Amazon Go Recommendations Based on Behavior Mod
SCI-ENG-004… Discussions Forum: Amaz…
This is a graded discussion: 10 points possible due Mar 13 at 7:59am
Forum: Amazon Go Recommenda!ons Based on Behavior Mod 1
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Amazon Go Recommendations Based on Behavior Mod
Participation in this discussion forum is mandatory and will therefore be evaluated as
part of your final grade. Before participating in forums, you must study the module’s
content; section 4 is particularly helpful.
Please read all three question topics below—A, B and C—before you begin writing.
While you are working on B, you may want to answer parts of C before. The answers
you write will prepare you to discuss these topics in this forum, in which we will
share our thinking on these issues.
A. Please think back to Topic 1 of this Module, entitled A Problem We Can Solve Using
Behavioral Science: The Amazon Go Store. Now, after having read through this
Module, what do you think of what you wrote then? Does “Future You” now have any
advice for “Past You” who wrote that comment? (Apologies to the TV show “The
Office” [American version].)
B. In behavior mod terms, what is the behavioral landscape, and what kinds of
interventions might we consider?
1. What is the current behavior pattern—the operant behavior?
2. What behaviors might we want to encourage the consumer to start—using an
antecedent stimulus?
3. What behaviors might we want to encourage the consumer to continue—using
reinforcement?
4. What range of ideas for stimuli would you propose to use as antecedent
stimulus and reinforcement?
5. What schedules of reinforcement should we consider?
C. Please complete our course marketing brief form for Amazon Go:
1. What is the business problem or opportunity?
2. Who is the audience?
Examples of how we might answer this:
a. Is it all users of the category?
b. Our own brand users only?
c. Our brand users plus key competitors?
d. Is it our most valuable customers?
e. Is it users of our key competitive brand who we want to switch to our
brand?
3. What is the desired consumer response?
Examples of how we might answer this:
a. Do we want existing consumers to buy our brand more often?
b. Do we want to attract new customers?
c. Do we want to reduce the number of consumers who switch from our
brand to other brands?
d. Do we want to increase purchase frequency among current customers?
4. What is the key thing we know about the consumer? (This is the key
consumer insight and the hypothesis)
5. What marketing action do we predict will bring about the desired consumer
response? (This is the hypothesis-based prediction)
6. How will we test the effectiveness of the marketing action?
As an inspiration for what Amazon Go may want to do in order to increase or
maintain the frequency of consumer visits, the instructor of this course would like to
offer up the photo below. It is a picture of a small square of chocolate, offered free
with every order at a coffee shop in his Chicago neighborhood:
Recommended length: 150-300 words
Evaluation criteria:
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Quality: The participant supported their argument with credible sources that were
cited appropriately.
Engagement: The participant responded to other comments with meaningful
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respond.
We remind you to respect your peers and contribute comments related to the
topic at hand when participating in discussions.
To comment, click "Reply" just below the instructions. Enter your ideas in the text
box, then click "Post Reply." Replies to a comment are grouped as a conversation
thread within the forum.
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Thais Buarque Wednesday
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Welcome to module 2!
This forum assignment is specifically about Amazon Go, but to give you some
more inspiration and also to help in case you need an example for the Modifying
Behavior Assignment for this module, I'll leave you this source below.
Behaviorism and Loyalty programs
https://www.newsweek.com/americas-best-loyalty-programs-2022
Note that the first (many) slots are filled by the clothing industry. They also
mention gamification, which Victor brought up in the Hypothesis forum.
"By one estimate, the average U.S. household is enrolled in 18 different loyalty
programs. The challenge for companies is not getting customers to sign up, but
motivating them to become truly engaged program users; research shows that
consumers only actively use half of the plans they're enrolled in. The challenge for
consumers is to decide which of the crowd of programs vying for their attention
are worthwhile."
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