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Kontaktpunkt analyse
Nordic Head of IMM Bo Sannung,
SAS Institute
Email: bo.sannung@sas.com,
Mobil: +45 5138 7770
Message Overload
   On any given day, the
     customer will be
  exposed to nearly 3,000
     media messages.
           They will pay
          attention to 52.

      They will positively
        remember 4.
    The chance they will
    remember your ad is
             0.013%!



D. Mastervich, VP, Sales Strategy, U.S. Postal
   Service, VDP Conference Presentation



                                                    2
DRIVING VALUE FROM CUSTOMER RELATIONSHIPS
                 IS INCREASINGLY COMPLEX


Customers &
Prospects




Offers,
Services &
Pricing




Channels &
Business       Web      E-mail   Mail   Mobile   Print   Social   Phone   Branch     ATM   Advisor   TV   Radio       Service   Finance   Collections   Risk

Functions
                                                                                                                                  $
              Checking                     Credit Cards                        Loans                      Mortgages                  Insurance
Products
              Savings                                                              Lines                                            Investments
Social media – amplifying number of
                             touchpoints




    1 February 2013
4
Channel / Media Trustworthiness




                                Epsilon Targeting

               5       Step 3: Multichannel Marketing
Traditional decision journey




Source: Edelman et al. 2010




    1 February 2013
6
New customer decision journey




Source: Edelman et al 2010




    1 February 2013
7
Key considerations


 •      Consider
           –           TOM brands: Touchpoints – Ads, store displays, WOM
 •      Evaluate                                                                                         70% budget
           –           Seeking input: Touchpoints – peers, reviewers, retailers, brands


 •      Buy
           –           Point of purchase: Touchpoints – placement, packaging, availability, pricing, sales interactions
 •      Enjoy, Advocate, Bond
           –           Deeper connection: Touchpoints – online, mobile, research, advocate, WOM




Source: Edelman et al 2010




     1 February 2013
2012 COPYRIGHT SAS INSTITUTE
  8
Managing the customer experience


        Influence whether or not to                                          Moving from consideration to
        consider buying:                                                     purchase:
        -    Advertising                                                     -   Direct sales
        -    WOM                                                             -   Physical store
        -    Direct mail                                                     -   Contact center
        -    Social media                                                    -   Social media



                                                  PRE     DURING




                                                        POST
                                                               Leverage after sale to improve brand experience:
                                                               -   Installation
Source: Vandermerwe 2000, and Dunn & Davis 2004                -   Customer service
                                                               -   Warranty
                                                               -   Surveys
                                                               -   Maintenance
                                                               -   Upgrades
                                                               -   Portfolio
    1 February 2013
9
ACCENTURE RESEARCH 2011
77% OF HIGH-PERFORMING        COMPANIES THAT INVEST IN ADVANCED
COMPANIES HAVE ANALYTICAL     ANALYTICAL CAPABILITIES OUTPERFORM
CAPABILITIES ABOVE AVERAGE    THE S&P 500 ON AVERAGE BY 64%




ONLY 40% OF MAJOR BUSINESS    65% OF HIGH-PERFORMING COMPANIES
DECISIONS ARE BASED ON DATA   HAVE SIGNIFICANT DECISION-SUPPORT
AND FACTS                     AND ANALYTICAL CAPABILITIES




36% OF HIGH-PERFORMING        INADEQUATE INFORMATION ACCESS
COMPANIES VALUE ANALYTICAL    REDUCES KNOWLEDGE WORKERS’
INSIGHTS                      PRODUCTIVITY BY 54%
“The Emergence Of Customer Experience Management Solutions”

             Fra outbound til inbound
Time to Get it Right

      Treat customers the way we want to be treated…




…and generate double-digit increases in response and revenue

                                                         Overview
Personalized “Next Best Product” offer
            executed across…



Branch/Advisor


                     nbp
The NBO 4 main components
    Customer Behavior              Importance


 “The probability of the       “The profitability
 customer to aquire the     generated if the customer
       product”               aquire the product”




       Restrictions             Previous Contacts



 “The product can be sold   “The product was already
    to the customer”         offered to this customer”
Maximering af kundeværdi



