Pega® Web Analytics Component Overview Component

Total Page:16

File Type:pdf, Size:1020Kb

Pega® Web Analytics Component Overview Component Pega® Web Analytics Component PEGASYSTEMS PROVIDES THIS SOFTWARE 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, AND NONINFRINGEMENT. IN NO EVENT WILL PEGASYSTEMS, 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 THIS SOFTWARE OR THE USE OR OTHER DEALINGS IN THIS SOFTWARE. Overview In order to provide a basic Web Analytics configuration as an interface between Pega7 and individual vendors, Pega has created a component with a Web Analytics Landing page and configuration. This document describes how to install and configure your application to use and configure the Web Analytics component. We have examples for 2 vendors: Google and Matomo (Piwik). Component Installation 1. Download the Web Analytics component from Exchange 2. Import the component a. Designer Studio > Application > Distribution > Import i. Local file PegaWebAnalytics_XXXX_010101_XXXX.zip 3. This is a Component containing 2 vendors: Google, Matomo (Piwik). Most of the vendor info will be valid, but you will have register with either vendor's server and update the vendor code with the correct vendor url and the unique token you receive. This is discussed below in the Vendor section. 4. Verify you have the component a. Designer Studio > Application > Components i. You should see PegaWebAnalytics as a component Pega Exchange – Web Analytics Component 1 Copyright © 2018 Pegasystems Inc. All Rights Reserved. 5. Open your application and add PegaWebAnalytics 01.01.01 as a component Preflight Optimization IMPORTANT: If you are using Preflight Optimization, you need to turn it off to test and then re-optimize once you have created a Web Analytic Configuration that you are happy with. So, for now, just turn this off. Once you have a working web analytics test, you can run re-optimization and turn it back on. Additional Information After installing the Web Analytics component, you need to log off and back on. Pega Exchange – Web Analytics Component 2 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Landing Page With the component installed, Web Analytics can be found under "User Interface" on the Designer Studio menu. Selecting Web Analytics will bring up the Web Analytics Landing Page. It is here that you will be able to add, edit, and remove web analytics configurations for different access groups/portals or globally. You can also choose different vendors and use them simultaneously. Initial display before adding configurations Pega Exchange – Web Analytics Component 3 Copyright © 2018 Pegasystems Inc. All Rights Reserved. After adding configurations Modifying Existing Configurations Use Web Analytics Selecting this checkbox will turn on/off web analytics for the given configuration. NOTE: Changing this setting requires you to log off and log back in to the application(s) in order to for this change to be applied. Edit The edit icon will bring up the configuration dialog (same as add analytics) to change the analytics configuration. NOTE: With edit, you can NOT change the AccessGroup/Portal. Delete The delete icon will delete this configuration. It will also remove the Data record associated with this configuration. NOTE: Delete will NOT remove the Data Vendor record that was used or created with this configuration. Pega Exchange – Web Analytics Component 4 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Configuration Add analytics To add an analytics configuration, on the Web Analytics Landing Page, press "Add new". Access Group The initial configuration dialog will require you to select an Access Group. The list of Access Groups is limited to the current application you are logged in as. Whichever access group you select, Web Analytics will only be applied to that access group and its default portal. NOTE: You can have multiple configurations for the SAME access group but for DIFFERENT vendors active that the same time. Pega Exchange – Web Analytics Component 5 Copyright © 2018 Pegasystems Inc. All Rights Reserved. All As an alternative, you can select "All". This will apply this Web Analytics configuration to ALL applications and ALL portals. Similar, to access groups, you can have multiple ALL configurations for different vendors active at the same time. NOTE: When any “All” configuration(s) are in use, all Access Group specific configurations will be ignored. NOTE: At present, “All” will only be applied to those applications that have added this web analytics component. (ie. if the Pega application doesn’t have PegaWebAnalytics component specified on the application rule, no analytics will be taken) Web Analytics Vendor After you have selected an Access group, you will need to select a Vendor. For other vendors, you will need to create a new vendor. Create New Vendor To