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Using incremental marketing
techniques to maximise
loyalty with minimum cost



N Skilling, P
 eil         ortraitSoftware
Neil.Skilling@portraitsoftware.com


Loyalty World 15th November 2010
A Typical Customer Lifecycle

                           New

               Win-
                                   Build
               Back


                                   Cross
               Save                & Up-
                                    Sell
                           Anti-
                           Churn
page 2
Typical Retention Strategies
â—Ź Pre-Emptive
  â—Ź Build customer value into the relationship
  â—Ź Ensure full-value understood, used and appreciated by
    customers
  â—Ź Improve customer experience
â—Ź Proactive
  â—Ź Target customers at risk
  â—Ź Target valuable customers at risk
â—Ź Reactive
  â—Ź Product mismatch
  â—Ź Save team and offer limits
  â—Ź Win-back



page 3
Increasing Sophistication in Proactive Retention
Sophistication




                                                                    Target on
                                 Significant
                                 Event                             value at risk

                                                 Target on
                    Land Grab                   attrition risk

                                                                 Attrition Probability Ă— Value
                                 Untargeted
                                  retention
                                                 Attrition
                                                 Probability              MAINSTREAM
                   Acquisition
                                                                          CURRENT
                                               LAGGARDS
                                                                          PRACTICE

                                                                                                 Time

                                                                 Page 4
Value at Risk – Micro-Segmentation                                    = high investments

                                                                              = medium investments
                                 Customer Profitability Segments              = low / no investments

                                  Top5   Next 10   Next 20   Mid 30   Low40

                      High 1

                      High 2
Propensity to leave




                      High 3

                      Medium 1

                      Medium 2

                      Medium 3

                      Medium 4

                      Low 1

                      Low 2

                      Low 3


        Page 5
Value = ÂŁ200
Measurement of Effectiveness                                 Contact Cost = ÂŁ0.50
                                                             Incentive = ÂŁ100


           Number of              Save    Value of
 Segment                Saves                             Total Profit
           Customers             Rate %   Response

 Treated     100,000    75,000     75% ÂŁ 15,000,000 ÂŁ 7,450,000
 Control     100,000    70,000     70% ÂŁ 14,000,000 ÂŁ 13,880,000
               Uplift    5,000      5% ÂŁ 1,000,000 -ÂŁ 6,430,000
• Uplift = Treated “Response” – Control “Response”
• Uplift can only be measured against a control group or background
response rate
• Campaign profitability is measured from Uplift only not total
responses

• Where did the Uplift come from?
• Can we target on Uplift only?
                                                 Page 6
McCoy’s Revelation


                     “It’s worse than that —
                         he’s dead, Jim”


                       – Dr Leonard H. McCoy




page 7
Fundamental Segmentation for Retention

                   SLEEPING DOGS    LOST CAUSES


             Yes
        CHURN IF
        TREATED
                    SURE THINGS    PERSUADABLES
             No


                          No         Yes
                      CHURN IF NOT TREATED
8   Page 8
When are negative effects likely?


                          attrition risk

                            dissatisfied / angry customers

                                risqué / offensive
                                communications
                           intrusive contact mechanisms

                        forgotten standing charges



9
Increasing Sophistication in Retention

                                                                                        Target on
                                                                                         savable
Sophistication




                                                                                          value
                                                                    Target on
                                 Significant
                                 Event                             value at risk

                                                 Target on                            Save Prob Ă— Value
                    Land Grab                   attrition risk

                                                                 Attrition Probability Ă— Value
                                 Untargeted
                                  retention
                                                 Attrition
                                                 Probability           MAINSTREAM
                   Acquisition                                                                   STATE-OF-THE-ART
                                                                       CURRENT
                                               LAGGARDS
                                                                       PRACTICE

                                                                                                  Time

                                                                 Page 10
When Things go Well – Mobile Phone Contract Renewal


              SLEEPING DOGS

    Yes
                                  LOST CAUSES
 CHURN IF
 TREATED
            SURE THINGS       PERSUADABLES

   No


                    No           Yes
                 CHURN IF NOT TREATED
                                        Page 11
When Things go Wrong – Mobile Telco
           Number of             Save    Value of
 Segment               Saves                                  Total Profit
           Customers            Rate %   Response
 Treated     100,000 90,000       90% ÂŁ 18,000,000 ÂŁ 8,950,000
 Control     100,000 91,000       91% ÂŁ 18,200,000 ÂŁ 18,059,000
               Uplift - 1,000     -1% -ÂŁ   200,000 -ÂŁ 9,109,000




