Enviar búsqueda
Cargar
Das Next Best Offer-Konzept
•
3 recomendaciones
•
3,682 vistas
SAS in Deutschland, Österreich und der Schweiz
Seguir
Empresariales
Denunciar
Compartir
Denunciar
Compartir
1 de 23
Recomendados
Big Data and the Next Best Offer
Big Data and the Next Best Offer
Michel Bruley
Transfer Learning and Fine-tuning Deep Neural Networks
Transfer Learning and Fine-tuning Deep Neural Networks
PyData
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
Prof Dr Mehmed ERDAS
Customer Churn Analysis and Prediction
Customer Churn Analysis and Prediction
SOUMIT KAR
Predicting Bank Customer Churn Using Classification
Predicting Bank Customer Churn Using Classification
Vishva Abeyrathne
BIG DATA and USE CASES
BIG DATA and USE CASES
Bhaskara Reddy Sannapureddy
KKN India ltd sale force performance evaluation by Ketan thakur
KKN India ltd sale force performance evaluation by Ketan thakur
Ketan Thakur
Market Research Assignment
Market Research Assignment
Darren Garman
Recomendados
Big Data and the Next Best Offer
Big Data and the Next Best Offer
Michel Bruley
Transfer Learning and Fine-tuning Deep Neural Networks
Transfer Learning and Fine-tuning Deep Neural Networks
PyData
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdas
Prof Dr Mehmed ERDAS
Customer Churn Analysis and Prediction
Customer Churn Analysis and Prediction
SOUMIT KAR
Predicting Bank Customer Churn Using Classification
Predicting Bank Customer Churn Using Classification
Vishva Abeyrathne
BIG DATA and USE CASES
BIG DATA and USE CASES
Bhaskara Reddy Sannapureddy
KKN India ltd sale force performance evaluation by Ketan thakur
KKN India ltd sale force performance evaluation by Ketan thakur
Ketan Thakur
Market Research Assignment
Market Research Assignment
Darren Garman
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Devakumar Jain
Prediction of customer propensity to churn - Telecom Industry
Prediction of customer propensity to churn - Telecom Industry
Pranov Mishra
churn prediction in telecom
churn prediction in telecom
Hong Bui Van
Malhotra03
Malhotra03
Uzair Javed Siddiqui
Churn prediction
Churn prediction
Gigi Lino
Data analytics vs. Data analysis
Data analytics vs. Data analysis
Dr. C.V. Suresh Babu
Data Analytics Life Cycle
Data Analytics Life Cycle
Dr. C.V. Suresh Babu
Churn customer analysis
Churn customer analysis
Dr.Bechoo Lal
Role of business analytics in the banking industry
Role of business analytics in the banking industry
Vaisakh Nambiar
predictive analytics
predictive analytics
Astha Jagetiya
DTH Case Study
DTH Case Study
Cequity Solutions
Big Data Modeling
Big Data Modeling
Hans Hultgren
Semantic Segmentation on Satellite Imagery
Semantic Segmentation on Satellite Imagery
RAHUL BHOJWANI
Churn prediction data modeling
Churn prediction data modeling
Pierre Gutierrez
How We Did It: The Case of the Misconnecting Passengers
How We Did It: The Case of the Misconnecting Passengers
Teradata
Big Data use cases in telcos
Big Data use cases in telcos
Mohamed Zuber Khatib
Data cube
Data cube
Hitesh Mohapatra
Measurement of variable& scaling (2)
Measurement of variable& scaling (2)
H9460730008
Predicting Customer Behavior With Big Data
Predicting Customer Behavior With Big Data
Pactera_US
Generative AI in insurance- A comprehensive guide.pdf
Generative AI in insurance- A comprehensive guide.pdf
StephenAmell4
SAS + Ciboodle @ Customer Intelligence User Conf
SAS + Ciboodle @ Customer Intelligence User Conf
Sword Ciboodle
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
SAS Institute India Pvt. Ltd
Más contenido relacionado
La actualidad más candente
