SSO Settings <
Access & Discovery
Content Access
User Privacy Notifications Amplitude APP 5:41 pm Amplitude APP 5:26 PM
@Janaki Vivrekar mentioned you in a comment on a chart. Chart Preview: https:/analytics.amplitude.com/demo/chart/162gzix
Labs Play Song group by Play Song group by
Dlan | didn't realize Rock was the most popular genre. @abbie you should take a -
look at this to inform our genre playlist experiment. N N A T o
Personal settings e sl e e e
Notifications
Year In Review
Site Settings ©
Always Expand Chart Controls Disabled C’
If disabled, chart controls will sometimes be collapsed to direct focus to query results
Always Remove Leading Spaces From Export Disabled C’
If disabled, CSV exports will include a leading space to prevent injected code execution
Always Include Aliased Users In Export Disabled C’
If enabled, cohort CSV exports will include any aliasing users as new rows under the original cohort users. See the for additional details.
Chart Color Series Default v
Customize the color pallette used when assigning colors to series in a chart.
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings Py .
& & Notifications
General
Plans & Billin
& Updates about me
Projects EMAIL  SLACK
Members O Someone adds me as an editor to their content
SSO Settings & Someone shares content with me
Access & Discovery Someone adds my content to a dashboard or notebook
Content Access Someone has requested edit access to your chart
User Privacy Notifications . .
Updates about my organization
Labs
EMAIL SLACK
Someone changes the discoverability of my organization
Personal settlngs Someone requests access to my organization
Profile Someone with a matching email domain discovers and automatically joins my organization
Notifications Someone with a matching email domain joins a separate organization in Amplitude
Year In Review .
Updates about my experiments
EMAIL SLACK
Updates about my spaces
EMAIL SLACK
Content is added to a space I belong to:
You haven't joined any spaces, but we'll send you updates once you do
Email Preferences
Unsubscribe from all email notifications
We will still send you important updates on your content or account @
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A € O
Organization settings
1 QUICk actions Personal settings
| | i0J Start from a template [0 Explore Amplitude demo +2, Invite a new user [ Explore demo
Log out
Go To Your Space
) What’s happening in your product JD Mobbin v ®
A Overview Q3
{ Recents
Daily Active Users (DAU) Breakdown of users by New users Average session length
Y¢ Favorites country
0 0% 0 0%
* Draft i
s Draits yesterday from Jul19 [Amplitude] al yesterday from Jul 19
Country Users
JUMP BACK IN Singapore 4 0 m
4 4 .
OF Funnel Analysis (Copy) Avg Session Length
3 : 3 :
g2 : g2 :
c . c .
2 . 2 .
0 e, 0 e,
Jul 31 Aug 14 Jul 31 Aug 14
Product KPIs V2 Session Engagement
Go To Template - User Activity Go To Template - User Activity Go To Template - Go To Template -
Realtime event stream ® Realtime users by location ® Realtime users ®
Event Time user @
[Amplitude] Star Today, ...  70439738... @