create a new vendor, select "Create new vendor". A small overlay will appear for the name of the vendor. Enter this and press "Submit". Pega Exchange – Web Analytics Component 6 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Now if you go back to selecting a Vendor, your new Vendor should appear. New Vendor Logo Once you create a new vendor, you can add a Vendor logo, to appear in the landing page. (You can jump to "Select a Vendor", section of this document and come back to this later if you don’t have a logo.) Pega Exchange – Web Analytics Component 7 Copyright © 2018 Pegasystems Inc. All Rights Reserved. A logo can be added at any time. • You must capture the vendor's logo image o preferably with a white background o preferably as a "png" file • Next, create a new Data-Content-Image rule o File Name - should be your vendor's name (as created, without spaces), plus "_logo" (vendorco_logo) o File Type - type of file (preferably "png") o File Path - MUST be "/webanalytics/" • Once created, upload the image and save Pega Exchange – Web Analytics Component 8 Copyright © 2018 Pegasystems Inc. All Rights Reserved. There are currently 8 common vendors already included in the PegaWebAnalytics ruleset: Google, Piwik, Matomo, Woopra, IBM, Clicky, Adobe, and WebTrends. These will be used if you select the corresponding vendor. You can use these as examples to create your own. Select a Vendor Once you select a vendor, you will be presented with an array of Tabs to enter data to configure this Web Analytics for this Vendor and Access group. Meta Tags Tab If Web Analytics is turned on for this access group or “All”, then Meta tags <meta> will be inserted in the header if any of the tags Name/Content pairs have values. The Meta tags configuration starts with 5 standard tag names. Others can be added or deleted. Pega Exchange – Web Analytics Component 9 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Generation of the above will look like the following: App Data Tab On the Application Data tab, you can select what kind of data will be sent to the web analytics vendor for each page that is displayed/updated. The data sent is determined by what is selected on this tab, along with the technical configuration on the Page Tab. Use Select "Use" if the data on this page will be sent to the web analytics vendor Pega Exchange – Web Analytics Component 10 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Add In Case Info Select "Add in Case Info" if you want some generic Case Data to be sent to the web analytics vendor. This includes the following, if available: • Action • Harness • Flow • Task • ID • Activity • Page • Page Class • Section Name Specific values In addition, you can specify other values from the clipboard that you want to send. If these values are present at the time the page is loaded, they will be sent. Each entry (Event, Name, Property) can be a string, property or page.property value. The entries correspond to {1}, {2} and {3}, which will be replacement values for the technical configuration on the "Page" tab. Event gives the vendor a classification of “event”, so this data will be found under “events” with the given name (Both Google and Matomo use this classification) Name provides the second level of classification – “for this event, we have this element”. Property corresponds to specific data that found for the “Name”. In the above example: For the Classification of “Case-Info”, “Stage” has a value of “X” (whatever we find on the clipboard page pyWorkPage.pyCurrentStageLabel”) Pega Exchange – Web Analytics Component 11 Copyright © 2018 Pegasystems Inc. All Rights Reserved. Vendor Specific Tabs The following tabs (Page, Click, Click Post) are vendor-specific functionality. Each vendor has a specific API for usage in the header (page) and other JavaScript (JS) API that we can use for clicks and events. First Time When updating the data on these tabs for the first time with a new vendor, the data will be copied to the vendor data record for subsequent uses. After the first update, subsequent updates will only update this configuration (access group/vendor) but NOT the vendor data record. To update the vendor data record, press the edit button next to the vendor drop down. Edit the default configuration for that vendor and submit (see below and in the section “Editing Vendor”). We create the vendor default record so that if you create new configurations, you can get the default configuration and then modify it per web configuration as needed. Page Tab For each page that is loaded, determine what data is sent to specific web analytics vendors. Most vendors provide at least 2 pieces of data. Header Snippet A snippet of code for the header. This must be enclosed in one or more <script> tags. Snippet(s) usually set up the data transfer to the vendor and usually includes some JS as well.
