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Page 1: ATG Reports Guide - product version: 10 - Oracle...content, products, and services. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred

Version 10.2

Reports Guide

Oracle ATG

One Main Street

Cambridge, MA 02142

USA

Page 2: ATG Reports Guide - product version: 10 - Oracle...content, products, and services. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred

ATG Reports Guide

Product version: 10.2

Release date: 04-30-13

Document identifier: ReportsGuide1403311801

Copyright © 1997, 2013 Oracle and/or its affiliates. All rights reserved.

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are

protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy,

reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any

means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited.

The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please

report them to us in writing.

If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government,

the following notice is applicable:

U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the

hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable

Federal Acquisition Regulation and agency-specific supplemental regulations. As such, use, duplication, disclosure, modification, and

adaptation of the programs, including any operating system, integrated software, any programs installed on the hardware, and/or

documentation, shall be subject to license terms and license restrictions applicable to the programs. No other rights are granted to the U.S.

Government.

This software or hardware is developed for general use in a variety of information management applications. It is not developed or intended

for use in any inherently dangerous applications, including applications that may create a risk of personal injury. If you use this software or

hardware in dangerous applications, then you shall be responsible to take all appropriate fail-safe, backup, redundancy, and other measures

to ensure its safe use. Oracle Corporation and its affiliates disclaim any liability for any damages caused by use of this software or hardware in

dangerous applications.

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

Intel and Intel Xeon are trademarks or registered trademarks of Intel Corporation. All SPARC trademarks are used under license and are

trademarks or registered trademarks of SPARC International, Inc. AMD, Opteron, the AMD logo, and the AMD Opteron logo are trademarks or

registered trademarks of Advanced Micro Devices. UNIX is a registered trademark of The Open Group.

Portions of this product may contain the following: EditLive Authoring Software Copyright © 2004 Ephox Corporation. All rights reserved.

Some code licensed from RSA Security, Inc. Some portions licensed from IBM, which are available at http://oss.software.ibm.com/icu4j/.

This product may include software developed by the Apache Software Foundation (http://www.apache.org/). Spell checking software from

Wintertree Software Inc. The Sentry Spell Checker Engine © 2000 Wintertree Software Inc. This product also includes software developed

by the following: Free Software Foundation, GNU Operating System, Incanto, JSON.org, JODA.org, The Dojo Foundation, Adobe Systems

Incorporated, Eclipse Foundation and Singular Systems.

The software is based in part on the work of the Independent JPEG Group.

This software or hardware and documentation may provide access to or information on content, products, and services from third parties.

Oracle Corporation and its affiliates are not responsible for and expressly disclaim all warranties of any kind with respect to third-party

content, products, and services. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred due to

your access to or use of third-party content, products, or services.

For information about Oracle's commitment to accessibility, visit the Oracle Accessibility Program website at http://www.oracle.com/pls/

topic/lookup?ctx=acc&id=docacc.

Access to Oracle Support: Oracle customers have access to electronic support through My Oracle Support. For information, visit http://

www.oracle.com/pls/topic/lookup?ctx=acc&id=info or visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=trs if you are hearing

impaired.

The MIT License

Copyright (c) 2007 FlexLib Contributors. See: http://code.google.com/p/flexlib/wiki/ProjectContributors

Page 3: ATG Reports Guide - product version: 10 - Oracle...content, products, and services. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the

"Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute,

sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following

conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE

WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS

OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR

OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Page 4: ATG Reports Guide - product version: 10 - Oracle...content, products, and services. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred
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ATG Reports Guide v

Table of Contents

1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

2. Accessing Dashboards and Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

3. Reporting Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Default Date Range . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Gross Revenue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Net Revenue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Revenue Attributed to Promotions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Filtering Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

4. Dashboards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

ATG Web Commerce Performance Dashboard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

ATG Product Performance Dashboard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

ATG Promotion Performance Dashboard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

ATG Search Performance Dashboard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

5. Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Site Traffic Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Hourly Traffic (Week/Week) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Key Conversion Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Key Traffic Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Site Conversion Analysis (Week/Week) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Weekly Traffic (Week/Week) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Sales Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Age Group Sales Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Channel Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Gender Sales Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Key Product Sales Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Key Sales Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Product Sales Share . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Sales Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Sales Component Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Segment Order Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Segment Sales Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Site Order Analysis (Week/Week) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

SKU Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

Top Product Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

Promotions Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

Age Group Promotional Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Avg Order Discount Per Site . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Discounted Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Gender Promotional Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Key Promotion Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Promotion Summary Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Promotional Revenue Impact . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

Segment Promotional Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

Search Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Key Search Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Query Type Breakdown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Response Time Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Search Conversion Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Search Conversion Funnel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

Search Terms Not in the Dictionary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

Search Terms Not in the Indexed Content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

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vi ATG Reports Guide

Search Terms with No Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

Searches per Visit by Site . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

Searches Resulting in Most Purchases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

Top Firing Search Configuration Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

Top Products associated with Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

Top Search Terms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

Customer Service Center Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

Agent Summary Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

Key Call Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

Key Service Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

Top Product Returns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

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1 Introduction 1

1 Introduction

This book provides information about the business intelligence content that is provided with Oracle ATG Web

Commerce. These analyses are based on the data gathered in the Oracle ATG Web Commerce data warehouse

and they run in the Oracle Business Intelligence Middleware Platform.

You must have installed Oracle Business Intelligence to use the business intelligence content described in this

book. See instructions for deploying the content in Oracle Business Intelligence in the ATG Business Intelligence

Installation and Configuration Guide. See complete information about installing and using Oracle Business

Intelligence in the documentation for that product (http://www.oracle.com/technetwork/middleware/bi-

enterprise-edition/documentation/bi-ee-087853.html).

See information about the Oracle ATG Web Commerce data warehouse and the information it contains in the

ATG Data Warehouse Guide.

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2 1 Introduction

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2 Accessing Dashboards and Analyses 3

2 Accessing Dashboards and Analyses

The dashboards and analyses provided with Oracle ATG Web Commerce run on an Oracle Business Intelligence

server. After the Oracle ATG Web Commerce dashboard and analysis definitions have been deployed on an

Oracle Business Intelligence server you will find a folder labeled “ATG” in the Oracle Business Intelligence catalog

and a category of dashboards also labeled “ATG.”

