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Social Media for 
Consumer Insights 
Allison, Danielle, Stephanie
Social Media in Research 
-By definition, social media research is the application of 
scientific marketing research principles to the collection 
and analysis of social media data such that valid and 
reliable results are produced 
-Since every decision marketers make is based on what 
they know about the target audience, marketers need to 
know the answers to questions about consumer 
personalities and past experiences, motives and fears, 
responses to campaigns, brand loyalties, and media usages
What can researchers monitor? 
-Anything that is publicly available in the social media space. 
This includes: 
-Conversations in social networks and forums 
-Blog posts and comments 
-Product reviews, photos shared in sites such as Flickr 
-Videos shared on sites such as YouTube 
-Social bookmarks and comments 
-Microblog posts
What can researchers monitor? 
There are two types of marketing research to help marketers: 
Primary research: 
-Information is collected for the research purposes at hand 
-Primary data can help marketers to understand consumers in 
the market, including psychological makeup, spending and 
media consumption patterns, and responsiveness to message 
appeals and offers 
-Primary research is conducted by observation, focus groups, 
and in-depth interviews
What can researchers monitor? 
Secondary research: 
-Information is already collected and available for use 
-It may be internal, published publicly, or available through 
syndicated sources 
-Information might include data on background on the market, 
industry, competitors, and the brand’s history 
After data is collected, it is analyzed using qualitative research.
Qualitative Social Media Research 
Two types of research involved: 
Observational Research: 
-Involves recording behavior or the residual evidence of behavior 
-The goal is to listen and respond, more so than to pursue systematic research 
-This method is very useful for social listening. The following are some of the 
top tools to use for social media listening: 
-Technorati -Google blog search -Google Trends 
-Blog pulse -Twitter search -Trendrr 
-OneRiot -Kosmix -TalkDigger 
-Hashtags -Trendpedia -Google Alerts
Qualitative Social Media Research 
Ethnographic Research (Netnography): 
-Adapts ethnographic research techniques to study the communities 
that emerge online 
-Used when marketers want to know how “real” consumers use 
their products 
-This method is useful when wanting a deep understanding of a 
specific community or target audience. 
-Can get information through online forums such as chat rooms, 
message boards, and social networking groups to study the attitudes 
and behaviors of the market involved
The Dark Side of Social Media 
-Before r 
researchers conduct a study, they need to get informed 
consent from all participants 
-In the social media environment, many people share their 
personal information, so researchers feel they do not need to seek 
permission to analyze the content 
-Some researchers engage in social media communities so that 
they can access data and even start conversations with people on 
the topic they are researching (social media’s version of “man-on-the- 
street interviews")
The Dark Side of Social Media 
As a start toward developing guidelines for social media researchers, one 
blogger proposed a set of rules which include: 
-If content is posted to a public domain, it can be used by the researcher 
-If content is posted in a “gated community”, researchers should announce 
their presence and request cooperation. 
-Processing of personally identifiable data should require informed consent 
-All data should be made anonymous 
-Take steps to ensure that no harm is done
Quantitative Social Media Research 
Monitoring and Tracking 
-Social media monitoring is one of the most popular approaches to social media 
research 
-It works with the aid of software that searches keywords and crawls the web 
for information (eg. Google) 
-Monitoring explains what was said, when, by whom, and how many times 
-Researchers collect this information and then set up a research design so that 
their hypotheses can be tested out properly
Quantitative Social Media Research 
Sentiment Analysis 
-A sentiment refers to how people think of feel about an object such as a 
brand or a political candidate 
-Collecting and analyzing sentiment data can provide an alternative to 
attitudinal surveys of consumers if people are talking about what you need to 
know in social spaces 
-It is sometimes called “opinion mining”, which means to analyze the 
content to determine the attitude of the writer 
-When people feel a certain way they are likely to choose certain words that 
tend to relate to an emotion. From these words, the researcher will create a 
“word-phrase dictionary” to code the date
Quantitative Social Media Research 
Content Analysis 
-An analysis approach used to identify the presence of concepts and themes 
within qualitative data sets 
-For example, a researcher might test a hypothesis that TV commercials 
reinforce traditional sex-role attitudes by sampling a large number of ads that 
aired during a certain period of time and comparing the occupations that male 
versus female actors portrayed 
-To conduct a content analysis, the text is broken down into categories--word, 
word sense, phrase, sentence, and theme--and then examined further for 
interpretation
Caution! Errors and Biases 
Every study has a certain amount of error that 
cannot be precisely specified 
- Researches goal is to minimize 
- Coverage Error 
- Sampling Error 
- Nonresponse Bias
Coverage Error 
1st source of potential error 
- Failure to cover components of population 
- Tweets are largely public content 
- Fail to specify places people hang out 
- GameTalk forum not included as a group
Sampling Error 
Result of collecting data from only a subset 
- Heightens chance of results being wrong 
- Example: Sampled female gamers in 50s 
Two situations causes concerns 
- Echo Effect 
- Participation Effect
Echo Effect and Participation Effect 
Echo Effect AKA → Online Echo: refers to the 
duplication in conversation volume that tends to 
occur in social media spaces 
Example: Twitter 
- How should retweets and reposts be counted in a study? 