Adding a note

screenPatterns:
Add & Create
Multi-Column Layout

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
E . 2 /" Untitled Notebook v  [4 X
commerce Vv A Segmentation v @ < JaneDoe ~ ﬁ More v v/ Saved & Sha
Add chart to notebook
You can edit - Owned by Jane Doe @
Complete Purchase vs Checkout - /
0 Dashboards « 0 Notebooks
- Unique Users (All Users vs New *
v Events & Event Explorer
Users) Complete Purchase vs
A Complete Purchase : Checkout - Unique Users (All
This chart is to view the number of completed purchases vs users who checkout
+Filterby  + Group-by
Anomaly + Forecast ~ Line chart v
B Checkout H
Comparing to previous month v X X Daily v
+Filterby  + Group-b Good to take note of anc
Cancel
+ Add Event
750%
@
3
2
> 0
v Measured as © Advanced v S 500%
£§38
] . O 250% :
Event Totals Active % e ° A ‘\l\ A & [
1) \ a f \'/) \ .
. e N A NNAN A /A\/\q /,s\/,,\,
Average Frequency Properties v S 7 N \_/ G 7 _/ - \ <
X
-250%
fx Formula Jun 12 Jun 26 Jul10 Jul 24 Aug 7
@ All User... Purchase @ New Us... Purchase @ All Users, Checkout @ New Us... Checkout
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H ® [ ExportCsv
Breakdown by: = Top 4 (Default) v (@
+Filterby  + Performed Q
2 v New Users : Segment Event ug 16 Thu, Aug 17 Row Average v
whodid @ New User . .
@ AllUsers Complete Purchase 15.8% 24.8% Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 137% 37.6%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
E . 2 /" Untitled Notebook v  [4 X
commerce Vv 2~ Segmentation v @ < JaneDoe ~ ﬁ More v v/ Saved & Sha
Add chart to notebook
You can edit - Owned by Jane Doe @
Complete Purchase vs Checkout - /
0 Dashboards « 0 Notebooks
- Unique Users (All Users vs New *
v Events & Event Explorer
Users) Complete Purchase vs
A Complete Purchase : Checkout - Unique Users (All
This chart is to view the number of completed purchases vs users who checkout
+Filterby  + Group-by
Anomaly + Forecast ~ Line chart v
B Checkout H
Comparing to previous month v X X Daily v
+ Filter b + Group-b
+ Add Event Add Note  Remove
750%
@
3
2
> 0
v Measured as © Advanced v S 500%
£§38
] . O 250% :
Event Totals Active % e ° A ‘\l\ A & [
o0 \ B f 7 \ .
. ® L N A SN ANAN A “\MA/,\,
Average Frequency Properties v S 7 N \_/ G 7 _/ - <
X
-250%
fx Formula Jun 12 Jun 26 Jul10 Jul 24 Aug 7
@ All User... Purchase @ New Us... Purchase @ All Users, Checkout @ New Us... Checkout
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H ® [ ExportCsv
Breakdown by: = Top 4 (Default) v (@
+Filterby  + Performed Q
2 v New Users : Segment Event ug 16 Thu, Aug 17 Row Average v
whodid @ New User . .
@ AllUsers Complete Purchase 15.8% 24.8% Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 137% 37.6%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
E . 2 /" Untitled Notebook v  [4 X
commerce Vv A Segmentation v @ < JaneDoe ~ ﬁ More v v/ Saved & Sha
Add chart to notebook
You can edit - Owned by Jane Doe @
Complete Purchase vs Checkout - /
0 Dashboards « 0 Notebooks
- Unique Users (All Users vs New *
v Events & Event Explorer
Users) Complete Purchase vs
A Complete Purchase : Checkout - Unique Users (All
This chart is to view the number of completed purchases vs users who checkout
+Filterby  + Group-by
Anomaly + Forecast ~ Line chart v
B Checkout H
Comparing to previous month v X X Daily v
+ Filter b + Group-b
Cancel
+ Add Event
750%
@
3
2
> 0
v Measured as © Advanced v S 500%
£§38
] . O 250% :
Event Totals Active % e ° A ‘\l\ A & [
o0 ) — f( U \ A
. e N A NNAN A /A\/\q/fs\/,&,
Average Frequency Properties v S 7 N \_/ G 7 _/ - \ <
X
-250%
fx Formula Jun 12 Jun 26 Jul10 Jul 24 Aug 7
@ All User... Purchase @ New Us... Purchase @ All Users, Checkout @ New Us... Checkout
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H ® [ ExportCsv
Breakdown by: = Top 4 (Default) v (@
+Filterby  + Performed Q
2 v New Users : Segment Event ug 16 Thu, Aug 17 Row Average v
whodid @ New User . .
@ AllUsers Complete Purchase 15.8% 24.8% Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 137% 37.6%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
. 2 /" Untitled Notebook v  [4 X
Ecommerce v 2~ Segmentation v @ < JaneDoe ~ ﬁ More v v/ Saved & Sha
Add chart to notebook
You can edit - Owned by Jane Doe @
Complete Purchase vs Checkout - /
0 Dashboards « 0 Notebooks
- Unique Users (All Users vs New *
v Events & Event Explorer
Users) Complete Purchase vs
A Complete Purchase : Checkout - Unique Users (All
This chart is to view the number of completed purchases vs users who checkout
+Filterby  + Group-by
Anomaly + Forecast ~ Line chart v
B Checkout H
Comparing to previous month v X X Daily v
+Filterby  + Group-by
ompute minago  § mm B Sincevun Good to take note of and share with
+ Add Event team
750% Edit Note =~ Remove
g
2
3 500%
v Measured as ® Advanced v 2 i
£§38
. . S = 250% ) :
Uniques Event Totals Active % 8 A 1 l\ A A [
o0 N 2 f( U \ A
)
- | e NANANASNM ATWS
verage Frequency Properties v S 7 N \_/ G 7 _/ - <
X
-250%
fx Formula Jun 12 Jun 26 Jul10 Jul 24 Aug 7
@ All User... Purchase @ New Us... Purchase @ All Users, Checkout @ New Us... Checkout
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H ® [ ExportCsv
Breakdown by: = Top 4 (Default) v (@
+Filterby  + Performed Q
2 v New Users : Segment Event ug 16 Thu, Aug 17 Row Average v
whodid @ New User . .
@ AllUsers Complete Purchase 15.8% 24.8% Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 137% 37.6%