                                                                Value = ÂŁ200
                                                                Contact Cost = ÂŁ0.50
                                                                Incentive = ÂŁ100


                                                    Page 12
Avoiding Churn Stimulation – Credit Card Re-Pricing
        Number of Improved Improvement        Value of
Segment                                                      Total Profit
        Customers Performance Rate %          Response
Treated       100,000     49,520       49.5% ÂŁ 2,476,000 ÂŁ 2,426,000
Control       100,000     43,470       43.5% ÂŁ 2,173,500 ÂŁ 2,173,500
                Uplift     6,050        6.1% ÂŁ   302,500 ÂŁ   252,500
                                                         Value = ÂŁ50
                                                         Contact Cost = ÂŁ0.50
                                                         Incentive = ÂŁ0
SLEEPING DOGS            LOST CAUSES
                                        • Customer Management
                                          often involves difficult
                     PERSUADABLES
                                          conversations
                                        • Knowing for whom this will
SURE THINGS                               have a wholly beneficial
                                          effect is a big win.
 page 13
Customer Case Studies

 Business Goals                                        Use Customer Insight as never used before: Leverage Data and
                                                       Analytical Excellence to increase customer retention and profitability

 ROI                                                   Key breakthroughs with Portrait Analytics and Uplift Optimizer
                                                       at Lloyds TSB Insurance

 • Added over £10 million incremental profit per year in the last two years
 • Increased the retention rate by 4.09%,
   300% times better ROI                                     Initiative                                                                     ROI
 • Increased the marketing response rate by 35%                                                                                              (£/per year)
                                                                                                      Customer retention                       8,000,000
       Strong Positive Effect                Marginal Effect Negative Effect
 6%                                                                                           250 k
                                                                                                      Customer Cross-sell Cost Savings           400,000
 5%
                                       186 k   184 k
                                                       189 k   193 k
                                                                                              200 k   Customer Loyalty Cost Savings             1,100,00
                                                                       164 k
 4%                            156 k
                                                                                              150 k
                                                                                                      Customer Acquisition Growth                600,000
 3%                   110 k                                                    108 k
                                                                                                      Customer Acquisition Cost Reduction        600,000
                                                                                              100 k
 2%        66 k
                                                                                       47 k
                                                                                                      Online acquisition cost avoidance          100,000
                                                                                              50 k
 1%
                  Uplift      Profit                                                                  Total ROI                               10,800,000
      0k
 0%                                                                                       0k
      0%              20%              40%             60%             80%             100%




                                                                                                                  page 14
Customer Case Studies

                                                                               Deliver next generation targeting for customer retention (churn) campaigns
                        Business Goals
                                                                               Removing negative effects thus decreasing both churn and campaign costs
                                                                          Campaign ROI increased over 11 times previous campaigns
                        ROI
                                                                          Churn rate decreases by an additional 36% over traditional approach

                        • Traditional targeting reduced churn by 5% (from 23% to 18%)
                        • But significant negative effects observed
                        • Uplift model reduced these significantly                                                                                                                      Results
                                                                                                                                                            Without Uplift             improved
                                                                                                                                             Reduction in
                                   • Saving 40% of treatment costs                                                                          Overall Churn
                                                                                                                                                                                         36%


                                   • Further reducing churn to 6.8%                                                                                               With Uplift

                               Introduction of                                                                                                                                    5%              6.8%
                               first prediction                         Introduction of
                               model                                    refined prediction
                        25 %                                            model
                                   23 %

                        20 %
                                   19 %   19 %                                20 %                                                                                           Without Uplift
                                                                18 %                 18 %
                                                  17 %
                                                                       16 %                                                                      Treated
                                                                              15 %
annual defection rate




                        15 %              15 %
                                                  14 %   14 %
                                                                14 %   13 %
                                                                                     14 %
                                                                                                   13 %
                                                                                                                                                 Volume                                              Treated volume
                                                         12 %                                      11 %
                                                                                                                      13 %
                                                                                                                      11 %
                                                                                                                              12 %
                                                                                                                                     11 %
                                                                                                                                                                With Uplift                          reduced by 40%
                                                                                            11 %          11 %
                        10 %                                                                10 %
                                                                                                                 9%
                                                                                                                              10 %
                                                                                                          9%                         9%
                                                                                                                 8%

                         5%                                                                                                                                                               60%                         100%

                         0%
                                                                                                                             months




