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‘Emotion Aware’ Twitter Customer Care Monitoring
confidential
When companies today try to meet their
customers where they live, they increasingly
find that it is on social media.
Now that such sites are an integral part of the
culture, using them for customer care is moving
from cutting-edge concept to business necessity
Knowledge@wharton
 Analytics Today is Complex &
Overwhelming
 NO easy way to Understand
Conversations
 It’s difficult to identify & get
the right insights
The Problem
• Varied moods & feelings
Expressed
• Noisy signals
• Can’t manually sift & gauge
• Customer experiences ,
response & complaints
• Sheer Volume of
conversations growing by day
Why was flight pp1xx2 so ridiculously hot It was brutal Severe baggage delay nearly ruined the wedding Didn't think we'd have to wait quite so
long.
I just want to be sure that I wont need visa for the hour that I will be there. my email is xxxx
WOW so weird that you aren't able to help Thanks once again for nothing
I'm especially partial to the cookie, but the sandwich I got on my flight was excellent as well
With tons of messages, How will you ever know what your customers are saying and get a
grip of the situation ?
Sorry fix your boarding & security process in Panama. I am polite when I say it was messy.
Customers
on Twitter
confidential
Customer care on Twitter today is a nightmare
for many due to lack of insights and there are no
effective ways to know what the customers are
saying...
With raising expectations, When you Fall Short of
your services, Your business is negatively impacted
Customer Commitment, Satisfaction, loyalty and
Value are put to risk
‘Publicly available feedback’ of issues may create negative
perceptions with the masses. This can raise the risk of
your brand reputation.
confidential
confidential
TEXTIENT Analytics is Emotion Aware, Effective,
Simpler and Easier
Sad,Angry,Disgust
Anticipation
(Neg/Pos)
Surprise, Joy
TEXTIENT Customer Care monitoring for Twitter
User Interactions on your ‘Twitter Care Handle’ are semantically interpreted to
detect critical information and recognize ‘EMOTIONS’ that help gauge the
conversations, draw conclusions and drive sharper business decisions.
Insights , Dashboard Analytics
Data Analysis & Scheduled Reports
Intelligent Emotions detection (+)/(-)
Intelligent Tone Analysis (+)/(-) &
Filtering
Twitter message stream monitoring
confidential
Emotion Possible cause, reasons Remarks
Anger Frustrations when things doesn't work as intended ,Disappointments, Inability
to contact, long waits, delays, losing something, changes in a service, Bad
service, No refunds (stronger correlation to complaints and negative word of
mouth)
Issues may be severe or may indicate
escalation. Characterised by feelings
similar to sadness cited below.
Dissatisfaction usually precedes anger
Disgust Long waits and Delays , losing something, Changes to or No service
availability, Bad service, Poor product quality or service experience , Bad
encounters, Communication gaps
Stronger form of Emotion expressed. Issues
may be severe or may indicate escalation.
Characterised by feelings similar to sadness
cited below.
Sadness Bad service , Delays, Issues not yet fixed, Perception about a product [e.g.
price] /Service, things not working, Communication problems
characterized by feelings of disadvantage,
loss, despair, helplessness and sorrow
Anticipation (Neg) Seeking attention , Hoping for a resolution, Conveying an expectation,
Something getting moved in future, Awaiting a response, presentiment
Expressed in a Negative tone
Surprise (Neg) An unexpected issue or fact , Things that didn’t work with all/every possible
try, some thing unexpected ,causing shock
Characterised by feelings of /similar
to dumbfound, daze, benumb, confound,
take aback, jolt, shake up etc.
Joy
Anticipation(Pos) Similar to Pos. Anticipation, But expressed in a positive tone Expressed in a positive/diplomatic/
harmless tone
Surprise (Pos) Similar to Neg. surprise, But expressed in a positive tone
Trust NA believe in the reliability, truth, or ability of.