Recommended publications
  • Social Media Analytics
    MEDIA DEVELOPMENT Social media analytics A practical guidebook for journalists and other media professionals Imprint PUBLISHER EDITORS Deutsche Welle Dr. Dennis Reineck 53110 Bonn Anne-Sophie Suntrop Germany SCREENSHOTS RESPONSIBLE Timo Lüge Carsten von Nahmen Helge Schroers Petra Berner PUBLISHED AUTHOR June 2019 Timo Lüge © DW Akademie MEDIA DEVELOPMENT Social media analytics A practical guidebook for journalists and other media professionals INTRODUCTION Introduction Having a successful online presence is becoming more and In part 2, we will look at some of the basics of social media more important for media outlets all around the world. In analysis. We’ll explore what different social media metrics 2018, 435 million people in Africa had access to the Internet mean and which are the most important. and 191 million of them were using social media.1 Today, Africa is one of the fastest growing regions for Internet access and Part 3 looks briefly at the resources you should have in place social media use. to effectively analyze your online communication. For journalists, this means new and exciting opportunities to Part 4 is the main part of the guide. In this section, we are connect with their › audiences. Passive readers, viewers and looking at Facebook, Twitter, YouTube and WhatsApp and will listeners are increasingly becoming active participants in a show you how to use free analytics tools to find out more dialogue that includes journalists and other community mem- about your communication and your audience. Instagram is bers. At the same time, social media is consuming people’s not covered in this guide because, at the time of writing, only attention: Time that used to be spent listening to the radio very few DW Akademie partners in Africa were active on the is now spent scrolling through Facebook, Twitter, Instagram, platform.
    [Show full text]
  • Global Compliance of Cookie-Bassed Web Analytics Activities
    Global compliance of GLOBALcookie-bassed COMPLIANCEweb analytics oactivitiesf cookie-based web analytics activities Finding a cross-border compliance solution [Version 3.0 (April 2012). for cookie-based web analytics activities should be on the agenda of every company doing business online, as well as web analytics software vendors, online content publishers and online advertisers. This paper focuses on EU cookie regulations, US-based Do Not Track initiatives and other worldwide privacy initiatives, in search of a series of steps to aid us in achieving global compliance. INDEX 1 The technical and business need for 5 cookies A world built on cookies 5 Cookie types and threats 6 2 The social dilemma 9 3 A short history of worldwide cookie- 11 related privacy protection 4 The EU regulatory challenge 15 Opt-out vs. Opt-in 15 Yes I do, Don´t I? 16 Calling a spade a spade: national 17 implementations Which law applies to you? 19 5 Technical and legal solutions for 21 cross-border compliance of web analytics activities A proposed approach to the new 21 A document by legal framework Divisadero. All rights reserved. 21 www.divisadero.eu Building a minimum common denominator Author Technical and practical solutions 23 Sergio Maldonado Design by ANNEX: Cookie inventory and 25 Alexia Méndez 6 classification audit form Global compliance of cookie-based web analytics activities 3 1. THE TECHNICAL AND BUSINESS NEED FOR COOKIES sessions, registrations and logins, online banking sessions, electronic government applications… and virtually every online action that goes beyond user-dissociated displays of information. But cookies are also used for other purposes: by allowing us to tie multiple page visualizations to the same anonymous browser, they enable online audience measurement concepts such as “visit” and “visitor”.
    [Show full text]
  • E Cost of Ad Blocking Pagefair and Adobe 2015 Ad Blocking Report
    !e cost of ad blocking PageFair and Adobe 2015 Ad Blocking Report Introduction In the third annual ad blocking report, PageFair, with the help of Adobe, provides updated data on the scale and growth of ad blocking so"ware usage and highlights the global and regional economic impact associated with it. Additionally, this report explores the early indications surrounding the impact of ad blocking within the mobile advertising space and how mobile will change the ad blocking landscape. Table of Contents 3. Key insights 8. Effect of ad blocking by industry 13. A"erword 4. Global ad blocking growth 9. Google Chrome still the main driver of ad 14. Background 5. Usage of ad blocking so"ware in the United block growth 15. Methodology States 10. Mobile is yet to be a factor in ad blocking 16. Tables 6. Usage of ad blocking so"ware in Europe growth 17. Tables 7. !e cost of blocking ads 11. Mobile will facilitate future ad blocking growth 12. Reasons to start using an ad blocker PAGEFAIR AND ADOBE | 2015 Ad Blocking Report 2 Key Insights More consumers block ads, continuing the strong growth rates seen during 2013 and 2014. 41% YoY global growth Q2 2014 - Q2 2015 !e "ndings • Globally, the number of people using ad blocking so"ware grew by 41% year over year. • 16% of the US online population blocked ads during Q2 2015. • Ad block usage in the United States grew 48% during the past year, increasing to 45 million monthly active 45 million users (MAUs) during Q2 2015. Average MAUs in the United • Ad block usage in Europe grew by 35% during the past year, increasing to 77 million monthly active users States Q2 2015 during Q2 2015.