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Devakumar Jain
Prediction of customer propensity to churn - Telecom Industry
Prediction of customer propensity to churn - Telecom Industry
Pranov Mishra
churn prediction in telecom
churn prediction in telecom
Hong Bui Van
Malhotra03
Malhotra03
Uzair Javed Siddiqui
Churn prediction
Churn prediction
Gigi Lino
Data analytics vs. Data analysis
Data analytics vs. Data analysis
Dr. C.V. Suresh Babu
Data Analytics Life Cycle
Data Analytics Life Cycle
Dr. C.V. Suresh Babu
Churn customer analysis
Churn customer analysis
Dr.Bechoo Lal
Role of business analytics in the banking industry
Role of business analytics in the banking industry
Vaisakh Nambiar
predictive analytics
predictive analytics
Astha Jagetiya
DTH Case Study
DTH Case Study
Cequity Solutions
Big Data Modeling
Big Data Modeling
Hans Hultgren
Semantic Segmentation on Satellite Imagery
Semantic Segmentation on Satellite Imagery
RAHUL BHOJWANI
Churn prediction data modeling
Churn prediction data modeling
Pierre Gutierrez
How We Did It: The Case of the Misconnecting Passengers
How We Did It: The Case of the Misconnecting Passengers
Teradata
Big Data use cases in telcos
Big Data use cases in telcos
Mohamed Zuber Khatib
Data cube
Data cube
Hitesh Mohapatra
Measurement of variable& scaling (2)
Measurement of variable& scaling (2)
H9460730008
Predicting Customer Behavior With Big Data
Predicting Customer Behavior With Big Data
Pactera_US
Generative AI in insurance- A comprehensive guide.pdf
Generative AI in insurance- A comprehensive guide.pdf
StephenAmell4
La actualidad más candente
(20)
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Prediction of customer propensity to churn - Telecom Industry
Prediction of customer propensity to churn - Telecom Industry
churn prediction in telecom
churn prediction in telecom
Malhotra03
Malhotra03
Churn prediction
Churn prediction
Data analytics vs. Data analysis
Data analytics vs. Data analysis
Data Analytics Life Cycle
Data Analytics Life Cycle
Churn customer analysis
Churn customer analysis
Role of business analytics in the banking industry
Role of business analytics in the banking industry
predictive analytics
predictive analytics
DTH Case Study
DTH Case Study
Big Data Modeling
Big Data Modeling
Semantic Segmentation on Satellite Imagery
Semantic Segmentation on Satellite Imagery
Churn prediction data modeling
Churn prediction data modeling
How We Did It: The Case of the Misconnecting Passengers
How We Did It: The Case of the Misconnecting Passengers
Big Data use cases in telcos
Big Data use cases in telcos
Data cube
Data cube
Measurement of variable& scaling (2)
Measurement of variable& scaling (2)
Predicting Customer Behavior With Big Data
Predicting Customer Behavior With Big Data
Generative AI in insurance- A comprehensive guide.pdf
Generative AI in insurance- A comprehensive guide.pdf
Similar a Das Next Best Offer-Konzept
SAS + Ciboodle @ Customer Intelligence User Conf
SAS + Ciboodle @ Customer Intelligence User Conf
Sword Ciboodle
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
SAS Institute India Pvt. Ltd
Module 2 Orchestration and Interaction Final
Module 2 Orchestration and Interaction Final
Vivastream
If only I had known
If only I had known
Tony Spelkens
(1008) Anticipate And Manage Change
(1008) Anticipate And Manage Change
groovetrain77
Customerintel sas stepsinbecomingmore_tony_s
Customerintel sas stepsinbecomingmore_tony_s
bdma Belgian Direct Marketing Association
Predictive analytics km chicago
Predictive analytics km chicago
KM Chicago
Notes Version: Revolutionize Your Direct Marketing with SocialMobile! - 10 St...