Copying URL

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < JaneDoe v More v Addto . Saved
A You can edit -mne Doe
Complete Purchase vs Checkout - Unique Users (All
* 0 Dashboards « 0 Notebooks
— Users vs New Users)
v Events & Event Explorer
This chart is to view the number of completed purchases vs users who checkout
A Complete Purchase :
+Filterby  + Group-by Anomaly + Forecast Comparing to previous month v A X ~ Line chart v
B Checkout H
+ Filter by  + Group-by 800%
+ Add Event -
3 600%
3
o
w
3
2 400%
v Measured as O Advanced v °
o
5
Event Totals Active % T 200% | o
& \ —\ \ ’ A N :"
c ) \ f 3
Average Frequency Properties v 2 / \ ‘ N ) N \ / B
S o N/ \ s Al // /SN NS
s \/ >~ \ / A N N/ 7 A\ . 4 .
fx Formula
-200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
v Segment by Any v Users v ® Saved v @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
1 v AllUsers H
+Filterby  + Performed Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
2 v New Users H Segment Event Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
who did @) New User @ AllUsers Complete Purchase -5.05% 100% 170% 15.8% .
Demo Guide
Revert to Legacy Controls :
@ New Users Complete Purchase 19.8% 80.1% 262% 137% 37.6%
|You are currently in the Amplitude Demo. or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < JaneDoe v More v Addto . Saved
A You can edit - Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs /
0 Dashboards « 0 Notebooks
~ New r
v Events & Event Explorer e Use s)
This chart is to view the number of completed purchases vs users who checkout
A Complete Purchase H
+Filterby  + Group-by Anomaly + Forecast Comparing to previous month v A X ~ Line chart v
B Checkout H
+ Filter by  + Group-by 800%
+ Add Event -
3 600%
3
o
w
3
2 400%
v Measured as O Advanced v °
o
5
Event Totals Active % T 200% )\ |
g" \ = \ | ’ A N o
Average Frequency Properties v g \ / \ ‘ ‘ Al N \ / B
5 \ \ /s AW/ AW/ AN AN/
° \/ N\ N\ _/ =’ = \_/ \—/ QO L N/ ,
fx Formula
-200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
v Segment by Any v Users v ® Saved v @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
1 v AllUsers H
+Filterby  + Performed Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
2 v New Users H Segment Event Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
who did @) New User @ AllUsers Complete Purchase -5.05% 100% 170% 15.8% .
Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 19.8% 80.1% 262% 137% 37.6%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Success. Chart URL copied to your clipboard. This is shareable with other Amplitude users in your company. X
@ Recent v Favorites v Spaces v User Look-Up ohorts & Audiences xperiment Ak QO A 3 @ @&
Ecommerce v ~” Segmentation v () < JaneDoe v More v Addto . Saved
A You can edit - Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All /
* 0 Dashboards « 0 Notebooks
— Users vs New Users)
v Events & Event Explorer
This chart is to view the number of completed purchases vs users who checkout
A Complete Purchase :
+Filterby  + Group-by Anomaly + Forecast Comparing to previous month v A X ~ Line chart v
B Checkout H
+ Filter by  + Group-by 800%
+ Add Event -
3 600%
3
o
w
3
2 400%
v Measured as © Advanced v °
o
5
Event Totals Active % T 200% | o
& \ = \ / ’ A N
Average Frequency Properties v g ‘ A \ / ‘\ ‘ k /A\“\ A , \ / B
S b - VaR\Va N
e 0% ‘ / N %
xR N\ \_/ A N~ \_/ -/ V/ _ N \/
fx Formula
-200%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
v Segment by Any v Users v ® Saved v @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
1 v AllUsers H
+Filterby  + Performed Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
2 v New Users H Segment Event Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
who did @) New User @ AllUsers Complete Purchase -5.05% 100% 170% 15.8% .
Demo Guide e
Revert to Legacy Controls :
@ New Users Complete Purchase 19.8% 80.1% 262% 137% 37.6%


Adding an existing chart

screenElements:
Drawer
Stacked List

screenPatterns:
Charts
Add & Create

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe v More v = [@ Copyas Notebook  (® Add Content v
A You can edit « Owned by Jane Doe
Funnel Analysi
u € a ys S (Co py) Last edited a few seconds ago
Enter dashboard description. This can help others better understand your dashboard.
Filter By: = Daily v Default | 7d | 30d | 60d | 90d | B v Default Project Timezone v Add Filter
Funnel Conversion What is the conversion rate of this funnel? Y1
A funnel represents the journey a user takes Last 30 Days ¥ Funnel Conversion
in a product from a starting point to an
ending point.
. . . 100%
A business is usually operating around
optimizing key conversion funnels around
signup, monetization events, and other key
75%
flows.
Amplitude allows you to understand not
only the proportion of users completing key 50%
flows, but also how that rate is changing
over time, how long it takes users to
convert, and other critical insights. 25%
For more, read Amplitude's guide to using
funnel analysis. 0%
Play Song or Video Purchase Song or Video
@ All Users
Demo Guide e
How is the conversion rate changing over time? Y1 How long does it take users to convert? Y1 How many times do users perform the starting eventb.... Y 1
Last 30 Davs % Conversion Over Time Last 30 Davs % Time to Convert Last 30 Davs % Funnel Analvsis
|.
Add to Dashboard Filter by
@ Recent v Favorites v Spaces v Ust
Q Search Content
[T Archived
el « [] Official content
[] Template
Funnel AnalySIS (Co py) Last edited date v 2,007 results found in 13ms
Last edited
Enter dashboard description. This can help others better understanc w How is the conversion rate changing over time? .
3 ; i ; Any time v
ane Doe « Media Streaming - Analytics « Jane Doe
afew seconds ago « O views
Filter By: Daily v || Default | 7d | 30d | 60d | 90d | & v Space
1 7 Howmany times do users perform the starting event before converting?
Jane Doe « Media Streaming - Analytics « Jane Doe Filter by space
afew seconds ago « O views
Funnel Conversion What? w7 Whatis the conversion rate of this funnel? Editor
A funnel represents the journey a user takes Last 30 Jane Doe « Media Streaming - Analytics « Jane Doe Filter by editor
in a product from a starting point to an afew seconds ago « O views
ending point.
p— < What paths do users take to get to your ending event? Project
A business is usually operating around Jane Doe « Media Streaming - Analytics « Jane Doe : :
optimizing key conversion funnels around afew secondsago + 0 views Filter by project
signup, monetization events, and other key .
flows. s v How long does it take users to convert?
Jane Doe * Media Streaming - Analytics « Jane Doe
Amplitude allows you to understand not afewsecondsago - 0views
only the proportion of users completing key 50%
flows, but also how that rate is changing s Complete Purchase vs Checkout - Unique Users (All Users vs New Users)
over time, how long it takes users to Jane Doe » Ecommerce « Jane Doe
. N 4 minutes ago + 0 views
convert, and other critical insights. 25%
For more, read Amplitude's guide to using A Howmany ur?ique customers have visited your shop in the last 30 days?
funnel analysis. . pawel.kordynskl@.delvedeeper.com « Ecommerce
0% 2 hours ago » 0 views
f How are customers finding your store?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago = 0 views
w7 How many items did users view before purchase?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago » 0 views Demo Guide e
How is the conversion rate changing over time? Y
A Howmany purchases are made weekly?
Last 30 Davs % Conversion Over Ti I T T T
|R |
Add to Dashboard Filter by
@ Recent v Favorites v Spaces v Ust
Q Search Content
[T Archived
el « [] Official content
[] Template
Funnel AnalySIS (Co py) Last edited date v 2,007 results found in 13ms
Last edited
Enter dashboard description. This can help others better understanc v How is the conversion rate changing over time? v Any time v
Jane Doe * Media Streamlng - Analytics « Jane Doe Added
afew seconds ago « 0 views
Filter By: Daily v || Default | 7d | 30d | 60d | 90d | & v Space
I 7 Howmany times do users perform the starting event before converting?
Jane Doe « Media Streaming - Analytics « Jane Doe Filter by space
afew seconds ago « O views
Funnel Conversion What? w7 Whatis the conversion rate of this funnel? Editor
A funnel represents the journey a user takes Last 30 Jane Doe « Media Streaming - Analytics « Jane Doe Filter by editor
in a product from a starting point to an afew seconds ago « 0 views
ending point.
p— < What paths do users take to get to your ending event? Project
A business is usually operating around Jane Doe « Media Streaming - Analytics « Jane Doe : :
optimizing key conversion funnels around afew secondsago + 0 views Filter by project
signup, monetization events, and other key .
flows. s v How long does it take users to convert?
Jane Doe * Media Streaming - Analytics « Jane Doe
Amplitude allows you to understand not afewsecondsago - 0views
only the proportion of users completing key 50%
flows, but also how that rate is changing s Complete Purchase vs Checkout - Unique Users (All Users vs New Users)
over time, how long it takes users to ian‘? D:e . Ecom";er.ce * Jane Doe
e o s minutes ago - Views
convert, and other critical insights. 25% &
For more, read Amplitude's guide to using A Howmany ur?ique customers have visited your shop in the last 30 days?
funnel analysis. pawel.kordynskl@.delvedeeper.com « Ecommerce
0% 2 hours ago » 0 views
f How are customers finding your store?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago = 0 views
w7 How many items did users view before purchase?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago » 0 views Demo Guide e
How is the conversion rate changing over time? Y
A Howmany purchases are made weekly?
Last 30 Davs % Conversion Over Ti I T T T
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe v More v @ Copy as Notebook @ Add Content v
Funnel Analysis (Copy) [@ Existing chart
A . 2, Existing cohort
Enter dashboard description. This can help others better understand your dashboard. xisting conor
[/ Create new chart
Filter By: = Daily v Default | 7d | 30d | 60d | 90d | B v Default Project Timezone v Add Filter T Text
T Header

