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Data Driven Customer Engagement
Brain Storm
Fabio Castronuovo @fcastro72
Smarter Engagement Milan
9 April 2015
Engagement why?
“The last step is understanding that
every customer just wants to be
happy. “*
* Paul Greenberg
And you…… Why do you want to engage with your customers?
Age of data!
1990
The Media Age
2000
The Digital Age
2011
The Social Age
2013
Big Data Age
New culture
The call centre is dying
One in three social media users prefer social care to
contacting the company by phone.
Source: Nielsen, 2012
Boundaries. Why boundaries?
Experts and fans are everywhere!
Outperforming enterprises intensively collaborate
with customers (60% versus 39% of underperformers).
Source: IBM C-Suite Study 2014
Trust is the capital of modern enterprise.
Employees and customers control this capital.
Increasingly, people trust employees and customers over corporations.
- A person like yourself: 47% in 2009 - 62% in 2014 (+15%)
- Regular employee: 32% in 2009 - 52% in 2014 (+20%)
Source: IBM C-Suite Study 2014
1990 : Age of media
TV
Interviste
Telefoniche
Focus
Groups
Warranty
Vendita
Billing Data
Radio
Stampa
Cartelloni
stica
Mail
WOM
Call
Centers
Fax/Emails
2000 : The digital Age
TV
Warranty
Vendita
Billing Data
Radio
Stampa
Cartelloni
stica
Mail
WOM
Search
Online
Ads Clicks
Page
Views
Sessions Register Optin
Interviste
Telefoniche
Focus
Groups
Call
Centers
Fax/Emails
Chat / Cobrowsing
2015 : Social & Mobile Age
TV
Warranty
Vendita
Billing Data
Radio
Stampa
Cartellonistica
Mail
WOM
Search
Online
Ads Clicks
Page
Views
Sessions Register Optin
Social Media
Blog Posts Recensioni Share UGC Tweet
Like Fan Retweet Favourites Comment Mentions
Interviste
Telefoniche
Focus
Groups
Call
Centers
Fax/Emails
Chat / Cobrowsing
WebListening
Digital & Social
CRM
Main Themes in CRM / Marketing / Hr
Customer
integrated view
Predictive
Routing
Knowledge
Management
& Self Service
SCRM
Advocates /
Influencer
Discovery
Predictive
Analytics
Machine
Learning
Customer
Insights
Gamification
Employee
Branding
Talent
Scouting
Use Cases Examples
Involve subject matter experts in the extended organisation
in order to offer faster and better customer service
Resolve customer requests through social media in order to
improve customer satisfaction and brand affinity
Gamify processes and reward customers and employee in
order to incentivise behaviours, such as content creation,
open collaboration or sharing
Enrich & Unify customer profiles in order to
improve customer knowledge
Domande
1. State lavorando su qualcuno di questi temi per sviluppare degli
use cases?
2. Quali sono i problemi che volete risolvere attraverso
l’implementazione?
3. Quali sono i KPI che misurano il successo?
4. Quali sono i dati critici?
5. Ci sono tematiche di sicurezza e legali che non vi fanno dormire?
6. C’è sinergia fra i vari dipartimenti per creare una UX uniforme?
7. I dipartimenti IT riescono a soddisfare la richiesta di agilità e
velocità?
8. Avete in casa gli skill necessari per le sfide della data science?
9. Gli strumenti tecnologici a supporto sono adeguati?
10.La cultura aziendale supporta l’innovazione necessaria?
Remember

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Smarter Use Cases

  • 1. Data Driven Customer Engagement Brain Storm Fabio Castronuovo @fcastro72 Smarter Engagement Milan 9 April 2015
  • 2. Engagement why? “The last step is understanding that every customer just wants to be happy. “* * Paul Greenberg And you…… Why do you want to engage with your customers?
  • 3. Age of data! 1990 The Media Age 2000 The Digital Age 2011 The Social Age 2013 Big Data Age
  • 4. New culture The call centre is dying One in three social media users prefer social care to contacting the company by phone. Source: Nielsen, 2012 Boundaries. Why boundaries? Experts and fans are everywhere! Outperforming enterprises intensively collaborate with customers (60% versus 39% of underperformers). Source: IBM C-Suite Study 2014 Trust is the capital of modern enterprise. Employees and customers control this capital. Increasingly, people trust employees and customers over corporations. - A person like yourself: 47% in 2009 - 62% in 2014 (+15%) - Regular employee: 32% in 2009 - 52% in 2014 (+20%) Source: IBM C-Suite Study 2014
  • 5. 1990 : Age of media TV Interviste Telefoniche Focus Groups Warranty Vendita Billing Data Radio Stampa Cartelloni stica Mail WOM Call Centers Fax/Emails
  • 6. 2000 : The digital Age TV Warranty Vendita Billing Data Radio Stampa Cartelloni stica Mail WOM Search Online Ads Clicks Page Views Sessions Register Optin Interviste Telefoniche Focus Groups Call Centers Fax/Emails Chat / Cobrowsing
  • 7. 2015 : Social & Mobile Age TV Warranty Vendita Billing Data Radio Stampa Cartellonistica Mail WOM Search Online Ads Clicks Page Views Sessions Register Optin Social Media Blog Posts Recensioni Share UGC Tweet Like Fan Retweet Favourites Comment Mentions Interviste Telefoniche Focus Groups Call Centers Fax/Emails Chat / Cobrowsing WebListening Digital & Social CRM
  • 8. Main Themes in CRM / Marketing / Hr Customer integrated view Predictive Routing Knowledge Management & Self Service SCRM Advocates / Influencer Discovery Predictive Analytics Machine Learning Customer Insights Gamification Employee Branding Talent Scouting
  • 9. Use Cases Examples Involve subject matter experts in the extended organisation in order to offer faster and better customer service Resolve customer requests through social media in order to improve customer satisfaction and brand affinity Gamify processes and reward customers and employee in order to incentivise behaviours, such as content creation, open collaboration or sharing Enrich & Unify customer profiles in order to improve customer knowledge
  • 10. Domande 1. State lavorando su qualcuno di questi temi per sviluppare degli use cases? 2. Quali sono i problemi che volete risolvere attraverso l’implementazione? 3. Quali sono i KPI che misurano il successo? 4. Quali sono i dati critici? 5. Ci sono tematiche di sicurezza e legali che non vi fanno dormire? 6. C’è sinergia fra i vari dipartimenti per creare una UX uniforme? 7. I dipartimenti IT riescono a soddisfare la richiesta di agilità e velocità? 8. Avete in casa gli skill necessari per le sfide della data science? 9. Gli strumenti tecnologici a supporto sono adeguati? 10.La cultura aziendale supporta l’innovazione necessaria?