social media and the analytics opportunity frank cotignola (@fco24) march 13, 2013

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Social Media and the Analytics Opportunity Frank Cotignola (@fco24) March 13, 2013

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Social Media and the Analytics Opportunity

Frank Cotignola (@fco24)March 13, 2013

Agenda

• Data mining for social sites• Social media listening (platforms, text

analytics/sentiment analysis)• Social media data as big data component

“The same digital and social data that are revolutionizing ad targeting and relationship building offer us researchers the opportunity of a lifetime.

It is the chance to make the bemoaning go away…

that we are too slow, that our findings aren’t actionable, and that we are genetically modified versions of accountants who don’t get what the business is about.”

Joel Rubinson

http://goo.gl/yxUES

Data mining for social sites

What is “social media listening?”

Understanding Consumers Via:

1. Social Media Conversations

2. Search Behavior

3. Integration With Other Data

How can this uncover opportunities?

By going beyond brands and typical dig sites

Can we understand consumer needs without asking consumers?

“Pick me up” eating occasions

Energy drinks describe “pick me up” and “wake me up” (and negatively)

Time of day also important

99,510 mentions

68,340 mentions

423,750 mentions

4,223,452 Mentions

NetBase December 18, 2012

Mentions Likes/Dislikes

Taste is polarizing

NetBase December 18, 2012

Likes Dislikes

Facebook and Twitter far outweigh other domains people are using to talk about “Pick Me Up”

1426668; 53%

919603; 34%

65555; 2%

50275; 2%

37661; 1%

35653; 1%

32777; 1%

28073; 1%

22770; 1%

21392; 1% 17317; 1% 16029; 1%

15130; 1%

14561; 1%

13212; 0%

Top 10 Domains

facebook.com

twitter.com

community.babycenter.com

weightwatchers.com

forum.bodybuilding.com

gaiaonline.com

community.thebump.com

reddit.com

blurty.com

myfitnesspal.com

tripadvisor.com

cafemom.com

answers.yahoo.com

formspring.me

anddev.org

NetBase December 18, 2012

Twitter

FB

Conversations are morning/food dominated

NetBase December 18, 2012

Hashtags/what to solve?

Social Media Listening (Platforms, Text Analytics, Sentiment Analysis)

What is your goal?

Tracking?

Insights?

Brand Reputation?

BI?Because We’re Supposed To?

Managed Internally?Use Agency?

Mentions?

Sentiment?

Measure Influence?

Different goals require different

solutions

Things to consider

• Interested in tracking mentions, sentiment, engagement, etc., most large services work well– Cost, deployment a consideration– Free tools?

• If true BI and insights are your goal, you need to go beyond mentions and sentiment

• How to integrate with more traditional insights?

• Starting or ending point?

20

Barriers

Not What I’m Used To

No Time

Too Much to Read

Not My Consumers

Missing Demographics

Not Representative

Flavors

What Flavors are being talked about?

Source: Tracx 30 days ending 2-19-13

Mint

Blogs dominate flavor conversations

Source: Tracx 30 days ending 2-19-13

Mint also dominates search

Source: Google Trends Through 2-19-13

Sentiment mostly neutral, although some strong negatives/positives

Source: Tracx 30 days ending 2-19-13

Focus on Parmesan, Basil conversationsingredient, cooking focus

Source: Tracx 30 days ending 2-19-13

Social media as big data

component

The “Big Data” RealityWe still live in a world of small data

• Use of tools hasn’t caught up to the promise (world of Excel)

• Can’t put my finger on all the data we have– Big data confused with knowledge management

• What are the common elements?• How do we integrate?• “How is this different from what I am

doing already?”

What’s typically done:Overlay conversations onto sales data

Does this tell us anything?

Net Sentiment

# Of Comments

Source: NetBase

Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12

Brand A Dollar Sales 2011-2012

What’s possible

http://goo.gl/hIrTs

http://www.sickweather.com/

Forecasting the Economy

“Destroy”Positive vs. negative behaviors about the economy

Source: NetBase 52 Weeks Ending September 1, 2012

Sentiment about the economy grew more positive in Q4 (but still overall negative)

Top Sources of Buzz

34Source: NetBase January 3, 2013,

“Strong” and “Weak” dominated (but not “destroyed”)

Source: NetBase January 3, 2013, 35

“Government” dominates (expected after election) but still focus on “jobs” and “taxes”

36Source: NetBase January 3, 2013,

IN THE END…

• Social Media Can Provide Insights on Its Own

• It Can Also Enhance “Asking” Research

Thank you!

Frank [email protected]

Hed

Text• Bullets• If• Needed