Funnel Conversion What is the conversion rate of this funnel? Y1
A funnel represents the journey a user takes Last 30 Days ¥ Funnel Conversion
in a product from a starting point to an
ending point.

. . . 100%
A business is usually operating around
optimizing key conversion funnels around
signup, monetization events, and other key .
flows. 75%
Amplitude allows you to understand not
only the proportion of users completing key 50%
flows, but also how that rate is changing
over time, how long it takes users to
convert, and other critical insights. 25%
For more, read Amplitude's guide to using
funnel analysis. 0%

Play Song or Video Purchase Song or Video
@ All Users
Demo Guide e

How is the conversion rate changing over time? Y1 How long does it take users to convert? Y1 How many times do users perform the starting eventb.... Y 1
Last 30 Davs % Conversion Over Time Last 30 Davs % Time to Convert Last 30 Davs % Funnel Analvsis
|.
Add to Dashboard Filter by
@ Recent v Favorites v Spaces v Ust
Q Search Content
[T Archived
el « [] Official content
[] Template
Funnel Analysis (Co py) Last edited date v 2,007 results found in 13ms
Last edited
Enter dashboard description. This can help others better understanc w How is the conversion rate changing over time? .
3 ; i ; Any time v
ane Doe « Media Streaming - Analytics « Jane Doe
afew seconds ago « O views
Filter By: Daily v || Default | 7d | 30d | 60d | 90d | & v Space
1 7 Howmany times do users perform the starting event before converting?
Jane Doe « Media Streaming - Analytics « Jane Doe Filter by space
afew seconds ago « O views
Funnel Conversion What? w7 Whatis the conversion rate of this funnel? Editor
A funnel represents the journey a user takes Last 30 Jane Doe « Media Streaming - Analytics « Jane Doe Filter by editor
in a product from a starting point to an afew seconds ago « 0 views
ending point.
p— < What paths do users take to get to your ending event? Project
A business is usually operating around Jane Doe « Media Streaming - Analytics « Jane Doe : :
optimizing key conversion funnels around afew secondsago + 0 views Filter by project
signup, monetization events, and other key .
flows. s v How long does it take users to convert?
Jane Doe * Media Streaming - Analytics « Jane Doe
Amplitude allows you to understand not afewsecondsago - 0views
only the proportion of users completing key 50%
flows, but also how that rate is changing s Complete Purchase vs Checkout - Unique Users... Users vs New Users)
over time, how long it takes users to ian? D:e . Ecom";er.ce 0dEN PR
e o s minutes ago -« Views
convert, and other critical insights. 25% =
For more, read Amplitude's guide to using s How many unique customers have visited your shop in the last 30 days?
f pawel.kordynski@delvedeeper.com « Ecommerce
LG E AL, 0% 2 hours ago « 0 views
f How are customers finding your store?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago = 0 views
w7 How many items did users view before purchase?
pawel.kordynski@delvedeeper.com « Ecommerce
2 hours ago » 0 views Demo Guide e
How is the conversion rate changing over time? Y
A Howmany purchases are made weekly?
Last 30 Davs % Conversion Over Ti I T T T
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe v
. M v Copy as Notebook Add Content v
Funnel Analysis (Copy) ore B Copy ® ©
Complete Purchase vs Checkout - Unique Users (All Users vs New Users)
Daily, Since Jun1 » Uniques
750%
500%
N
3
:»Cnu 250% /t o
S P— . ‘.
) A i A\ /A A\ A\ l , & / \«‘ 7\ j v / E
(W / o ~ \ S .
0% " ~_~ </ Ng— ) 7/ _/ \/ / St x/
-250%
Jun5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
Demo Guide e