- How should researchers handle these issues in the 
collection of data?
Nonresponse Bias 
The potential that those units that were not included in the final 
sample are significantly different from those that were 
- People who are willing to take a 30 minute phone survey 
may differ from those that don’t 
Why are we concerned? 
- Specified population based on communities customers are 
likely to use 
- Ultimate Interest = attitude and behaviors of peoples, not 
sites
Sampling Weights 
Issues can be managed after data collected using → 
Sampling Weights: adjustment factors applied to adjust for 
differences in probability of selection between cases in a 
sample 
- Example: Less than 9% Internet users are Twitter users 
but generates up to 60% of SM monitoring tool monitor 
To get a more accurate picture → Sample relatively fewer 
tweets than other kind of posts
Sample of Social Media Monitoring Providers 
- Radian 6 
- Broad coverage of SM channels 
- http://www.youtube.com/watch?v=8i6Exg3Urg0&list 
=PLC252F7845BE744AE&index=7 
- ScoutLabs 
- Affordable = $250/Month 
- Sysomos 
- NetBase
Example of Primary Research 
Firefly MB 
- global qualitative research 
company 
- Paritpants → 15 countires 
- message boards, Facebook, 
Twitter and Craigslist
Case Study: Dove Real Beauty 
http://www.youtube.com/watch?v=r79Q6gAQ 
hao
Group Activity 
Now it’s YOUR turn! 
1. Come up with a campaign that would 
impact people’s lives. You can include a 
pre-existing brand if you would like. 
2. Who is your target audience? 
3. What social media would you use to 
promote the campaign?

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Group Chapter Presentation

  • 1. Social Media for Consumer Insights Allison, Danielle, Stephanie
  • 2. Social Media in Research -By definition, social media research is the application of scientific marketing research principles to the collection and analysis of social media data such that valid and reliable results are produced -Since every decision marketers make is based on what they know about the target audience, marketers need to know the answers to questions about consumer personalities and past experiences, motives and fears, responses to campaigns, brand loyalties, and media usages
  • 3. What can researchers monitor? -Anything that is publicly available in the social media space. This includes: -Conversations in social networks and forums -Blog posts and comments -Product reviews, photos shared in sites such as Flickr -Videos shared on sites such as YouTube -Social bookmarks and comments -Microblog posts
  • 4. What can researchers monitor? There are two types of marketing research to help marketers: Primary research: -Information is collected for the research purposes at hand -Primary data can help marketers to understand consumers in the market, including psychological makeup, spending and media consumption patterns, and responsiveness to message appeals and offers -Primary research is conducted by observation, focus groups, and in-depth interviews
  • 5. What can researchers monitor? Secondary research: -Information is already collected and available for use -It may be internal, published publicly, or available through syndicated sources -Information might include data on background on the market, industry, competitors, and the brand’s history After data is collected, it is analyzed using qualitative research.
