Filtering date range

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 = Addio  Save
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
v Events & Event Explorer Computed 6 minago ) Refresh Daily v mm
A Complete Purchase i 1000% Last| 30 v | complete days and today (UTC+00:00) v
+ Filter b + Group-b A
v by Since
o
S 750% July 2023 August 2023
. [
B Checkout : % Between Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa
3
2
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a 25 26 27 28 29 30 1 1 2 3 4 5
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o
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o0
5 A&{é 9 10 11 12 13 14 15 13 14 15 16 17 18 19
N 0% —
v Measured as © Advanced v 16 17 19 20 21 22 20 21 22 23 24 25 26
Event Totals Active % < -250% 23 24 25 26 27 28 29 27 28 29 30 31 1 2
:‘ Jul 18 Jul 20 Jul 22 Jul 24 Jul 26
Average Frequenc Properties v 30 31
g a v P @ All Users, Complete Purchase @ New Users, C¢ ? 4 5 o 7 “ ?
fx Formula
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Breakdown by: = Top 4 (Default) v (@
v Segmentby Anyv Usersv (© Saved v
Segment Event Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
1 v AllUsers :
@ AllUsers Complete Purchase 160% 8.21% 1.72% 23.9%
+Filterby  + Performed
@ New Users Complete Purchase 237% 94.9% 33.5% 97.8%
i v New Users X i
@ AllUsers Checkout 148% 27.8% -1.27% 16.9%
whodid @ New User Y X
0 New Users Checkout 199% 131% 8.58% 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 = Addio  Save
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
v Events & Event Explorer Computed 6 minago ) Refresh Daily v mm
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Average Frequenc Properties v
g a v P @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula
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v Segmentby Anyv Usersv (© Saved v
Segment Event Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
1 v AllUsers H
@ AllUsers Complete Purchase 160% 8.21% 1.72% 23.9%
+Filterby  + Performed
@ New Users Complete Purchase 237% 94.9% 33.5% 97.8%
i v New Users X i
@ AllUsers Checkout 148% 27.8% -1.27% 16.9%
whodid @ New User Y X
' New Users Checkout 199% 131% 8.58% 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 = Addio  Save
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
v Events & Event Explorer Computed 6 minago ) Refresh Daily v mm
A Complete Purchase i 1000% Last Since | 07/18/2023 | to today (UTC+00:00) v
+ Filter b + Group-b B
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. [
B Checkout : % Between Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa
3
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g A@ 9 10 11 12 13 14 15 13 14 15 16 i 17 118 19
N 0% —
v Measured as © Advanced v 16 17 19 20 21 22 20 21 22 23 24 25 26
Event Totals Active % < -250% 23 24 25 26 27 28 29 27 28 29 30 31 1 2
:‘ Jul 18 Jul 20 Jul 22 Jul 24 Jul 26
Average Frequenc Properties v 30 31
g a v P @ All Users, Complete Purchase @ New Users, C¢ ? 4 5 o 7 “ ?
fx Formula
Add Offset Cancel WYsleli%
Breakdown by: = Top 4 (Default) v (@
v Segmentby Anyv Usersv (© Saved v
Segment Event Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
1 v AllUsers :
@ AllUsers Complete Purchase 160% 8.21% 1.72% 23.9%
+Filterby  + Performed
@ New Users Complete Purchase 237% 94.9% 33.5% 97.8%
i v New Users X i
@ AllUsers Checkout 148% 27.8% -1.27% 16.9%
whodid @ New User Y X
0 New Users Checkout 199% 131% 8.58% 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
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@ - \\ | N o *
15 \ \ | .
: AA‘AL\‘IN"I/
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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
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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 :


Editing organization name

appName: Amplitude

appCategory: Business

appTagline: Product analytics & event tracking platform

companyHqRegion: US & Canada

companyStage: Public & Mature

platform: web

pageType: Application

hotspotType: Hover

hotspotType: Click

hotspotType: Keyboard Input

screenElements:
Side Navigation
Editable Text

pageType: Application Application Application Application Application Application

allAppCategories:
Artificial Intelligence
Business

screenKeywords:
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings General Create Organization

General

Plans & Billin it . .

g Organization JD Mobbin MTU Limit ® 100,000
Projects
Org ID 229468 MTU Last Month 0

Members

S50 Settings 9 org URL O jdmobbin MTU This Month 0

Access & Discovery Plan Starter Plan at 100k MTU MTU Quota

Content Access

User Privacy Notifications

Labs . .

Do more with Amplitude ¥ p
. . 8 + Q
. . . - 4 1] P

P l . Expedite the growth of your digital products with the best

ersonal settings plan for your team.