Notes Version: Revolutionize Your Direct Marketing with SocialMobile! - 10 St...
Vivastream
Ravi Makhija
Ravi Makhija
eletseditorial
Making Channels Work to Grow Your SaaS / Cloud Business
Making Channels Work to Grow Your SaaS / Cloud Business
Lincoln Murphy
10th may step stones and industry analysis
10th may step stones and industry analysis
Enterprisers
Analytical Revolution
Analytical Revolution
NedODoherty
Initial Draft
Initial Draft
Antonio Sánchez-Cordero
National retail federation yosi heber speech 1-15-13
National retail federation yosi heber speech 1-15-13
Yosi Heber
Smart analytics - Data Visualisation and Predictive Analytics solutions for F...
Smart analytics - Data Visualisation and Predictive Analytics solutions for F...
Srini Bezwada
Six Truths BtoB Marketers Must Accept
Six Truths BtoB Marketers Must Accept
Manticore Technology
Bulldog manticore final 6 truths
Bulldog manticore final 6 truths
Manticore Technology
Our value proposition
Our value proposition
CesarPinto_Forrester
Transformation of Sales and Marketing by Rene van der Laan
Transformation of Sales and Marketing by Rene van der Laan
Fima Rosyidah
Optimizing the value communications system, Scott Santucci, Forrester
Optimizing the value communications system, Scott Santucci, Forrester
Corporate Visions
Similar a Das Next Best Offer-Konzept
(20)
SAS + Ciboodle @ Customer Intelligence User Conf
SAS + Ciboodle @ Customer Intelligence User Conf
Anticipate & Manage Change with Business Analytics
Anticipate & Manage Change with Business Analytics
Module 2 Orchestration and Interaction Final
Module 2 Orchestration and Interaction Final
If only I had known
If only I had known
(1008) Anticipate And Manage Change
(1008) Anticipate And Manage Change
Customerintel sas stepsinbecomingmore_tony_s
Customerintel sas stepsinbecomingmore_tony_s
Predictive analytics km chicago
Predictive analytics km chicago
Notes Version: Revolutionize Your Direct Marketing with SocialMobile! - 10 St...
Notes Version: Revolutionize Your Direct Marketing with SocialMobile! - 10 St...
Ravi Makhija
Ravi Makhija
Making Channels Work to Grow Your SaaS / Cloud Business
Making Channels Work to Grow Your SaaS / Cloud Business
10th may step stones and industry analysis
10th may step stones and industry analysis
Analytical Revolution
Analytical Revolution
Initial Draft
Initial Draft
National retail federation yosi heber speech 1-15-13
National retail federation yosi heber speech 1-15-13
Smart analytics - Data Visualisation and Predictive Analytics solutions for F...
Smart analytics - Data Visualisation and Predictive Analytics solutions for F...
Six Truths BtoB Marketers Must Accept
Six Truths BtoB Marketers Must Accept
Bulldog manticore final 6 truths
Bulldog manticore final 6 truths
Our value proposition
Our value proposition
Transformation of Sales and Marketing by Rene van der Laan
Transformation of Sales and Marketing by Rene van der Laan
Optimizing the value communications system, Scott Santucci, Forrester
Optimizing the value communications system, Scott Santucci, Forrester
Más de SAS in Deutschland, Österreich und der Schweiz
MACHINE LEARNING – THE WHY, WHAT AND HOW
MACHINE LEARNING – THE WHY, WHAT AND HOW
SAS in Deutschland, Österreich und der Schweiz
BARC Studie: Predictive & Advanced Analytics - Schlüssel zur zukünftigen Wett...
BARC Studie: Predictive & Advanced Analytics - Schlüssel zur zukünftigen Wett...
SAS in Deutschland, Österreich und der Schweiz
Big Data Analytics Forum 2015: Wie gelingt der Schnellstart in die neue Infor...