    [Show full text]
  • Google Analytics and PPC Specialist
    Please reply only by email to: [email protected] Google Analytics and PPC Specialist Company: StepForth Web Marketing Inc. Job Location: Victoria, BC Skills Required Web Analytics, Google Analytics, Analytics Account Manager, Google AdWords, Advanced Microsoft Excel and Word skills Career Description If you are Google Analytics and Google AdWords certified, have analytics experience and are enthusiastic about pursuing an analytics and PPC career then please read on. Position: contract work at first to confirm the quality of your work and then a full time position with benefits Wage: The contracting wage will be between $25 and $45 per hour depending on credentials, references and experience. The salary will be between $45,000 and $50,000 per year plus benefits and bonuses to start. There is a lot of room for growth and salary increases for this position. What you need for this position: • One to two years of experience in web analytics methodologies such as experimentation and testing, advanced segmentation and analysis. • Mid-level expertise in SEM (Search Engine Marketing) / PPC (Pay Per Click) strategies and a minimum one year experience managing SEM/PPC and SEO campaigns / efforts. • Excellent communication skills and ability to interact and manage the expectations of the Client, vendors, and internal resources with all levels of clients and technical resources. • Proactively identifies issues and escalates when appropriate. • Leads and contributes to improvements in processes (technical or business) for marketing experiments, reporting and analysis. • Has a natural inclination, and passion to grow by making things better for Clients and our company. • Manages clients' expectations from the start of a relationship through the life cycle of the relationship.
    [Show full text]
  • Web Analytics Tools and Benefits for Entrepreneurs
    Web analytics tools and benefits for entrepreneurs LAHTI UNIVERSITY OF APPLIED SCIENCES Degree programme in Business Information Technology Bachelor’s Thesis Autumn 2017 Cao Truong Hoang Phuong Nguyen Thi Huyen Trang Lahti University of Applied Sciences Degree programme in Business Information Technology Cao Truong, Hoang Phuong Nguyen Thi, Huyen Trang: Web analytics tools and benefits for entrepreneurs Bachelor’s Thesis in Business Information Technology, 79 pages Autumn 2017 ABSTRACT Online marketing nowadays is not an unfamiliar phenomenon anymore but entrepreneurs may not utilize it to bring out the best in their business. All business companies have their own website but most of them only use it as an advertisement tools or a news tools. However, web analytics tools are designed to change that and help entrepreneurs gathering useful data from their websites. The purpose of the thesis is to provide understanding about what web analytics tools are and they can use them to enhance their business strategy. The thesis will focus on deductive approach and make a conclusion through qualitative research. Google analytics tools and Woopra analytics tools will be used as a demonstration to how to use web analytics tools and how the analysis process can help making proper adjustment to the business. Keywords: Online marketing, data analysis, web analytics, web analytics tools, Google Analytics, Woopra TABLE OF CONTENTS 1 INTRODUCTION 1 1.2 Thesis structure 2 2 RESEARCH METHODS 4 2.1 Objectives 4 2.2 Research approach 4 2.3 Research methodology
    [Show full text]
  • An Investigation Into Better Techniques for Geo-Targeting by Shane Elliot Cruz
    An Investigation into Better Techniques for Geo-Targeting by Shane Elliot Cruz Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of BARKER Master of Engineering in Electrical Engineering and Computer Science at the ASSACH NSTITUTE OF TERHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY 1 June 2002 JUL 3 2002 LIBRARIES © Shane Elliot Cruz, MMII. All rights reserved. The author hereby grants to MIT permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part. A uthor ............... Department of Electrical Engineering and Computer c-ene May 17, 2002 Certified by.............................. Brian K. Smith Associate Professor, MIT Media Laboratory Thesis Supervisor Accepted by .................... Arthur C. Smith Chairman, Department Committee on Graduate Students 2 An Investigation into Better Techniques for Geo-Targeting by Shane Elliot Cruz Submitted to the Department of Electrical Engineering and Computer Science on May 17, 2002, in partial fulfillment of the requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science Abstract This thesis discusses the possibility of determining the geographic location of Internet hosts solely from IP address information. The design, implementation, and evalua- tion of several unique components for geo-targeting led to an understanding of the strength and weakness of each strategy. Upon realization of the pros and cons of the location mapping designs, a new system was built that combines the best features of each technique. An overall evaluation of each component and the final system is then presented to demonstrate the accuracy gained with the use of a Domain-Based Corn- ponent Selection methodology.