] More advanced behavioral insights Add-ons to tailor Amplitude to your New ways to share and work
Profile Upgrade Plan and cohorts specific needs together as a team
Notifications
Year In Review

MTU v
Total Monthly Tracked Users
w0 ———— 100%
75k ,,,/”// 75%
50k /,,/”'/’ 50%
25k ’/,/”/’ 25%
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings General Create Organization

General

Plans & Billin P . N P,

g Organization JD Mobbin 4 MTU Limit @ 100,000
Projects
OrgID 229468 MTU Last Month 0

Members

S50 Settings 9 org URL () jdmobbin MTU This Month 0

Access & Discovery Plan Starter Plan at 100k MTU MTU Quota

Content Access

User Privacy Notifications

Labs . .

Do more with Amplitude ¥ p
. . 8 + Q
. L . - 4 1] P

P l . Expedite the growth of your digital products with the best

ersonal settings plan for your team.

] More advanced behavioral insights Add-ons to tailor Amplitude to your New ways to share and work
Profile Upgrade Plan and cohorts specific needs together as a team
Notifications
Year In Review

MTU v
Total Monthly Tracked Users
w0 ———— 100%
75k ,,,/”// 75%
50k /,,/”'/’ 50%
25k ’/,/”/’ 25%
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings General Create Organization

General

Plans & Billin - . . L

& Organization JD Mobbin Design MTU Limit 100,000
Projects
Org ID 229468 MTU Last Month 0

Members

S50 Settings 9 org URL O jdmobbin MTU This Month 0

Access & Discovery Plan Starter Plan at 100k MTU MTU Quota

Content Access

User Privacy Notifications

Labs . .

Do more with Amplitude ¥ p
. . 8 + Q
. . . - 4 1] P

P l . Expedite the growth of your digital products with the best

ersonal settings plan for your team.

] More advanced behavioral insights Add-ons to tailor Amplitude to your New ways to share and work
Profile Upgrade Plan and cohorts specific needs together as a team
Notifications
Year In Review

MTU v
Total Monthly Tracked Users
w0 ———— 100%
75k ,,,/”// 75%
50k /,,/”'/’ 50%
25k ’/,/”/’ 25%
|Confirm Organization Name Change
Please confirm the change you are making to the organization name:
changing org name from "JD Mobbin" to "JD Mobbin Design". Your team
will receive an email about the change you made.
As a best practice, we don't recommend making changes to your
organization name too frequently.

Cancel
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings Gene ral Create Organization
General
Plans & Billing . . MTU Limit
Organization JD Mobbin Design Save  Cancel ® 100,000
Projects
MTU Last Month 0
Members Org ID 229468
. MTU This Month 0
SSO Settings & org URL © idmobbin
Access & Discovery MTU Quota
Plan Starter Plan at 200k MTU
Content Access
User Privacy Notifications
Labs
Do more with Amplitude ¥ p
e, ot Q
Personal settings Expedite the growth of your digital products with the best o
plan for your team.
Profile More advanced behavioral insights Add-ons to tailor Amplitude to your New ways to share and work
_ and cohorts specific needs together as a team
Notifications MLl
Year In Review
MTU v
Total Monthly Tracked Users
w0 ———— 100%
75k ,,,/”// 75%
50k /,,/”’/’ 50"/@
acl ,/’/”/ ~ACoL
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings General Create Organization
General
Plans & Billing i MTU Limit
Organization JD Mobbin Save Cancel ® 100,000
Projects
MTU Last Month 0
Members OrgID 229468
. MTU This Month 0
SSO Settings < org URL ® idmobbin
Access & Discovery MTU Quota
Plan Starter Plan at 100k MTU
Content Access
User Privacy Notifications
Labs
Do more with Amplitude ¥ p
e, o Q
Personal settings Expedite the growth of your digital products with the best o
plan for your team.
Profile More advanced behavioral insights Add-ons to tailor Amplitude to your New ways to share and work
_ and cohorts specific needs together as a team
Notifications Uil
Year In Review
MTU v
Total Monthly Tracked Users
w0 ———— 100%
75k ,,,/”// 75%
50k /,,/”’/’ 50"/@
acl ,/’/”/ ~ACoL


Customizing overview

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

screenPatterns: Dashboard Home

pageType: Application Application Application

screenKeywords:
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
1 Quick actions
i , 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 ®
1 Overview

Quick actions Daily Active Users (DAU) Breakdown of users by New users Average session length

Jump back in country
0 0% 0 0%

Helpful resources yesterday from Jul 23 [Amplitude] All yesterday from Jul 23

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JUMP BACK IN Singapore 4 0 m
6 6 .
OF Funnel Analysis (Copy) Avg Session Length
o 4 o 4
o o
3 3
g g
c c
b —A b —A
0 0
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 ®
Listening for events...
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
,l What’s happening in your product JD Mobbin v ®
I g |
Daily Active Users (DAU) Breakdown of users by New users Average session length
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0 0% 0 0%
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. 6 6
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3 3
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Jul31 Aug 14 Jul31 Aug 14
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Realtime event stream ® Realtime users by location ® Realtime users ®
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+
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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... @


