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Page 1: Building the Business Case for Text Analytics

Drive Business Gain through Social Media Analytics

Angela Hausman,

Associate Professor of Marketing, Howard UniversityCEO, Hausman & Associates, LLC.

Mark EduljeeConsumer Support Services Insights

12th Annual Text Analytics Summit West December 3-4 2013, San Francisco, CA

Page 2: Building the Business Case for Text Analytics

• Social Media data & predictive analytics• Assessing Brand perception using Social• Customer experience impact opportunity • Applying Insights for effect

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Hausman and Associates

• 2.2 X better ROI• DATA• 80% unstructured and 3

Vs• 20% growth• 1.6X 1021

• 60% MORE analytics skills• Assumptions?????

Data river

Page 4: Building the Business Case for Text Analytics

Which stage are YOU in?

Page 5: Building the Business Case for Text Analytics

Hausman and Associates

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Hausman and Associates

CONVERSIONKPI’S

SALES FUNNELCUSTOMER SATENGAGEMENT

SENTIMENT

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Use Case: Disney

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Predictive Analytics

Y= ƒ (Xi, ßi)• Behavior= Attitudes, Social Norms• CLV• Tech Acceptance = Perceived Usefulness, Perceived Ease of Use• Events = Community Engagement, Performer, Venue, Location• Segmentation• Forecasting

Hausman and Associates

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Use Case: Hybrid Channels

Product Return P

Immediacy

Anticipated Challenges

SearchResults

GeographyHybrid use

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Listening Tools

nVIVOHyperRESEARCHSPSS text analysis software

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• Customer experience impact • Applying Insights for effect

Mark EduljeeConsumer Support Services Insights

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“Drowning in data, starving for insights”

“The problem is not the data. It’s the compelling need for context and actionable insights.”

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The Everything approach:• Analyze everything• Everything is equally important• Success = acting on everything

Everything for everyone, and nothing for anyone

Analytics overreach and complexity:

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The problem with everything

Ask the right questions

• Expensive• Frustrating• Does not scale• Activity instead of action

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nothing7 Principles for useful Analysis

1. Begin from the end (what is the need)2. Tools are not a strategy (likes and followers – So what?)3. All data is not equal (telemetry, support, experience)4. When is enough, enough? (confidence)5. Why measure and analyze? (accountability)6. Get clear about “Social”: What, who, when?7. What is the priority: 4 Social Media Data uses

1. Marketing2. Communication3. Engagement4. Insights

All-or-

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Social Media data impact opportunity

1. Global2. Always on3. Always relevant4. Short life, long memory

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SM analytics strategy

1. Needs vs wants 2. Realistic expectations3. Sponsorship, stakeholders 4. Operations, tools, dashboards

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Pulling it together

Begin with the endTools are not a strategyBuild a framework Watch your A’sOngoing maintenance

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@MarketingLetterhttp://hausmanmarketingletter.comhttp://LinkedIn.com/in/angelahausman@MarketingLetter

Mark Eduljee on LinkedInMarkeduljee.com -- Blog


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