Oracle ATG Web Commerce and Oracle Business Intelligence are independent products and your organization

may choose to make Oracle Business Intelligence available through a variety of network configurations. Find the

Web address of your Oracle Business Intelligence server from your organization.

To view Oracle ATG Web Commerce dashboards and analyses in the Oracle Business Intelligence user interface:

1. Log in to Oracle Business Intelligence. The Web address for the Oracle Business Intelligence user interface is

typically similar to:

http://server-name:7001/analytics

2. Open an Oracle ATG Web Commerce Business Intelligence dashboard from the Dashboards menu. Choose

Catalog > ATG to browse through individual Oracle ATG Web Commerce Business Intelligence analyses.

See information about the specific dashboards and analyses that are provided with Oracle ATG Web Commerce

in Dashboards (page 7) and Analyses (page 11).

See comprehensive information about working with dashboards and analyses in the documentation for the

Oracle Business Intelligence product (http://www.oracle.com/technetwork/middleware/bi-enterprise-edition/

documentation/bi-ee-087853.html).

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4 2 Accessing Dashboards and Analyses

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3 Reporting Concepts 5

3 Reporting Concepts

This section explains concepts that are important to understand when you interpret the reports provided for

Oracle ATG Web Commerce.

In addition to the concepts specific to Oracle ATG Web Commerce, make sure you understand how to use

the Oracle Business Intelligence reporting tools. See complete information about installing and using Oracle

Business Intelligence in the documentation for that product.

Default Date Range

You can open the analyses provided with Oracle ATG Web Commerce directly from the Oracle Business

Intelligence presentation catalog. Most of the analyses do not include controls for setting the date range for the

data they include. The analyses typically use the date range set by the dashboards that they appear on. If you

open an analysis that has no date range controls, it will select data from the default date range.

The default date range is the 60 day period preceding the current date.

Gross Revenue

Gross revenue is the total price of the items that have been sold. It is calculated by multiplying the number

of items sold by the prices for those items. Gross revenue does not include tax or shipping revenue and it is

calculated before any discounts are deducted.

gross revenue = number of items sold X item price

Net Revenue

Net revenue is the total currency amount that your organization receives as a result of sales. It includes the Gross

Revenue (page 5) for your sales and also the shipping and tax revenue. Any discounts are subtracted from

the net revenue.

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6 3 Reporting Concepts

net revenue = (gross revenue + shipping + tax) - (markdown discounts + promotional discounts)

Revenue Attributed to Promotions

The Oracle ATG Web Commerce data warehouse collects information about the promotional programs that your

customers use. One piece of this information is the currency value of the sales in which those promotions are

used. The revenue resulting from the sales is attributed to the promotions.

The net revenue from sales is attributed to promotions. See information about the way net revenue is calculated

in Net Revenue (page 5).

If a customer uses more than one promotion when making a purchase, the revenue is divided equally between

each of the promotions.

Filtering Options

The filtering options available on the analysis Dashboards (page 7) are explained in the following table.

Component Description

Period Ending The ending date of the date range. Data collected in the data warehouse during the

date range is included in analyses.

The ending date is not inclusive. For example, if you set the period ending date to July

10 and trailing days to two days, analyses will include data collected on July 8 and July

9.

Trailing Days The number of days included in the date range. Data collected in the data warehouse

during the date range is included in analyses.

Site The Web sites that are considered. Data collected in the data warehouse that is

associated with the sites you select is included in the analyses.

Language The search query languages that are considered. Search queries that are associated

with the languages you select are included in the analyses.

This filter is available on the ATG Search Performance Dashboard (page 8).

Product The product that are considered. Transactional data associated with the product you

select is included in the analyses.

This filter is available on the ATG Product Performance Dashboard (page 8).

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4 Dashboards 7

4 Dashboards

Dashboards are a collection of related analyses displayed on one or more pages. You can apply Filtering

Options (page 6) to all the analyses on the dashboard. See information about using dashboards in the

documentation for the Oracle Business Intelligence product (http://www.oracle.com/technetwork/middleware/

bi-enterprise-edition/documentation/bi-ee-087853.html).

ATG Web Commerce Performance Dashboard

The ATG Web Commerce Performance dashboard aggregates data from multiple subject areas. It provides an

overview of the activity associated with your Oracle ATG Web Commerce sites.

You can filter all the pages on the dashboard by individual Web site if your Oracle ATG Web Commerce

application is configured with more than one site. You can also set the period-ending date and number of

trailing days. On the Search page, you can filter analyses by language. See Filtering Options (page 6).

The dashboard includes the pages described in the following table.

Page Description

Sales Displays information about the orders and returns that occurred on your

Web sites. This includes information about the products involved in those

orders and returns and the groups of customers.

Promotions Displays information about the promotional programs that ran on your

Web sites. This includes information about the effect of promotions on

sales revenue and the discounts that were offered.

Traffic Displays information about visits to your Web sites. This includes

information about searches, conversions and registrations. The data on the

traffic page can be filtered by using the Site dashboard prompt.

Search Displays information about the search queries that were submitted at your

Web sites, the time it took to complete the searches, and sales associated

with them. You can filter this page by language.

Contact Center Displays information about activity in your customer service center. This

includes information about individual customer service agents and the

sales and appeasements associated with calls.

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8 4 Dashboards

ATG Product Performance Dashboard

The ATG Product Performance dashboard provides information about the orders and returns for individual

products. It includes information about the site visitors and search queries associated with product orders.

When you open the ATG Product Performance dashboard it is filtered by an individual product. You can change

the product filter and you can filter all the pages on the dashboard by individual Web site if your Oracle ATG

Web Commerce application is configured with more than one site. You can also set the period-ending date and

number of trailing days. See Filtering Options (page 6).

The ATG Product Performance dashboard is not divided into separate pages. Because the analyses on the

dashboard require filtering by product, you must open it by clicking a product link on other analyses.

ATG Promotion Performance Dashboard

The ATG Promotion Performance dashboard provides information about the usage and effect on revenue of

individual promotional programs. It includes information about the number of uses, the product units involved,

discount amounts, and which visitor segments used the promotions.