Adding to notebook

screenKeywords:
You are currently in the Amplitude Demo. o4
@ 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 |ght5 Last edited a few seconds ago
Demo Guide e
|You are currently in the Amplitude Demo. o4
@ 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

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[ Existing chart

2, Existing cohort

[/ Create new chart

T Text

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|R |
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[T Archived
el « [] Official content
[] Template
User insights Last edited date v 2,022 results found in 15ms
Last edited
& Session length: How long are users active? Anv ti o
alibekovkariml@gmail.com « Media Streaming - Analytics ny time
14 hours ago « 1 view
i A Space
(e Device Type: What devices are your new users on?
alibekovkarim1@gmail.com « Media Streaming - Analytics Filter by space
14 hours ago « 0 views
s User Traffic: Where are users from? Editor
alibekovkariml@gmail.com « Media Streaming - Analytics Filter by editor
14 hours ago « 0 views
s [Engagement: How often are users performing your event? Project
alibekovkariml@gmail.com « Media Streaming - Analytics ' '
14 hours ago « 0 views Filter by project
v Conversion Time: How long does it take for your users to conv... to a specific event?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
. N-Week Retention: What percentage of my users are coming back after N weeks?
* alibekovkarim1@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
v Funnel Conversion: How many users are converting to a specific event?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
A Daily Active Users (DAU): How many users are engaging daily?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
‘*’ Resurrection: How many of my dormant users are re-engaging?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago - 0 views Demo Guide e
< What paths do users take to get to your ending event?
|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
|You are currently in the Amplitude Demo. o4
@ 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
Demo Guide e
|R |
Add to Notebook Filter by
@ Recent v Favorites v Spaces v Us(
Qs h Content
earc .
[T Archived
el « [] Official content
[] Template
User insights Last edited date v 2,022 results found in 15ms
Last edited
& Session length: How long are users active? Anv ti o
alibekovkariml@gmail.com « Media Streaming - Analytics ny time
14 hours ago « 1 view
Space
(e Device Type: What devices are your new users on?
alibekovkarim1@gmail.com « Media Streaming - Analytics Filter by space
14 hours ago « 0 views
s User Traffic: Where are users from? Editor
alibekovkariml@gmail.com « Media Streaming - Analytics Filter by editor
14 hours ago « 0 views
Editor(s) . .
alibekovkarim1@gmail.com Engagement: How often are users performing your event? Project
. alibekovkariml@gmail.com « Media Streaming - Analytics ' '
Project(s) 14 hours ago + 0 views Filter by project
Media Streaming - Analytics
v Conversion Time: How long does it take for your users to conv... to a specific event?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
. N-Week Retention: What percentage of my users are coming back after N weeks?
* alibekovkarim1@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
v Funnel Conversion: How many users are converting to a specific event?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
A Daily Active Users (DAU): How many users are engaging daily?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago « 0 views
‘*’ Resurrection: How many of my dormant users are re-engaging?
alibekovkariml@gmail.com « Media Streaming - Analytics
14 hours ago - 0 views Demo Guide e
< What paths do users take to get to your ending event?


Switching chart view

screenKeywords:
ACUETCRIG I AT RGEY N [o] (I CADLTol  Start sending data [fe]d
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment GAsk Q A 83 @ @
Ecommerce v ~” Segmentation v () < More v Addto | Save
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v Events & Event Explorer Computed 13 minago ) Refresh Daily v mm 53 since Jun 1, 2023 v
A Complete Purchase :
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+Filterby  + Group-b 118%
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100%
8
B Checkout H 5
o
a 75%
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o
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i
&
c  25%
@
=
(&)
v Measured as © Advanced v S
0% — e
. . A102% 0.6199%
Event Totals Active % e e
. -25%
Average Frequency Properties v Complete Purchase Checkout
fx Formula @ All Users @ New Users
v Segmentby Anyv Usersv O Saved v Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
1 v :
AllUsers Segment Event Thu, Jun 1 to Thu, Aug 17
+Filterby  + Performed
@ AllUsers Complete Purchase -1.02%
# v NewUsers X i @ New Users Complete Purchase 113%
who did New User Y X
e @ AllUsers Checkout -0.611% Demo Guide e
Revert to Legacy Controls :
@ New Users Checkout 118%
|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 :
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+Filterby  + Group-by
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3
2 200%
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@ - \\ | N o *
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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
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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 :
|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 b X
v Events & Event Explorer Computed 13 minago ) Refresh Daily v mm A~ Line chart
A Complete Purchase : il, Barchart
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Average Frequenc Properties v
g a v P @ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
fx Formula
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v Segmentby Anyv Usersv (© Saved v
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@ 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 :