                                                                                                                                                               page 15
Lessons

   â—Ź Embed value within the relationship and
     avoid proactive retention
   â—Ź Measure, Measure, Measure the
     incremental effect and look for negative
     effects
   â—Ź Model on saveability not churn or attrition
     likelihood
   â—Ź Avoid the sleeping dogs, the lost causes
     and the sure things



page 16
Europe (Headquarters)
The Smith Centre, The Fairmile
Henley-on-Thames, Oxfordshire,
RG9 6AB, United Kingdom
T: +44 (0)1491 416600
F: +44 (0)1491 416601

Americas
125 Summer Street
16th Floor
Boston MA 02110, USA
T: +1 617 4575200
F: +1 617 4575299

Asia Pacific
Level 7
15-17 Young Street
Sydney NSW 2000
Australia
T: +61 2 9276 2728
F: +61 2 9276 2799

Scandinavia
Maridalsveien 87, Bygg 1
0461 Oslo
Norway
T: +47 22 38 91 00
F: +47 23 40 94 99

Edinburgh
39 Melville Street
Edinburgh
EH3 7JF, United Kingdom
T: +44 (0) 131 220 4491
F: +44 (0) 131 220 4492

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0 neil-skilling-presentation

  • 1. Using incremental marketing techniques to maximise loyalty with minimum cost N Skilling, P eil ortraitSoftware Neil.Skilling@portraitsoftware.com Loyalty World 15th November 2010
  • 2. A Typical Customer Lifecycle New Win- Build Back Cross Save & Up- Sell Anti- Churn page 2
  • 3. Typical Retention Strategies â—Ź Pre-Emptive â—Ź Build customer value into the relationship â—Ź Ensure full-value understood, used and appreciated by customers â—Ź Improve customer experience â—Ź Proactive â—Ź Target customers at risk â—Ź Target valuable customers at risk â—Ź Reactive â—Ź Product mismatch â—Ź Save team and offer limits â—Ź Win-back page 3
  • 4. Increasing Sophistication in Proactive Retention Sophistication Target on Significant Event value at risk Target on Land Grab attrition risk Attrition Probability Ă— Value Untargeted retention Attrition Probability MAINSTREAM Acquisition CURRENT LAGGARDS PRACTICE Time Page 4
  • 5. Value at Risk – Micro-Segmentation = high investments = medium investments Customer Profitability Segments = low / no investments Top5 Next 10 Next 20 Mid 30 Low40 High 1 High 2 Propensity to leave High 3 Medium 1 Medium 2 Medium 3 Medium 4 Low 1 Low 2 Low 3 Page 5
  • 6. Value = ÂŁ200 Measurement of Effectiveness Contact Cost = ÂŁ0.50 Incentive = ÂŁ100 Number of Save Value of Segment Saves Total Profit Customers Rate % Response Treated 100,000 75,000 75% ÂŁ 15,000,000 ÂŁ 7,450,000 Control 100,000 70,000 70% ÂŁ 14,000,000 ÂŁ 13,880,000 Uplift 5,000 5% ÂŁ 1,000,000 -ÂŁ 6,430,000 • Uplift = Treated “Response” – Control “Response” • Uplift can only be measured against a control group or background response rate • Campaign profitability is measured from Uplift only not total responses • Where did the Uplift come from? • Can we target on Uplift only? Page 6
  • 7. McCoy’s Revelation “It’s worse than that — he’s dead, Jim” – Dr Leonard H. McCoy page 7
  • 8. Fundamental Segmentation for Retention SLEEPING DOGS LOST CAUSES Yes CHURN IF TREATED SURE THINGS PERSUADABLES No No Yes CHURN IF NOT TREATED 8 Page 8
  • 9. When are negative effects likely? attrition risk dissatisfied / angry customers risquĂ© / offensive communications intrusive contact mechanisms forgotten standing charges 9
  • 10. Increasing Sophistication in Retention Target on savable Sophistication value Target on Significant Event value at risk Target on Save Prob Ă— Value Land Grab attrition risk Attrition Probability Ă— Value Untargeted retention Attrition Probability MAINSTREAM Acquisition STATE-OF-THE-ART CURRENT LAGGARDS PRACTICE Time Page 10