When you open the ATG Promotion Performance dashboard it is filtered by an individual promotion. You can

change the promotion filter and you can filter all the pages on the dashboard by individual Web site if your

Oracle ATG Web Commerce application is configured with more than one site. You can also set the period-

ending date and number of trailing days. See Filtering Options (page 6).

The ATG Promotion Performance dashboard is not divided into separate pages. Because the analyses on the

dashboard require filtering by product, you must open it by clicking a promotion link on other analyses.

ATG Search Performance Dashboard

The ATG Search Performance dashboard provides information about the way that Oracle ATG Web Commerce

Search is used on your Web sites.

You can filter all the pages on the dashboard by language and by individual Web site if your Oracle ATG Web

Commerce application is configured with more than one site. You can also set the period-ending date and

number of trailing days. See Filtering Options (page 6).

Page Description

Search Activity Displays information about the way the search function has been used and

the response time for search queries

Keyword Analysis Displays information about the words used in search queries. Includes

information about frequently used words and words that produce no results.

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Page Description

Search Merchandising Displays information about the relationship between search queries and sales

on your Web sites. This includes information about how often search rules are

used.

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5 Analyses 11

5 Analyses

This section provides information about the individual analyses that are provided with Oracle ATG Web

Commerce. Analyses are reports that include a small set of related information and are grouped together on

dashboards.

The data presented in analyses is controlled by parameters such as the date range and the Web sites that are

included. If you view an analysis in the context of a dashboard, the filtering options for that dashboard affect the

analysis. If you open an analysis directly from the Oracle Business Intelligence presentation catalog, the default

date range applies to it. See Default Date Range (page 5) and Filtering Options (page 6).

See general information about using analyses in the documentation for the Oracle Business Intelligence product

(http://www.oracle.com/technetwork/middleware/bi-enterprise-edition/documentation/bi-ee-087853.html).

Site Traffic Analyses

The site traffic analyses provide information about the visitors to your Web sites.

Hourly Traffic (Week/Week)

The Hourly Traffic (Week/Week) analysis provides information about the number of site visits that occur during

each one-hour period of the day. It returns results from a two-week period and compares one week with the

other.

The components of the analysis are explained in the following table.

Component Description

# Visits Compares the number of site visits per hour of day that occurred in each

week

# Visits (Week/Week) Shows the percentage change from the previous week to the more recent

week. The value is calculated as shown below:

(later week value - earlier week value) / earlier week value

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12 5 Analyses

Key Conversion Indicators

The Key Conversion Indicators analysis provides information about site visits that include sales.

The components of the analysis are explained in the following table.

Component Description

Conversion Rate The percentage of site visits in which sales occurred

The trend sparkline shows this percentage for each date in the period set by

the period ending date and the number of trailing days.

The following calculation rows show the percentage for the week before the

period ending date, the week before that, and the percent change between

those two weeks.

Gross Revenue per Visit The currency value of the items sold divided by the number of site visits.

See information about the way gross revenue is calculated in Gross

Revenue (page 5).

The trend sparkline shows the average value of sales for each date in the

period set by the period ending date and the number of trailing days.

The following calculation rows show the average value of sales for the

week before the period ending date, the week before that, and the percent

change between those two weeks.

Discounts per Visit The value of promotional discounts that were applied to orders divided by

the number of site visits

The trend sparkline shows the average value of promotional discounts sales

per visit for each date in the period set by the period ending date and the

number of trailing days.

The following calculation rows show the average value of sales per visit

for the week before the period ending date, the week before that, and the

percent change between those two weeks.

Key Traffic Indicators

The Key Traffic Indicators analysis provides information about site visits.

The components of the analysis are explained in the following table.

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5 Analyses 13

Component Description

# Visits The number of user sessions that were opened

The trend sparkline shows the number of user sessions opened on each

date in the period set by the period ending date and the number of trailing

days.

The following calculation rows show the number of user sessions opened

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Avg Page Views The number of Web site pages served divided by the number of user

sessions that were opened

The trend sparkline shows the average number of pages served on each

date in the period set by the period ending date and the number of trailing

days.

The following calculation rows show the average number of pages served

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Avg Duration (seconds) The length, in seconds, of all user sessions divided by the number of user

sessions

User session duration is the number of seconds between the time a new

Web site user session begins and the time that it ends by timing out after

the last server request.

The trend sparkline shows the average session length in the period set by

the period ending date and the number of trailing days.

The following calculation rows show the average session length during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

# Registrations The number of new, external user accounts created for your Web sites

The trend sparkline shows the number of new, external user accounts

created on each date in the period set by the period ending date and the

number of trailing days.

The following calculation rows show the number of new, external user

accounts created during the week before the period ending date, the week

before that, and the percent change between those two weeks.

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Component Description

# Uniquely Identified Visitors The number of individual registered users that visited your Web sites. This

does not include anonymous site visitors.

The trend sparkline shows the number of individual, registered site visitors

on each date in the period set by the period ending date and the number

of trailing days.

The following calculation rows show the number of individual, registered

site visitors during the week before the period ending date, the week

before that, and the percent change between those two weeks.

Site Conversion Analysis (Week/Week)

The Site Conversion Analysis (Week/Week) analysis provides information about the percentage of site visits that

include a purchase. It returns results from a two-week period and compares one week with the other.

The components of the analysis are explained in the following table.

Component Description

Conversion Rate Compares the percentages of site visits that included a purchase in each

week

Conversion Rate (Trailing 7

Day Pct Var)

Shows the percentage change from the previous week to the more recent

week. The value is calculated as shown below:

(later week value - earlier week value) / earlier week value

Weekly Traffic (Week/Week)

The Weekly Traffic (Week/Week) analysis provides information about the number of site visits that occur during

each day of the week. It returns results from a two-week period and compares one week with the other.

The components of the analysis are explained in the following table.

Component Description

# Visits Compares the number of site visits per day of the week that occurred in each

week

# Visits (Week/Week) The percentage change between the number of site visits during the week

before the period ending date and the number of site visits the week before

that

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Sales Analyses

The sales analyses provide information about the purchases that are made on your Web sites and other sales

channels.

Age Group Sales Breakdown

The Age Group Sales Breakdown provides the percentages of the total number of items purchased by registered

Web site users in different age groups. Registered users who do not specify an age group are excluded from the

calculations.

