Christian Livingston Megan Lukan Lisa Simonis Agenda Email Schematic Function Schematic Demographic Breakdown Waze Schematic Function Schematic Demographic Breakdown Twitter Schematic Function ID: 801513
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Slide1
HIWAZE
Valarie Hilkert, Ben Dufrane, Cynthia Goetsch
Christian Livingston, Megan Lukan, Lisa Simonis
Slide2Agenda
Email
Schematic Function
Schematic
Demographic Breakdown
Waze
Schematic Function
Schematic
Demographic Breakdown
Twitter
Schematic Function
Schematic
Demographic Breakdown
Review
So What
R
ejects
Slide3Straightforward routine Messages
Focus on pre-established Relationships
C2C Communication, B2B or B2C Marketing
Large Amounts of Information to a Person/Group
Lean Form of Communication
E-mail
Slide4Schematic Functions
E-mail (Pre-mobile)
Shape Variations
Functionality
Personal Users
Business Users
Lost Communication
One-way
CommunicationTwo-way Communication
Color Variations
Blue Arrows =Inter
-User Communication
Red Arrows=
Inter-Business Communication
Black Arrows=Business
to Business
Slide5E-mail
Slide6E-Mail Demographics
Business to Business
Most Interaction between Users
Inter-Business Interaction
Business to Personal
Mostly one-way
Many lost Messages
Little Interaction other than to inform
Personal to Business
Mostly one-way
Little Interaction between Users
Personal to Personal
Most Interaction between Users
Two-way Interaction
Slide7Waze
GPS Navigational App
User to Data Base
Data Base to Business
Content specific to Traffic Information
Business sells Data to Advertisers
Slide8Schematic Functions
Waze
Shape Variations
Functionality
Commuters
General User
News Media
City Government
Two-way Communication
One-way Communication
Return CommunicationGatekeeper
Color Variations
Blue Arrows =Inter
-User Communication
Red Arrows=
Media Information
Black Arrows= Gatekeeper Communication
Green Arrows = User to Gatekeeper
Slide9Waze
Slide10Waze Demographics
Commuters
Closest to Gatekeeper
Most Interaction between Users
Targeted by Advertisers
News Media
Closest to Gatekeeper
No direct Interaction other than to inform
Pulls Content from other Users
City Government
One-sidedNo interaction with Users
Pulling Information General Users
Farthest from GatekeeperLittle Interaction
Primarily GPS function
Push system allows access to democratization, but the pull system through Gatekeepers takes it away.
Slide11Twitter
User to User Base
Business to User
Brand within a Brand Demographics
Opinion Leaders high Communication flow
Some Communications don’t reach the intended Receiver
Slide12Schematic Functions
Twitter
Shape Variations
Functionality
Teenagers/Young
Adults
Business Brands
Celebrity Brands
Adults
One-way CommunicationTwo-way Communication
Lost CommunicationGatekeeper
Color Variations
Blue Arrows =Teens/Young Adult CommunicationRed Arrows=
Brand CommunicationGold Arrows= Adult CommunicationLarger Circles =
Opinion Leaders
Slide13Twitter
ze
Slide14Slide15Twitter Demographics
Teens
Most Interaction between Users
Larger Audience
Most targeted by Businesses
Brand Loyal
Business Brands
Uses Celebrity Brands
Pushes Communication to Users
Celebrity Brands
Brand within a Brand
More one-way Interactions
Adults
Uses more for News and Information
Slide16Lets Review
Users
Content
Wow- Factor
Email
Essentially Everyone! Pre-established Connections.
Private Conversations. Lengthy Content.
Paved the Road toward Social Media.
Waze
“Driven” by Drivers who push Information.
Who Pulls that Information?
Specific and limited.
Community driven. Toward a common Goal.
Twitter
Connecting Brands with Consumers or Consumers with each other.
Condensed publicized Content.
Energy. Fast paced Web of established Networks to connect with the Un-connectable
Slide17SO What?
Slide18Rejected Solutions