  • 6. Qualitative Social Media Research Two types of research involved: Observational Research: -Involves recording behavior or the residual evidence of behavior -The goal is to listen and respond, more so than to pursue systematic research -This method is very useful for social listening. The following are some of the top tools to use for social media listening: -Technorati -Google blog search -Google Trends -Blog pulse -Twitter search -Trendrr -OneRiot -Kosmix -TalkDigger -Hashtags -Trendpedia -Google Alerts
  • 7. Qualitative Social Media Research Ethnographic Research (Netnography): -Adapts ethnographic research techniques to study the communities that emerge online -Used when marketers want to know how “real” consumers use their products -This method is useful when wanting a deep understanding of a specific community or target audience. -Can get information through online forums such as chat rooms, message boards, and social networking groups to study the attitudes and behaviors of the market involved
  • 8. The Dark Side of Social Media -Before r researchers conduct a study, they need to get informed consent from all participants -In the social media environment, many people share their personal information, so researchers feel they do not need to seek permission to analyze the content -Some researchers engage in social media communities so that they can access data and even start conversations with people on the topic they are researching (social media’s version of “man-on-the- street interviews")
  • 9. The Dark Side of Social Media As a start toward developing guidelines for social media researchers, one blogger proposed a set of rules which include: -If content is posted to a public domain, it can be used by the researcher -If content is posted in a “gated community”, researchers should announce their presence and request cooperation. -Processing of personally identifiable data should require informed consent -All data should be made anonymous -Take steps to ensure that no harm is done
  • 10. Quantitative Social Media Research Monitoring and Tracking -Social media monitoring is one of the most popular approaches to social media research -It works with the aid of software that searches keywords and crawls the web for information (eg. Google) -Monitoring explains what was said, when, by whom, and how many times -Researchers collect this information and then set up a research design so that their hypotheses can be tested out properly
  • 11. Quantitative Social Media Research Sentiment Analysis -A sentiment refers to how people think of feel about an object such as a brand or a political candidate -Collecting and analyzing sentiment data can provide an alternative to attitudinal surveys of consumers if people are talking about what you need to know in social spaces -It is sometimes called “opinion mining”, which means to analyze the content to determine the attitude of the writer -When people feel a certain way they are likely to choose certain words that tend to relate to an emotion. From these words, the researcher will create a “word-phrase dictionary” to code the date
  • 12. Quantitative Social Media Research Content Analysis -An analysis approach used to identify the presence of concepts and themes within qualitative data sets -For example, a researcher might test a hypothesis that TV commercials reinforce traditional sex-role attitudes by sampling a large number of ads that aired during a certain period of time and comparing the occupations that male versus female actors portrayed -To conduct a content analysis, the text is broken down into categories--word, word sense, phrase, sentence, and theme--and then examined further for interpretation
  • 13. Caution! Errors and Biases Every study has a certain amount of error that cannot be precisely specified - Researches goal is to minimize - Coverage Error - Sampling Error - Nonresponse Bias
  • 14. Coverage Error 1st source of potential error - Failure to cover components of population - Tweets are largely public content - Fail to specify places people hang out - GameTalk forum not included as a group
  • 15. Sampling Error Result of collecting data from only a subset - Heightens chance of results being wrong - Example: Sampled female gamers in 50s Two situations causes concerns - Echo Effect - Participation Effect
  • 16. Echo Effect and Participation Effect Echo Effect AKA → Online Echo: refers to the duplication in conversation volume that tends to occur in social media spaces Example: Twitter - How should retweets and reposts be counted in a study? - How should researchers handle these issues in the collection of data?
  • 17. Nonresponse Bias The potential that those units that were not included in the final sample are significantly different from those that were - People who are willing to take a 30 minute phone survey may differ from those that don’t Why are we concerned? - Specified population based on communities customers are likely to use - Ultimate Interest = attitude and behaviors of peoples, not sites
  • 18. Sampling Weights Issues can be managed after data collected using → Sampling Weights: adjustment factors applied to adjust for differences in probability of selection between cases in a sample - Example: Less than 9% Internet users are Twitter users but generates up to 60% of SM monitoring tool monitor To get a more accurate picture → Sample relatively fewer tweets than other kind of posts
  • 19. Sample of Social Media Monitoring Providers - Radian 6 - Broad coverage of SM channels - http://www.youtube.com/watch?v=8i6Exg3Urg0&list =PLC252F7845BE744AE&index=7 - ScoutLabs - Affordable = $250/Month - Sysomos - NetBase
  • 20. Example of Primary Research Firefly MB - global qualitative research company - Paritpants → 15 countires - message boards, Facebook, Twitter and Craigslist
  • 21. Case Study: Dove Real Beauty http://www.youtube.com/watch?v=r79Q6gAQ hao
  • 22. Group Activity Now it’s YOUR turn! 1. Come up with a campaign that would impact people’s lives. You can include a pre-existing brand if you would like. 2. Who is your target audience? 3. What social media would you use to promote the campaign?