Logging in

pageType: Marketing

pagePatterns:
Landing Page
Hero Section

screenElements:
Banner
Top Navigation Bar
Button
Logo

screenElements:
Banner
Top Navigation Bar
Button
Logo
Avatar
Top Navigation Bar
Icon
Card
Grid List
Side Navigation

screenPatterns: Login Dashboard Home Login

pageType: Application Marketing Application Application Application Application

screenKeywords:
@ Amplitude
Log in to JD Mobbin Design
Email
jdoe.mobbin@gmail.com
Password
Forgot your password?
< Change org No access? Request access.
Privacy - Terms
|Get product-led growth tactics and metrics from more than 30 experts in our latest PLG guide. Read now. X
@ Amplltude Platform  Solutions  Resources  Pricing Login
(NG EVERY o [TNE= TR (EVS E=Ta e RN F={al SRV IV [ Te R (o] -V X Toi dloTa W TaTe o (RIS ={ke) Vi B
Get started Explore the demo
Funnel Ana[ys|s Notebook F;‘; LB +16
Conversion Over Time Frequency AB Test Results
X
200,187 SEVMI V]
All Users: 27.6%
=& Show User Journeys
@©> Show User Paths
|@ Amplitude
Log in to Your Organization
https://analytics.amplitude.com/ jdmobbin
Don't have an account? Sign up for free.
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
1 Quick actions
| a i Start from a template [0 Explore Amplitude demo +2 Invite a new user [iL] Create a chart
Go To Your Space
) What’s happening in your product JD Mobbin v ®
A Overview Q3
{ Recents
Daily Active Users (DAU) Breakdown of users by New users Average session length
Y¢ Favorites country
/’ Drafts 0 ;;o?\:/gul 19 inpli ] Al 0 ;;o?\:/gul 19
yesterday Country VSErS yesterday
JUMP BACK IN Singapore 3 0 m
4 4 .
OF Funnel Analysis (Copy) Avg Session Length
3 : 3 :
g2 : T2 :
c . c .
2 . 2 .
0 e, 0 e,
Jul31 Aug 14 Jul31 Aug 14
Product KPIs V2 Session Engagement
Go To Template - User Activity Go To Template - User Activity Go To Template - Go To Template -
Realtime event stream ® Realtime users by location ® Realtime users ®
Event Time user @
[Amplitude] Star Today,.. 70439738... @
|@ Amplitude
Log in to JD Mobbin Design

Email

Email
Password

Password

Forgot your password?
< Change org No access? Request access.
™
Privacy - Terms
|@ Amplitude
Log in to Your Organization
https://analytics.amplitude.com/ your-org-url
Don't have an account? Sign up for free.


pagePatterns:
Social Proof (Testimonial) Section
Solutions & Use Cases Page
Solutions & Use Cases Page
Solutions & Use Cases Page

pageType: Marketing Marketing Marketing Marketing Marketing Marketing

screenKeywords:
@ Amplltude Platform  Solutions  Resources  Pricing Login
{ | X "Amplitude has saved us months of engineering investments into understanding
user behavior in our products. It points out areas where things are not working
as well as we expected them to work."
Increase in user engagement
Gooi Chungheong
Principal Engineering Manager
[ Amplitunes v Share e
erenns (TR Show new users value, faster
2t k-t Identify milestones that create top accounts
during [ May 1, 2020 - May 30, 2020
See if 1st, 3rd or 5th time feature use has the highest impact on conversion and
retention.
And also ...performed Favorite Song or Video
k with count > 4 times Expedite acquisition, activation, and retention
any time  during May 1, 2020 - May 30, 2020 . ]
Ensure your users are progressing through key lifecycle phases.
And also ...had user property @ country = United States Build Strong relationShips at scale
|@Amplitude Platform Solutions Resources Pricing Login
These Growth Leaders in B2B SaaS Use
Amplitude
A ATLASSIAN ' 'cllls.élc;' () shopify HEE fPornerstone
“Amplitude helps to unleash the potential of the
Atlassian teams by allowing them to self-serve for
analytics and improve our products faster and
more accurately. Having Amplitude in the
organization translates to faster decision making
and more accurate decisions taken."”

Data Engl?r::lesrsiLa;Manager
|Platform Solutions Resources Pricing Login

How does Amplitude help Saas$ drive Want to increase your LTV?
conversions? o )

Check out how Intuit QuickBooks increased revenue by 2x
Join one of our weekly platform demos. and activation by 10%
PLATFORM RESOURCES SUPPORT PARTNERS [e1e]V1J:N R4
Analytics Resource Center Contact Us Become a Partner About Us
Experiment =](eTe] Help Center Find a Partner [oFeT7-Y-Y¢
|@ Am plltude Platform Solutions Resources  Pricing Login Contact sales Get started
INDUSTRY USE CASE
= Financial Services 7 Grow active users
Personalize the banking experience Get users hooked from day one
= B2B @ Increase customer lifetime value
Maximize product adoption Understand your customers like no one else.
& Media ® Accelerate monetization
Identify impactful content Turn behavior into business
® Healthcare
Simplify the digital healthcare experience
R Ecommerce
Optimize for transactions
.
Funnel Analysis @ Notebook (L8 e
Conversion Over Time Frequency AB Test Results
PLIKEY)
156,193
|@ Amplltude Platform  Solutions  Resources  Pricing Login
Slgele (V[ M Y[l oIl N e O R (CETaa ISV Yo [Ty = Tale Rt a T - Tl oo 1V} 5= Ya Lo MVISITESM o IS s WA To TS =Ya o Mna Lo !
SISV AN IRV oI Yol ] oTeTeRigelna Wo T A=A K=Y R (o X =TaT=E-YocTo MR KoM (T =X L= T B
B @,
D 4 e
- [

