Exporting a model

screenElements:
Loading Indicator
Accordion
Divider
Tile
Card
Badge
Switch
Radio Button
Tile

screenPatterns:
Loading
Import & Export
Upload & Download
Import & Export

pageType: Application Application Application Application Application Application Application Application Application Application Application Application Application Application Application Application Application

screenKeywords:
» & Models / %27 2024 Forecast + M= Spreadsheet ¥ Dashboard 0 ®MMCharts sa @M D Versions ®R Share &
Q P A
© Monthly, Jan‘23-Dec 24 v+ (2 Models @ Scenarios Export & download +
+
Q  Search variables VIEWS Select a cell to see its formula 2024 Forecast
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v INPUTS @
=]
e 4 Initial customers 100 100 100 100 100
3 » @ Revenue $75 $75 $75 $75 $75
4 Profit margin 50% 50% 50% 50% 50%
/. Growth 8.5% 8.5% 8.5% 8.5% 8.5%
+ Add Variable
v CALCULATIONS
+ Customers _// 100 109 118 128
» @ Revenue // $7,500 $8,138 $8,831 $9,583 $
» @ Profit margin . $3,750 $4,069 $4,415 $4,791 g
+ Add Variable
v OPERATING EXPENSES
4+ Rent 2k 2,000 2,000 2,000 2,000
4 Utilities 1k 1,000 1,000 1,000 1,000
+ Add Variable
)
) & Product type W Categories ~ @ Data Sources ¥ e /
|» & Models / %27 2024 Forecast + M= Spreadsheet ¥ Dashboard 0 ®WCharts &a @ D Versions ®R Share &
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+
Q Search variables VIEWS Select a cell to see its formula
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v INPUTS @
=]
e 4 Initial customers 100 100 100 100 100 100 100 100
)] ~ @ Revenue $100 $100 $100 $100 $100 $100 $100 $100
Product 1 $50 $50 $50 $50 $50 $50 $50 $50
Product 2 $50 $50 $50 $50 $50 $50 $50 $50
4 Profit margin 50% 50% 50% 50% 50% 50% 50% 50%
/. Growth 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5%
+ Add Variable
v CALCULATIONS
+ Customers // 100 109 118 128 139 150 163
» @ Revenue _// $10,000 $10,851 $11,774 $12,777 $13,865 $15,047 $16,329
» @ Profit margin _// $5,000 $5,425 $5,887 $6,388 $6,933 $7,523 $8,165
+ Add Variable
v OPERATING EXPENSES
4+ Rent 2k 2,000 2,000 2,000 2,000 2,000 2,000 2,000
4 Utilities 1k 1,000 1,000 1,000 1,000 1,000 1,000 1,000
+ Add Variable
)
) & Product type W Categories ~ @ Data Sources ¥ e /
|New export
1 Export definition Export content
What do you want to export?
@ Raw »
Current Version Named Version
2 Content Choose a version
Describe what you aim to export
M Named Version >
No named versions
SIarget Additionally exported columns @
Scenario @ @
Section Name @
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Group Name @
|New export
1 Export definition Export target
What should the output of the export be?
@ Raw »
s Download & External Sync
Coming soon
2 Content
Describe what you aim to export
. B csv Delimiter
M Current Version >
B Excel
3 Target
aa Download >
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|» & Models / %27 2024 Forecast + M= Spreadsheet ¥ Dashboard 0 ®MMCharts sa @M D Versions ®R Share &
Q A
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+
Q| Search variables VIEWS Select a cell to see its formula ¢
A
@ Today .” Expand All  Rollup: Yearly FORMULA @ & JAN 23 FEB 23 MAR ‘23 APR ‘23 y e e e (o) G
v INPUTS @
=]
e 4 Initial customers 100 100 100 100 100
3 » @ Revenue $75 $75 $75 $75 $75
4 Profit margin 50% 50% 50% 50% 50%
/. Growth 8.5% 8.5% 8.5% 8.5% 8.5%
+ Add Variable
v CALCULATIONS
+ Customers _// 100 109 118 128
» @ Revenue // $7,500 $8,138 $8,831 $9,583 $
» @ Profit margin . $3,750 $4,069 $4,415 $4,791 !
+ Add Variable
v OPERATING EXPENSES
4+ Rent 2k 2,000 2,000 2,000 2,000
4 Utilities 1k 1,000 1,000 1,000 1,000
+ Add Variable
)
) & Product type W Categories ~ @ Data Sources ¥ e /
|» & Models / %27 2024 Forecast + M= Spreadsheet ¥ Dashboard 0 ®MMCharts sa @M D Versions ®R Share &
Q . “ :
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+
Q Search variables VIEWS Select a cell to see its formula 2024 Forecast .
B Raw a4 Download @
@ Today .” Expand All  Rollup: Yearly FORMULA @ & JAN 23 FEB ‘23 MAR 23 APR ‘23 y