By default, this analysis considers data from the past 60 days. If the analysis is part of a dashboard, the period

ending and trailing days settings for the dashboard will override this default.

The components of the analysis are explained in the following table.

Component Description

Units % Compares the number of items purchased by registered Web site users in

different age groups. Registered users who do not specify an age group are

excluded from the calculations.

Channel Sales

The Channel Sales analysis compares information about the sales that occur through different means within

your organization. The channels for sales include your Web sites and your customer service center.

The components of the analysis are explained in the following table.

Component Description

Avg Order Size Compares the average number of items in the orders that were placed

through each channel. The table above the graph provides the average

number of units in the orders for each channel.

Avg Order Value Compares the average value of the orders that were placed through each

channel. The table above the graph provides the average currency value of

the orders for each channel.

Avg Order Discount Compares the average value of the discounts applied to orders in each

channel. The table above the graph provides the average currency value of

discounts applied for each channel.

The discounts included in this calculation do not include appeasements

applied by customer service agents.

% Orders Compares the percentage of total orders that occurred in each channel. The

table above the graph provides the number of orders for each channel.

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Component Description

% Units Compares the percentage of the total items that were sold in each channel.

The table provides the number of units for each channel.

% Gross Revenue Compares the percentage of gross revenue that was generated by the sales

in each channel. The table provides the currency value of the gross revenue

for each channel.

See information about the way gross revenue is calculated in Gross

Revenue (page 5).

% Discounts Compares the percentage of the total value of discounts applied to the

orders in each channel. The table provides the currency value of the

discounts applied for each channel.

The discounts included in this calculation do not include appeasements

applied by customer service agents.

Gender Sales Breakdown

The Gender Sales Breakdown provides the percentages of the total number of items in purchases by registered

Web site users of different genders. Registered users who do not specify a gender are excluded from the

calculations.

By default, this analysis considers data from the past 60 days. If the analysis is part of a dashboard, the period

ending and trailing days settings for the dashboard will override this default.

The components of the analysis are explained in the following table.

Component Description

Units % Compares the number of items purchased by registered Web site users of different

genders. Registered users who do not specify a gender are excluded from the

calculations.

Key Product Sales Indicators

The Key Product Sales Indicators analysis provides information about sales of an individual product.

This analysis is not intended to be used without a product filter. If you open it directly from the analysis

catalog, it contains information about sales of all products. Use this analysis on the ATG Product Performance

Dashboard (page 8).

The components of the analysis are explained in the following table.

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Component Description

# Orders The number of purchases that were submitted

The line graph shows the number of orders on each date in the period set by

the period ending date and the number of trailing days.

The table below the line graph shows the number of orders during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

Units The number of items in the orders that were submitted

The line graph shows the number of items purchased on each date in the

period set by the period ending date and the number of trailing days.

The table below the line graph shows the number of items purchased

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Gross Revenue The currency value of the items sold. See information about the way gross

revenue is calculated in Gross Revenue (page 5).

The line graph shows the total value on each date in the period set by the

period ending date and the number of trailing days.

The table below the line graph shows the total value during the week before

the period ending date, the week before that, and the percent change

between those two weeks.

Avg Selling Price The average price of all the items in the orders that were submitted

The line graph shows the average price on each date in the period set by the

period ending date and the number of trailing days.

The table below the line graph shows the average price during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Key Sales Indicators

The Key Sales Indicators analysis provides information about sales volume and revenue.

The components of the analysis are explained in the following table.

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Component Description

# Orders The number of purchases that were submitted

The trend sparkline shows the number of orders on each date in the period

set by the period ending date and the number of trailing days.

The following calculation rows show the number of orders during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

Units The number of items purchased

The trend sparkline shows the number of items purchased on each date in

the period set by the period ending date and the number of trailing days.

The following calculation rows show the number of items purchased during

the week before the period ending date, the week before that, and the

percent change between those two weeks.

Gross Revenue The total currency value of the items sold. See information about the way

gross revenue is calculated in Gross Revenue (page 5).

The trend sparkline shows the value of sales on each date in the period set

by the period ending date and the number of trailing days.

The following calculation rows show the value of sales during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Avg Order Value The average currency value of the purchases that were submitted. This value

is calculated by dividing the gross revenue by the number of orders.

The trend sparkline shows the average order value on each date in the

period set by the period ending date and the number of trailing days.

The following calculation rows show the average order value during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

Avg Order Size The average number of items in the purchases that were submitted. This

value is calculated by dividing the total number of items sold by the number

of purchase transactions.

The trend sparkline shows the average order size on each date in the period

set by the period ending date and the number of trailing days.

The following calculation rows show the average order size during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

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Component Description

Avg Order Discount The average currency value of the promotional discounts applied to

purchases. This value is calculated by dividing the total of all discounts

applied by the number of purchase transactions.

The trend sparkline shows the average order discount on each date in the

period set by the period ending date and the number of trailing days.

The following calculation rows show the average order discount during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

Product Sales Share

The Product Sales Share analysis provides information about the proportion of all sales that are made up by an

individual product.

This analysis is not intended to be used without a product filter. If you open it directly from the analysis

catalog, it contains information about sales of all products. Use this analysis on the ATG Product Performance

Dashboard (page 8).

The components of the analysis are explained in the following table.

Component Description

Product performance table The table at the top of the analysis provides the numeric percentages of

product sales for the period set by the period ending date and the number

of trailing days.

Order Share is the percentage of all purchase transactions that include the

product.

Unit Share is the percentage of all items sold that is made up by the

product.

Gross Revenue Share is the percentage of the value of all items sold that is

made up by the product. See information about the way gross revenue is

calculated in Gross Revenue (page 5).

Order Share The percentage of all purchase transactions that include the product

The line graph shows the percentage on each date in the period set by the

period ending date and the number of trailing days.

Unit Share The percentage of all items sold that is made up by the product

The line graph shows the percentage on each date in the period set by the

period ending date and the number of trailing days.

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Component Description

Gross Revenue Share The percentage of the value of all items sold that is made up by the

product. See information about the way gross revenue is calculated in

Gross Revenue (page 5).

The line graph shows the percentage on each date in the period set by the

period ending date and the number of trailing days.