Archiving an item

screenPatterns:
Select
Other Action

pageType: Application Application Application Application

screenKeywords:
@ Recent v  Favorites v  Spaces v  User Look-Up ghorts & Audience perimen Data Q A & O =
All Spaces / Jane Doe ’
SC What paths do users take to get to
your ending event?
No Chart Preview Available
Pinned a minute ago * 0 views
L ¥
ALL CONTENT
Showing 6 Items 3 New Folder Move v a-A Rename & Archive X pPin IU Unpin
[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 is the conversion rate changing over time? ’ 4 days ago 0
(J B8 Funnel Analysis (Copy) ’ 4 days ago 0
O
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Creating a cohort

screenKeywords:
User Streams with Complete Purchase
Between Jul 19 - Jul 20
Filter By Events v Only show events in date range ¥ Download CSV
3072667049829439489 July 19, 2023 Products [{"brand":"Nike","categories":"W...
10:17:47 pm ' Products.brand [Nike, Nike, Nike, Fossil, Levi's, ...
866290953615306753 10:17:47 pm e
Products.categories [Wellness, Digital Content, New...
5593769936033519617 9:35:22 pm 1 acted » oo
9:26:34 pm . Products.department [Kids, Men's Clothing, Home, Me...
6216911062268688385 9:10:35 pm ° Products.discount_applied [0,0,0,0,0,5,0]
2357941517824431105 8:55:25pm @) @ Products.item_id [120, 120, 156, 84, 127, 148, 80]
8:03:13 pm 1 Products.price [10.99, 24.99, 10.99, 24.99, 24...
5368175094407513089 8:03:13 pm °
Products.quantity [2,1,2,1,2,2,1]
4:30:40 pm °
1544733261540195329 Promo Code Applied Refer a Friend
4:30:40 pm [ ]
6824614937630174209 3:31:10 pm ° quantity 1
1834799141075351553 3:03:23 pm ° revenueType merchandise income
2:52:02 pm [ ]
4460465705896785921 2:01:17 pm °
47 Other
2172416243034458113 L4r:ilpm @
1:02:48 pm ° Client Event Time Jul 31, 3:50:07 pm UTC
8890446457850415105
12:30:50 pm [ Client Upload Time Jul 26, 4:19:24 am UTC
6143282760559234049 1148:53am @ Server Upload Time Jul 26, 4:19:24 am UTC
11:00:19 am [ ] d |
Server Received Time Jul 26, 4:19:24 am UTC
4412709065712386049 10:16:58 am °
i IP Address
2275583833678342145 9:51:53am @
Q-R1-5 am a
|In progress. Saving cohort "Complete Purchase". X
User Streams with Complete Purchase
Between Jul 19 - Jul 20
Filter By Events v Only show events in date range ¥ Download CSV
3072667049829439489 July 19, 2023 Products [{"brand":"Nike","categories":"W...
10:17:47 pm ' Products.brand [Nike, Nike, Nike, Fossil, Levi's, ...
866290953615306753 10:17:47 pm e
Products.categories [Wellness, Digital Content, New...
5593769936033519617 9:35:22 pm 1 acted » oo
9:26:34 pm . Products.department [Kids, Men's Clothing, Home, Me...
6216911062268688385 9:10:35 pm ° Products.discount_applied [0,0,0,0,0,5,0]
2357941517824431105 8:55:25pm @) @ Products.item_id 1120, 120, 156, 84, 127, 148, 80]
8:03:13 pm 1 Products.price [10.99, 24.99, 10.99, 24.99, 24...
5368175094407513089 8:03:13 pm °
Products.quantity [2,1,2,1,2,2,1]
4:30:40 pm °
1544733261540195329 Promo Code Applied Refer a Friend
4:30:40 pm [ ]
6824614937630174209 3:31:10 pm ° quantity 1
1834799141075351553 3:03:23 pm ° revenueType merchandise income
2:52:02 pm [ ]
4460465705896785921 2:01:17 pm °
47 Other
2172416243034458113 L4r:ilpm @
1:02:48 pm ° Client Event Time Jul 31, 3:50:07 pm UTC
8890446457850415105
12:30:50 pm [ Client Upload Time Jul 26, 4:19:24 am UTC
6143282760559234049 1148:53am @ Server Upload Time Jul 26, 4:19:24 am UTC
11:00:19 am [ ] d |
Server Received Time Jul 26, 4:19:24 am UTC
4412709065712386049 10:16:58 am °
i IP Address
2275583833678342145 9:51:53am @
Q-R1-5 am a
|@ Updated. "Complete Purchase" has finished computing. This cohort is static and the contents will not change over time. View cohort X
User Streams with Complete Purchase
Between Jul 19 - Jul 20
Filter By Events v Only show events in date range ¥ Download CSV
3072667049829439489 July 19, 2023 Products [{"brand":"Nike","categories":"W...
10:17:47 pm ' Products.brand [Nike, Nike, Nike, Fossil, Levi's, ...
866290953615306753 10:17:47 pm e
Products.categories [Wellness, Digital Content, New...
5593769936033519617 9:35:22 pm 1 acted » oo
9:26:34 pm . Products.department [Kids, Men's Clothing, Home, Me...
6216911062268688385 9:10:35 pm ° Products.discount_applied [0,0,0,0,0,5,0]
2357941517824431105 8:55:25pm @) @ Products.item_id 1120, 120, 156, 84, 127, 148, 80]
8:03:13 pm 1 Products.price [10.99, 24.99, 10.99, 24.99, 24...
5368175094407513089 8:03:13 pm °
Products.quantity [2,1,2,1,2,2,1]
4:30:40 pm °
1544733261540195329 Promo Code Applied Refer a Friend
4:30:40 pm [ ]
6824614937630174209 3:31:10 pm ° quantity 1
1834799141075351553 3:03:23 pm ° revenueType merchandise income
2:52:02 pm [ ]
4460465705896785921 2:01:17 pm °
47 Other
2172416243034458113 L4r:ilpm @
1:02:48 pm ° Client Event Time Jul 31, 3:50:07 pm UTC
8890446457850415105
12:30:50 pm [ Client Upload Time Jul 26, 4:19:24 am UTC
6143282760559234049 1148:53am @ Server Upload Time Jul 26, 4:19:24 am UTC
11:00:19 am [ ] d |
Server Received Time Jul 26, 4:19:24 am UTC
4412709065712386049 10:16:58 am °
95153 IP Address
2275583833678342145 Bl53am @
Q-R1-5 am a