Y [e)'q139]VZ-N s (eTe (U3 Yo leT ol ey Accelerate Milestones Improve Account Retention
Understand what features motivate Identify the experiences that drive Create more high value accounts by
users to complete their first workflow— acquisition, activation, retention and understanding which milestones lead to
and beyond. [CHEEL cross-sells and upsells.
|@ Amplltude Platform  Solutions  Resources  Pricing Login
Create experiences that drive renewals
Amplitude allows SaaS product teams to understand which updates will make the biggest impact
on all customers, not just the ones that offer the most feedback.

> Paths Ending with Share Song Copy n e
St red m | I n e yo u r p rOd u Ct Top events performed before share song
WO r kf | OWS Play Song or Video  59.5%

e ———————————————
Analyze product adoption in real-time :"’“5""’"”’”") iy
See if your product experiences are driving users seconds after you release
them. Iml—uu
Understand dropoff in seconds k
In just two clicks, identify the differences in behaviors of users who convert
versus those who don’t. .
Prioritize high-value feature requests
Invest your team’s resources in the highest-impact feature requests and
product updates. |


User detail

screenPatterns:
User / Group Profile
Timeline & History

screenElements:
Segmented Control
Divider

screenPatterns:
User / Group Profile
Timeline & History
User / Group Profile

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Event Stream Live event updates C’
AllEvent(s) Select Event(s) from select Device ID(s) @ @
Showing most recent 564 events.
August 23, 2023
August 23, 2023 . -- ?
g C) 10:16:09.982 pm UTC m @ Copy URL
2 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745th9d9 H
( End Session
Family, OS Samsung Phone, -
10:16:09pm @  End Session OdJ
{
"$i t_id": ikl
10:16:09 pm ®  Search for Items O :;:151::\5—1 13,“
" _time": 1692828969982,
ca. . . "amplitude_attribution_ids": null,
9:58:06 pm ®  Main Landing O vamplitude id": 552157516583,
"app": 317629,
9. - "city": "New York",
9:12:22 pm ¢  Complete Profile D "client_event_time": "2023-08-23 22:16:09.982000",
"client_upload time": "2023-08-18 03:45:20.260000",
8:45:21 ° "country": "United States",
pm LogIn U e
"group_first_event": {
8:45:21 pm ®  Start Session OJ b
"group_ids": {
b
"path": "/httpapi"
6 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9 i
f _ "device_carrier": "T-Mobile",
Famlly’ 05 Samsung Phone, "device_family": "Samsung Phone",
"device_id": "9ccéafbl-c4da-4476-b227-2aae745fb9d9",
4:13:06 ° H "device_type": "Samsung Galaxy S10",
pm End Session D "display_name": "End Session",
"dma": null,
4:13:06 pm ® Addto Cart OdJ jeyentiidi: 922618181y
"event_properties": {
Y
4:10:49 pm o View Recommended Item D "event_time": "2023-08-23 22:16:09.982000",
"event_type": "End Session",
"group_properties": {
3:30:24 pm ® Addto Cart OdJ I Demo Guide e
"groups": {
Y
3:06:29 pm ®  View Recommended Item OdJ "ip_address": null,
"Tanaiiagqe" s "Frnalieh"
|@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
——
- ®
Sgg}goryﬁuésct)ggoﬂgtzd!\;%t?tléir !;)jecpﬁic properties and event path.
Ecommerce v User Account
Manage Columns (5) v Filter By Events v Live event updates C’

