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Clarabridge Enterprise Overview Systematically Transforming Feedback into Customer Experience Intelligence
The World’s Largest Companies Rely on Clarabridge for Enablement of Their Customer Experience Management (CEM) programs   Clarabridge Enterprise sets the standard: BUILT FOR CEM QUICK TO DEPLOY ENTERPRISE CLASS
About Clarabridge Inc. HQ in Reston, VA; Over 100 Employees  100% focused on CEM Provider of Market Leading       4th Generation Text Mining CEM Software Enterprise Standard Across Many Global 1000 Companies
Choice Hotels Case Study Choice Hotels International, Inc. (NYSE: CHH) franchises more than 6,000 hotels, representing more than 485,000 rooms, in the United States and more than 35 other countries and territories.
The Problem “We get a lot of unstructured feedback from our guests, and increasingly we saw the need for detailed analytics in order to make sense of all of it.”   Mark Weiner, VP Customer Care and Reservations Millions of pieces of VOC per year Call center notes, emails, surveys, reviews online Manually analyzing feedback Inaccurate and not scalable Limited analysis and limited details Root causes unattainable
Sources Solicited Guest Satisfaction Surveys Guest Relations Contact Center Emails Customer 2 Business Unsolicited TripAdvisor Reviews Social Media:Forums, Blogs, News Customer 2Customer
Manual Distribution Manual Distribution Manual Analysis Manual Analysis Siloed Analysis Solicited Customer 2 Business Unsolicited Customer 2Customer
The Impact of the Problem VOC data remains unused Limited ability to provide actionable feedback for poor performing properties Inefficient process for addressing corporate and GM/owner questions and concerns Limited ability to impact LTR/ADR
Customer Experience Management Customer Experience Executive/Team ORGANIZE Clarabridge Systematically Enables the CEM Process
Systematic Infrastructure Enterprise Clarabridge Enterprise Deliver Transform Collect Qualitative Solicited Quantitative Customer 2 Business Unsolicited Internal 2 Internal Ad-Hoc Uploader Customer 2Customer
Making Sense of it All Linguistic Processing Auto-categorization Machine Learning Advanced sentiment scoring Reporting and analysis
The Results: Real ROI, Guest andFranchisee Value So far… Lower AHT by 30% in Guest Relations Call avoidance  6% reduction in calls from owners/operators 5% reduction in calls from guests 80% reduction of manual analysis Increased “Likelihood to Recommend” = increased “Average Daily Rate” by 1.7% for worst performing properties Accurate data = the right business decisions
Keep Up With Your Customer’s Voice The Benefits of a Systematic Infrastructure:  Eliminate manual coding efforts Dramatic increases in contextual insights and actions  Enable CEM competency  Daily quantification of qualitative feedback  Continuous analysis Real time alerting on emerging issues True customer perspective analysis Immediate new and historical analysis and more…

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Clarabridge Enterprise Overview: Systematically Transforming Feedback

  • 1. Clarabridge Enterprise Overview Systematically Transforming Feedback into Customer Experience Intelligence
  • 2. The World’s Largest Companies Rely on Clarabridge for Enablement of Their Customer Experience Management (CEM) programs Clarabridge Enterprise sets the standard: BUILT FOR CEM QUICK TO DEPLOY ENTERPRISE CLASS
  • 3. About Clarabridge Inc. HQ in Reston, VA; Over 100 Employees 100% focused on CEM Provider of Market Leading 4th Generation Text Mining CEM Software Enterprise Standard Across Many Global 1000 Companies
  • 4. Choice Hotels Case Study Choice Hotels International, Inc. (NYSE: CHH) franchises more than 6,000 hotels, representing more than 485,000 rooms, in the United States and more than 35 other countries and territories.
  • 5. The Problem “We get a lot of unstructured feedback from our guests, and increasingly we saw the need for detailed analytics in order to make sense of all of it.” Mark Weiner, VP Customer Care and Reservations Millions of pieces of VOC per year Call center notes, emails, surveys, reviews online Manually analyzing feedback Inaccurate and not scalable Limited analysis and limited details Root causes unattainable
  • 6. Sources Solicited Guest Satisfaction Surveys Guest Relations Contact Center Emails Customer 2 Business Unsolicited TripAdvisor Reviews Social Media:Forums, Blogs, News Customer 2Customer
  • 7. Manual Distribution Manual Distribution Manual Analysis Manual Analysis Siloed Analysis Solicited Customer 2 Business Unsolicited Customer 2Customer
  • 8. The Impact of the Problem VOC data remains unused Limited ability to provide actionable feedback for poor performing properties Inefficient process for addressing corporate and GM/owner questions and concerns Limited ability to impact LTR/ADR
  • 9. Customer Experience Management Customer Experience Executive/Team ORGANIZE Clarabridge Systematically Enables the CEM Process
  • 10. Systematic Infrastructure Enterprise Clarabridge Enterprise Deliver Transform Collect Qualitative Solicited Quantitative Customer 2 Business Unsolicited Internal 2 Internal Ad-Hoc Uploader Customer 2Customer
  • 11. Making Sense of it All Linguistic Processing Auto-categorization Machine Learning Advanced sentiment scoring Reporting and analysis
  • 12. The Results: Real ROI, Guest andFranchisee Value So far… Lower AHT by 30% in Guest Relations Call avoidance 6% reduction in calls from owners/operators 5% reduction in calls from guests 80% reduction of manual analysis Increased “Likelihood to Recommend” = increased “Average Daily Rate” by 1.7% for worst performing properties Accurate data = the right business decisions
  • 13. Keep Up With Your Customer’s Voice The Benefits of a Systematic Infrastructure: Eliminate manual coding efforts Dramatic increases in contextual insights and actions Enable CEM competency Daily quantification of qualitative feedback Continuous analysis Real time alerting on emerging issues True customer perspective analysis Immediate new and historical analysis and more…

Hinweis der Redaktion

  1. 1st party: employee sat surveys – United & Best Buy2nd party: bulk of our work. 10s of millions of inbound calls3rd party: Manual – lack of consistency across data (different category models)Admin console – automatically schedules to pull the data into the system, does the NLP (verbs, nouns, adjectives, companies)Why do customers turn to text analytics?First, automation… Sentiment – pleased with Adobe, upset with Apple (sophisticated sentiment, not a simple word count, negation, hypothetical, etc – only detected through NLP) …Second, Value… Microsoft MVP (most valuable professional program – 4,000 mvp’s).ROI – not providing software to provide software, we’re driving value: cutting costs, increasing value