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screenKeywords:
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Complete Purchase vs Checkout - Unique Users (All Users vs New Users) y
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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 Average v
@ AllUsers Complete Purchase 5.10% -58.1% -62.4% -5.05% 100% 170% 15.8% 24.8%
@ New Users Complete Purchase 62.8% -18.9% -43.2% 19.8% 80.1% 262% 137% 37.6%
@ AllUsers Checkout 8.19% -47.9% -57.3% -17.7% 56.3% 150% 55.6% 21.8%
 New Users Checkout 58.3% -6.48% -40.8% -18.0% 22.6% 205% 229% 22.3%
Demo Guide e
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Revert to Legacy Controls :


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Event Name Correlation Score Frequency % Who Did Event Time Between Steps
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Adding chart to notebook

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. ® L N A SN ANAN A “\MA/,\,
Average Frequency Properties v S 7 N \_/ G 7 _/ - <
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-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%
|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
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3
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v Measured as O Advanced v °
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5 \ \ /s AW/ AW/ AN AN/
° \/ N\ N\ _/ =’ = \_/ \—/ QO L N/ ,
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-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
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
. Untitled Notebook v
Ecommerce v A Segmentation v () < JaneDoe ~ 0 More v & Sha [ Untitied Noteboo x
. b @ Add chart to notebook
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Complete Purchase vs Checkout - /
0 Dashboards « 0 Notebooks
i *
v Events S Event Explorer Unlque Users (All Users vs New Keep traCk Of your
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A Complete Purchase H . . .
This chart is to view the number of completed purchases vs users who checkout Save chart views and add notes as
+Filterby  + Group-by you explore.
Anomaly + Forecast ~ Line chart v
B Checkout H
Comparing to previous month v X X Daily v
+Filterby  + Group-by
Computed 24 minago ) Refresh 7d | 30d | 60d | 90d
+ Add Event
750% W/
@
3
2
> 0
v Measured as © Advanced v S 500%
£§38
] . 2T 250% :
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00 \ A I Y/ \ .
. ® . NANANANA “\MA/,\,
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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 : @ [3 Export CSV
Breakdown by: = Top 4 (Default) v (@
+Filterby  + Performed Q
2 v New Users i 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 @ @
Ecommerce v ~” Segmentation v () < JaneDoe v Q More v Addto . Saved
A i You can edit - Owned by Jane Doe
Complete Purchase vs Checkout - Unique U Unfavorite /
0 Dashboards « 0 Notebooks
~ Users vs New Users) Open Notebook View
v Events & Event Explorer
This chart is to view the number of completed purchases vs users who chec| c L O N
A Complete Purchase : xpor
+Filterby  + Group-by Anomaly + Forecast Comparing to previous month v A X Save As ~ Line chart v
Compuad 23 min g0 e 4 04 | 906 [ Bsmesm,2009 |
B Checkout H
+Filter by  + Group-by 800% Add Shortcut
+ Add Event - Copy
3 600%
a Edit Alert
3
2 400%
v Measured as © Advanced v ° Comment
o
5
Event Totals Active % L 200% )\ Opt out of new look v
Q )| - ‘-
Average Frequency Properties v 2 ) N \ / B
© 0% S \ Revert /‘\ ,x/ /-
= . N\ N\ _/ \~* ~/ _ N/ \
fx Formula Archive
-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%