Big Data Analytics Forum 2015: Wie gelingt der Schnellstart in die neue Infor...
SAS in Deutschland, Österreich und der Schweiz
Cross-Channel-Entscheidungen in Echtzeit – Entscheiden Sie kanalunabhängig un...
Cross-Channel-Entscheidungen in Echtzeit – Entscheiden Sie kanalunabhängig un...
SAS in Deutschland, Österreich und der Schweiz
Kontextbasiertes Marketing – Lernen Sie Kundenverhalten im Kontext verstehen ...
Kontextbasiertes Marketing – Lernen Sie Kundenverhalten im Kontext verstehen ...
SAS in Deutschland, Österreich und der Schweiz
Forsa-Umfrage: Wofür die Deutschen ihre persönlichen Daten preisgeben
Forsa-Umfrage: Wofür die Deutschen ihre persönlichen Daten preisgeben
SAS in Deutschland, Österreich und der Schweiz
Analytics für Einsteiger
Analytics für Einsteiger
SAS in Deutschland, Österreich und der Schweiz
Hadoop und SAS für Einsteiger
Hadoop und SAS für Einsteiger
SAS in Deutschland, Österreich und der Schweiz
SAS Webinar: Solvency 2 ORSA / FLAOR
SAS Webinar: Solvency 2 ORSA / FLAOR
SAS in Deutschland, Österreich und der Schweiz
Industrie 4.0: Impulsvortrag beim Wirtschaftsrat Deutschland 2014
Industrie 4.0: Impulsvortrag beim Wirtschaftsrat Deutschland 2014
SAS in Deutschland, Österreich und der Schweiz
SAS Data Governance
SAS Data Governance
SAS in Deutschland, Österreich und der Schweiz
„Wie Sie mit Multi-Channel-Strategien einen Kunden-Mehrwert schaffen“
„Wie Sie mit Multi-Channel-Strategien einen Kunden-Mehrwert schaffen“
SAS in Deutschland, Österreich und der Schweiz
High Performance Analytics im marketing
High Performance Analytics im marketing
SAS in Deutschland, Österreich und der Schweiz
Visual analytics
Visual analytics
SAS in Deutschland, Österreich und der Schweiz
Studie zu Open Government: Wünschen Bürger mehr Beteiligung?
Studie zu Open Government: Wünschen Bürger mehr Beteiligung?
SAS in Deutschland, Österreich und der Schweiz
SAS Forum Deutschland 2012 - Von Social Media zu CRM
SAS Forum Deutschland 2012 - Von Social Media zu CRM
SAS in Deutschland, Österreich und der Schweiz
Big Data & High-Performance-Analytics
Big Data & High-Performance-Analytics
SAS in Deutschland, Österreich und der Schweiz
Soziale Netzwerke: Was Bürger von der Verwaltung erwarten
Soziale Netzwerke: Was Bürger von der Verwaltung erwarten
SAS in Deutschland, Österreich und der Schweiz
Big Data - einfach erklärt!
Big Data - einfach erklärt!
SAS in Deutschland, Österreich und der Schweiz
IT Trends 2011 - und welchen Einfluss Business Analytics darauf hat
IT Trends 2011 - und welchen Einfluss Business Analytics darauf hat
SAS in Deutschland, Österreich und der Schweiz
Más de SAS in Deutschland, Österreich und der Schweiz
(20)
MACHINE LEARNING – THE WHY, WHAT AND HOW
MACHINE LEARNING – THE WHY, WHAT AND HOW
BARC Studie: Predictive & Advanced Analytics - Schlüssel zur zukünftigen Wett...
BARC Studie: Predictive & Advanced Analytics - Schlüssel zur zukünftigen Wett...
Big Data Analytics Forum 2015: Wie gelingt der Schnellstart in die neue Infor...
Big Data Analytics Forum 2015: Wie gelingt der Schnellstart in die neue Infor...
Cross-Channel-Entscheidungen in Echtzeit – Entscheiden Sie kanalunabhängig un...