    [Show full text]
  • Real-Time Web Analytics with Kinesis Data Analytics
    Real-Time Web Analytics with Kinesis Data Analytics AWS Implementation Guide Ryan Nienhuis Chris Marshall Tom Horton Steve Morad March 2018 Last updated: October 2019 (see revisions) Copyright (c) 2019 by Amazon.com, Inc. or its affiliates. Real-Time Web Analytics with Kinesis Data Analytics is licensed under the terms of Apache License Version 2.0 available at https://www.apache.org/licenses/LICENSE-2.0 Amazon Web Services – Real-Time Web Analytics with Kinesis Data Analytics October 2019 Contents Overview ................................................................................................................................... 3 Cost ........................................................................................................................................ 4 Architecture Overview........................................................................................................... 5 Solution Components ............................................................................................................... 6 Beacon Code .......................................................................................................................... 6 Metric Headers .................................................................................................................. 7 Beacon Web Servers .............................................................................................................. 7 Amazon Kinesis Data Analytics Application........................................................................
    [Show full text]
  • A Review of Methodologies for Analyzing Websites
    141 Chapter VIII A Review of Methodologies for Analyzing Websites Danielle Booth Pennsylvania State University, USA Bernard J. Jansen Pennsylvania State University, USA ABSTRACT This chapter is an overview of the process of Web analytics for Websites. It outlines how basic visitor information such as number of visitors and visit duration can be collected using log files and page tagging. This basic information is then combined to create meaningful key performance indicators that are tailored not only to the business goals of the company running the Website, but also to the goals and content of the Website. Finally, this chapter presents several analytic tools and explains how to choose the right tool for the needs of the Website. The ultimate goal of this chapter is to provide methods for increasing revenue and customer satisfaction through careful analysis of visitor interaction with a Website. INTRODUCTION several metrics against each other to define visi- tor trends. KPIs use these dynamic numbers to Web analytics is the measure of visitor behavior get an in-depth picture at visitor behavior on a on a Website. However, what kind of information site. This information allows businesses to align is available from Website visitors, and what can their Websites’ goals with their business goals be learned from studying such information? By for the purpose of identifying areas of improve- collecting various Web analytics metrics, such ment, promoting popular parts of the site, testing as number of visits and visitors and visit dura- new site functionality, and ultimately increasing tion, one can develop key performance indicators revenue.
    [Show full text]
  • Understanding Ad Blockers
    Understanding Ad Blockers A Major Qualifying Project Submitted to the Faculty of Worcester Polytechnic Institute In partial fulfillment of the requirements for the Degree of Bachelor of Science In Computer Science By _________________________________ Doruk Uzunoglu March 21, 2016 _______________________ Professor Craig E. Wills, Project Advisor Professor and Department Head Department of Computer Science ABSTRACT This project aims to provide useful information for users and researchers who would like to learn more about ad blocking. Three main research areas are explored in this project. The first research area provides general information about ad blocking tools and aims to explore ad blockers from a user’s perspective. The second research area provides analyses regarding third­party sites that appear on popular first­party sites in order to explore the behavior of third­parties. Finally, the third research area provides analyses regarding filter lists, which are sets of ad filtering rules used by ad blocking tools. The third research area aims to convey the differences and similarities between individual filter lists as well as sets of filter lists that form the defaults of ad blocking tools. 1 ACKNOWLEDGEMENTS I would like to thank Professor Craig Wills for advising my project, providing insight, and gathering the popular third­party domains data which I analyzed as part of this project. In addition, I would like to thank Jinyan Zang for sharing the third­party data regarding mobile apps, which they have gathered as part of their 2015 paper named “Who Knows What About Me? A Survey of Behind the Scenes Personal Data Sharing to Third Parties by Mobile Apps.” The data provided by Jinyan Zang was also analyzed as part of this project.