Sales Analysis

The Sales Analysis provides a set of data regarding sales for each date in a period of time that you select.

The analysis does not appear on any of the dashboards. Open it directly from the analysis catalog. Enter the

beginning and end dates of the period you want to include in the report. Select the sites that you want to

include.

The components of the analysis are explained in the following table.

Component Description

# Orders The number of purchase transactions that occurred on each day of the date range

Units The number of items that were purchased on each day of the date range

Gross Revenue The currency value of the sales that occurred on each day of the date range

See information about the way gross revenue is calculated in Gross Revenue (page

5).

Discounts The currency value of the discounts that were applied to purchases on each day of

the date range

Net Revenue The currency value of the sales that occurred on each day of the date range

Net revenue includes revenue components such as tax and shipping. It is

calculated after discounts are applied. See Net Revenue (page 5).

Avg Order Value The average currency value of the purchase transactions that occurred on each day

of the date range

Avg Order Size The average number of items in the purchase transactions that occurred on each

day of the date range

Sales Component Analysis

The Sales Component Analysis provides information about the proportions of gross revenue, tax revenue,

shipping revenue and discounts. These are components of the net revenue. See information about the way

gross and net revenue are calculated in Gross Revenue (page 5) and Net Revenue (page 5).

The components of the analysis are explained in the following table.

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5 Analyses 21

Component Description

Sales Component Share The proportions of gross revenue, tax revenue, shipping revenue and

discounts in the net revenue. See information about the way gross and net

revenue are calculated in Gross Revenue (page 5) and Net Revenue (page 5).

The bar graph shows the proportions of revenue components during the

period set by the period ending date and the number of trailing days.

The table below the line graph shows the total currency value of each

component during the period set by the period ending date and the

number of trailing days. It also provides the percentage of net revenue

during that period.

Segment Order Analysis

The Segment Order Analysis compares the purchases made by different user segments, or demographic

divisions.

The components of the analysis are explained in the following table.

Component Description

segment table Sales calculations for each user segment

# Orders is the number of purchase transactions submitted by users in the segment.

% (for # Orders) is the percentage of all purchase transactions that were made by users

in the segment.

Gross Revenue is the total currency value of the items purchased by the users in

the segment. See information about the way gross revenue is calculated in Gross

Revenue (page 5).

% (for Gross Revenue) is the percentage of the total gross revenue that is attributed to

purchases by the users in the segment. See information about the way gross revenue is

calculated in Gross Revenue (page 5).

AOV (Average Order Value) is the average value of the purchase transaction made by

the users in the segment.

bar graph Compares sales calculations for each user segment. Choose one of the calculations in

the Sales Metric menu.

Segment Sales Breakdown

The Segment Sales Breakdown analysis provides the percentages of the total number of items purchased by

registered Web site users in different user segments, or demographic divisions.

The components of the analysis are explained in the following table.

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Component Description

Units % Compares the number of items purchased by registered Web site users in

different user segments.

Site Order Analysis (Week/Week)

The Site Order Analysis (Week/Week) compares information about the purchases made at your Web sites. It

returns results from a two-week period and compares one week with the other.

The components of the analysis are explained in the following table.

Component Description

Avg Order Value Compares the average currency value of the purchases made at each Web

site.

Avg Order Value (Prior

Trailing 7 Day Pct Var)

The percentage change in the average value of purchases from the previous

week to the more recent week.

SKU Breakdown

The SKU Breakdown analysis provides information about the sales of individual product Stock Keeping Units

(SKUs). Individual SKUs are a subset of a product. For example, different sizes of a product may have individual

SKUs. Use this analysis on the ATG Product Performance Dashboard (page 8) where it is filtered to show only one

product.

The components of the analysis are explained in the following table.

Component Description

SKU Name The name assigned to the SKU

SKU ID The identifier assigned to the SKU

Units The number of items of the SKU that were sold in the period set by the

period ending date and the number of trailing days

% (for Units) The percent of all items sold that are made up by the SKU

The percentage is calculated based on the item total that is selected by the

analysis. Typically it is restricted by the product and date range filters on the

ATG Product Performance Dashboard (page 8).

Gross Revenue The currency value of the items of the SKU that were sold in the period set

by the period ending date and the number of trailing days. See information

about the way gross revenue is calculated in Gross Revenue (page 5).

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Component Description

% (for Gross Revenue) The percent of the value of all item sales that are made up by the SKU.

See information about the way gross revenue is calculated in Gross

Revenue (page 5).

The percentage is calculated based on the gross revenue that is selected by

the analysis. Typically it is restricted by the product and date range filters on

the ATG Product Performance Dashboard (page 8).

Top Product Sales

The Top Product Sales analysis provides information about the sales of individual products.

Note: if there were no sales of a product during the date range, that product is excluded from the Top Product

Sales analysis.

The components of the analysis are explained in the following table.

Component Description

Rank The position of the product when the list of products is sorted according to the number

of orders that include it. This is the default sorting order for the analysis.

Product Name The name assigned to the product

Product ID The identifier assigned to the product

Orders The number of purchase transactions that included the product

% (for Orders) The percent of all purchase transactions that included the product

Gross Revenue The total currency value of the items sales of the product. See information about the

way gross revenue is calculated in Gross Revenue (page 5).

% (for Orders) The percent of the value of all items sales that is made up by the product. See

information about the way gross revenue is calculated in Gross Revenue (page 5).

Promotions Analyses

The promotions analyses provide information about the promotional programs available on your Web sites and

other sales channels.

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Age Group Promotional Breakdown

The Age Group Promotional Breakdown analysis provides information about the way that registered Web site

users in different age groups use promotional programs. Registered users who do not specify an age group are

excluded from the calculations.

The components of the analysis are explained in the following table.

Component Description

Uses % Compares the number of times that promotional programs were used by registered

Web site users in different age groups. Users who have not specified an age group are

excluded from the calculation.

Avg Order Discount Per Site

The Avg Order Discount Per Site analysis provides information about the promotional and markdown discounts

that are applied to purchases at your Web sites.

The components of the analysis are explained in the following table.

Component Description

Avg Order Discount The average currency value of the promotional and markdown discounts

applied to purchases at each of your Web sites

The bar graph compares the average values at each site. The table provides

the average values in numeric format.