v INPUTS @
=]
e 4 Initial customers 100 100 100 100 100
3 » @ Revenue $75 $75 $75 $75 $75
4 Profit margin 50% 50% 50% 50% 50%
/. Growth 8.5% 8.5% 8.5% 8.5% 8.5%
+ Add Variable
v CALCULATIONS
+ Customers _// 100 109 118 128
» @ Revenue // $7,500 $8,138 $8,831 $9,583 $
» @ Profit margin . $3,750 $4,069 $4,415 $4,791 !
+ Add Variable
v OPERATING EXPENSES
4+ Rent 2k 2,000 2,000 2,000 2,000
4 Utilities 1k 1,000 1,000 1,000 1,000
+ Add Variable
)
) & Product type W Categories ~ @ Data Sources ¥ e /
|New export
1 Export definition Export target
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@ Raw »
s Download & External Sync
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2 Content
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M Current Version >
3 Target
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|New export
1 Export definition Export content
What do you want to export?
@ Raw »
Current Version Named Version
2 Content
Describe what you aim to export All values
M Current Version >
Use a View to filter the exported values @
3 Target Additionally exported columns @
Scenario @ @
Section Name @
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|New export
1 Export definition Export target
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@ Raw »
s Download & External Sync
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2 Content
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B csv Comma
M Current Version > °
B Excel
3 Target
aa Download >
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|New export
1 Export definition Export name
2024 Forecast
2 Content
Describe what you aim to export How should the exported values be formatted?
Raw values
3 Target Values without any kind of formatting
Formatted values
Properly organised and formatted spreadsheet files
Cancel
-— -—
|New export
1 Export definition Export name
2 Content
Describe what you aim to export How should the exported values be formatted?
Raw values
3 Target Values without any kind of formatting
Formatted values
Properly organised and formatted spreadsheet files
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-— -—
|New export
1 Export definition O Allvalues
® Raw 4 Use a View to filter the exported values @
2 Content Include linked models
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M Current Version N Additionally exported columns @
Scenario @ @
8 Target Section Name @
Group Name @
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|» & Models / %27 2024 Forecast + M= Spreadsheet ¥ Dashboard 0 ®MMCharts sa @M D Versions ®R Share &
Q A
© Monthly, Jan‘23-Dec 24 v+ (2 Models @ Scenarios Export & download +
+
Q  Search variables VIEWS Select a cell to see its formula 2024 Forecast
B Raw
@ Today .” Expand All  Rollup: Yearly FORMULA @ & JAN 23 FEB ‘23 MAR 23 APR ‘23 y
v INPUTS @
=]
e 4 Initial customers 100 100 100 100 100
3 » @ Revenue $75 $75 $75 $75 $75
4 Profit margin 50% 50% 50% 50% 50%
/. Growth 8.5% 8.5% 8.5% 8.5% 8.5%
+ Add Variable
v CALCULATIONS
+ Customers _// 100 109 118 128
» @ Revenue // $7,500 $8,138 $8,831 $9,583 $
» @ Profit margin . $3,750 $4,069 $4,415 $4,791 g
+ Add Variable
v OPERATING EXPENSES
4+ Rent 2k 2,000 2,000 2,000 2,000
4 Utilities 1k 1,000 1,000 1,000 1,000
+ Add Variable
)
) & Product type W Categories ~ @ Data Sources ¥ e /
|New export
1 Export definition Export content
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@ Raw »
Current Version Named Version
2 Content
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M Current Version >
© Use a View to filter the exported values @
No Views
3 Target
Additionally exported columns @
Scenario @ @
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cotion Ao o r
|New export
1 Export definition Export name
2024 Forecast
@ Raw »
How should the exported values be formatted?
2 Content
Describe what you aim to export Raw values
Values without any kind of formatting
3 Target
Formatted values
Properly organised and formatted spreadsheet files
-—
|New export

