Preface |
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ix | |
Part 1 Foundations Of Data-Driven Insights |
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Chapter 1 An Era of Artificial Intelligence |
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1 | (23) |
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1 | (1) |
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Adjustments in Public Relations, Marketing, and Advertising |
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2 | (1) |
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3 | (1) |
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Social Insights Across an Enterprise-What Users Want |
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4 | (1) |
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Exploring the Interdependence of Four Fundamental Technologies |
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4 | (5) |
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Serving Up What Customers Want, Even if They Don't Realize They Want It |
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9 | (2) |
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Smarter and More Strategic with Artificial Intelligence |
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11 | (2) |
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Nike Innovation Driven by Algorithms |
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13 | (1) |
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14 | (6) |
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20 | (4) |
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Chapter 2 LUPE Model-Developing Data-Driven Campaigns |
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24 | (9) |
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Plan First, and Then Measure |
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24 | (7) |
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The Importance of Creating an Executable Plan |
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31 | (2) |
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Chapter 3 Anything Can Be Measured; Measure What Counts |
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33 | (11) |
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33 | (2) |
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35 | (2) |
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Foundational Measurement Frameworks |
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37 | (5) |
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The Reality of Measurement |
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42 | (2) |
Part 2 Case Studies |
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Chapter 4 Convergence of Social Media, Search, and Content Marketing |
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44 | (31) |
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44 | (6) |
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50 | (2) |
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Content Marketing Triangle |
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52 | (1) |
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Use an Optimization Framework that Intrinsically Links Search and Social |
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53 | (6) |
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59 | (1) |
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60 | (12) |
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72 | (3) |
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Chapter 5 Data-Driven Influencer Strategy |
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75 | (29) |
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Influence in a Data-Driven World |
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75 | (1) |
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Laying the Foundation: Types of Influencers |
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76 | (1) |
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Using Social Media Analytics to Understand Buyer Behavior |
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77 | (1) |
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78 | (2) |
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80 | (1) |
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Social Insights Across an Enterprise |
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81 | (2) |
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Key Steps to Collect Insights |
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83 | (1) |
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Applying Business Insights from Social Intelligence |
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83 | (3) |
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Influencer Identification and Their Potential to Influence |
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86 | (1) |
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Influence-It's Complicated |
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87 | (1) |
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Regulatory Issues for Marketers |
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87 | (14) |
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101 | (3) |
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Chapter 6 Creating Compelling Content through Visual Storytelling |
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104 | (23) |
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104 | (1) |
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Components of Visual Storytelling |
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105 | (4) |
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Data Visualization: Turning Insights into Visual Stories |
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109 | (1) |
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Focus on Strategy: Incorporating Visuals to Complement the Narrative |
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110 | (3) |
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Developing a Content Strategy |
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113 | (10) |
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123 | (4) |
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Chapter 7 Corporate Social Responsibility and Corporate Activism |
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127 | (14) |
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127 | (3) |
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A New Generation of Consumers |
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130 | (8) |
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138 | (3) |
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Chapter 8 Engagement through Crowdsourcing and User-Generated Content |
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141 | (22) |
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141 | (1) |
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Crowdsourcing Drives Efficiency and Customer Engagement |
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142 | (1) |
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Crowdsourcing Debuts in the English Lexicon |
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142 | (1) |
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UGC and Crowdsourcing Working Together |
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143 | (1) |
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Pioneering Brands Tapping into Crowdsourcing and UGC |
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144 | (17) |
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161 | (2) |
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Chapter 9 Social Customer Experience (CX) |
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163 | (23) |
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The Role Social Media Has in Customer Experiences |
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163 | (2) |
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Social Customer Care Training |
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165 | (6) |
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Measuring Social Media in the Contact Center |
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171 | (1) |
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Unified Customer Experience |
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172 | (1) |
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172 | (10) |
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182 | (4) |
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Chapter 10 Crisis Communications in a Data-Driven World |
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186 | (18) |
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Modern-Day Crisis Communication Planning |
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186 | (4) |
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Anticipating Crisis with Analytics |
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190 | (11) |
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201 | (3) |
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Chapter 11 Geofencing and Hypertargeting Strategies |
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204 | (11) |
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Hyperconnected Lifestyles |
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204 | (1) |
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Location-Based Mobile Apps |
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205 | (1) |
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A Hyperconnected Workforce |
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206 | (6) |
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212 | (3) |
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Chapter 12 Future Implications of Data-Driven Decisions |
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215 | (24) |
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215 | (8) |
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Data-Driven Discussions: Professionals Sharing Insights |
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223 | (11) |
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234 | (5) |
Glossary |
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239 | (5) |
Index |
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244 | |