Discounted Products

The Discounted Products analysis provides information about the promotional discounts that are applied to

individual products. Click a product name link to open the ATG Product Performance Dashboard (page 8).

The components of the analysis are explained in the following table.

Component Description

Product Name The name assigned to the product

Click the link to open the ATG Product Performance Dashboard (page 8).

Product ID The identifier assigned to the product

Units The number of items to which promotional discounts were applied

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Component Description

% (for Units) The percent of all promotionally discounted items made up by the product

Markdown The total currency value of the promotional discounts applied to sales of the product

% (for Markdown) The percent of the value of all promotional discounts that were applied to sales of

the product

Revenue The currency value of the sales of the product to which promotional discounts were

applied. The sale value is the Net Revenue (page 5) of the product items.

% (for Revenue) The percent of the revenue attributed to all promotional usage that is made up by

the promotions applied to sales of the product

Gender Promotional Breakdown

The Gender Promotional Breakdown analysis provides information about the way that registered Web site users

of different genders use promotional programs. Registered users who do not specify a gender are excluded from

the calculations.

The components of the analysis are explained in the following table.

Component Description

Uses % Compares the number of times that promotional programs were used by registered

Web site users of different genders. Users who have not specified a gender are excluded

from the calculation.

Key Promotion Indicators

The Key Promotion Indicators analysis provides information about the usage of all promotional programs and

the effect of those promotions on sales and revenue.

The components of the analysis are explained in the following table.

Component Description

# Uses The number of times that promotions were used in purchase transactions

The trend sparkline shows the number of uses on each date in the period

set by the period ending date and the number of trailing days.

The following calculation rows show the number of uses during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

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Component Description

Markdown Units The number of items that were purchased using promotions

The trend sparkline shows the number of items on each date in the period

set by the period ending date and the number of trailing days.

The following calculation rows show the number of items during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Promotional Markdown

Discounts

The currency value of the promotional discounts that were applied to

purchase transactions

The trend sparkline shows the value of the promotions used on each date

in the period set by the period ending date and the number of trailing

days.

The following calculation rows show the value of the promotions used

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Promotional Revenue Impact The currency value of all the item sales that were purchased

using promotions. See information about Revenue Attributed to

Promotions (page 6).

The trend sparkline shows the value on each date in the period set by the

period ending date and the number of trailing days.

The following calculation rows show the value during the week before

the period ending date, the week before that, and the percent change

between those two weeks.

Avg Markdown Discount The average currency value of purchases in which a promotion was used

This value is calculated by dividing the total currency amount of

promotional markdown discounts by the number of orders.

The trend sparkline shows the average value on each date in the period set

by the period ending date and the number of trailing days.

The following calculation rows show the average value during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

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Component Description

Avg Revenue Impact The average currency value of the purchase transactions in which a

promotion was used. See information about Revenue Attributed to

Promotions (page 6).

This value is calculated by dividing the total currency amount of revenue

attributed to promotions by the number of orders.

The trend sparkline shows the average value on each date in the period set

by the period ending date and the number of trailing days.

The following calculation rows show the average value during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Promotion Summary Analysis

The Promotion Summary Analysis provides information about the usage of individual promotional programs

and the effect of those promotions on sales and revenue

The components of the analysis are explained in the following table.

Component Description

Promotion The name assigned to the promotion

Uses The number of times the promotion was used in purchase transactions

7 Day Var (for Uses) The percentage change between the number of times the promotion was

used during the week before the period ending date and the number of

times the week before that

Discounts The currency value of the discounts that were applied as a part of the

promotion

7 Day Var (for Revenue) The percentage change between the value of the discounts applied as a

part of the promotion during the week before the period ending date and

the value of the discounts the week before that

Revenue The currency value of the sales attributed to the promotion. See Revenue

Attributed to Promotions (page 6).

7 Day Var (for Revenue) The percentage change between the value of the sales attributed to

the promotion during the week before the period ending date and

the value of the sales the week before that. See Revenue Attributed to

Promotions (page 6).

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Promotional Revenue Impact

The Promotional Revenue Impact analysis provides information about the value of the sales that are attributed

to promotional programs. See Revenue Attributed to Promotions (page 6).

This analysis appears on the ATG Web Commerce Performance Dashboard (page 7), where it includes all

promotions, and on the ATG Promotion Performance Dashboard (page 8), where it includes only one.

The components of the analysis are explained in the following table.

Component Description

Total Revenue, Promotional

Revenue Impact

Compares the gross revenue to the revenue that is attributed to

promotions. See Gross Revenue (page 5) and Revenue Attributed to

Promotions (page 6).

The line graph shows the currency value of the gross revenue and the

revenue attributed to promotions on each date in the period set by the

period ending date and the number of trailing days.

Promotional Revenue Share The percentage of gross revenue that is made up by revenue attributed

to promotions See Gross Revenue (page 5) and Revenue Attributed to

Promotions (page 6).

The line graph shows the percentage on each date in the period set by the

period ending date and the number of trailing days.

The table below the line graph shows the gross revenue and the total

revenue attributed to promotions in the period set by the period ending

date and the number of trailing days. It also includes the percentage of

gross revenue made up by promotions revenue during that period.

Segment Promotional Breakdown

The Segment Promotional Breakdown analysis provides information about the way that registered Web site

users in different segments, or demographic groups, use promotional programs. Registered users who are not

part of a segment are excluded from the calculations.

The components of the analysis are explained in the following table.

Component Description

Uses % Compares the number of times that promotional programs were used by registered

Web site users in different segments, or demographic groups. Users who are not

part of a segment are excluded from the calculation.

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Search Analyses

The search analyses provide information about the way visitors to your Web sites use Oracle ATG Web

Commerce Search.

Key Search Indicators

The Key Search Indicators analysis provides information about the volume of search activity on your Web sites.

The components of the analysis are explained in the following table.

Component Description

# Searches The number of times site visitors entered text search queries

The line graph shows the number of text search queries on each date in the

period set by the period ending date and the number of trailing days.

The table below the line graph shows the number of text search queries during

the week before the period ending date, the week before that, and the percent

change between those two weeks.