Cross-Channel-Entscheidungen in Echtzeit – Entscheiden Sie kanalunabhängig un...
Kontextbasiertes Marketing – Lernen Sie Kundenverhalten im Kontext verstehen ...
Kontextbasiertes Marketing – Lernen Sie Kundenverhalten im Kontext verstehen ...
Forsa-Umfrage: Wofür die Deutschen ihre persönlichen Daten preisgeben
Forsa-Umfrage: Wofür die Deutschen ihre persönlichen Daten preisgeben
Analytics für Einsteiger
Analytics für Einsteiger
Hadoop und SAS für Einsteiger
Hadoop und SAS für Einsteiger
SAS Webinar: Solvency 2 ORSA / FLAOR
SAS Webinar: Solvency 2 ORSA / FLAOR
Industrie 4.0: Impulsvortrag beim Wirtschaftsrat Deutschland 2014
Industrie 4.0: Impulsvortrag beim Wirtschaftsrat Deutschland 2014
SAS Data Governance
SAS Data Governance
„Wie Sie mit Multi-Channel-Strategien einen Kunden-Mehrwert schaffen“
„Wie Sie mit Multi-Channel-Strategien einen Kunden-Mehrwert schaffen“
High Performance Analytics im marketing
High Performance Analytics im marketing
Visual analytics
Visual analytics
Studie zu Open Government: Wünschen Bürger mehr Beteiligung?
Studie zu Open Government: Wünschen Bürger mehr Beteiligung?
SAS Forum Deutschland 2012 - Von Social Media zu CRM
SAS Forum Deutschland 2012 - Von Social Media zu CRM
Big Data & High-Performance-Analytics
Big Data & High-Performance-Analytics
Soziale Netzwerke: Was Bürger von der Verwaltung erwarten
Soziale Netzwerke: Was Bürger von der Verwaltung erwarten
Big Data - einfach erklärt!
Big Data - einfach erklärt!
IT Trends 2011 - und welchen Einfluss Business Analytics darauf hat
IT Trends 2011 - und welchen Einfluss Business Analytics darauf hat
Último
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
Any kyc Account
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
P&CO
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
Renandantas16
M.C Lodges -- Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
Aaiza Hassan
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
Forklift Trucks in Minnesota
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Denis Gagné
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
Abortion pills in Kuwait Cytotec pills in Kuwait
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
Neil Kimberley
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Delhi Call girls
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
amitlee9823
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Lviv Startup Club
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
ritikaroy0888
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMAN
IlamathiKannappan
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
dlhescort
VIP Call Girls Gandi Maisamma ( Hyderabad ) Phone 8250192130 | ₹5k To 25k Wit...
VIP Call Girls Gandi Maisamma ( Hyderabad ) Phone 8250192130 | ₹5k To 25k Wit...
Suhani Kapoor
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in India
Shree Krishna Exports
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
Call Girls in Delhi
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael Hawkins
Michael W. Hawkins
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
Seo
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
priyanshujha201
Último
(20)
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
M.C Lodges -- Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
Creating Low-Code Loan Applications using the Trisotech Mortgage Feature Set
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMAN
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
VIP Call Girls Gandi Maisamma ( Hyderabad ) Phone 8250192130 | ₹5k To 25k Wit...
VIP Call Girls Gandi Maisamma ( Hyderabad ) Phone 8250192130 | ₹5k To 25k Wit...
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in India
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael Hawkins
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
Das Next Best Offer-Konzept
1.
Das Next Best Offer-Konzept Robert
Schumacher Customer Intelligence Solutions Manager, SAS Schweiz Swiss CRM Forum, Zürich, 24. Juni, 2010 Copyright © 2010 SAS Institute Inc. All rights reserved.
2.
The TV used
to be the tribal camp fire and got 100% attention….. 2 Copyright © 2010, SAS Institute Inc. All rights reserved.
3.