1 Export definition Export content

What do you want to export?
@ Raw »
Current Version Named Version

2 Content
Describe what you aim to export

3 Target
Cancel
|New export
1 Export definition Export content
What do you want to export?
@ Raw »
Current Version Named Version
2 Content
Describe what you aim to export © Allvalues
M Current Version >
Use a View to filter the exported values @
8 Target Include linked models
Additionally exported columns @
Scenario @ @


Adding a segment

appName: Amplitude

appCategory: Business

appTagline: Product analytics & event tracking platform

companyHqRegion: US & Canada

companyStage: Public & Mature

platform: web

pageType: Application

hotspotType: Scroll Vertically

hotspotType: Click

pageType: Application Application Application Application Application Application Application

allAppCategories:
Artificial Intelligence
Business

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
+Filterby  + Group-by Anomaly + Forecast Compare v Computed1minago ) Refresh ~ Line chart v Daily v mm
+ Add Event K
v Meas )
Q Search DEFAULT EVENTS .
v Frequently used events () 5events | Anyevent you are tracking in Amplitude.
Averaf Complete Purchase
fx Form( Addto Cart e
View Item Details
Main Landing
v Segme
Start Session
Augl Aug 3 Aug 5 Aug 7 Aug 9 Aug1l Augl3 Augil5 Augil?7
1 v Al
. All Users, Checkout New Users, Checkout
v Amplitude 3 events @ @
+ Filter by
@ Any Active Event
v N @ AnyEvent > ® [ Exportcsv Q
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+Filterby  + Performed
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
+ Add Segment
@ New Users Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ AllUsers Checkout 954 1,767 2,149 2,170 2,642
A group by clause may only be applied on a single user
segment.
g ) New Users Checkout 954 1,767 2,149 2,170 2,642
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
+Filterby  + Group-by Anomaly + Forecast Compare v Computed1minago ) Refresh ~ Line chart v Daily v mm
+ Add Event K
v Meas )
Q Search DEFAULT EVENTS .
v . . .
mplitude events Any event you are tracking in Amplitude that has not been
Averaj @ Any Active Event > marked as inactive.
Any Event
fx Form © Any
@ New User
v Segme¢ v Custom 1 event
(O Custom event - purchase Augl Aug 3 Aug 5 Aug 7 Aug 9 Aug1l Augl3 Augil5 Augil?7
1 v Al
@ All Users, Checkout @ New Users, Checkout
+Filterby| > Uncategorized 46 events
i v N > Unexpected 4 events ® [ ExportCsv | Q
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+Filterby  + Performed
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
+ Add Segment
@ New Users Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ AllUsers Checkout 954 1,767 2,149 2,170 2,642
A group by clause may only be applied on a single user
segment.
) New Users Checkout 954 1,767 2,149 2,170 2,642
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 Measured as O Advanced v
a . 8k
Uniques Event Totals Active %
Average Frequency Properties v
6k gt
fx Formula
@
E]
T 4k
5
v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H 2k W
+Filterby  + Performed \/_WM i
< °
v New Users X i Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augil5 Augi?
All Users, Complete Purchase New Users, Complete Purchase All Users, Checkout New Users, Checkout
whodid @ New User Y X @ @ @ @
= 1 time
anytime  during (] Last30days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 607 1,135 1,412 1,612 2,064
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 453 539 888 950 1,432
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
A Complete Purchase :
Anomaly + Forecast Compare v A Line chart v Daily v mm
+Filterby  + Group-by
Current Uniques v
B Checkout H e Complete Purchase ® Checkout
) - o - 9
+Filter by  + Group-by 5. 76k 4.92% 2.17k 18.9%
yesterday from Jul 18 yesterday from Jul 18
+ Add Event 8k
v Measured as O Advanced v 6k et
Event Totals Active % "
o
. Z ak
Average Frequency Properties v E
fx Formula o
2k
v Segmentby Anyv Usersv (© Saved v o
Z‘ Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl?
1 v AllUsers H
o Complete Purchase a Checkout
+Filterby  + Performed
+ Add Segment Breakdown by: = Top 2 (Default) v @ @ [ ExportCsv @ Q
Group Segment by Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
+ Select User Property @ Complete Purchase 2,181 5,420 5,545 5,758 6,160 4,802.45
@ Checkout 954 1,767 2,149 2,170 2,642 1,833.81
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
® Complete Purchase ® Checkout
A Complete Purchase : P
5.76k -292% 2.17k -289%
+Filterby  + Group-by ° °
yesterday from Jul 18 yesterday from Jul 18
8k
B Checkout H
+Filterby  + Group-by
6k Lt
+ Add Event
@
E]
T 4k
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o]
v Measured as O Advanced v
Event Totals Active % # W
Average Frequency Properties v
0
fx Formula Z‘ Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl?
o Complete Purchase a Checkout
v Segmentby Anyv Usersv (© Saved v
Breakdown by: = Top 2 (Default) v @ @ [ ExportCsv @ Q
1 v AllUsers :
Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, Aug 17 Row Average v
+Filterby  + Performed
@ Complete Purchase 2,181 5,420 5,545 5,758 6,160 4,802.45
+ Add Segment
@ Checkout 954 1,767 2,149 2,170 2,642 1,833.81
Groun Segsment bv
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
+Filterby  + Group-by Anomaly + Forecast Compare v ~ Line chart v Daily v mm
+ Add Event K
v Measured as O Advanced v 6k ot
Event Totals Active %
g
. T 4k
Average Frequency Properties v [
fx Formula Lt
2k "
v Segmentby Anyv Usersv (© Saved v o
Z‘ Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl?
1 v AllUsers H
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
+Filterby  + Performed
2 v New Users : Breakdown by: = Top 4 (Default) v | () ® B Exportcsv Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 2,181 5,420 5,545 5,758 6,160
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 954 1,767 2,149 2,170 2,642
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
+Filterby  + Group-by Anomaly + Forecast Compare v ~ Line chart v Daily v mm
+ Add Event K
v Measured as O Advanced v 6k ot
Event Totals Active %
g
. T 4k
Average Frequency Properties v [
fx Formula Lt
2k "
v Segmentby Anyv Usersv (© Saved v o
Z‘ Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl?
1 v AllUsers H
@ All Users, Complete Purchase @ All Users, Complete Purchase @ All Users, Checkout @ All Users, Checkout
+Filterby  + Performed
2 v AllUsers H .
Breakdown by: = Top 4 (Default) v (@ @ [ ExportCsv @ Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) AllUsers Checkout 954 1,767 2,149 2,170 2,642
Demo Guide e
Revert to Legacy Controls :


Showing event details

screenPatterns:
User / Group Profile
Timeline & History

screenPatterns:
Other Content
User / Group Profile
Timeline & History

pageType: Application Application Application

screenKeywords:
Event Details X
@ Longitude -
@ os
@ Region New York
@ Start Version 1.0
[Experiment] new-cart-backend on
A/B Test: Onboarding Variant A
A/B Test: Purchase Control
A/B Test: Shopping Control
drop transformation group 5
UTM Campaign new_year_push
UTM Source Facebook
Other
Client Event Time Aug 23, 10:16:09 pm UTC
Client Upload Time Aug 18, 3:45:20 am UTC
Server Upload Time Aug 18, 3:45:20 am UTC
Server Received Time Aug 18, 3:45:20 am UTC
IP Address
Demo Guide o
|Event Details x
August 23, 2023
10:16:09.982 pm UTC
End Session
Event ID 922618181
Session ID 1692823521711
User Properties
@ User ID 4847920554288293889
@ Device ID 9ccbafbl-c4da-4476-b227-2aae745th9d9
@ Platform Android
@ Device Type Samsung Galaxy S10
@ Version 1.0
@ Library http/1.0
@ Country EE United States
@ Carrier T-Mobile
@ City New York
@ Device Family Samsung Phone
@ pmA -
@ ID 552157516583
Demo Guide o
|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


