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Social Media & Big Data: Implications for MarketersMarch 2013
What is Social Media?
•Merriam Webster Online defines social media as “forms of electronic communication (as Web sites for social networking and microblogging) through which users create online communities to share information, ideas, personal messages, and other content (as videos)”
Total Users of Select Social Media Sites (March 2013)
Faceb
ook
Youtu
be
Googl
e+
Shaza
m
Skype
Rovio
(Ang
ry B
irds)
iClo
ud
Linke
dIn
Sound
cloud
Pando
ra
Tumbl
r
Inst
agra
m
Sound
Hound
Yelp
Flickr
Wor
dPre
ss
Class
mat
es.co
m
Reddi
t
Spotif
y
Branc
hout
Chang
e.or
g
four
squa
re
MyS
pace
Pinte
rest
-
200,000,000
400,000,000
600,000,000
800,000,000
1,000,000,000
1,200,000,000
Social Media Usage
•Facebook▫67% of online adults
•LinkedIn▫20% of online adults
•Twitter▫16% of online adults
•Pinterest▫15% of online adults
Facebook• Users
▫ 167 million unique visitors per month▫ 500 million likes per day▫ 24% aged 35-44▫ 58% women, 42% men▫ 350 million users suffer from
Facebook Addiction Syndrome• Ad policies
▫ Advertisers will be able to sync CRM database info with Facebook user info Brands will be able to more
effectively target users without waiting for them to “like” the page
Users can opt-out• Marketers are much more interested
in data from Facebook interactions than less prevalent sites
• Produces a “Gross national Happiness Index” through text mining words and phrases posted
LinkedIn• Largest professional social
network• 2 new members sign up
every second• 42% of users update their
profile regularly• 65% Male, 35% Female• 82% of users are aware
there are ads▫ 60% have clicked
• Corporate talent solutions are used by 85 Fortune 100 Companies
Twitter• Users
▫ Adults 18-29▫ African Americans▫ Urban residents▫ “The disproportionate
African-American use of Twitter has fascinated culture commentators and scholars”
• Ad policies▫ Advertisers can target users
based on broad categories▫ Categories are not created
from contents of tweets, but other actions and who the user follows
Pinterest• 12 million unique visitors
per month• 79% women, 21% men• 29% of users aged 25-34• Users have higher average
income than Facebook & Twitter
• Average time spent on Pinterest▫ 1 hour 17 minutes
What is Big Data?•There is no pat definition for big data… In
fact, big data can be relatively small, but represents a difficult processing-time issue. Basically, you’ve got big data whenever you exceed the capacity of a conventional relational database to handle it.” –Jim Davis, Senior VP/CMO at SAS▫Much of the data mined from social media can
be considered big data, because incorporating it into current databases and CRM systems can be problematic.
Social Media Data Mining• Social media users share a considerable amount of
information about themselves through their posts, likes, tweets, and connections. Social media data mining allows marketers to:▫Discover new niches▫Tailor advertisements to best meet the needs of smaller
demographic groups▫ Identify and/or predict buying patterns▫Manage customer issues before they become PR
problems▫Conduct research to aid in the development of new
products and services▫Conduct sentiment analysis
Sentiment Analysis
•“Social media is the canary in the coal mine. It provides early warning of issues that can become major problems if they are not detected quickly.” –Catherin van Zuylen, VP of Products at Attensity
Sentiment Analysis
•Sentiment analysis is “… one particular form of social media data mining, involv[ing] the application of a range of technologies to determine sentiments expressed within social media platforms about particular topics, in order to arrive at a measure of the ambient, or general sentiment”
Sentiment Analysis: How it works• Text mining
▫Natural Language Processing Determines whether comments are positive, negative or
neutral by analyzing word use, order, and combinations• Often done by third-parties
▫Provide clients with: Insight on how to engage with their customers Community management services Raw data
• Began as a score or grade for the business, however the new trend is to use the data in real time to deepen client/customer relationships
The good…• Companies want to know what people are saying about
them• Consumers are trusting advertisements less, and peer
recommendations more• Insight into customer opinions was previously
unavailable on such a large scale▫ Possible Outcomes
Better customer service Quick resolution of customers’ problems Better products and services available to consumers Marketers can create better messages and identify the most
efficient means of delivery Businesses can gain a deep understanding of their target
audience’s psychographics
… and the bad• Slang, abbreviations, sarcasm are common on social networks,
and are difficult to process • Studies have shown that it is difficult to extract sentiment from
the things/ideas people tweet/post about most• The analysis may be inaccurate
▫ 70% accuracy is considered good▫ Data may not be “clean”
• Monetization of personal relationships• Social discrimination
▫ Less desirable demographic groups may be marginalized • Positivism problem
▫ People tend to give high ratings on many sites • General public is largely unaware of this practice• What data is considered public on social networks? When you
join a social networking site, are you implicitly opting-in?