… but now
it’s just another light source…. doing all kind of other activities 3 Copyright © 2010, SAS Institute Inc. All rights reserved.
4.
How the customers
used to buy Based on how we used to do outbound promotional marketing Source: Forrester research 4 Copyright © 2010, SAS Institute Inc. All rights reserved.
5.
How the customers
buy today A more disrupted pathway – influenced by ’Signals’ & ’Events’ Usage Market & Competitor Experience Dynamics Recommendations Peer Review and User From Friends Generated Content 5 Copyright © 2010, SAS Institute Inc. All rights reserved.
6.
Higher success rates
with Dialoque Marketing Customer Success View Rate Enterprise-Initiated Marketing-Driven Traditional Campaign Intrusive 3% Customer-Triggered Product as Service Event Driven Contact Convenient 20% Customer-Initiated Relationship-Driven Real Time Interaction Appropriate 40% 6 Copyright © 2010, SAS Institute Inc. All rights reserved.
7.
The Next Best
Offer-Concept Offer Based Marketing “Let me find a group of people to tell about it.” “I have an offer…” Offer Next Best Offer Concept “I have a person with a “Let me find thebest offer specific need or behaviour…” to fit this persons need.” ‟ offer Offer offer offer Offer offer offer 7 Copyright © 2010, SAS Institute Inc. All rights reserved.
8.
Key Challenges of
Next Best Offer “The best determination of a customer‟s „next best offer‟, delivered in a controlled, coordinated and flexible manner through all customer facing channels”. SAS Customer Intelligence solutions solves these challenges to give: Effectiveness in analytical insight Coordination of the customer contacts Flexibility of decisioning process Integration into all channels Control of deployment 8 Copyright © 2010, SAS Institute Inc. All rights reserved.
9.
What your call
centre staff could experience Next Best Offer prompts either embedded into existing call centre applications Or surfaced as an overlay pop-up device as shown Features Customer profile dashboard Alert messages Prior marketing history Next Best Offers 9 Copyright © 2010, SAS Institute Inc. All rights reserved.
10.
What your customer
could experience Personalised offer based on next best offer analytics Situational Offer based on Marketing Product clickthru campaign or Promotion, based on sponsored search organisational need All coordinated through SAS Customer Intelligence solutions 10 Copyright © 2010, SAS Institute Inc. All rights reserved.
11.
Vodafone Australia Live deployment
of Next Best Offer in inbound call centres Total recommendations returned: 9.1%, of which…… » “Yes Upgrade” Responses: 46% response rate » “Maybe” Responses: 24% response rate » “No Happy with Plan” Response: 31% resp rate 11 Copyright © 2010, SAS Institute Inc. All rights reserved.
12.
Expand Next Best
Offer-Concept to Event Based Marketing across In- and Outbound 12 Copyright © 2010, SAS Institute Inc. All rights reserved.
13.
A combination of
signals defines an event Significant Changes in geo- transactions and demographic purchases, changes profiles, attitudes, in transactional RFM expressed preferences…… Descriptive Transactional Signals Signals Contact External Related Events Signals Complaints, enquiries, Competitive product registrations, on-line launches, price visits, marketing, forum changes, interest involvement……. rate changes…… 13 Copyright © 2010, SAS Institute Inc. All rights reserved.
14.
Klassifikation bedeutsamer Signale
Kontext- spezifische Ereignisse Wertpotential Produkt- bezogene Ereignisse Kunden- bezogene Ereignisse Aktuelle Plötzliche Rabattierung Nutzung anderer Komplexität eines Produktes Filialen Erstmalige Geburtstag Geburt eines Suche im E-Shop Kindes nach „Milch“ Wechsel des Verhältnismäßig Arbeitsortes geringe Online-Meldung Frequenz Bestellung eines eines Umzugs Newsletters Ungewöhnlich viele Bestellungen Produktlancierung Relativ hoher online Ausgabebetrag 14 Copyright © 2010, SAS Institute Inc. All rights reserved.