Adding a header

hotspotType: Keyboard Input

pageType: Application 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 ~
. 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%
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-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
Funnel Analysis
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 v More v = [@ Copyas Notebook  (® Add Content v
A You can edit « Owned by Jane Doe
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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
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Jane Doe v
. M v Copy as Notebook Add Content v
Funnel Analysis (Copy) ore B Copy ® ©
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-250%
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@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
Funnel Analysis
Demo Guide e
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Funnel Analysis (Copy) [@ Existing chart
A . 2, Existing cohort
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[/ Create new chart
Filter By: | Daily v Default | 7d | 30d | 60d | 90d | & v Default Project Timezone v 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
|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 ~
. 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%
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-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


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Search Users
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—— 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
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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
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Search for your users or accounts to dive into their specific properties and event path.
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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
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—— Users who have the property(s) Back to Search
User & Accou nt LOO k_ U p ® where @ IPaddress = 128.106.194.2
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


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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
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Realtime event stream ® Realtime users by location ® Realtime users ®
Event Time user @
[Amplitude] Star Today,.. 70439738... @
|@ Recent v Favorites v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Favorite Spaces Your Joined Spaces
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| | 0 st Create New Space demo +2 Invite a new user [ Create a chart
View All Spaces
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{ Recents
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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 @
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ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
@ Recent v Favorites v Spaces v  UserLook-Up  Cohorts & Audiences ~ Experiment Ak QO A 3 @ @&
Ecommerce v ~” Segmentation v () < More v = Addio  Save
o tnoctar a4 [309 ] 600 [ 306 | B~
v Measured as ® Last| 60 v | complete days and today (UTC+00:00)
June 2023 July 2023
Average i Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa
fx Formula 28 29 30 31 1 2 3 1
4 5 6 7 8 9 10 2 3 4 5 6 7 8
v Segmentby Any 11 12 13 14 15 16 17 9 10 11 12 13 14 15
1 v AllUsers 19 20 21 22 23 24 16 17 18 19 20 21 22
+Filterby  + Performed 25 26 27 28 29 30 23 24 25 26 27 28 29 ’
30 31 1 2 3 4 5
v New Users Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augil3 Augl5 Augil?7
, Complete Purchase All Users, Checkout New Users, Checkout
whodid @) New User @ @
. Add Offset Cancel WYsleli%
‘ = 1 time
anytime during (] Last30days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 607 1,135 1,412 1,612 2,064
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 453 539 888 950 1,432
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 Measured as O Advanced v
a . 8k
Uniques Event Totals Active %
Average Frequency Properties v
6k gt
fx Formula
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v Segmentby Anyv Usersv (© Saved v
1 v AllUsers H 2k W
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v New Users X i Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augil5 Augi?
All Users, Complete Purchase New Users, Complete Purchase All Users, Checkout New Users, Checkout
whodid @ New User Y X @ @ @ @
= 1 time
anytime  during (] Last30days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 607 1,135 1,412 1,612 2,064
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 453 539 888 950 1,432
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
wtinoshart v ooty [ 76 [306 ] s08 [ 304 [ @1 |
v Measured as ® Last| 30 v  complete days and today (UTC+00:00)
July 2023 August 2023
Average i Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa
fx Formula 25 26 27 28 29 30 1 1 2 3 4 5
2 3 4 5 6 7 8 6 7 8 9 10 11 12
v Segmentby Any 9 20 11 12 13 14 15 13 14 15 16 17 18 19
1 v AllUsers 16 17 19 20 21 22 20 212 22 23 24 25 26
+Filterby  + Performed 23 24 25 26 27 28 29 27 28 29 30 31 1 2 ‘
30 31 3 4 5 6 7 8 9
$ v New Users Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augl5 Augl7
, Complete Purchase All Users, Checkout New Users, Checkout
whodid @) New User @ @
Add Offset Cancel
‘ = 1 time PPy
anytime  during (] Last30days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 607 1,135 1,412 1,612 2,064
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 453 539 888 950 1,432
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 Measured as O Advanced v
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Event Totals Active %
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6k gt
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v Segmentby Anyv Usersv (© Saved v
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v New Users X i Jul18  Jul20  Jul22  Jul24  Jul26  Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augl3 Augil5 Augi?
All Users, Complete Purchase New Users, Complete Purchase All Users, Checkout New Users, Checkout
whodid @ New User Y X @ @ @ @
= 1 time
anytime during (] Last 60 days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 848 1,841 2,078 2,230 2,708
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 558 777 1,130 1,154 1,646
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
o tnoctar a4 [309 ] 600 [ 306 | B~
v Measured as ® Last| 30 v  complete days and today (UTC+00:00)
|
Uniques Ev. Between
7 August 2023
Average iy Su Sa Su Mo Tu We Th Fr Sa
30 gt
fx Formula 25| 60 1 1 2 3 4 5
2| 90 8 6 7 8 9 10 11 12
v Segmentby Any 9 120 11 12 13 14 15 13 14 15 16 17 18 19 ‘
1 v AllUsers 16 17 19 20 21 22 20 21 22 23 24 25 26 s
+Filterby  + Performed 23 24 25 26 27 28 29 27 28 29 30 31 1 2 ‘
30 31 3 4 5 6 7 8 9
v New Users Jul28  Jul30  Augl  Aug3  Aug5  Aug7  Aug9 Augll Augil3 Augl5 Augil7
, Complete Purchase All Users, Checkout New Users, Checkout
whodid @) New User @ @
Add Offset Cancel
‘ = 1 time PPy
anytime  during (] Last30days Breakdown by: = Top 4 (Default) v (@ @ [BExportcsv  Q
+Filterby  + Performed
Segment Event Sun, Aug 13 Mon, Aug 14 Tue, Aug 15 Wed, Aug 16 Thu, £
+ Add Segment
@ AllUsers Complete Purchase 2,181 5,420 5,545 5,758 6,160
Group Segment by
@ New Users Complete Purchase 607 1,135 1,412 1,612 2,064
A group by clause may only be applied on a single user
segment. @ AllUsers Checkout 954 1,767 2,149 2,170 2,642
) New Users Checkout 453 539 888 950 1,432
Demo Guide e
Revert to Legacy Controls :