Removing a filter

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 A Line chart v Daily v mm
v Events S Event Explorer Current Uniques v
i Checkout X i 0 0%
yesterday from Jul 18
@ Event Day of Week X Current uniques are not showing any change since Jul 18.
= Saturday, Friday, Sunday 2500
+Filterby  + Group-by
2000
+ Add Event
1500
@
o
3
g
v Measured as O Advanced v 5
1000
Event Totals Active %
. 500
Average Frequency Properties v
fx Formula Z‘ 0 S
Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augil5 Aug..
@ AllUsers
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers : Breakdown by: = Top 1 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed Segment Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
+ Add Segment All Users 954 0 0 0 0 541.87
Group Segment by
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 Compare v A Line chart v Daily v mm
v Events S Event Explorer Current Uniques v
I 0,
ii  Checkout Remove filter 0 0%
yesterday from Jul 18
@ Event Day of Week X Current uniques are not showing any change since Jul 18.
= Saturday, Friday, Sunday 2500
+Filterby  + Group-by
2000
+ Add Event
1500
@
o
3
g
v Measured as O Advanced v 5
1000
Event Totals Active %
. 500
Average Frequency Properties v
fx Formula Z‘ 0 S
Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augil5 Aug..
@ AllUsers
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers : Breakdown by: = Top 1 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed Segment Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
+ Add Segment All Users 954 0 0 0 0 541.87
Group Segment by
Demo Guide e
Revert to Legacy Controls :
|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
Anomaly + Forecast Compare v A Line chart v Daily v mm
v Events & Event Explorer Current Uniques v
A Checkout H 2 . 17 k ~ 18.9%
yesterday from Jul 18
+Filterby  + Group-by Current uniques are trending downwards by 18.9% since Jul 18.
3k
+ Add Event
v Measured as © Advanced v 2k
3
Event Totals Active % =
£
Average Frequency Properties v "
fx Formula
0
v Segmentby Anyv Usersv (© Saved v Z‘ Jul18 Jul 20 Jul 22 Jul 24 Jul 26 Jul 28 Jul 30 Aug1 Aug 3 Aug5 Aug7 Aug 9 Augll Augl3 Augil5 Augl7
All Users
1 v AllUsers H °
+Filterby  + Performed
Breakdown by: | Top 1 (Default) v ' @ | B ExportCsSV | Q
+ Add Segment
Segment Tue, Jul 18 Wed, Jul 19 Thu, Jul 20 Fri, Jul 21 Sat, Jul 22 Sun, Jul 23 Mon,
Group Segment by
All Users 2,676 2,102 1,827 2,338 1,395 863 2,56¢
+ Select User Property
Demo Guide e
Revert to Legacy Controls :


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Adding a comment

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 @ @
> | JaneDoe ~ Q)| More v | Addto o Saved Chart Comments X
- A You can edit « Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs N oo Do g | Accantused orngratn
Tests
NeW UserS) This looks promising!
This chart is to view the number of completed purchases vs users who checkout
Use "@" to mention others.

Anomaly + Forecast Comparing to previous month v X X ~ Line chart v Add comment
Want to receive comment X
mentions instantly?

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5% Connect To Slack

< 600%

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Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
Segment Event 1, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
Demo Guide e