Time User Id Event Platform Country

in 6 days 4847920554288293889 End Session Android United States

in 6 days 4847920554288293889 Search for Items Android United States

in 6 days 5089457444012681217 End Session Web United States

in 6 days 5089457444012681217 Log In Web United States

in 6 days 5089457444012681217 Start Session Web United States

in 6 days 4847920554288293889 Main Landing Android United States

in 6 days 2093822574425759745 End Session Android United States

in 6 days 2093822574425759745 Log In Android United States

in 6 days 2093822574425759745 Start Session Android United States

in 6 days 4847920554288293889 Complete Profile Android United States

in 6 days 4847920554288293889 Log In Android United States

in 6 days 4847920554288293889 Start Session Android United

in 6 days 8395618371592469505 Log In Android United States
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Event Stream Live event updates C’
All Event(s) Select Event(s) from select Device ID(s) @ @
Showing most recent 564 events.
August 23, 2023
A t 23,2023 , 2
ugus C) 10:16:09.982 pm UTC @ CopyURL
2 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9 H
Family, 0S  Samsung Phone, - End SGSSlon
Event ID 922618181
10:16:09 pm ®  End Session OJ -
Session ID 1692823521711
10:16:09 pm ®  Search for Items OdJ
9:58:06 pm ®  Main Landing O .
User Properties
9:1z22pm @  Complete Profile U @ Userd 4847920554288293889
8:45:21 pm ® Llogln E] @ Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9
8:45:21 pm ®  Start Session O @ Platform Android
@ Device Type Samsung Galaxy S10
6 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745th9d9 i
Family, 0S  Samsung Phone, - @ Version 1.0
@ Library http/1.0
4:13:06 pm ®  End Session O -
@ Country == United States
4:13:06 pm ® Addto Cart OJ
+=+ See all other 18 User properties
4:10:49 pm ® View Recommended Item E]
3:30:24 pm ® Addto Cart OJ Other Demo Guide e
3:06:29 pm ®  View Recommended Item O Client Event Time Aug 23,10:16:09 pm UTC
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Search for your users or accounts to dive into their specific properties and event path.
Ecommerce
User Property values shown are the most recent values. Learn More
@ User ID Amplitude ID First Seen Last Seen
4847920554288293889 552157516583 Jan 21, 2023 (7 months ago) Aug 23, 2023 (in 6 days)
= Total Events Total Sessions Usage Time
2,048 278 23 days
Q Language Country Region City DMA
English == United States New York New York -
o Device Type 0s Version Platform Library
Samsung Galaxy S10 - 1.0 Android http/1.0
Carrier Device ID(s)
T-Mobile 9ccbafbl-c4da-4476-b227-2aae745fb9d9
® Total Spent # Purchases
$11,617 134
e« See all other 7 User properties
Event Stream Livi YN 3 )
AllEvent(s) Select Event(s) from select Device ID(s) m m @


Help center

screenElements:
Navigation Menu
Icon

screenElements:
Navigation Menu
Icon
Floating Action Button
Chip

pageType: Marketing Marketing Marketing

screenKeywords:
@ Am plltude Platform Solutions Resources Pricing Login Contact sales Get started
LEARN CONNECT SUPPORT
& Blog 8 Community @ Help Center
Thought leadership from industry experts Connect with peers in product analytics Answers to every Amplitude question
0 Resource Center £ Events <> Developer Hub
Expertise to guide your growth Register for live or virtual events Integrate and instrument Amplitude
AZ Glossary & Academy
All the terms you need to know Become an Amplitude pro
.
Funnel Analysis ® Notebook () 26
Conversion Over Time Frequency AB Test Results
B 200,187
156,193
|@ Amplitude Amplitude Home Developer Center Amplitude Academy Submit a request SIEGE
222 %
Amplitude CDP FAQs
Deliver personalized experiences to your users with Amplitude Frequently-asked questions on all things Amplitude.
Audiences.
More resources
Developer Center Amplitude Academy Community
Amplitude's developer documentation. Courses, videos, live training, and more. Connect with other users, ask questions,
SDKs, APIs, and more. and stay up to date on what's new.
Recent activity
Charts Everything else Charts
FAQ: Experiment Results FAQ: HTTP V2 API vs Batch Event Upload FAQ: User Sessions
Article created 2 days ago - L3 0 API Article created 14 days ago - L3 0
Article created 14 days ago - L3 0
? Data management 2. Add your data
IP addrecs and | ocation nronerties Get data into Amblitude
|@ Amplitude Amplitude Home Developer Center Amplitude Academy Submit a request SIEGE
More resources
Developer Center Amplitude Academy Community
Amplitude's developer documentation. Courses, videos, live training, and more. Connect with other users, ask questions,
SDKs, APIs, and more. and stay up to date on what's new.
Recent activity
Charts Everything else Charts
FAQ: Experiment Results FAQ: HTTP V2 API vs Batch Event Upload FAQ: User Sessions
Article created 2 days ago - L3 0 API Article created 14 days ago - L3 0
Article created 14 days ago - L3 0
Data management 2. Add your data
IP address and Location properties Get data into Amplitude
Article created 15 days ago - 3 0 Article created 21 days ago - 3 0
See more
Amplitude Home English (US) v


Editing a chart

screenPatterns: Charts Edit

screenKeywords:
ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v OF Copyas Dashboard = Chart View
. . You can edit  Owned by Jane Doe
User INs |ght$ Last edited a few seconds ago
::  Engagement: How often are users performing your event?
Daily, Last 30 Days
500k
400k
300k
200k
100k
I ——— -
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times eee 'lj Y
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Improvement v | Let's continue to monitor this
Engagement: How often are users performing your event?
Daily, Last 30 Days
600k There are no metrics you can
track on this chart at this time.
400k
200k I
0 I —— S | -
< 2 2 2 2 2 2 2 2 2
'\/Q& Q&z Q&Q; Q&Z Q&Z Q@G ,oé\‘b ,oé\‘b \\({\Z \\({\0
Vv % ™ “ O Q & '\9Q '\9Q
© N Y i
@® 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times oo
Demo Guide e
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Let's continue to monitor this

Engagement: How often are users performing your event?

Daily, Last 30 Days

500k

400k

300k

200k

100k

I ——— [
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times  eee
Demo Guide e
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v OF Copyas Dashboard = Chart View
. . You can edit  Owned by Jane Doe
User INs |ght$ Last edited a few seconds ago
::  Engagement: How often are users performing your event?
Daily, Last 30 Days
500k
400k
300k
200k
100k
I ——— -
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times eee 'lj 7
Demo Guide e
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit  Owned by Jane Doe

User Ins |ght$ Last edited a few seconds ago

Engagement: How often are users performing your event?

Daily, Last 30 Days

500k

400k

300k

200k

100k

I ——— -
1time 2 times 3 times 4 times 5 times 6-10times  11-20times 21-50times 51-100times >100 times
@ 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times ( 11-20times @ 21-50times eee
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Note v | Enter the insight you want users to take away from the Chart...

Engagement: How often are users performing your event?