15.
Kontextspezifische Ereignisse
Transaktionsverhalten der Kunden für gezielte Ansprache nutzen Kundenindividuelles Verhaltens- Kündigung Wert der Transaktion normales Verhaltensmuster änderung „Window of Opportunity“ Zeit Überweisung (Lohn/Gehalt) Auszahlung (eigener Geldautomat) Überweisung (Geldausgang) Auszahlung (fremder Geldautomat) 15 Copyright © 2010, SAS Institute Inc. All rights reserved.
16.
Case Study: US
Bank US$223 billion (assets) 6th largest in the United States (as of June 30, 2008) 14 million customers 16 million transactions-daily 20,000 bankers 16 Copyright © 2010, SAS Institute Inc. All rights reserved. 193,000 banker leads/month
17.
Signals & events
generating automated leads More proactive with analytically based event triggers • Immediately alert branch bankers to up sell or retention opportunities Deliver 193,000 leads and alerts to • When a customer's balance significantly increases bankers every month. • When high-value customers are at risk for attrition, shown by significant withdrawals or declining balances 17 Copyright © 2010, SAS Institute Inc. All rights reserved.
18.
Trigger-Leads Drive a
Third of Revenue Gains Source of Revenue Reactive Marketing (customer service suggestions) 17% Banker Alert Relationship Marketing 32% 23% Targeted Marketing (outbound) 28% 18 Copyright © 2010, SAS Institute Inc. All rights reserved.
19.
Customer Value Up
144%* •Predicted an increase of Incremental Revenue Forecast $265 million in incremental revenue over a five-year period Dollars in Millions •Currently running about 15 percent ahead of projections •In the first month, improved lead distribution saw branch credit card 2004 2005 2006 2007 2008 2009 2010 sales increase by more than 400 percent "We knew we'd see lift, but the magnitude was stunning." Rich Martino, Senior Vice President, Market Information and Research * Results are measured based on incremental gains 19 Copyright © 2010, SAS Institute Inc. All rights reserved.
20.
Hmmm…, how to
exploit signals and events SAS will help you catch and trap the signals SAS will enable you to: Understand how signals combine to form events Understand which events are significant and important Understand how best to react to each event for each type of customer SAS will work with you to develop Event Based Marketing capability in your company, enabling you to react insightfully to events to deliver the right offer at the right time, including in real time SAS will fuel your sales and marketing strategy! 20 Copyright © 2010, SAS Institute Inc. All rights reserved.
21.
Next Steps –
Bringing this to reality Business Case: An agreed calculation of the financial impact and an understanding of what’s involved Discovery Workshop Event Discovery Workshop: A facilitated and structured Q&A discussion to understand your Business business drivers and where Case potential exist Pilot Project: Pilot Project Start implementing first set of Business Rules and Events and iteratively increase number and complexity 21 Copyright © 2010, SAS Institute Inc. All rights reserved.
22.
Take aways Nutzen
Sie das Next Best Offer Konzept, in dem Sie das für den jeweiligen Kunden optimale Offering berechnen. Erweitern Sie das Inbound Konzept auf die gesamten Marketing Aktivitäten und setzen Sie dies mit Event Based Marketing um. Die Kombination von Signalen führt zu aussagekräftigen Events, die für Kunden- Treatments relevant sind. SAS hilft Ihnen bei der Einführung und bietet mit der integrierten SAS Marketing Automation Lösung das Framework dazu. Starten Sie jetzt, denn Ihre Kunden hören nicht mehr hin! 22 Copyright © 2010, SAS Institute Inc. All rights reserved.
23.
Vielen Dank für
Ihre Aufmerksamkeit! Gespannt auf Ihr Feedback: Robert Schumacher Customer Intelligence Solutions Manager, SAS Switzerland robert.schumacher@sch.sas.com Copyright © 2010 SAS Institute Inc. All rights reserved.