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What is the value of this report?

In this page the focus is on the orders.

the key metrics are shown as score cards.

to show the evolution of the orders we use a combined time series chart.

the distribution of the key dimensions are shown in pie chart.

a table showing key metrics and running percent for a key dimension.

a scatter chart visualizing 3 key metrics.

How to use this report?

drill down in the pie chart/scatter chart or table to select a different dimension

select the suiting metrics from the optional tab.

Key Dimensions

  • Price Level

  • Margin Level

  • Number of Products

  • Product Quantity

Other Dimensions & Filters

  • Time Selector: session_start_ts, order_tm

  • Source:

Key Metrics

  • AOV

  • AOM

  • Number of Products

  • Product Quantity

  • Orders

  • Orders running %

  • Revenue

  • Revenue running %

...

(copy of main)

This report is a dashboard, mixing 8 different key information about your Website performance (by default over the last 30 days):

Section description

Type

Position

1

Sessions, Session Transactions and Conversion Rate

Time charts

1st row (left)

2

Online & Offline Transactions and Revenue

Time charts

1st row (right)

3

Widget Displays, Clicks, Click Unique Purchases and Click Revenue

Pie charts

2nd row (left)

4

Unique Purchases per day (and Revenue/Margin) of top 10 products

Time chart

2nd row (center)

5

Current and past A/B Tests

Table

2nd row (right)

6

Volume( Requests), Unique Purchases and Click Revenue of top searches

Table

3rd row (left)

7

Unique Purchases per day (and Revenue/Margin) of top 10 values of product properties (brand)

Time chart

3rd row (center)

8

Latest Winning Interaction Alerts

Table

3rd row (right)

...

Reporting Metrics

Name

Abbreviation

Optional

Sections

Sessions Metric

Sessions

1.1

Session Transactions Metric

Session Transactions, S:Transactions

1.2

Session Conversion Rate

S:CR, Session CR

1.3

Online Transactions Metric

Online Transactions, Online T#

2.1

Offline Transactions Metric

Offline Transactions, Offline T#

2.2

Online Revenue Metric

Online Revenue, Online $

2.3

Offline Revenue Metric

Offline Revenue, Offline $

2.4

Displays Metric

Displays

3.1

Clicks Metric

Clicks

3.2

Click Unique Purchases Metric

Click Unique Purchases, Click UPs

3.3, 6

Click Revenue Metric

Click Revenue, Click $

3.4, 6

Requests Metric

Requests

6

Revenue Metric

Revenue, $

YES

4, 7

Margin Metric

Margin, M.

YES

4, 7

Purchase Quantity Metric

Purchase Quantity

YES

4, 7

Unique Purchases Metric

Unique Purchases, UPs

YES

4, 7

Unique Purchases per Day Metric

Unique Purchases per Day

4,7

A/B Test CTR Change

CTR Change, CTR 𝚫

5

A/B Test BTR Change

BTR Change, BTR 𝚫

5

A/B Test BTR Confidence

BTR Conf.

5

Yearly Revenue Increase Metric

Yearly Revenue Increase

5

Alert Metric Value

Value

8

Alert Metric Prior Day Value

Prior Day Alert Value, Prior Day Value

8

Alert Metric Value Change

%𝚫

8

Alert Metric Value Difference

Difference, Diff.

8

Reporting Dimensions

Name

Abbreviation

Sections

Widget Segment

Widget

3, 5

Product Title

P. Title, Title

4

A/B Test Start Date

Start

5

A/B Test End Date

End

5

A/B Test Winner Variant

Winner

5

Site Search Term

Search Term

6

Product Property Value

P.P. Value, PP:Value

7

Alert Date

Date

8

Alert Segment

Segment

8

Alert Metric

Metric

8

Reporting Filters

Name

Abbreviation

Default value

Sections

Device Category

Device

Traffic Channel

Channel

Session Language

Language

Returning Visitor

Returning

Order System

O. Sys. , O:Sys

A/B Test Widget Segment

A/B Test Status

Status

running, success

5

A/B Test Device Category

all devices

5

Product Title

P. Title, Title

4

Product Property Name

P.P. Name, PP:Name

brand

7

Alert Segment

Segment

8

Alert Metric

Metric

8

Advanced

Expand
titleAdvanced Technical details
  • The widget “search” is used as a filter on the Search Table

  • If the winner of an A/B Test is the control variant, the CTR Change and BTR Change are calculated by using the next best Variant (in terms of BTR Change) and are therefore negative

  • The language drop down filter has a filter on it which excludes “null” values