ONLINE CONSUMER BEHAVIOR AND ADVERTISEMENT

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ONLINE CONSUMER
               BEHAVIOR AND
               ADVERTISEMENT

 Spring 2011              e-Commerce Implementation

Understanding customer decision making
How will customer decide what to purchase and who to buy
   from?
  What factors will they consider?
  What is relative importance of various factors?
  Above 2 elements change for each product category and
    often from customer to customer.
We can know general customer characteristics, but must
   supplement that with knowledge of our actual and
   prospective customers.

                                                           1
Generic Purchasing-Decision Model
Five phases:
    Need identification
    Information search
       What specific product will I buy?
          product brokering
       Who will I buy it from?
          merchant brokering
    Alternative evaluation
    Purchase and delivery
    Post-purchase behavior and evaluation
If product we offer is unique, merchant brokering is minimized for our
     product.
If product is not unique, how will I get customers to buy from me?

                                                                         2
Selection factors for consumers—product issues
How expensive is the product?
  Price not the only factor, but generally significant.
  Lowest price doesn’t always win. But if not lowest, must
    establish value.
    Better pre-sales support
    Quicker shipping
    Cheaper shipping
    Better return policy
    Better reputation (product or vendor)
    Many other possibilities

Selection factors for consumers—product issues
How easily can customers find what they are looking for?
   (navigation)
  Does site design support shopping in a manner consistent
    with mental process?
  Searching vs. Browsing
How well does customer know/understand product?
  What information is needed to make purchase decision?
  Are key details presented in a way to facilitate customer’s
    finding what they want?

                                                                3
Selection factors for consumers—product issues
How confident are they in the product?
  Familiar brand names lend confidence.
  Customer cannot physically touch product, so must convince
     them of quality at a distance.
Can they assess alternatives and make a decision, or does site
   hamper them?
  Poor site design leads to customer frustration, and ultimately
     to lost sales.

                                                                   4
Selection factors for consumers—merchant issues
Do they trust the retailer?
    Do site design, information currency, and other factors lend
       credibility?
How comfortable is customer with shipping and total cost?
    Can customer easily see total and shipping alternatives?
How can customer get help?
    Can customer contact us and get a reply? Timely?
       Immediately?
Is store focused on customer and relevant for his needs?
    Is there any type of personalization used?

                                Electronic Commerce 2008 by Turban, Lee, King, McKay, and Marshall

                                                                                                     5
Getting to know an invisible customer
What are we looking for?
  build a personal profile to explain and predict online buying
    behavior
Learn about an individual customer
  What products does he like?
  What styles/sizes/color/etc. does he purchase?
  What questions does he have?
  What else would be helpful for him to know?
Look for trends on the whole
  Are particular product sales spiking?
  Which site pages are most typically visited? Not visited?
    Why?

Getting to know customers
Solicit information directly from the user. Ask them questions!
Build from previous purchase patterns
Perform marketing research
“Observe” what people are doing online
Personalization
   The matching of services, products, and advertising content to
      individual consumers
One-to-one marketing
   Marketing that treats each customer in a unique way
Behavioral targeting
   Using information collected about individual’s browsing behavior
      (pages visited or searches made) to select ad to display

                                                                      6
Tracking methods
Log-file Analysis—clickstream behavior
  How many visitors?
  What products looked out?
  What ‘path’ did they take through store?
  How long did they linger over items?
Data mining—in-depth examination using algorithms and tools
   looking for “hidden” information.
  Too much data may be available—need business intelligence
     to organize, edit, condense, and summarize.

Customer volunteered tracking methods
Customer registration allows us to identify their activities.
Cookies—typically used for customer identification and tracking.
  Can be used to track known or anonymous user.
  Considered voluntary. Is it really?

                                                                   7
Tracking vs. Privacy
Is my tracking of customer activity invading their privacy?
Do I have a right to…
   make a record of all customer activity on my site?
   use that information to build an individualized customer
     profile?
   give that information to other companies I partner with?
   sell that information to others?
   publish it?

Using the information—personalization
Collaborative filtering—compare user with others
   similar and make recommendations accordingly
  Competitive advantage from experience
Rule-based personalization—pre-determined
   hypotheses about interests

                                                              8
Consumer Behavior to Advertising
What we know about our customer influences
What we communicate to our customer
Frequently through online advertising
Advertising: promotional communication using mass media.

Why advertise online?
Participation in other media in decline. Internet participation
    growing.
Easier to engage in statistical monitoring and evaluation.
Cost is favorable.
Format allows us to do things not possible in other media:
  Extensive personalization
  Interactivity
Communication can be timely. (No lag in publication.)

                                                                  9
Types of online ads
Banner ads—online equivalent of a billboard
  Random banner—ad has no direct relationship to other page
     content.
  Keyword banner—ad is tied to content, perhaps with search
     engine response.
Pros:
  If interested, visitor can click ad for more information.
  Potential for customization (to user, for content, etc.)
  May include multimedia or other attention devices.
Cons:
  May be expensive on popular sites.
  Small space to work with.

Banner placement
May pay based on time (rare), number of views (CPM), number
    of clicks (click-thru), or variations (pay per lead, pay per sale,
    etc.).
Banner swapping—two companies agree to display each other’s
    banners.
Banner exchanges—multi-company system of bartering banner
    ad displays and placement.
Measuring effectiveness:
Click ratio—ratio of number of times an ad is clicked vs. number
    of times it is displayed.

                                                                         10
Other Ad and promotion types
Interstitial—ad interrupts navigation and requires user to
    dismiss ad to continue.
   “Forced” ad
   Often used when user is downloading content
Advergaming--advertising based in games the user plays.
Email advertising--solicited (“Opt in” lists)
Viral marketing--word-of-mouth marketing by customers, often
    in social networking sites.

Important issues
Novelty of web is wearing off. Businesses looking hard at data.
Have to draw people to our site for it to be effective. (Use
    traditional advertising)
Quality of presentation hard to control—medium not “fixed” in
    presentation like most (vs. TV, magazines, etc.) (Flash,
    Javascript, etc.)
Virtual community nature of web may allow us to invent new
    types of “advertising”
   Customer contributed product reviews
   Customer oriented suggestions, groupings, etc.
   Feedback can be much more distributed

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Copyrights

                                 Presentation prepared by and copyright of Dr. Tony
                                   Pittarese, East Tennessee State University, Computer and
                                   Information Sciences Dept. (pittares@etsu.edu)
                                 Podcast lecture related to this presentation available via
                                   ETSU iTunesU.
Various figures are from the class textbook Electronic Commerce 2010: A Managerial Perspective by Turban et al

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