                                                                            Customers
Product Silos


Front Office
                                        Potential
Back Office


                                        Customer
   Data
                                         Value


  System
Limitations                  Risk                   Profitability



                Maximise Customer Revenue, Reduce Cost to Serve, Enhance Margin
Profitabilitet
Lønsomhedsopgørelse

Omsætning:
Forbrugs DB                               100
Abonnement DB                             100
= Samlet DB1                              200
Direkte kapacitetsomkostninger:
Salg                                      10
Marketing                                 20
Kampagne                                  30
= Samlet direkte kapacitetsomkostninger   60
= Samlet DB2                              140
Indirekte kapacitetsomkostninger:
Kundecenter                               15
Billing / Produktskifte                   25
Debitorer                                 35
= Samlet direkte kapacitetsomkostninger   75
= Samlet omkostninger                     135
= Samlet DB2,5                             65
Øvrige omkostninger                       50
= EBIT                                    15
Lønsomhed på kunde
Faktisk kunde i august 2009
Potentiale
Kunde scoring - respons

Kunde     Kamp A   Kamp B   Kamp C


  1         90       20         90

  2         80       70         75

  3         60       75         65

  4         55       80         75

  5         75       60         50

  6         75       65         60

  7         75       90         65

  8         65       60         60

  9         80       30         75
Kunde scoring - Produkt

Kunde     Prod A   Prod B   Prod C


  1        90       20          90

  2        80       70          75

  3        60       75          65

  4        55       80          75

  5        75       60          50

  6        75       65          60

  7        75       90          65

  8        65       60          60

  9        80       30          75
Kunde scoring - kanal

Kunde      Kanal A   Kanal B    Kanal C


  1          90        20         90

  2          80        70         75

  3          60        75         65

  4          55        80         75

  5          75        60         50

  6          75        65         60

  7          75        90         65

  8          65        60         60

  9          80        30         75
Risiko
Kunde scoring - churn

Kunde     Churn Q1   Churn Q2   Churn Q3


  1          90         20         90

  2          80         70         75

  3          60         75         65

  4          55         80         75

  5          75         60         50

  6          75         65         60

  7          75         90         65

  8          65         60         60

  9          80         30         75
Applying Predictive Models to Marketing Strategy
Marketing Objective                Question                                  Modeling Approach                                    Treatment Strategy


                                Why Will Customer Churn?                     Propensity to Churn
         Reconciliation




                                When Will Customer                           Survival Model (Time until
           Churn &




                                                                             churn)
                                Churn?                                                                                                    Value Segment

                                Who is Savable?                              Propensity to Stay
                                                                                                                                          Decile   H   M   L

                                                                                                                                             1




                                                                                                                       Propensity Score
                                                                                                                                             2

                                                                                                                                             3

                                Who Will Buy? What?                                                                                          4
                                                                               Propensity to Buy
                                                                                                                                             5
             Maximize Revenue




                                Which product will                             Product Basket
                                Customer Buy Next?

                                When Will Customer                             Survival Model (Time until
                                Buy?                                           Purchase)




                                                                                                                                                               27



                                                           Copyright © 2011, SAS Institute Inc. All rights reserved.
Step 1: develop a meaningful customer
segmentation                                                                                Research Data
                                                                                            • 2800 survey respondents
 Segmentation Requirements                                                                  • Shopping behaviour
 • Simple and intuitive                                                                     • Loyalty programme participation
 • Categorises appropriate share of the customer database                                   • Satisfaction
 • Segments of significant sizes
 • Sufficient differentiation
 • Actionable

                                                                                                    Knowledge

Transactional Data
• Points accrual transactions
                                                                               Participation                   Engagement
• Points redemption transactions
• Shopping behaviour
  across 17 retail and
  service brands                                                                       Value                   Satisfaction
• Card usage vs
  automatic points
  collection                                                                                       Opportunity
                                Segmentation
• Response to
  promotions


                                                                                                                                28



                                       Copyright © 2011, SAS Institute Inc. All rights reserved.
The Nectar Marketing Communications
Segmentation
                               Engaged Enthusiasts