Daily, Last 30 Days

600k There are no metrics you can

track on this chart at this time.
400k
200k I
0 I —— S | -
< 2 2 2 2 2 2 2 2 2
S & & & & & & & & &
e v % ™ “ O S S QQ $
: J p S S
© N Y i
@® 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times oo
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Improvement v | Enter the insight you want users to take away from the Chart...
Engagement: How often are users performing your event?
Daily, Last 30 Days
600k There are no metrics you can
track on this chart at this time.
400k
200k I
0 I —— S | -
< 2 2 2 2 2 2 2 2 2
»‘\& & & & & & & & & &
Vv % ™ “ O Q & '\9Q '\9Q
© N Y i
@® 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times oo
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Jane Doe ~ More v BB Copyas Dashboard - Chart View
. . You can edit « Owned by Jane Doe
User Ins |ght$ Last edited a few seconds ago
Note v | Enter the insight you want users to take away from the Chart...
No Callout .
En en are users performing your event?
pail Improvement
0 Note There are no metrics you can
Warning track on this chart at this time.
Issue
400
200k I
0 I —— S | -
< 2 2 2 2 2 2 2 2 2
&\& & & & & & & & & &
Vv % ™ ) O Q & & &
: J p S S
© N Y i
@® 1ltme @ 2times @ 3times @ 4times @ 5times @ 6-10times oo
Demo Guide e


Showing user paths

screenElements: Tooltip Dialog

screenPatterns:
Action Option
Charts

pageType: Application Application Application Application Application

screenKeywords:
You are currently in the Amplitude Demo. or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment BAsk QO A 3 @ @
> JaneDoe ~ A Morev Addto . Saved
H You can edit + Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs New Users) * i
0 Dashboards « 0 Notebooks
This chart is to view the number of completed purchases vs users who checkout
Anomaly + Forecast Comparing to previous month v A X Computed 28 minago ) Refresh ~ Linechart v Daily v 7d | 30d | 60d | 90d
700%
600%
500%
400%
X 300%
«
&
5 \
S 200% \ -
, N : E
\ VA A / \‘\ /A\ & )
0% = \ =\ ) /
< ./
v Y U VY U \_/ \ )R \
-100%
-200%
Jun 5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
Breakdown with 4 selected Resettotop4 () @ [ Exportcsv  Q
Demo Guide e
Segment Event * 0 Fri, Aug 11 Sat, Aug 12 Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 ROW AVETAgE ¥
|You are currently in the Amplitude Demo. o4
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
> JaneDoe v RNV VETETER of ]y To] (=L R VI (o EET-H Y L U More v Add to
8 Y dit » O d by J D
Complete Purchase vs Checkout - Unique Users (All Users vs New Show User Paths ou can edit - Ouned by Jane boe
0 Dashboards « 0 Notebooks
This chart is to view the number of completed purchases vs users who checkout View User Streams
Create Cohort
Anomaly + Forecast Comparing to previous month v ¥ X Computed 29 minago ) Refresh ily v 7d | 30d | 60d | 90d
Download Users
700%
600%
500%
400%
X 300%
@
S
g \ .
S 200% A \ -
, N =
. / A | N A
‘\\ o
0% y = ) A\ =\ ¥ ) /) /
' \ \ / 4 \ {/
-100%
-200%
Jun 5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
Breakdown with 4 selected Resettotop4 () @ [ ExportCsv Q
Demo Guide e
Segment Event * 0 Fri, Aug 11 Sat, Aug 12 Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 ROW AVETdge v
|You are currently in the Amplitude Demo. o4
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
> JaneDoe v £l Morev  Addto
A You can edit « Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs New Users) * Y
0 Dashboards « 0 Notebooks
This chart is to view the number of completed purchases vs users who checkout
ol Wed, Jul 19
#2) New Users, Complete Purchase: 645%
Anomaly + Forecast Comparing to previous month v ¥ X Computed 29 minago ) Refresh ily v 7d | 30d | 60d | 90d
Click to Inspect
700%
[}
600%
500%
400%
X 300% \
@
)
15 B
[ -
S 200% /.. \ TR -
| /\ ‘ B
/ \ -
100% \ \ \ / \ \ /
/ \ ‘
0% . - AN » 4/ \ / /
, , W, \ ‘ \V
-100%
-200%
Jun 5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul 31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
Breakdown with 4 selected Resettotop4 () ® [ Exportcsv | Q
Demo Guide e
Segment Event * 0 Fri, Aug 11 Sat, Aug 12 Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 ROW AVETdge v
|Top User Paths starting with "Complete Purchase" on Jul 19th
Users v
162
Users
17.8%
Complete Purchase End Session End Session
910 (100%) 162 (17.8%) 162 (17.8%)
56
Users
6.15%
e
Complete Purchase Continue Shopping Main Landing Search for Items View Item Details
910 (100%) 352 (38.7%) 144 (15.8%) 111 (12.2%) 56 (6.15%)
50
Users
5.49%
Complete Purchase Main Landing End Session End Session
910 (100%) 322 (35.4%) 50 (5.49%) 50 (5.49%)
49
Users
5.38%
|Top User Paths starting with "Complete Purchase" on Jul 19th

Users

56

Users

6.15%

m—u

Complete Purchase Continue Shopping Main Landing Search for Items View Item Details
910 (100%) 352 (38.7%) 144 (15.8%) 111 (12.2%) 56 (6.15%)

23

Users

2.53% |
Complete Purchase Main Landing Search for Items End Session End Session
910 (100%) 322 (35.4%) 213 (23.4%) 23 (2.53%) 23 (2.53%)

22

Users

2.42% |
Complete Purchase Main Landing Search for Items Filter Search Results View Item Details
910 (100%) 322 (35.4%) 213 (23.4%) 27 (2.97%) 22 (2.42%)

20

Users

2.20%