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User Generated Content
Data Analysis
Group C
Faye Liu, Pavan Chavva, Jim Cahill, Tom Meagher, Deepika Beemanpally, and Zhaoran Wang
Outline
Overview1
Data Analysis & Recommendation2
3 Conclusions
Overview
Provide recommendations for
using user generated content
(UGC) to attract more customers
“
Overview / 4
Overview / 5
1.1kresponses
gender
age
occupation
3blogs
tlog
plog
vlog
561questions
easy of use
credibility
accuracy
WearTek
Develops fitness applications and fitness hardware
Appropriate for a wide variety of fitness levels
How can we attract more customers? What market segments
do we target?
Overview / 6
We considered all of the UGC generated and all of the analysis
Goal was to determine how to best market the product and
what segments to target.
WearTek
Overview / 7
Data Analysis & Recommendation
Social Media
Products:
Plogs > Tlogs > Vlogs
Females : Tlogs > Males :Plogs
White, African Americans
Part time employees
Over 45 years
Analysis / 8
Social Media
Services:
Plogs > Vlogs > Tlogs
Females : Plogs > Males :Vlogs
White, African Americans
Part time employees
Over 45 years
Analysis / 8
Social Media
High Income
High Education(Masters)
No Gender bias
Full Time Employees
Trust
Vlogs > Plogs > Tlogs
Females > Males
White, African Americans
Part time employees
Over 45 years
Male V.S. Female
Easy to use?
Creator Credibility Information Credibility
Male V.S. Female
1. Questions we used
2. Past 1 Yes 2 No
Future 1 Unlikely - 5 Likely
Product V.S. Service
·Questions we used.
·Income, Gender, and Age
groups.
·Which group should be
targeted.
Product V.S. Service
Services > Product
TLOG: all income group
PLOG: group 7-group 10
VLOG: group 9- group 11、
Target Group: high income group
Conclusions
Conclusion
To make a viral campaign WearTek should target Female
users with a TLOG.
Vlogs are useful to portray a credible brand image
Conclusion Continued
Female executives over 45 years can be targeted for
marketing on social media.
Not only white and african american but any ethnicity.
Questions
Group C

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User Generated Content Data Analysis