                  Bonus Seekers                             Savvy Supermarket
                                                                Shoppers




  Contented X-   Swipeless Savers                              Routine Grocery      Nectar Indifferents
   Shoppers                                                      Shoppers




                                                                                                          29



                        Copyright © 2011, SAS Institute Inc. All rights reserved.
Step 3: Overlaying financial data allows
for improving the allocation of customer
marketing investment
                       Average Customer Profitability and Ability to Promote by Segment

High

                            Low profitability, some
                            opportunity to improve
Promotability Index




                               via incentives




                                             Low profitability, little                                   Highly profitable
                                            opportunity to improve                                          segments
Low
                                                via incentives

                      Low                                     Profitability Index                                            High


                                                                                                                                    30



                                             Copyright © 2011, SAS Institute Inc. All rights reserved.

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Kontaktpunkt analyse 2013 bo sannung

  • 1. Kontaktpunkt analyse Nordic Head of IMM Bo Sannung, SAS Institute Email: bo.sannung@sas.com, Mobil: +45 5138 7770
  • 2. Message Overload On any given day, the customer will be exposed to nearly 3,000 media messages. They will pay attention to 52. They will positively remember 4. The chance they will remember your ad is 0.013%! D. Mastervich, VP, Sales Strategy, U.S. Postal Service, VDP Conference Presentation 2
  • 3. DRIVING VALUE FROM CUSTOMER RELATIONSHIPS IS INCREASINGLY COMPLEX Customers & Prospects Offers, Services & Pricing Channels & Business Web E-mail Mail Mobile Print Social Phone Branch ATM Advisor TV Radio Service Finance Collections Risk Functions $ Checking Credit Cards Loans Mortgages Insurance Products Savings Lines Investments
  • 4. Social media – amplifying number of touchpoints 1 February 2013 4
  • 5. Channel / Media Trustworthiness Epsilon Targeting 5 Step 3: Multichannel Marketing
  • 6. Traditional decision journey Source: Edelman et al. 2010 1 February 2013 6
  • 7. New customer decision journey Source: Edelman et al 2010 1 February 2013 7
  • 8. Key considerations • Consider – TOM brands: Touchpoints – Ads, store displays, WOM • Evaluate 70% budget – Seeking input: Touchpoints – peers, reviewers, retailers, brands • Buy – Point of purchase: Touchpoints – placement, packaging, availability, pricing, sales interactions • Enjoy, Advocate, Bond – Deeper connection: Touchpoints – online, mobile, research, advocate, WOM Source: Edelman et al 2010 1 February 2013 2012 COPYRIGHT SAS INSTITUTE 8
  • 9. Managing the customer experience Influence whether or not to Moving from consideration to consider buying: purchase: - Advertising - Direct sales - WOM - Physical store - Direct mail - Contact center - Social media - Social media PRE DURING POST Leverage after sale to improve brand experience: - Installation Source: Vandermerwe 2000, and Dunn & Davis 2004 - Customer service - Warranty - Surveys - Maintenance - Upgrades - Portfolio 1 February 2013 9
  • 10.
  • 11. ACCENTURE RESEARCH 2011 77% OF HIGH-PERFORMING COMPANIES THAT INVEST IN ADVANCED COMPANIES HAVE ANALYTICAL ANALYTICAL CAPABILITIES OUTPERFORM CAPABILITIES ABOVE AVERAGE THE S&P 500 ON AVERAGE BY 64% ONLY 40% OF MAJOR BUSINESS 65% OF HIGH-PERFORMING COMPANIES DECISIONS ARE BASED ON DATA HAVE SIGNIFICANT DECISION-SUPPORT AND FACTS AND ANALYTICAL CAPABILITIES 36% OF HIGH-PERFORMING INADEQUATE INFORMATION ACCESS COMPANIES VALUE ANALYTICAL REDUCES KNOWLEDGE WORKERS’ INSIGHTS PRODUCTIVITY BY 54%