Avg Response Time

(milliseconds)

The average time it took the search engine to return the results of search queries.

The time is expressed in milliseconds.

The line graph shows the average number of milliseconds on each date in the

period set by the period ending date and the number of trailing days.

The table below the line graph shows the average number of milliseconds during

the week before the period ending date, the week before that, and the percent

change between those two weeks.

# Searches per Visit The average number of text search queries performed during site visits

The line graph shows the average number of text searches on each date in the

period set by the period ending date and the number of trailing days.

The table below the line graph shows the average number of text searches

during the week before the period ending date, the week before that, and the

percent change between those two weeks.

# Visits with Search The number of Web site visits in which the visitor performed a text search query

The line graph shows the number of visits on each date in the period set by the

period ending date and the number of trailing days.

The table below the line graph shows the number of visits during the week

before the period ending date, the week before that, and the percent change

between those two weeks.

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Component Description

# Queries The total number of search queries that were processed by the search engine

The line graph shows the number of search queries on each date in the period set

by the period ending date and the number of trailing days.

The table below the line graph shows the number of search queries during the

week before the period ending date, the week before that, and the percent

change between those two weeks.

# Unique Questions The number of unique text search queries submitted, after the text queries are

normalized by an auto-correction process

The line graph shows the number of unique text search queries on each date in

the period set by the period ending date and the number of trailing days.

The table below the line graph shows the number of unique text search queries

during the week before the period ending date, the week before that, and the

percent change between those two weeks.

Query Type Breakdown

The Query Type Breakdown analysis provides information about the volume of search engine activity. It

compares the numbers of different types of search query.

The components of the analysis are explained in the following table.

Component Description

Type The name assigned to the search query type

Query types include: Unspecified, Simple Search, Browse, Structured Search,

Similar Doc Search, and Category Navigation.

# Queries The number of queries of the type that occurred during the period set by the

period ending date and the number of trailing days

% The percent of all search queries that was made up by queries of the type. This

is calculated based on the queries that occurred in the period set by the period

ending date and the number of trailing days.

Prior Trailing 7 Days The number of queries of the type that occurred between 13 days before the

period ending date and 7 days before the period ending date

Trailing 7 Days The number of queries of the type that occurred between 6 days before the period

ending date and the period ending date

7 Day Var The percentage change between the number of queries of the type that occurred

during the week leading up to the period ending date and the number that

occurred during the week before that

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Component Description

Bar graph Compares the percentages that each type of search query makes up of the total

number of search queries

Response Time Analysis

The Response Time Analysis provides information about the performance of your search engine and its

relationship to the number of queries that occur.

The components of the analysis are explained in the following table.

Component Description

Hourly Analysis Compares the average time, in milliseconds, that it took the search engine to return

results during each one-hour period of the day

Compares the average number of search queries that occurred during each one-

hour period of the day

The averages are calculated based on the data from the period set by the period

ending date and the number of trailing days.

Weekly Analysis Compares the average time, in milliseconds, that it took the search engine to return

results during each day of the week

Compares the average number of search queries that occurred during each day of

the week

The averages are calculated based on the data from the period set by the period

ending date and the number of trailing days.

Search Conversion Analysis

The Search Conversion Analysis provides information about the number of purchase transactions that are

associated with search queries. The purchases are associated with search queries if they occur during the same

Web site visit.

The components of the analysis are explained in the following table.

Component Description

Metric The table provides calculations of three metrics: the number of site visits,

the number of site visits that included a search query, and the number of

site visits that include both a search query and a purchase transaction.

Prior Trailing 7 Days The number of visits that occurred between 13 days before the period

ending date and 7 days before the period ending date

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Component Description

% (for Prior Trailing 7 Days) The percent of all Web site visits made up by the type of visit listed in the

Metric column. This is calculated based on the visits that occurred between

13 days before the period ending date and 7 days before the period ending

date

Trailing 7 Days The number of visits that occurred between 6 days before the period ending

date and the period ending date

% (Trailing 7 Days) The percent of all Web site visits made up by the type of visit listed in the

Metric column. This is calculated based on the visits that occurred between

6 days before the period ending date and the period ending date

% Change The percentage change between the number of visits during the week

before the period ending date and the number of site visits the week before

that

Bar graph Compares the metrics and calculations that are provided in the table above

the graph. Choose the set of calculations from the menu.

Search Conversion Funnel

The Search Conversion Analysis provides information about the number of purchase transactions that are

associated with search queries. The purchases are associated with search queries if they occur during the same

Web site visit.

The components of the analysis are explained in the following table.

Component Description

Bar graph The graph compares the numbers of three types of Web site visit: the number of

site visits, the number of site visits that included a search query, and the number

of site visits that include both a search query and a purchase transaction. It

presents the percentage of all site visits that are made up by each type.

Table The table provides the number of visits and percentage of all visits for each site

visit type in the bar graph above.

Search Terms Not in the Dictionary

The Search Terms Not in the Dictionary analysis provides information about the number of text search queries

that contain terms that are not in the Oracle ATG Web Commerce Search dictionary.

The components of the analysis are explained in the following table.

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Component Description

Line graph Provides the percent of all text search queries that contained terms not in the

dictionary on each date in the period set by the period ending date and the

number of trailing days

Table Lists the terms that were not in the dictionary, the number of times they

appeared in search queries, and the percent of all search queries that contained

them

Search Terms Not in the Indexed Content

The Search Terms Not in the Indexed Content analysis provides information about the number of text search

queries that contain terms that are not in the Oracle ATG Web Commerce Search index.

The components of the analysis are explained in the following table.

Component Description

Line graph Provides the percent of all text search queries that contained terms not in

the index on each date in the period set by the period ending date and the

number of trailing days

Table Lists the terms that were not in the index, the number of times they

appeared in search queries, and the percent of all search queries that

contained them

Search Terms with No Results

The Search Terms with No Results analysis provides information about the search terms that are entered in

queries that return no results.

If a search term is a part of a query that does return results, it is not included in this analysis, even if it would not

have returned any results by itself.

The components of the analysis are explained in the following table.

Component Description

Table Lists the terms that were in search queries that returned no results, the

number of times they appeared in search queries, and the percent of all

search queries that contained them

Searches per Visit by Site

The Searches per Visit by Site analysis provides information about the average number of search queries that are

performed in visits to your Web sites.