  • 11. When Things go Well – Mobile Phone Contract Renewal SLEEPING DOGS Yes LOST CAUSES CHURN IF TREATED SURE THINGS PERSUADABLES No No Yes CHURN IF NOT TREATED Page 11
  • 12. When Things go Wrong – Mobile Telco Number of Save Value of Segment Saves Total Profit Customers Rate % Response Treated 100,000 90,000 90% ÂŁ 18,000,000 ÂŁ 8,950,000 Control 100,000 91,000 91% ÂŁ 18,200,000 ÂŁ 18,059,000 Uplift - 1,000 -1% -ÂŁ 200,000 -ÂŁ 9,109,000 Value = ÂŁ200 Contact Cost = ÂŁ0.50 Incentive = ÂŁ100 Page 12
  • 13. Avoiding Churn Stimulation – Credit Card Re-Pricing Number of Improved Improvement Value of Segment Total Profit Customers Performance Rate % Response Treated 100,000 49,520 49.5% ÂŁ 2,476,000 ÂŁ 2,426,000 Control 100,000 43,470 43.5% ÂŁ 2,173,500 ÂŁ 2,173,500 Uplift 6,050 6.1% ÂŁ 302,500 ÂŁ 252,500 Value = ÂŁ50 Contact Cost = ÂŁ0.50 Incentive = ÂŁ0 SLEEPING DOGS LOST CAUSES • Customer Management often involves difficult PERSUADABLES conversations • Knowing for whom this will SURE THINGS have a wholly beneficial effect is a big win. page 13
  • 14. Customer Case Studies Business Goals Use Customer Insight as never used before: Leverage Data and Analytical Excellence to increase customer retention and profitability ROI Key breakthroughs with Portrait Analytics and Uplift Optimizer at Lloyds TSB Insurance • Added over ÂŁ10 million incremental profit per year in the last two years • Increased the retention rate by 4.09%, 300% times better ROI Initiative ROI • Increased the marketing response rate by 35% (ÂŁ/per year) Customer retention 8,000,000 Strong Positive Effect Marginal Effect Negative Effect 6% 250 k Customer Cross-sell Cost Savings 400,000 5% 186 k 184 k 189 k 193 k 200 k Customer Loyalty Cost Savings 1,100,00 164 k 4% 156 k 150 k Customer Acquisition Growth 600,000 3% 110 k 108 k Customer Acquisition Cost Reduction 600,000 100 k 2% 66 k 47 k Online acquisition cost avoidance 100,000 50 k 1% Uplift Profit Total ROI 10,800,000 0k 0% 0k 0% 20% 40% 60% 80% 100% page 14
  • 15. Customer Case Studies Deliver next generation targeting for customer retention (churn) campaigns Business Goals Removing negative effects thus decreasing both churn and campaign costs Campaign ROI increased over 11 times previous campaigns ROI Churn rate decreases by an additional 36% over traditional approach • Traditional targeting reduced churn by 5% (from 23% to 18%) • But significant negative effects observed • Uplift model reduced these significantly Results Without Uplift improved Reduction in • Saving 40% of treatment costs Overall Churn 36% • Further reducing churn to 6.8% With Uplift Introduction of 5% 6.8% first prediction Introduction of model refined prediction 25 % model 23 % 20 % 19 % 19 % 20 % Without Uplift 18 % 18 % 17 % 16 % Treated 15 % annual defection rate 15 % 15 % 14 % 14 % 14 % 13 % 14 % 13 % Volume Treated volume 12 % 11 % 13 % 11 % 12 % 11 % With Uplift reduced by 40% 11 % 11 % 10 % 10 % 9% 10 % 9% 9% 8% 5% 60% 100% 0% months page 15
  • 16. Lessons â—Ź Embed value within the relationship and avoid proactive retention â—Ź Measure, Measure, Measure the incremental effect and look for negative effects â—Ź Model on saveability not churn or attrition likelihood â—Ź Avoid the sleeping dogs, the lost causes and the sure things page 16
  • 17. Europe (Headquarters) The Smith Centre, The Fairmile Henley-on-Thames, Oxfordshire, RG9 6AB, United Kingdom T: +44 (0)1491 416600 F: +44 (0)1491 416601 Americas 125 Summer Street 16th Floor Boston MA 02110, USA T: +1 617 4575200 F: +1 617 4575299 Asia Pacific Level 7 15-17 Young Street Sydney NSW 2000 Australia T: +61 2 9276 2728 F: +61 2 9276 2799 Scandinavia Maridalsveien 87, Bygg 1 0461 Oslo Norway T: +47 22 38 91 00 F: +47 23 40 94 99 Edinburgh 39 Melville Street Edinburgh EH3 7JF, United Kingdom T: +44 (0) 131 220 4491 F: +44 (0) 131 220 4492