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Organization settings PrOﬁ le
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Members Name:
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Labs
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In charge of the design 1
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Organization settings PrOﬁ le
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Plans & Billing
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ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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I L (J NAME O Admin ROLE TEAM EMAIL ~
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Documentation 1€ Kouzmano i ; ;
O ' abbie.kouzmanoff@am| [ Member Viewer Other abbie.kouzmanoff@amplitude.com
i Viewer
O 6 Alex §|mmons I O Viewer Other alex.simmons@amplitude.com
7 alex.simmons@amplity
[ No Access
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. Product
Andrew Lai ; . . .
O @ andrew.lai@amplitude, [ Growth Viewer Operations andrew.lai@amplitude.com
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O @ angela@amplitude.cort Cancel Apply Viewer Sales angela@amplitude.com
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Archana Madhavan ; .
O . archana@amplitude.com Viewer Other archana@amplitude.com
Arjun Devgan . . .
O ﬁ arjun.devgan@amplitude.com Viewer Other arjun.devgan@amplitude.com
Arran McKay . .
O 0 arran@amplitude.com Viewer Customer Success arran@amplitude.com
Aude Id-Hammou Aubert ; .
O .‘ aude@amplitude.com Viewer Other aude@amplitude.com
0O) m Auldrey XE (Sh?(h‘a,r) Viewer Sales audrev.xu@amplitude.com
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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I
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126 Users
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I o [J NAME ROLE TEAM EMAIL ~
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Documentation Abbie Kouzmanoff ’ " .
O ’ abbie. kouzmanoff@amplitude.com Viewer Other abbie.kouzmanoff@amplitude.com
Alex Simmons ; . .
O 6 alex.simmons@amplitude.com Viewer Other alex.simmons@amplitude.com
Amish Patel ; . .
O ’ amish@amplitude.com Viewer Customer Success amish@amplitude.com
O @ :nnd(:er:/vlvaiL@i;mplitude com Viewer Operations andrew.lai@amplitude.com
O @ Angela Meyer Viewer Sales angela@amplitude.com
angela@amplitude.com .
O @ :nr:r'rdaD;iI;me“mde com Viewer Other anir.dayal@amplitude.com
O . QL%Z::;:?niirui\;aczm Viewer Other archana@amplitude.com
O ﬁ :rlj’L:T]desz\elxﬁér;mplitude.com Viewer Other arjun.devgan@amplitude.com
Arran McKay . .
O 0 arran@amplitude.com Viewer Customer Success arran@amplitude.com
Aude Id-Hammou Aubert ; .
O ‘ aude@amplitude.com Viewer Other aude@amplitude.com
0O) ﬂ Auldrey XE (Sh?(h‘a.r) Viewer Sales audrev.xu@amplitude.com
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Documentation O ' Al)k:)t?|iKouzmz-1?off Viewer Other abbie.kouzmanoff@amplitude.com
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Alex Simmons O Viewer ; . .
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Amish Patel ; . .
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Angela Meyer ; .
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Anir Dayal ; . .
O @ anir.dayal@amplitude.com Viewer Other anir.dayal@amplitude.com
Archana Madhavan ; .
O . archana@amplitude.com Viewer Other archana@amplitude.com
Arjun Devgan . . .
O ﬁ arjun.devgan@amplitude.com Viewer Other arjun.devgan@amplitude.com
Arran McKay . .
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Aude Id-Hammou Aubert ; .
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0O) ﬁ Auldrey XE (Sh?(h‘a.r) Viewer Sales audrev.xu@amplitude.com
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Searching Amplitude

screenElements:
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screenPatterns: Search Search

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w How long does it take users to convert?
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43 minutes ago « 0 views
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T L [ - e


Adding a description

screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Demo Guide
Revert to Legacy Controls :
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|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Demo Guide
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. Your changes to "Complete Purchase vs Checkout - Unique Users (All Users vs New Users)" have been saved. X
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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 @ @
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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%


Setting an alert

screenElements:
Text Field
Popover

screenPatterns: Set Set

pageType: Application Application Application Application Application Application Application Application

screenKeywords:
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+ Add Event -
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who did @9 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%
|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
Add conditions for the alert to trigger.
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 = Set Alert
Demo Guide o
|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?