* Universal and Blended emotions
confidential
• Detect Customer complaints and responses by Negative & Positive Emotional Indicators
• Advanced Emotion indicators - ‘Negative-Anticipation’
• e.g. Please answer my DM, it is really urgent -(
• Performs in-depth Analysis & Filtering
• Intelligently classified ‘RAG Status’ (severity)
• Regularly Delivered as Simple Excel reports– Email , Web . 90 days Archive
Automated Twitter monitoring,
Analysis & Reports
• Dashboard for Quick insights
• Powerful metrics for Decision making
• Visualisation of trends through simple Charts
• Transparent & organised ‘analysis data’
Powerful Analytics &
Visualisation
• Delivered as a Cloud service on the Web
• 3 steps to get started
Cloud based Self Service
• SaaS & Dedicated Cloud service for Single & Multiple Twitter sites
• Flexible Scheduled Analysis & Reports, Custom mining & Big (twitter) data solutions
• Master control/MSP module for Digital Agencies
• White Label engagement
Deployment models
Monitor Measure Analyse Decide
confidential
TEXTIENT
Monitors &
Analyses
tweets
+
-
TEXTIENT
Smart
Filtering
Joy
Surprise
Anticipation
Sadness Anger Disgust
Fear Anticipation
Surprise
Trust
Detect & Recognize Emotions in
Communications *
Users complain,
respond on your
Twitter Customer
care pages
• User Twitter Handle , Message date & time , Message Frequency, User Geo-location
Excel reports - Dashboard & Analytics via Email & Web
* Primary Emotions : Angry,Sad,Disgust,Fear,Surprise,Joy,Trust
* Blended Emotions : Positive & Negative Anticipation, Positive & Negative Surprise
Issues Assessments, Segmentation, RAG Severity, Sorting and Charts
Twitter Customer Care Monitoring – Visualisation of Critical data
Customer moods, Issues & Severity scales, Trends, Insights & Reasons
e.g. Emotion (Index) Chart Quickly points to the possible nature, scales and severity of the
situation
confidential
Quickly Gauge & understand the nature of problems voiced, identify dissatisfied customers for remediation.
• Helps you to prioritise and act fast
• Helps sustain satisfaction and improve trust and loyalty
Strike better relationships with the individual customers as you can understand their concerns and issues at a granular level !
Positive Emotions and related Analytics can help discover instances of satisfaction & trust . Leverage this for Revenue driving
opportunities.
Helps identify and remediate the gaps in your Customer service operations to deliver better results and provide more powerful
consumer experiences.
Managed Cloud based Self service greatly lowers in-house IT deployments and complexity
Master control/MSP model for Digital agencies can help augment their Consulting & Services value adds.
Flexible, Scalable & Cost effective delivery models for all sizes of companies to get started quickly.
confidential
Users Sign up
on the TEXTIENT
Site and Add
their Twitter
Page *, Access
Dashboard
Monitors
Customer
responses and
Complaints
(Daily time
Scheduled)
Performs
Intelligent *
Emotion aware
Analysis
(Human Emotion
Aware)
Creates Powerful
& Easy to
understand
Analytics as
Excel Reports
Daily, Multiple
Email reports to
users/Made
available on the
Web
Reports are
Archived on the
Cloud for 90
days, Web
access
Cloud Service - 3 Simple steps to Get started
Confidential confidential
www.textient.com
What is on the Works ?
• Intelligent Reason identification
• Anomaly detection & Alerts
• Predictive Analytics
• Facebook , G+, Email Channels

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TEXTIENT - Twitter Customer care Monitoring

  • 1. ‘Emotion Aware’ Twitter Customer Care Monitoring confidential
  • 2. When companies today try to meet their customers where they live, they increasingly find that it is on social media. Now that such sites are an integral part of the culture, using them for customer care is moving from cutting-edge concept to business necessity Knowledge@wharton
  • 3.  Analytics Today is Complex & Overwhelming  NO easy way to Understand Conversations  It’s difficult to identify & get the right insights The Problem • Varied moods & feelings Expressed • Noisy signals • Can’t manually sift & gauge • Customer experiences , response & complaints • Sheer Volume of conversations growing by day Why was flight pp1xx2 so ridiculously hot It was brutal Severe baggage delay nearly ruined the wedding Didn't think we'd have to wait quite so long. I just want to be sure that I wont need visa for the hour that I will be there. my email is xxxx WOW so weird that you aren't able to help Thanks once again for nothing I'm especially partial to the cookie, but the sandwich I got on my flight was excellent as well With tons of messages, How will you ever know what your customers are saying and get a grip of the situation ? Sorry fix your boarding & security process in Panama. I am polite when I say it was messy. Customers on Twitter confidential
  • 4. Customer care on Twitter today is a nightmare for many due to lack of insights and there are no effective ways to know what the customers are saying... With raising expectations, When you Fall Short of your services, Your business is negatively impacted Customer Commitment, Satisfaction, loyalty and Value are put to risk ‘Publicly available feedback’ of issues may create negative perceptions with the masses. This can raise the risk of your brand reputation. confidential
