ELC 310 Day 19
Agenda Questions? Two major assignments Left –C–Case study analysis of an existing case Week after break 10% –C–Creation of a case study Last week of the semester 16% Case Study Proposals Due Nov 29 –L–Less than one page on the company you will be writing a case study on and where you will be getting the research. –B–Brick and mortar company that used a eMarketing strategy Starting today we will be in the text ebusiness.marketing –F–Friday, Nov 20 Chap 2 & 3 –T–Tuesday, Nov 22 Chap 4
Schedule for last days of class November 18 – Albert Chap 2 & 3 November 22 – Albert chap 4 November 29 – Instructor presentation of case study analysis December 2 – Student Case study analysis presentations December 6 – Student Case study analysis presentations December 9 – Student Case study analysis presentations December 13 – Albert Chap 13 & 14 December 16 – Written Case Studies Due – Quiz 4 December 22 in Finals week at 3PM – Case study presentations
Case studies (must pick one by next Tuesday) Chap 5 – Specialty manufacturer – CRM Chap 6 – Steel Industry – ERP Chap 7 – Hardware distributor – SCM Chap 8 – Utilities – BI Chap 9 – Bot-for-Profit – CRM Chap 10 – Consumer Packed Goods – CRM Chap 11 – Insurance – SCM Chap 12 – Financial Services – E-commerce and BI
Chapter Two The Marketing Mix Transformation
Overview The Transformation of the Marketing Mix The Internet's Impact on the Marketing Mix Business-to-Consumer Marketplace B2C and Traditional Distribution Business-to-Business Marketplace Ranged Marketing Complexity Theory Fuzzy Logic Elements of Ranged Marketing The Key Role of Change The Role of Ranged Marketing
“Traditional” Marketing Mix Four Ps (McCarthy, 1960s) Four Cs (Schultz, 1990s) – main causes of transformation Database Outside looking in versus in side looking out Internet impact on the 4Ps/4Cs – Product >> customer solution – Price >> customer price – Promotion >> communication – Place >> convenience
Marketing Mix E-Business enables transformation 4 Ps to the 4Cs – Product Customer Solution – Price Customer Cost – Promotion Communication – Place Convenience Caveat emptor Cave emptorum
Internet enabled outcomes Leverage database marketing technology – Quantitative information Purchase patterns Demographics Psychographics Attitudes, Interest and opinions Targeted promotion Personalization on a Massive scale Distribution
Impact on Services Marketing What is Services Marketing? Four factors impacted – Intangibility (can’t touch) – Simultaneity (produced/consumed) – Heterogeneity (different each time) – Perishability (can’t be stored) 4 extra P’s – People – Processes – Physical image – Productivity
Internet Business Environments B2B – definition – size/opportunity B2C – definition – size/opportunity C2C – definition – how did the Internet enable this?
Background for Ranged Marketing Complexity Theory (chaos) – Small permutations create massive change – Fractals – Fuzzy Logic – Nothing is perfectly predictable – Lorenz’s Butterfly effect Results – The unexpected occurs – Change is certain – The market is heterogeneous
Ranged Marketing Marketing is a combination of many disciplines Ranged marketing incorporates sociological theory – Increased communication accelerates change Other research – Hoffman and Novak Hoffman and Novak – Organic solidarity Organic solidarity E. Durkheim
Elements of Ranged Marketing Range of……... Use Expertise Target Markets Development Life Adaptation Change
Change/Transformation Successful company example – Volvo – UPS UPS as traditional company – transformation into e-business – – successful? – What was their “formula”?
Words to think about “The future ain’t what it used to be.” – Yogi Berra “It’s not the strongest or most intelligent that survive, but the ones most responsive to change.” – Charles Darwin
Chapter Three The Value Bubble
Overview Five Elements of the Value Bubble Applying the Value Bubble Attracting (Building Traffic) Engaging (Building Loyalty) Retaining (Strengthening the Relationship) Learning (Building the Database) Relating (Data-Driven Interactions) Business-to-Business Value Bubble Adaptations
McKinsey Model A model for Marketing On-line Originated in mid-1990s Updated through ongoing research Three opportunities in original model – lower cost of providing services – relationship building – redefine channel intermediation
Five Steps Attract Engage Retain Learn Relate Extension from Learn: GIST (chapter 14) – Gather->Infer->Segment->Track Most companies falter in last 2 steps
Figure One Attract (Building Traffic)
“Formula to Attract” Offline Online PR Buzz Traditional Stores Links Microsegmentation Involvement
Technology Attraction Flash Graphics – dancing baloney Jakob Nielsen’s work – Useability – BI component
Figure Two Engage--Building Loyalty
Engage Strategies Form and Substance BI “One voice” EC--the sale Client side/server side Beginnings of CRM
Figure Three Retain--Strengthening the Relationship
Retaining Strategies Repeat Visits--site is the firm E-Service Quality Model – Purchase – Loyalty – WoM Web features and attributes – e-service quality dimension Core Service Recovery CLV precision Cookies
Figure Four Learn--Building the Database
Learning Strategies Integrated databases – offline and online Log files Clickstreams GIST model – Gather – Infer – Segment – Track
Figure Five Relate--Data-driven Interactions
Relating Strategies Segments of one Privacy (the paradox) Targeted communication – s Competitive edge
Business-to-Business Financial advisors’ study Adoption rate by web site features Different motivation (“buying criteria”) – extrinsic – SCM, ERP leading to CRM – more obvious than B2C Organic solidarity – "...Even where society relies most completely upon the division of labor, it does not become a jumble of juxtaposed atoms, between which it can establish only external, transient contacts. Rather the members are united by ties which extend deeper and far beyond the short moments during which the exchange is made. Each of the functions that they exercise is, in a fixed way, dependent upon others, and with them forms a solidary system." >> Durkheim, Emile The Division of Labor in Society Translated by George Simpson. New York: The Free Press.