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Cancel BEEFAET]
Demo Guide o
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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Ecommerce v ~” Segmentation v () < JaneDoe v More v Addto . Saved
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Custom Alerts
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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%
|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
this specific value X 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

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Demo Guide o
|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
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+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%
|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
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 = Set Alert
Demo Guide o
|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
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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
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+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%


Asking Amplitude

screenElements:
Skeleton
Floating Action Button
Banner

screenPatterns: Loading Search

screenKeywords:
“4 Ask Amplitude | Beta Ecommerce v X
Intelligently search existing content or create a new chart from a natural language question.
How many users
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Demo Guide o
|“4 Ask Amplitude | Beta Ecommerce v X
Intelligently search existing content or create a new chart from a natural language question.
How many users added products to the cart
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@ What is the average cart value for an order containing a specific product and split by category?
Amplitude Demo
4 months ago « 53 views
@ How many sessions do we have where "Add to Cart" was completed?
Amplitude Demo
6 months ago « 8 views
m FL¥E
hidden.user@amplitude.com
3 months ago « 0 views
@ Which product categories are purchased the most?
Amplitude Demo
10 months ago = 49 views
@ How many new users end up making a purchase based on specific interactions?
Demo Guide o
|“4 Ask Amplitude | Beta Ecommerce v X
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What is my overall retention rate?

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[ [ [

How many unique users perform What is the total number of times What is the funnel conversion

Complete Purchase each week? that users perform Add to Cart by from Main Landing to Checkout?

country?

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Which country has the highest What percent of users do Log In What is the average number of

number of View Item Details? each week? times users do Search for Items

each month?
Demo Guide o
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Explore Recent  Drafts  Saved Favorites
Explore Amplitude
[ Introduction to Amplitude # 08 Quick Questions £
12 blocks 12 charts
Welcome! Below is a sample dashboard
to help you get familiar with Amplitude.
The charts you see are powered by a B...
Saved 15 days ago * 11,659 views Saved a month ago « 10,564 views
Explore Developer Documents
Amplitude Developer Center
Get started integrating, instrumenting, and extending Amplitude's products
CEAUVANGITIGEN [ Getting Started [/ Go To Community
Explore Amplitude Academy
T L [ - e
|“4 Ask Amplitude | Beta Ecommerce v X
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Demo Guide o


Switching organization

screenElements:
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screenPatterns:
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screenKeywords:
@ Amphtude Explore Demo  Invite (@ &
GETTING STARTED WELCOME TO AMPLITUDE, JANE!
O Customize your guide First, let’s customize your guide
The info you provide helps us customize suggestions for you to get started.
O Send your data
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T ==
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JD Mobbin

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|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
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Daily Active Users (DAU) Breakdown of users by New users Average session length
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Event Time user @
[Amplitude] Star Today,.. 70439738... @
|@ Recent v Templates  Spaces v User Look-Up  Cohorts & Audiences  Experiment  Data Qa n 3 & 0O
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GETTING STARTED WELCOME TO AMPLITUDE, JANE!
. . Flr t l t’ t miZ r | Switch organization
& Customize your guide 'S )€ S'CUS o e YOU gu de
The info you provide helps us customize suggestions for you to get started. Explore demo
O Send your data
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O View live data Send data with an Amplitude SDK or API
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Filtering segments

screenPatterns: Charts Dashboard

screenKeywords:
ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
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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
|ACIVETCRT N ANR G WA N [ T [Tl Start sending data [e]g
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ﬂ 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%
|E| @ 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
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
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> JaneDoe v More v Addto Save
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0 Dashboards « 0 Notebooks
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Current Uniques v
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@ All Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout Demo Guide e
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Cohorts & audiences

screenElements:
Coach Marks
Tab
Floating Action Button
Banner

pageType: Application Application Application Application Application Application Application Application Application Application

screenKeywords:
You are currently in the Amplitude Demo. o4
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment Q A 2 O® =
Audiences
B ccommerce v Predict which users are most likely to convert or churn, with
automated machine learning
Overview
Cohorts
Computations
I Predictions Lo .
b Prediction - Purchase in the Next 7 Days
Recommendations Analysis  Details
Syncs
81.8% 69.5% 81.8%
Accuracy True Positive Rate False Positive rate
User Profile API
O
Analyzing users inthe 80 %to 99 %
Predict Any Action
From the click of a button, select any
event as the outcome you want to
predict
|You are currently in the Amplitude Demo. o4
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment Q A 2 O® =
N - -
. Analyzing users inthe 80 %to 99 %
Audiences l -
B Ecommerce v

Overview

Cohorts

Computations 0

I Predictions Predict Any Action

From the click of a button, select any

Recommendations event as the outcome you want to
predict

Syncs

User Profile API 0
Automated Machine Learning
Amplitude’s AutoML system will
automatically predict each users
probability to perform the outcome
From Churn Prevention to
Offer Optimization
Use predictions to identify high potential
users for ad targeting, high risk users for
email engagement, or high LTV users to
optimize discounts
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
I
Audiences CO horts = Import from CSV ~ NONNEAeL] s
A place to manage all your cohorts.
m Media Streaming - Analy... v
Overview All Cohorts ~ Synced Cohorts Predictions
I Cohorts
Q Search Filter by project v Filter by editor v Active  Archived

Computations

Predictions [J Name Size Project Last Modified ~ Last Computed Predictive Editors

Recommendations Showing 50 cohorts

Syncs
Users who complete purchase ... 74,699 Ecommerce Jul 13, 2023 Aug 17, 2023 .