@ AllUsers Complete Purchase 4% -5.05% 100% 170% 15.8% 24.8%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
> | JaneDoe ~ Q)| More v | Addto o Saved Chart Comments X
- A You can edit « Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs N oushords ONocbooks @) | Account used for Inegraton
New Users) —_—
This chart is to view the number of completed purchases vs users who checkout Use "@" to mention others.
Add comment
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
Computed 25 minago ) Refresh Daily v mm Want to receive comment X
mentions instantly?
800% 3% Connect To Slack
- 600%
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Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
Segment Event 1, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
Demo Guide e
@ AllUsers Complete Purchase 4% -5.05% 100% 170% 15.8% 24.8%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
> | JaneDoe ~ Q)| More v | Addto o Saved Chart Comments X
A You can edit - Owned by Jane Doe
Complete Purchase vs Checkout - Unique Users (All Users vs Y o)
* 0 Dashboards « 0 Notebooks @
New Users) R
This chart is to view the number of completed purchases vs users who checkout Abbie Kouzmanoff
Account used for Integration Tests
Anomaly + Forecast Comparing to previous month v X X ~ Line chart v Admin Admin
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Segment Event 1, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
Demo Guide e
@ AllUsers Complete Purchase 4% -5.05% 100% 170% 15.8% 24.8%
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
>  JaneDoe ~ O Morev | Addto . Saved Chart Comments X
A You can edit « Owned by Jane Doe
mplete Purchase vs Checkout - Uni rs (All rsv
Complete Purchase vs Checkout - Unique Users (All Users vs % > achomte O Noteboore @ | Thoughts or feedback?
New Users) :
Use "@" to mention others.
This chart is to view the number of completed purchases vs users who checkout
Add comment
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
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5% Connect To Slack
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Segment Event 1, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
Demo Guide e
@ AllUsers Complete Purchase 4% -5.05% 100% 170% 15.8% 24.8%
|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 Q More v Addto . Saved
A i You can edit - Owned by Jane Doe
Complete Purchase vs Checkout - Unique U Unfavorite /
0 Dashboards « 0 Notebooks
~ Users vs New Users) Open Notebook View
v Events & Event Explorer
This chart is to view the number of completed purchases vs users who chec| c L O N
A Complete Purchase : xpor
+Filterby  + Group-by Anomaly + Forecast Comparing to previous month v A X Save As ~ Line chart v
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B Checkout H
+Filter by  + Group-by 800% Add Shortcut
+ Add Event - Copy
3 600%
a Edit Alert
3
2 400%
v Measured as © Advanced v ° Comment
o
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Average Frequency Properties v 2 ) N \ / B
© 0% S \ Revert /‘\ ,x/ /-
= . N\ N\ _/ \~* ~/ _ N/ \
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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
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
>  JaneDoe ~ O Morev | Addto . Saved Chart Comments X
A You can edit « Owned by Jane Doe

mplete Purchase vs Checkout - Uni rs (All rsv

Complete Purchase vs Checkout - Unique Users (All Users vs % > achomte O Noteboore @ | Thoughts or feedback?

New Users) :

Use "@" to mention others.
This chart is to view the number of completed purchases vs users who checkout
Add comment
Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
Want to receive comment X
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Segment Event 1, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
Demo Guide e
@ AllUsers Complete Purchase 4% -5.05% 100% 170% 15.8% 24.8%


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Searching events by date

screenPatterns:
User / Group Profile
Timeline & History

screenElements:
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Segmented Control

screenPatterns:
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Timeline & History

pageType: Application Application Application Application Application

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences  Experiment Ak QO A 3 @ @&
Event Stream Live event updates C’
All Event(s) Select Event(s) from select Device ID(s) @ °
Showing most recent 1,000 events.
Il S A=V
afew DeviceID  9ccéafbl-cAda-4476-b227-2a2e745(b9d9 (D) August 17, 2023 @ CopyURL
. 5:47:23.618 pm UTC
seconds Family, 0S  Samsung Phone, -
En ion
5:47:23 pm ®  End Session O d Sessio
Event ID 456772602
5:47:23 pm ® Logln O -
Session ID 1692294443617
5:47:23 pm ®  Start Session OJ
afew Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9 User Properties
seconds Family, 0S  Samsung Phone, -
@ User ID 4847920554288293889
9:55:37 ®  End Sessi
am nd session O @ Device ID 9ccbafbl-cAda-4476-b227-2aae745fH9d9
9:66:37 am ® Llogln O @ Platform Android
9:55:37 am ®  Start Session O @ Device Type Samsung Galaxy S10
@ Version 1.0
August 16, 2023 -
@ Library http/1.0
2 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9 @ Country B= United States
Family, 0S  Samsung Phone, - _
+=+ See all other 18 User properties
4:09:59 pm ®  End Session OJ
4:09:59 pm ®  Search for Items OdJ
Other Demo Guide e
3:57:46 pm ®  Main Landing O . .
Client Event Time Aug 17, 5:47:23 pm UTC
|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.
&« AUG 2023
August 23, 2023
August 23, 2023 C) 10416:09.682 pm UTC SU MO TU WE TH FR SA
2 hours DeviceID  9ccéafbl-cAda-4476-b227-2aae745fb9d9 End Session s 23 4s
Family, 0S  Samsung Phone, - 6 7 8 9 10 11 12
Event ID 922618181
10:16:09pm @  End Session O 13 14 15 16 17 19
Session ID 1692823521711
10:16:09pm @  Search for Items O 20 21 22 23 24 25 26
27 28 29 30 31 1 2
9:58:06 pm ®  Main Landing O .
User Properties 3 4 5 6 7 8 9
9:12:22pm @  Complete Profile 0 @ User ID 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 OJ e
@ 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 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 1,000 events.
afew DeviceID  9ccbafbl-cAda-4476-b227-2aae745fb9d9 May 3, 2023 I P
L nfo | Raw | ¢? CopyURL

seconds Family, 0S  Samsung Phone, - © 5:02:53.401 pm UTC
4:17:44 am O  [Experiment] Assignment E] Start Se$$|0n

