Interactive Brand Communication Class 9 Targeting the Internet Consumer Kuen-Hee Ju-Pak CSUF.

Slides:



Advertisements
Similar presentations
E-Business and e-Commerce. e-commerce and e-business e-commerce refers to aspects of online business involving exchanges among customers, business partners.
Advertisements

Ankit Mehta 1. Brief history of online advertising May 1978: First Marketing Spam form DEC Marketing representative. 1994: First banner ad by AT&T on.
■ Google’s Ad Distribution Network ■ Primary Benefits of AdWords ■ Online Advertising Stats and Trends ■ Appendix: Basic AdWords Features ■ Introduction.
Nicole Burkhard, Nova Scotia Agriculture November 13 th, 2011 ACORN.
Interactive Brand Communication Class 8 Measuring Success of Online Campaigns Kuen-Hee Ju-Pak, CSUF.
Mapping Online Advertising: From Anxiety to Method Fernando Bermejo Fellow, Berkman Center for Internet & Society, Harvard University January 12th, 2010.
chapter 9 Communication McGraw-Hill/Irwin © 2004 The McGraw-Hill Companies, Inc., All Rights Reserved.
Interactive Advertising & Promotional Communication Class 8/9 Targeting the Internet Consumer Kuen-Hee Ju-Pak CSUF.
Interactive Brand Communication Class 10 Media Planning/Buying Issues.
WHO WE ARE ●Website Development & Design ●Web Marketing Strategy, Training, and Analysis ●Web Applications, iOS apps, Android apps.
Internet Advertising & Promotional Communication Class 7 Measuring Success of Online Campaigns Kuen-Hee Ju-Pak, CSUF.
WEB EDITORS MEETING Welcome. GOOGLE ANALYTICS Google Analytics provides powerful digital analytics for anyone with a web presence, large or small. It's.
The Power of Relevance Behavioural Targeting & Smart Ads Cadi Jones Sales Development Manager, Belgium, Yahoo! EMEA.
Google Online Marketing Challenge (GOMC)
The Privacy Tug of War: Advertisers vs. Consumers Presented by Group F.
CONCRETE SOFTWARE SOLUTIONS PVT. LTD. A leading Digital Marketing Firm In India.
Alexander Hartmann.  Free service offered by Google that generates detailed statistics about the visitors to a website. A premium version is also available.
By: Mr Hashem Alaidaros MKT 445 Lecture 3 Title: Affiliate Marketing.
3 rd Party Data & Audience Targeting © All rights reserved. 3 rd Party Data – Collected both online and offline by 3 rd party data companies such.
1.Understand the decision-making process of consumer purchasing online. 2.Describe how companies are building one-to-one relationships with customers.
Copyright © 2003 by Marketspace LLC Mohammed, Fisher, Jaworski, Paddison Internet Marketing, 2 nd Ed Chapter 9 Lecture Slides Communication Exhibits and.
About me: Michael Braems Freelancer Online Marketing AdWords Specialist.
Copyright © 2009 Pearson Education, Inc. Slide 6-1 Chapter 6 E-commerce Marketing Concepts.
© 2008 Thomson, a part of the Thomson Corporation. Thomson, the Star logo, and Atomic Dog are trademarks used herein under license. All rights reserved.
CSE Data Mining, 2002Lecture 11.1 Data Mining - CSE5230 Web Mining CSE5230/DMS/2002/11.
WEB ANALYTICS ECOMMERCE SOCIAL MEDIA SEARCH ENGINE OPTIMIZATIO PAY PER CLICK MANAGEMENT EFFECTIVE WEBSITE COPY.
Copyright © 2002 Pearson Education, Inc. Slide 8-1.
The Internet Industry Week Four. RISE OF THE INTERNET THE INTERNET – a global system of interconnected private, public, academic, business, and government.
Canadian Advertising in Action, 6th ed. Keith J. Tuckwell ©2003 Pearson Education Canada Inc Elements of the Internet World Wide Web World.
Lesson 8 E-PROMOTION. What is a Small Business Entrepreneur? Entrepreneur n. a business man or woman of positive disposition who attempts to make profit.
Digital Citizenship Lesson 3. Does it Matter who has your Data What kinds of information about yourself do you share online? What else do you do online.
Internet Marketing and Interactive Media
9-1 Chapter 9 The Internet.
CHAPTER 8 Segmenting and Analyzing the Target Market.
Behavioral Targeting with Tacoda. Behavioral audience segments are built on observable behaviors such as: Recency, frequency and volume of visits to content.
Target relevant customers. Remarketing with Google Remarketing with Google. Target customers who have already shown an interest in your business.
CHAPTER 3 MARKETING PLANNING STAGE FOR ONLINE ACTIVITIES.
Chapter Twelve Digital Interactive Media Arens|Schaefer|Weigold Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution.
Defining Social Media Social Media Marketing Communications Digital Marketing Characteristics Types of Internet Advertising Mobile Marketing Social Behavior.
Copyright © 2007 Pearson Education, Inc. Slide 8-1 E-commerce Kenneth C. Laudon Carol Guercio Traver business. technology. society. Third Edition.
Steps to an E-business  Developing Concept and Selling Points  Domain name  Website Development  Sales and Marketing.
Ecommerce Basics Standard 2 Objective 1. Ecommerce Business conducted on the internet.
Chapter 4: Marketing on the Web. 2 How do you reach customers? Identify groups of potential customers Select the appropriate media Build the right message.
EmpowHER Overview and Recommendation: For Make Today Matter November 19, 2010.
Chapter 1: Internet Marketing Foundations. Chapter Objectives Describe how computers and servers communicate to enable people to interact with webpages.
Maximizing Resort Image Better Your Winning Percentage Social Media, SEO and Booking Engines Give the House the Advantage Fermin Cruz Dial An Exchange.
1 DATA-DRIVEN SOLUTIONS. 2 KEYWORD-LEVEL SEARCH RETARGETING TARGET USERS BASED ON THEIR RECENT SEARCH HISTORY AND SEARCH QUERIES. A user performs a search.
5.04 Demonstrate the use of technology in promotion.
Lead Generation with Effective Marketing Services Mail to: Marketing Services Provider.
DIGITAL MARKETING Strategies focused on increasing the reach and visibility for E-commerce Business.
Web Analytics Fundamentals Presented by Tejaswi, Chandrika, Sunil.
Some from Chapter 11.9 – “Web” 4 th edition and SY306 Web and Databases for Cyber Operations Cookies and.
Advertising Overview. Types of paid ads SEARCH Bid on keywords on various search engines DISPLAY Pop-up Banner Mobile Social Video NATIVE Promoted (social)
Lecture 9 Communication.
IAEWS Global Benchmark Survey Results
PROGRAMMATIC AUDIENCE TARGETING
Automated ad placement
The Internet Industry Week Two.
5.04 Demonstrate the use of technology in promotion
Latest Updates on BlackHawk Mines Music : Privacy Policy
Web Mining Ref:
Internet Advertising.
9 Communication chapter McGraw-Hill/Irwin
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall
PROGRAMMATIC AUDIENCE TARGETING
5.04 Demonstrate the use of technology in promotion
5.04 Demonstrate the use of technology in promotion
MARKETING PLANNING STAGE FOR ONLINE ACTIVITIES
5.04 Demonstrate the use of technology in promotion
Presentation transcript:

Interactive Brand Communication Class 9 Targeting the Internet Consumer Kuen-Hee Ju-Pak CSUF

Featuring Today …  The Concept of Targeting  Benefits of Targeting  Online Targeting Approaches

Targeting Delivering the right content / ads to the right person at the right time A major advantage of the Internet over other media Necessary when developing the right content/ad, in media/site selection, and in advertising scheduling

Benefits of Targeting  Targeting minimizes wasted impressions  Messages are received, perceived more positively  Targeting increases interest and response

Online Targeting Approaches:  the most popular approach offline, the most simplistic approach online  selecting sites or pages because of the fit between the content or context of the site and the expected interest of the target consumer Targeting Based on Content and Context

Online Targeting Approaches: Examples: Use ESPN SportsZone to advertise sports wear and equipment (by content) Mercedes Benz ad in the golf area on ESPN to reach golfers, the high-income demographic. (by content) A car dealership ad in the classified ad section listing automobiles for sale (by context) Use keywords (e.g., sports) or text links on search engines (by content and context) Targeting based on content and context

Online Targeting Approaches:  users are asked to provide their personal information in return for something of value to them (e.g., free newsletters)  example:  refer to ZA book for tips on how to induce visitors to register Targeting based on registration information

Online Targeting Approaches:  track visitors -- e.g., site visitors that go to the sports section numerous times could be “tagged” as sports people  facilitate behavioral targeting  used by ad or site serving services (e.g., MatchLogic, Engage Technology) Use of cookies for targeting

Online Targeting Approaches:  target messages based on consumer profiles collected from cookies  aggregates multiple databases to extract some patterned behavior and profiles for a number of sites  example: NetGravity’ Global Profile Targeting through database mining

Online Targeting Approaches:  building customer databases  segmenting users into affinity groups  matching or customizing messages, promotions to groups Targeting through profiling & personalization

Online Targeting Approaches:  Recommendations as ads: personalize content and make recommendations to customers based on previous inquiries and purchases (e.g., Amazon.Com, CDNow)  Personalization: sending different messages (or promotions) to different targets (target software like NetPerceptions keeps learning about the visitor behavior and getting smarter to deliver targeted ads more effectively) Targeting through profiling & personalization

Online Targeting Approaches:  Targeting based on actual behavior during visit  e.g., Revenue Science classify users into one of eight categories ( consumer techies, engaged investers, health enthusiasts, leisure-minded, opinion leaders, travel seekers, and so on) based on the kinds of subject matters they click on or demonstrate their interest in  useful to those sites that don’t ask visitors for personal information to view their content. Behavioral targeting

Online Targeting Approaches:  e.g., MSN 8.0 or NetPerception 7.0)  based on content and context  cookie-based  profiling  geographic targeting based on the IP address, SIC code, Zip Codes  session-specific targeting based on the browser type, domain, and computer platform (PC, Mac) used by the visitor in that particular visit or session  targeting by demographics (MSN 8.0) Targeting via ad management software

Online Targeting Approaches: Tracer tags : single pixel images placed on pages of the advertiser’s website so that activity on those pages can be tracked and correlated to the view or click of an ad Post-click analysis: tracks what people do at the advertiser’s site after they click on the ad helps determine the impact of the ad Post-impression (post-view through) analysis: can tell if exposure to an ad leads to conversion (visiting the advertiser’s site or pages related to the ad or taking action desired) within 30 days of the exposure ; helps determine the long-term effectiveness of a creative/message or the effectiveness of the site Third party targeting/ad management service: provides more and advanced features

Understanding Online Consumers: Presentation/Discussion: Get together as a two-person group, summarize and present the information in one of the tables in the readings list (to be distributed/assigned in class) to class