User Profile API
[L30 Days] Added to Cart, Didn... 59,571 Ecommerce Jun 13, 2023 Aug 17, 2023 .
Device ID example 42 Media Streaming - Ani Jun 9, 2023 Aug 17, 2023 .
Comma Separated list example 31,039 Media Streaming - Ani Jun 9, 2023 Aug 16, 2023 .
play to purchase in 1h last 3d 81,119 Media Streaming - Ani Jun 8, 2023 Aug 17, 2023 .
test 64,731 BJ B28B Chat - Analytics  Jun 6, 2023 Aug 17,2023 .
(Jacenda) Active Users inthe l... 572,525 Media Streaming - Ani Jun 1, 2023 Aug 17, 2023 .
Play song1~5 33,764 Media Streaming - An: May 28, 2023 Aug 17, 2023 .
country > pop - may 24 60,129 Media Streaming - Ani May 25, 2023 Aug 16, 2023 .
Users who haven't yet upgrade... 0 E B2B Chat - Experimen May 24, 2023 Aug 17, 2023 .
|You are currently in the Amplitude Demo. o4
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
I
Audiences i
Recommendations
B Ecommerce v Recommend the items most likely to increase conversion, with automated machine learning.
Overview
Q. Search Filter by editor v
Cohorts
Computations
NAME CONTENT CATEGORY PROJECT TYPE CREATED AT ~ LAST COMPUTED E
Predictions
) Test Item ID Ecommerce Al Based May 18, 2021 Aug 18, 2023 (
Recommendations
Syncs
User Profile API
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
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User Profile API
Meet Amplitude Audiences Real-time syncs
Audiences (formerly known as Recommend) enables personalization via powerful Unlock engagement via real-time targeted experiences and messaging, using
user segmentation and targeting capabilities. Check out the blog to see what’s audience lists that refresh every minute.
new.
Read the blog Learn More
Recents
ifi Checkout in United States ifi Complete Purchase ifi [L30 Days] Added to Cart, Didn't Purchase...
Cohort last modified 8 minutes ago Cohort last modified 20 hours ago Cohort last modified 21 hours ago
NaN Users NaN Users NaN Users
Sync User Profile API
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
Audiences Recents
B Ecommerce v ifi Checkout in United States ifi Complete Purchase ifi [L30 Days] Added to Cart, Didn't Purchase...
Cohort last modified 8 minutes ago Cohort last modified 20 hours ago Cohort last modified 21 hours ago
o .
verview NaN Users NaN Users NaN Users
Cohorts
Computations Sync User Profile API
Predictions
Recommendations NAME TYPE DESTINATION LAST SYNCED AT ~
Syncs
[L30 Days] Added to Cart, Didn't Purchase Cohort @ Braze Aug 18,2023
User Profile API
[L30 Days] Added to Cart, Didn't Purchase Cohort @ Braze Aug 18,2023
Users who complete purchase >=1x Cohort @ User Profile API Aug 11, 2023
[L30 Days] Added to Cart, Didn't Purchase Cohort @ Braze (User Property) -
cohortbb Cohort @ Braze -
snTestCohort Cohort @ Braze -
View All
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
I
Audiences . . x = Import from CSV ~ N@R ALl
Welcome to our new navigation!
m Media Streaming - Ar
Experiment and Audiences now share our new navigation
Overview
We’re bringing the full power of Amplitude under one central location. Now you can manage Audiences,
I Cohorts Experiments, Feature Flags, and Reports globally from the top navigation.
ived
Computations All Amplitude apps are now under "app.amplitude.com/"
Predictions ified ~ Last Computed Predictive Editors
Recommendations
Syncs =
Users who complete purchase ... 74,699 Ecommerce Jul 13, 2023 Aug 17, 2023 .
User Profile API
[L30 Days] Added to Cart, Didn... 59,571 Ecommerce Jun 13, 2023 Aug 17, 2023 .
Device ID example 42 Media Streaming - Ani Jun 9, 2023 Aug 17, 2023 .
Comma Separated list example 31,039 Media Streaming - Ani Jun 9, 2023 Aug 16, 2023 .
play to purchase in 1h last 3d 81,119 Media Streaming - Ani Jun 8, 2023 Aug 17, 2023 .
test 64,731 BJ B28B Chat - Analytics  Jun 6, 2023 Aug 17,2023 .
(Jacenda) Active Users inthe l... 572,525 Media Streaming - Ani Jun 1, 2023 Aug 17, 2023 .
Play song1~5 33,764 Media Streaming - An: May 28, 2023 Aug 17, 2023 .
country > pop - may 24 60,129 Media Streaming - Ani May 25, 2023 Aug 16, 2023 .
Users who haven't yet upgrade... 0 E B2B Chat - Experimen May 24, 2023 Aug 17, 2023 .
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment Q A 2 O® =
Audiences Recents
B Ecommerce v ifi Checkout in United States ifi Complete Purchase ifi [L30 Days] Added to Cart, Didn't Purchase...
Cohort last modified 8 minutes ago Cohort last modified 20 hours ago Cohort last modified 21 hours ago
Overvi
verview NaN Users NaN Users NaN Users
Cohorts
Computations Sync User Profile API
Predictions
Recommendations API Calls Today 0 % Successful Calls 100% 500 Errors 0 400 Errors 0
Syncs
User Profile API CALLTIME ~ USER ID STATUS
May 28, 2021, 5:31:21 pm - A 404
May 28, 2021, 5:31:21 pm - A 404
May 28, 2021, 5:31:21 pm - A 404
May 28, 2021, 5:31:21 pm - A 404
May 28, 2021, 5:31:21 pm - A 404
View All
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v UserLook-Up  Cohorts & Audiences  Experiment Q A 2 O® =
Audiences Recents
B Ecommerce v ifi Checkout in United States ifi Complete Purchase ifi [L30 Days] Added to Cart, Didn't Purchase...
Cohort last modified 8 minutes ago Cohort last modified 20 hours ago Cohort last modified 21 hours ago
o .
verview NaN Users NaN Users NaN Users
Cohorts
Computations Sync User Profile API
Predictions
Recommendations API Calls Today 0 % Successful Calls 100% 500 Errors 0 400 Errors 0
Syncs
User Profile API CALLTIME ~ USER ID STATUS
August 17, 2023, 12:05:15 am 7169386442420455425 200
August 17, 2023, 12:05:15 am 4316683747869771777 200
August 17, 2023, 12:05:15 am 2766361097124573185 200
August 17, 2023, 12:05:15 am 1469670326988680193 200
August 17, 2023, 12:05:15 am 388284420252063745 200
View All
|ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Recent v  Favorites v Spaces v  UserLook-Up  Cohorts & Audiences  Experiment GAsk Q A 83 @ @
Explore Recent  Drafts  Saved Favorites
Explore Amplitude
[ Introduction to Amplitude # 08 Quick Questions £
12 blocks 12 charts
Welcome! Below is a sample dashboard
to help you get familiar with Amplitude.
The charts you see are powered by a B...
Saved 15 days ago * 11,659 views Saved a month ago « 10,564 views
Explore Developer Documents
Amplitude Developer Center
Get started integrating, instrumenting, and extending Amplitude's products
CEAUVANGITIGEN [ Getting Started [/ Go To Community
Explore Amplitude Academy
T L [ - e