  • 6. TEXTIENT Analytics is Emotion Aware, Effective, Simpler and Easier Sad,Angry,Disgust Anticipation (Neg/Pos) Surprise, Joy TEXTIENT Customer Care monitoring for Twitter User Interactions on your ‘Twitter Care Handle’ are semantically interpreted to detect critical information and recognize ‘EMOTIONS’ that help gauge the conversations, draw conclusions and drive sharper business decisions. Insights , Dashboard Analytics Data Analysis & Scheduled Reports Intelligent Emotions detection (+)/(-) Intelligent Tone Analysis (+)/(-) & Filtering Twitter message stream monitoring confidential
  • 7. Emotion Possible cause, reasons Remarks Anger Frustrations when things doesn't work as intended ,Disappointments, Inability to contact, long waits, delays, losing something, changes in a service, Bad service, No refunds (stronger correlation to complaints and negative word of mouth) Issues may be severe or may indicate escalation. Characterised by feelings similar to sadness cited below. Dissatisfaction usually precedes anger Disgust Long waits and Delays , losing something, Changes to or No service availability, Bad service, Poor product quality or service experience , Bad encounters, Communication gaps Stronger form of Emotion expressed. Issues may be severe or may indicate escalation. Characterised by feelings similar to sadness cited below. Sadness Bad service , Delays, Issues not yet fixed, Perception about a product [e.g. price] /Service, things not working, Communication problems characterized by feelings of disadvantage, loss, despair, helplessness and sorrow Anticipation (Neg) Seeking attention , Hoping for a resolution, Conveying an expectation, Something getting moved in future, Awaiting a response, presentiment Expressed in a Negative tone Surprise (Neg) An unexpected issue or fact , Things that didn’t work with all/every possible try, some thing unexpected ,causing shock Characterised by feelings of /similar to dumbfound, daze, benumb, confound, take aback, jolt, shake up etc. Joy Anticipation(Pos) Similar to Pos. Anticipation, But expressed in a positive tone Expressed in a positive/diplomatic/ harmless tone Surprise (Pos) Similar to Neg. surprise, But expressed in a positive tone Trust NA believe in the reliability, truth, or ability of. * Universal and Blended emotions confidential
  • 8. • Detect Customer complaints and responses by Negative & Positive Emotional Indicators • Advanced Emotion indicators - ‘Negative-Anticipation’ • e.g. Please answer my DM, it is really urgent -( • Performs in-depth Analysis & Filtering • Intelligently classified ‘RAG Status’ (severity) • Regularly Delivered as Simple Excel reports– Email , Web . 90 days Archive Automated Twitter monitoring, Analysis & Reports • Dashboard for Quick insights • Powerful metrics for Decision making • Visualisation of trends through simple Charts • Transparent & organised ‘analysis data’ Powerful Analytics & Visualisation • Delivered as a Cloud service on the Web • 3 steps to get started Cloud based Self Service • SaaS & Dedicated Cloud service for Single & Multiple Twitter sites • Flexible Scheduled Analysis & Reports, Custom mining & Big (twitter) data solutions • Master control/MSP module for Digital Agencies • White Label engagement Deployment models Monitor Measure Analyse Decide confidential
  • 9. TEXTIENT Monitors & Analyses tweets + - TEXTIENT Smart Filtering Joy Surprise Anticipation Sadness Anger Disgust Fear Anticipation Surprise Trust Detect & Recognize Emotions in Communications * Users complain, respond on your Twitter Customer care pages • User Twitter Handle , Message date & time , Message Frequency, User Geo-location Excel reports - Dashboard & Analytics via Email & Web * Primary Emotions : Angry,Sad,Disgust,Fear,Surprise,Joy,Trust * Blended Emotions : Positive & Negative Anticipation, Positive & Negative Surprise Issues Assessments, Segmentation, RAG Severity, Sorting and Charts
  • 10. Twitter Customer Care Monitoring – Visualisation of Critical data Customer moods, Issues & Severity scales, Trends, Insights & Reasons e.g. Emotion (Index) Chart Quickly points to the possible nature, scales and severity of the situation confidential
  • 11. Quickly Gauge & understand the nature of problems voiced, identify dissatisfied customers for remediation. • Helps you to prioritise and act fast • Helps sustain satisfaction and improve trust and loyalty Strike better relationships with the individual customers as you can understand their concerns and issues at a granular level ! Positive Emotions and related Analytics can help discover instances of satisfaction & trust . Leverage this for Revenue driving opportunities. Helps identify and remediate the gaps in your Customer service operations to deliver better results and provide more powerful consumer experiences. Managed Cloud based Self service greatly lowers in-house IT deployments and complexity Master control/MSP model for Digital agencies can help augment their Consulting & Services value adds. Flexible, Scalable & Cost effective delivery models for all sizes of companies to get started quickly. confidential
  • 12. Users Sign up on the TEXTIENT Site and Add their Twitter Page *, Access Dashboard Monitors Customer responses and Complaints (Daily time Scheduled) Performs Intelligent * Emotion aware Analysis (Human Emotion Aware) Creates Powerful & Easy to understand Analytics as Excel Reports Daily, Multiple Email reports to users/Made available on the Web Reports are Archived on the Cloud for 90 days, Web access Cloud Service - 3 Simple steps to Get started Confidential confidential
  • 13. www.textient.com What is on the Works ? • Intelligent Reason identification • Anomaly detection & Alerts • Predictive Analytics • Facebook , G+, Email Channels

Notes de l'éditeur

  1. e.g. Emotion (Index) Chart Quickly points to the possible nature, scales and severity of the situation slide #9