Issues in Social Media Data Mining•While there have been few cases of the use of
data from social media sites for illegal or unethical purposes, many in the industry believe it is more of a matter of when, not if.
•Companies mining data from social media sites are also very secretive about what they do, and how they do it. This is partially due to the fact that it is a new frontier and they do not want to give away trade secrets, however the opacity makes some experts nervous.
Issues in Social Media Data Mining• Privacy issues
▫ Thoughts and feelings shared become part of a “vast market research project”▫ Data is readily available through social networks and aps. The more data, the more of a chance
for problems Employees leaking customer information Hackers
• Mobile▫ Over 50% of Americans own a smartphone
Aps have location data and access to address books in phone Companies can predict where users will be throughout the day Companies know who your friends, family, and coworkers are
• Ethics▫ How are companies obtaining their data?▫ Do consumers know they are being tracked?
• Legislation▫ US
Consumer Privacy Bill of Rights Federal Trade Commission legislation
▫ Loose framework▫ Opt-out and privacy notices
▫ European Union “Do not track” policy
Consumers must opt-in
Data Applications• The best way to analyze data mined from social media is to use a
combination of computational and manual methods. Analytics programs can be used to clean and help code large datasets. Human coders are then used to check for accuracy, as computers cannot pick up on contextual clues, sarcasm, or humor.
• Some programs that can be used for mining big data include:▫ Apache Hadoop▫ Apache HBase▫ Apache Hive▫ Cassandra▫ Cloudera▫ Greenplum▫ Hadoop Distributed File System▫ Hortonworks▫ MapReduce▫ MongoDB▫ NoSQL
Best Practices in Social Media Data Mining• Employ a combination of computer technology and human analysis
▫ Even sophisticated programs have difficulty extracting meaningful insight because of the prevalence of slang, abbreviations, humor, and sarcasm on social media sites
• Ethical collection of data▫ US policy is a very loose framework▫ Collect only data that is considered public▫ Use a reputable third party company for social media data mining to
avoid ethical issues• Do not collect personally identifiable information
▫ Unless it will be used to resolve customer issues• Focus on using data from big groups to create psychographic profiles
and uncover the general sentiment• React quickly to customer problems• “Listen” to what customers are saying to provide better products and
services▫ As opposed to monitoring to keep control of the online conversation
Companies offering Social Media Data Mining Services• 33Across • Attensity• Get.It • McKinsey Global • Media6Degrees • Pentaho • PHD • Place1Q • SAS • Skyhook • WiseWindow
Social Media Data Mining for Marketing• Mining and analyzing the vast amount of information
available on social networks will be a win-win situation for marketers and consumers if ethical issues can be avoided. Currently, companies who mine big data average 6% higher productivity than those that do not.
• Marketers can:▫ “Listen in” on online conversations to get a better understanding
of: Who their customers are What products they want and need What advertising messages are most effective What channels are most effective
▫ Change their messages or target groups in real-time▫ Help manage PR issues through quick customer service▫ Aid in the development of new products and services
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