Social Media Intelligence - NYUpages.stern.nyu.edu/~atakos/mmbdwpresentations/moe.pdf · Social...

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Social Media Intelligence Wendy W. Moe [email protected] www.wendymoe.com @wendymoe David A. Schweidel [email protected] www.dschweidel.com @dschweidel

Transcript of Social Media Intelligence - NYUpages.stern.nyu.edu/~atakos/mmbdwpresentations/moe.pdf · Social...

Page 1: Social Media Intelligence - NYUpages.stern.nyu.edu/~atakos/mmbdwpresentations/moe.pdf · Social Media Intelligence vs. Social Media Noise ... separately report venue -specific and

Social Media Intelligence

Wendy W. Moe [email protected]

www.wendymoe.com @wendymoe

David A. Schweidel [email protected]

www.dschweidel.com @dschweidel

Page 2: Social Media Intelligence - NYUpages.stern.nyu.edu/~atakos/mmbdwpresentations/moe.pdf · Social Media Intelligence vs. Social Media Noise ... separately report venue -specific and

• The challenge facing organizations

• Social Media Intelligence – Understand the science of opinion and the implications for

social media data and metrics – Measure what matters (not what’s easy to measure)

What is Social Media Intelligence?

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Building Social Media Intelligence

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WHAT?

WHERE?

WHO?

“Online Product Opinions: Incidence, Evaluation and Evolution,” Marketing Science, 2012, with David A. Schweidel

“The Value of Social Dynamics in Online Product Ratings Forums,” Journal of Marketing Research, 2011, with Michael Trusov

“Sentiment and Venue Choice in Social Media Posting Behavior,” under review at JMR, with David A. Schweidel

“Drivers of Social Media Rebroadcasting: Investigating the Role of Message Content and Influencers,” under review at JMR, with Yuchi Zhang and David A. Schweidel

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WHAT do we say?

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Social Media Posting Decisions

Opinion / Brand Evaluation

Do I post? What do I post?

Where do I post?

SentimentProduct

Attribute

Venue FormatDomain

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Rating Trends

Variance

Average

Activists

Post frequently Attracted by lack of consensus More negative Variance and volume make them more negative

Low Involvements

Post infrequently Deterred by lack of consensus More positive Variance and volume make them more positive

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Implications

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What should we do?

• If you’re listening, don’t over-react. The ratings environment does not necessarily reflect the opinions of the entire customer base

• “Listen to ALL the American people” – Encourage diversity of opinion – Monitor different venues / data sources

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WHERE do we post?

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Social Media Posting Decisions

Opinion / Brand Evaluation

Do I post? What do I post?

Where do I post?

SentimentProduct

Attribute

Venue FormatDomain

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What affects posted sentiment?

General Brand Impression (GBI)

Venue Venue-specific dynamics Message topic

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Does it Matter Where We Listen?

0%

20%

40%

60%

80%

100%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

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Observation Month

Blog

Forum

Microblog

Other

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Observation Month

Blog

Forum

Microblog

Aggregate

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From a sample of social media comments pertaining to an enterprise software brand (courtesy of Converseon)

Page 13: Social Media Intelligence - NYUpages.stern.nyu.edu/~atakos/mmbdwpresentations/moe.pdf · Social Media Intelligence vs. Social Media Noise ... separately report venue -specific and

Plus, sentiment metrics vary depending on topic

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GBI vs. Offline Survey • Potential for GBI as a lead

indicator

• Correlation with survey (t) – GBI = .376 – Avg sentiment =.008 – Blogs = .197 – Forums = -.231 – Microblogs = .394

• Correlation with survey (t-1)

– GBI = .881 – Avg sentiment = .169 – Blogs = .529 – Forums = .213 – Microblogs = .722

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Month of Overlap Period (t)

GBI in month t-1 Survey in month t

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GBI vs. Monthly Close of Stock Price

Mean Coeff % p-val <.05

Constant -68.09 0.16

S&P* 0.10 1

GBI(t) -16.43 0.01

GBI(t-1) 30.81 0.99

Adj R-sq .46

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Regressed brand’s stock price against GBI (controlling for market index). Across iterations…

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Social Media Intelligence vs. Social Media Noise

• Account for differences in social media sentiment across venues and across sub-topics

• Potential to use social media for market research – Adjusted measure (GBI) can serve as lead indicator

• At a minimum, dashboard metrics should disaggregate and

separately report venue-specific and topic-specific metrics

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Questions?

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Why Do People Post? Opinion Formation versus Opinion

Expression

• Opinion formation

– Pre vs. post purchase – Customer satisfaction and word-

of-mouth

• Opinion expression

– Opinion dynamics – Opinion polls and voter turnout

Pre-Purchase Evaluation

Purchase Decision and Product Experience

Post-Purchase Evaluation

Incidence Decision

Evaluation Decision

Posted Product Ratings

EXPE

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SELECTION EFFECT

ADJUSTMENT EFFECT

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Perils of Selective Listening

• Index of over/under-estimation of messages mentioning specific product attributes

Application Compatibility

Documentation/Support Price Ease of Installation

Brand Reputation

Blog only -27.73 20.06 18.72 -31.39 13.43

Forum only 81.71 -21.20 -6.32 74.03 -31.99

Microblog only -57.37 6.02 -7.50 -46.90 22.00

Blog+forum 34.25 -3.30 4.54 28.32 -12.29

Blog+microblog -44.08 12.32 4.26 -39.94 18.16

Forum+microblog 14.26 -8.00 -6.89 15.38 -5.81

Blog+forum+microblog 2.38 -.06 .35 2.15 -0.36

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