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NAME LAST VIEWED
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|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
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This chart is to view the number of completed purchases vs users who checkout
A Complete Purchase H
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B Checkout H
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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%
|Share Embed  View History
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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) :
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This chart is to view the number of completed purchases vs users who checkout
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Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
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@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
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
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) :
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This chart is to view the number of completed purchases vs users who checkout
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Anomaly + Forecast Comparing to previous month v ¥ X ~ Line chart v
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3 400% Account used for Integration
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Jun 5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
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 ~ 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) :
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This chart is to view the number of completed purchases vs users who checkout
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3 400% Account used for Integration
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S » This looks promising!
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Jun 5 Jun 12 Jun 19 Jun 26 Jul3 Jul10 Jul17 Jul 24 Jul31 Aug 7 Aug 14
@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
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 @ @
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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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800%
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§ @ Jane D afew seconds ago I@ Va
3 400% Account used for Integration
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@ All Users, Complete Purchase @ New Users, Complete Purchase @ All Users, Checkout @ New Users, Checkout
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%


Disabling request access

screenElements: Drawer Switch

screenElements: Switch Drawer Switch

screenKeywords:
Advanced Settings
Allow Team Members to Request Access
Team members will need to be individually invited to join Amplitude by an
admin or manager of your organization.
(P visabled
|@ Recent v Favorites v Spaces v User Look-Up  Cohorts & Audiences ~ Experiment  Data Q A & O =
Organization settings Team Mem bers
General
Plans & Billing Pending Users Bulk Transfer Edit Access  Advanced Settings [ Export CSV  [INIEEN AV
Projects
Members = Total Users Joined Users Pending Users Users Requesting Access
SSO Settings <
Access & Discovery
Content Access Q_  Search name or email Filter by Role & Team v
User Privacy Notifications
2 Users
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[J NAME ROLE EMAIL ~
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ane Doe . . . .
brofile O @ doe.mobbin@gmail.com Admin jdoe.mobbin@gmail.com
- John Smith N . .
Notifications O @ {smith. mobbin@gmail.com Member v jsmith.mobbin@gmail.com
Year In Review
|Advanced Settings
Allow Team Members to Request Access
Team members who want access to Amplitude will be able to request it
from the login page, prompting admin approval.
Enabled


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screenKeywords:
ACUETCRL AT R ERA [ ] HTe SN 111 (oK or
@ Success. "Complete Purchase vs Checkout - Unique Users (All Users vs New Users)" has been saved. 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 Users vs Y
0 Dashboards « 0 Notebooks
~ New r
v Events & Event Explorer e Use s)
What question does this chart answer? Enter a description here.
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%
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o
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3
2 400%
v Measured as © Advanced v °
o
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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 %
® N . \_/ A N \_/ -/ \/ _ S \J
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 :
+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
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@ New Users Complete Purchase 19.8% 80.1% 262% 137% 37.6%
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|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
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+ Add Event th, 200% ,\ ’. N
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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
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
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Complete Purchase vs Checkout - Unique Users (All
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Complete Purchase vs Checkout - Unique Users (All Use
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User look-up

screenElements:
Table
Floating Action Button
Banner

screenKeywords:
@ 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 users
Manage Columns (5) v Filter By Events v Live event updates C’
Time User Id Event Platform Country
in 5 days 8352663299473020929 End Session Web United States
in 5 days 8352663299473020929 Main Landing Web United States
in 5 days 7933488023159482369 End Session Web Brazil
in 5 days 7933488023159482369 View Item Details Web Brazil
in 5 days 7933488023159482369 Filter Search Results Web Brazil
in 5 days 8352663299473020929 Log In Web United States
in 5 days 8352663299473020929 Start Session Web United States
in 5 days 7933488023159482369 Search for Items Web Brazil
in 5 days 7933488023159482369 Main Landing Web Brazil
in 5 days 5388287976856231937 End Session Android United States
in 5 days 5388287976856231937 View Reviews Android United States
in 5 days 4886698092645744641 Search for Items Web United
in 5 days 4886698092645744641 Main Landing Web 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 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
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