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The components of the analysis are explained in the following table.

Component Description

# Searches per Visit The average number of text search queries performed during Web site visits

The bar graph compares the average number for each of your Web sites. The

table lists the average numbers.

Searches Resulting in Most Purchases

The Searches Resulting in Most Purchases analysis provides information about the sales associated with terms

that are entered in text search queries.

The components of the analysis are explained in the following table.

Component Description

Search Term The word that was entered in the text search query, after normalization to

correct spelling errors

# Orders The number of purchase transactions that occurred during Web site visits

in which the search term was entered

Units The number of items purchased during Web site visits in which the search

term was entered

Gross Revenue The gross revenue of the sales that occurred during Web site visits in which

the search term was entered

Conversions The percent of all searches that contained the term that resulted in

purchases.

Top Firing Search Configuration Rules

The Top Firing Search Configuration Rules analysis provides information about how frequently Oracle ATG Web

Commerce Search configuration rules are used.

The components of the analysis are explained in the following table.

Component Description

Line graph The percent of all search queries that used a search configuration rule on

each date in the period set by the period ending date and the number of

trailing days

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5 Analyses 35

Component Description

Table The name, type, rule text, and total uses of the search configuration rules

that were used during the period set by the period ending date and the

number of trailing days

Top Products associated with Search

The Top Products Associated with Search analysis provides information about product sales that occurred

during Web site visits that also included a search query.

The components of the analysis are explained in the following table.

Component Description

Product Name The name of the product that was purchased. Click the link to open the ATG

Product Performance Dashboard.

# Orders The number of purchase transactions that contained the product and that

also occurred during a Web site visit that included a search query

Gross Revenue The gross revenue of sales of the product that occurred in Web site visits

that included a search query

Top Search Terms

The Top Search Terms analysis provides information about how frequently search terms are entered in text

search queries.

The components of the analysis are explained in the following table.

Component Description

Rank The position of the search term when the list of search terms is sorted

according to the number of text search queries that include it. This is the

default sorting order for the analysis.

Search Term The search term, after normalization to correct spelling

# Searches The number of text search queries that include the search term

% (# Searches) The percent of all text search queries that include the search term

7 Day Variance The percentage change between the number of search queries that

included the search term during the week before the period ending date

and the week before that.

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Customer Service Center Analyses

The customer service center analyses provide information about the way your customer service organization

handles contact from your customers.

Agent Summary Analysis

The Agent Summary Analysis provides information about the way customer service agents handle customer

calls.

The components of the analysis are explained in the following table.

Component Description

Organization Selects the group of customer service agents included in the analysis

Last Name The last name of the agent

First Name The first name of the agent

Avg Call Length The average length of the customer contact calls handled by the agent in

seconds

Conversion The percent of the agent’s customer contact calls that resulted in a

purchase

Returns The number of returned items handled by the agent

Avg Refund The average currency value of the refunds handled by the agent

Orders The number of purchase transactions handled by the agent

AOV (Average Order Value) The average currency value of the purchase

transactions handled by the agent

Apsmts (Appeasements) The total currency value of the price adjustments that the

agent made to orders.

Key Call Indicators

The Key Call Indicators analysis provides information about the customer service contacts handled by your

customer service organization.

The components of the analysis are explained in the following table.

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Component Description

# Calls The number of customer calls received by your customer service

organization

The trend sparkline shows the number of calls on each date in the period set

by the period ending date and the number of trailing days.

The following calculation rows show the number of calls during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Avg Call Duration The average amount of time that customer service agents spent during calls

with customers in seconds

The trend sparkline shows the average duration on each date in the period

set by the period ending date and the number of trailing days.

The following calculation rows show the average duration during the week

before the period ending date, the week before that, and the percent

change between those two weeks.

Call Conversion Rate The percent of customer contacts that resulted in purchase transactions

The trend sparkline shows the percent of calls that included purchases on

each date in the period set by the period ending date and the number of

trailing days.

The following calculation rows show the percent of calls that included

purchases during the week before the period ending date, the week before

that, and the percent change between those two weeks.

Gross Revenue per Call The average currency value of the purchases that are associated

with customer service calls. This is calculated by dividing the Gross

Revenue (page 5) of items purchased in the customer service center channel

by the number of customer service calls.

The trend sparkline shows the average gross revenue per call on each date

in the period set by the period ending date and the number of trailing days.

The following calculation rows show the average gross revenue per call

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Key Service Indicators

The Key Service Indicators analysis provides information about the transactions handled by your customer

service organization.

The components of the analysis are explained in the following table.

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Component Description

# Returns The number of times customer service agents processed return

transactions

The trend sparkline shows the number of return transactions on each date

in the period set by the period ending date and the number of trailing

days.

The following calculation rows show the number of return transactions

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

# Exchanges The number of times customer service agents processed exchange

transactions

The trend sparkline shows the number of exchange transactions on each

date in the period set by the period ending date and the number of trailing

days.

The following calculation rows show the number of exchange transactions

during the week before the period ending date, the week before that, and

the percent change between those two weeks.

Returned Units The number of items that were returned

The trend sparkline shows the number of returned items on each date in

the period set by the period ending date and the number of trailing days.

The following calculation rows show the number of returned items during

the week before the period ending date, the week before that, and the

percent change between those two weeks.

Avg Refund Amount The average currency value of refunds made for return transactions

The trend sparkline shows the average refund amount on each date in the

period set by the period ending date and the number of trailing days.

The following calculation rows show the average refund amount during

the week before the period ending date, the week before that, and the

percent change between those two weeks.

Top Product Returns

The Top Product Returns analysis provides information about the return transactions for individual products.

The components of the analysis are explained in the following table.

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5 Analyses 39

Component Description

Rank The position of the product when the list of products is sorted according

to the number of returned items. This is the default sorting order for the

analysis.

Product Name The name assigned to the product

Product ID The identifier assigned to the product

Units The number of items of the product that were returned

% (for Units) The percent of all returned items made up by the product

Refund The currency value of the refunds made for returned items of the product

% (for Refund) The percent of the total refund amount made up by the refunds for

returned items of the product

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