    [Show full text]
  • 22:630:679 COURSE TITLE: Web Analytics with Real World Applications
    Marketing COURSE NUMBER: 22:630:679 COURSE TITLE: Web Analytics with Real World Applications COURSE DESCRIPTION To survive and excel in today’s economy, companies need to focus on spending their marketing and advertising dollars more effectively – by validating the return on investment (ROI) of these investments. Digital marketing has proven to be a necessary channel and one of the most effective ways to showcasing brand, reaching customers and building loyalty. The effectiveness of digital marketing needs to be accompanied by good digital analytics, which through data acquisition, exploration, testing, deduction and application, produces insights to drive continuous improvements of the digital marketing programs and to maximize returns. This course teaches digital analytics with a focus on web analytics through practical applications. It provides a broad overview of key digital analytics framework, strategies, concepts, issues, challenges and tools. Topics covered include: how to choose a web analytics tool; metrics and key performance indicators; best ways to analyze effectiveness of blogs, marketing campaigns, SEO, SEM, emails; how to utilize quantitative, qualitative and competitive tools to derive actionable insights; how to optimize web sites by incorporate testing and experimentation; how to create and manage an analytics culture for your organization; emerging analytics in social, mobile and video; best practices and pitfalls in web analytics; best practices on creating a data-driven culture and process. COURSE MATERIALS Web Analytics 2.0 – The Art of Online Accountability & Science of Customer Centricity. Avinash Kaushik, Wiley Publishing, Inc. 2010, ISBN 978-470-52939-3 (Abbreviated as WA 1 LEARNING GOALS AND OBJECTIVES 1. Provide a framework to help marketers and businesses (and students) on evaluate the effectiveness of their website by improving their companies’ bottom line.
    [Show full text]
  • Web Analytics Who Am I?
    Web Analytics Who Am I? Digital Analytics Specialist / Web Developer in the Office of Communications and Marketing Chair of the Mason Google Analytics Users Group Manage the Mason Google Analytics Roll-Up Available to provide support, consultation, and training regarding web analytics on any platform. What is Web Analytics? “Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage.” (Wikipedia) There are two major types of web analytics methodologies: Log-Based Javascript-Based Log-Based Analytics When a user requests content from a web server, that request generates an entry in the server’s request log. By analyzing the server request log, you can determine how your content is being consumed (and some information about who is consuming it). Example - Tracking Pixels: tracking pixels are links to transparent 1x1 pixel images included in HTML content (emails or web pages) solely for the purpose of generating a request to the server hosting the tracking pixel image (usually a third-party server). This is how email open rate statistics are calculated. Log-based analytics generally provide less information than JavaScript-based analytics. Javascript-Based Analytics Web pages include JavaScript code which causes the receiving browser to send tracking information to a server. Example - Google Analytics: When you create a Google Analytics property, Google gives you a block of JavaScript code to include on every page of your website. When a user receives one of your pages, the included JavaScript code executes and causes the user’s browser to send tracking information to Google Analytics.
    [Show full text]
  • Web Analytics from Wikipedia, the Free Encyclopedia
    http://en.wikipedia.org/wiki/Web_analytics Web analytics From Wikipedia, the free encyclopedia Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding [1] and optimizing web usage. Web analytics is not just a tool for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a web site. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It helps one to estimate how traffic to a website changes after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research. There are two categories of web analytics; off-site and on-site web analytics. Off-site web analytics refers to web measurement and analysis regardless of whether you own or maintain a website. It includes the measurement of a website's potential audience (opportunity), share of voice (visibility), and buzz (comments) that is happening on the Internet as a whole. On-site web analytics measure a visitor's behavior once on your website. This includes its drivers and conversions; for example, the degree to which different landing pages are associated with online purchases. On-site web analytics measures the performance of your website in a commercial context. This data is typically compared against key performance indicators for performance, and used to improve a web site or marketing campaign's audience response.
    [Show full text]