  • 12. “The Emergence Of Customer Experience Management Solutions” Fra outbound til inbound
  • 13. Time to Get it Right Treat customers the way we want to be treated… …and generate double-digit increases in response and revenue Overview
  • 14. Personalized “Next Best Product” offer executed across… Branch/Advisor nbp
  • 15. The NBO 4 main components Customer Behavior Importance “The probability of the “The profitability customer to aquire the generated if the customer product” aquire the product” Restrictions Previous Contacts “The product can be sold “The product was already to the customer” offered to this customer”
  • 16. Maximering af kundeværdi Customers Product Silos Front Office Potential Back Office Customer Data Value System Limitations Risk Profitability Maximise Customer Revenue, Reduce Cost to Serve, Enhance Margin
  • 18. Lønsomhedsopgørelse Omsætning: Forbrugs DB 100 Abonnement DB 100 = Samlet DB1 200 Direkte kapacitetsomkostninger: Salg 10 Marketing 20 Kampagne 30 = Samlet direkte kapacitetsomkostninger 60 = Samlet DB2 140 Indirekte kapacitetsomkostninger: Kundecenter 15 Billing / Produktskifte 25 Debitorer 35 = Samlet direkte kapacitetsomkostninger 75 = Samlet omkostninger 135 = Samlet DB2,5 65 Øvrige omkostninger 50 = EBIT 15
  • 19. Lønsomhed på kunde Faktisk kunde i august 2009
  • 20.
  • 22. Kunde scoring - respons Kunde Kamp A Kamp B Kamp C 1 90 20 90 2 80 70 75 3 60 75 65 4 55 80 75 5 75 60 50 6 75 65 60 7 75 90 65 8 65 60 60 9 80 30 75
  • 23. Kunde scoring - Produkt Kunde Prod A Prod B Prod C 1 90 20 90 2 80 70 75 3 60 75 65 4 55 80 75 5 75 60 50 6 75 65 60 7 75 90 65 8 65 60 60 9 80 30 75
  • 24. Kunde scoring - kanal Kunde Kanal A Kanal B Kanal C 1 90 20 90 2 80 70 75 3 60 75 65 4 55 80 75 5 75 60 50 6 75 65 60 7 75 90 65 8 65 60 60 9 80 30 75
  • 26. Kunde scoring - churn Kunde Churn Q1 Churn Q2 Churn Q3 1 90 20 90 2 80 70 75 3 60 75 65 4 55 80 75 5 75 60 50 6 75 65 60 7 75 90 65 8 65 60 60 9 80 30 75
  • 27. Applying Predictive Models to Marketing Strategy Marketing Objective Question Modeling Approach Treatment Strategy Why Will Customer Churn? Propensity to Churn Reconciliation When Will Customer Survival Model (Time until Churn & churn) Churn? Value Segment Who is Savable? Propensity to Stay Decile H M L 1 Propensity Score 2 3 Who Will Buy? What? 4 Propensity to Buy 5 Maximize Revenue Which product will Product Basket Customer Buy Next? When Will Customer Survival Model (Time until Buy? Purchase) 27 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 28. Step 1: develop a meaningful customer segmentation Research Data • 2800 survey respondents Segmentation Requirements • Shopping behaviour • Simple and intuitive • Loyalty programme participation • Categorises appropriate share of the customer database • Satisfaction • Segments of significant sizes • Sufficient differentiation • Actionable Knowledge Transactional Data • Points accrual transactions Participation Engagement • Points redemption transactions • Shopping behaviour across 17 retail and service brands Value Satisfaction • Card usage vs automatic points collection Opportunity Segmentation • Response to promotions 28 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 29. The Nectar Marketing Communications Segmentation Engaged Enthusiasts Bonus Seekers Savvy Supermarket Shoppers Contented X- Swipeless Savers Routine Grocery Nectar Indifferents Shoppers Shoppers 29 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 30. Step 3: Overlaying financial data allows for improving the allocation of customer marketing investment Average Customer Profitability and Ability to Promote by Segment High Low profitability, some opportunity to improve Promotability Index via incentives Low profitability, little Highly profitable opportunity to improve segments Low via incentives Low Profitability Index High 30 Copyright © 2011, SAS Institute Inc. All rights reserved.