Event ID 342428441
May 3, 2023 Session ID 1683133373402
4 hours Device ID 9ccbafbl-c4da-4476-b227-2aae745fb9d9

Family, OS Samsung Phone, -
) User Properties

9:03:22 pm ®  End Session OJ

@ User ID 4847920554288293889
9:03:22 pm ® Addto Cart OJ -~

@ Device ID 9ccéafbl-c4da-4476-b227-2aae745fb9d9
8:24:05 pm ®  View Recommended Item O @ Platform Android
7:25:41 pm ® Addto Cart O @ Device Type Samsung Galaxy S10
7:12:14 pm ®  View Recommended Item O @ version 1.0
70218pm @  Addto Cart 0 @ Library http/1.0

@ Country == United States
6:57:28 pm ® View Item Details OdJ

+=+ See all other 18 User properties
6:35:35 pm ®  Search for Items E]
6:00:07 o i i
pm Main Landing O Other Demo Guide e

5:02:53 pm ¢ logln 0 Client Event Time May 3, 5:02:53 pm UTC
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences  Experiment Ak QO A 3 @ @&
Event Stream Live event updates C’
All Event(s) Select Event(s) from select Device ID(s) @ @ @ @
Showing 250 events. Date jumped to August 01.
8:39:22 pm ®  View Item Details [ August 1, 2023
’ P
C) 10:12:06.687 am UTC @ CopyURL
8:15:17 pm ®  Search for Items L
Start Session
7:52:43 pm ®  Main Landing OJ
Event ID 371235432
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screenPatterns:
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Acknowledgement & Success

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Thank you for your interest in Predictive Cohort templates

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I
New Cohort Cancel  Back

Thank you for your interest in Predictive Cohort templates

Predictive cohort templates are currently under development. We can notify you when they are available. For now, you can use our

predictions feature to build your own custom predictions.

If you are interested in influencing this feature development, please let us know and our team will get in touch with you.

[J  Notify me when this is available

[[J Iaminterested in participating in a 30 minute call to discuss my use cases
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Organization settings

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screenPatterns:
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pageType: Application Application Application Application Application Application Application Application Application

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Conversion Drivers notebock (@301 45
Converted Paths Dropoff Paths

Analyze behaviors performed before conversion Conversion Step

between this step |Step 1: User Sign Up | and this step Step 3: Purchase Subscription during the last 30 days .
Event Name Correlation Score Frequency % Who Did Event Time Between Steps
Select Recommended Item +0.65 1.60 95.6% 9h 6m 29s

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Expand By Propery View Correlation Data Hide Evorwt‘
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Marking as read

pageType: 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 @ @
—
Notifications % Edit notification settings ~ Mark all 4 as read
o
Updates  Alerts
I
Ecommerce v Showing custom alerts in the last 30 days @ Manage Custom Alerts

Alert Name Condition Date Triggered ~
Alert: "C lete Purch. Checkout - U...

N ert: "Complete Purchase vs Checkou \N\M/\A}\\/\N\@ ~0.16 is below the threshold value of 100 August 18, 2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch. Checkout - U...

N er omplete Furchase vs Lheckou ~1.38 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch. Checkout - U...

N7 er omprete Furchase vs Lheckou ~0.56 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch. Checkout - U...

N7 er omprete Furchase vs Lheckou . +2.32 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe 5

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 @ @
—
Notifications % Edit notification settings ~ Mark all as read
Updates  Alerts
I
Ecommerce v Showing custom alerts in the last 30 days @ Manage Custom Alerts
Alert Name Condition Date Triggered ~
Alert: "C lete Purch Checkout - U...
A ert: "Complete Purchase vs Checkou \N\M/\A}\\/\N\@ ~0.16 is below the threshold value of 100 August 18, 2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch Checkout - U...
N er omplete Furchase vs Lheckou ~1.38 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch Checkout - U...
N7 er omprete Furchase vs Lheckou ~0.56 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe
Alert: "C lete Purch Checkout - U...
N7 er omprete Furchase vs Lheckou . +2.32 is below the threshold value of 100 August 18,2023, 11:12 am
Sent To Jane Doe .
Demo Guide e


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