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AGENDA
● SANOFI
● METHODOLOGY
● FINDINGS
● RECOMMENDATIONS
● $33,770 million euros in 2014.● 4th Largest Pharmaceutical Company in Revenues
Worldwide.
SANOFI Profile
SANOFI Profile
Lantus® • A long-acting human insulin analog, market leader for branded insulins
(IMS source). • Available in more than 120 countries worldwide.• one of the best-selling drugs in the world at $7.6 billion in 2013 sales.
Backgrounds
Toujeo● Follow up to Lantus: improved / less risk● Strategies:
○ New patients VS Loyalty patients○ Lower price VS Normal price○ More rebates VS Less rebates
Backgrounds
Methodology
○ Linear Regression
○ Ordinal Logistic Regression Models
○ Multinomial Regression Models
Parameter Estimates(Lantus)Variable Label D
FParamet
erEstimate
Standard
Error
t Value
Pr > |t|
Intercept Intercept 1 1.15150 0.15888 7.25 <.0001Medicaid Rebate C Medicaid
Rebate1 0.000002
247.79268
E-72.87 0.0046
Medicare Rebate
C Medicare Rebate
1 0.00002433
0.00000608
4.00 <.0001
LongTermCare Rebate
C LongTerm CareRebate
1 0.00002644
0.00000360
7.35 <.0001
Parameter Estimates(Lantus)Variable Label DF Paramet
erEstimate
Standard
Error
t Valu
e
Pr > |t|
Intercept Intercept 1 1.50096 0.18599 8.07 <.0001Speaker
ProgramsC Speaker Programs
1 0.00001039
0.00014234
0.07 0.9419
Sales Force Expense
Sales Force Expense
1 0.00000404
0.00000248
1.63 0.1054
rebate rebate 1 0.00000418
8.306757E-7
5.03 <.0001
Parameter Estimates (Toujeo)
Variable Label DF ParameterEstimate
Standard
Error
t Value
Pr > |t|
Intercept Intercept 1 1.49652 0.09062 16.51 <.0001
medicaidRebate
medicaidRebate
1 0.00000596
0.00000111
5.38 <.0001
medicareRebate
medicareRebate
1 0.00014704
0.00002737
5.37 <.0001
LongTermCareRebate
LongTermCare Rebate
1 0.00003762
0.00000621
6.06 <.0001
Parameter Estimates (Toujeo)Variable Label DF Parameter
EstimateStandard
Errort
ValuePr > |t|
Intercept Intercept 1 1.42672 0.25109 5.68 <.0001
Vouchers Vouchers 1 0.00045002 0.00030286
1.49 0.1411
Sales ForceExpense
Sales ForceExpense
1 -0.00000343
0.00000217
-1.58 0.1189
speakerPrograms
speakerPrograms
1 -0.00002051
0.00003894
-0.53 0.5999
Samples SSamples 1 0.00009594 0.00003661
2.62 0.0104
rebate rebate 1 0.00000930 0.00000169
5.50 <.0001
Linear Regression
Ordinal Logistic Regression - Lantus Rebates Programs
Odds Ratio Estimates
Effect Point Estimate
95% WaldConfidence Limits
Medicaid 2 vs 1 1.383 0.746 2.566Medicaid 3 vs 1 4.101 1.928 8.722Medicare 2 vs 1 2.199 1.182 4.089Medicare 3 vs 1 3.636 1.510 8.759
Long Term Care 1 vs 2 >999.999 <0.001 >999.999
Long Term Care 3 vs 2 5.933 2.952 11.924
c 0.731
Net Income(From: Net Income
New)
Net Income (Into: Net Income New)
1 2 3 4 Total
1 (70.6%) 3618.00
94.50
52.50
10.50
5125.50
2 (17.6%) 199.50
94.50
147.00
94.50
5125.50
3 (20.4%) 157.50
115.50
105.00
136.50
4924.50
4 (49%) 84.00
42.00
136.50
2423.00
4924.50
Total (39.5%) 7839.00
3316.5
4221.00
4723.50
200100
Table of _From_ by _Into_
Marketing Programs
Ordinal Logistic Regression - Lantus
Odds Ratio Estimates
Effect Point Estimate
95% WaldConfidence Limits
Speaker 2 vs 1 2.727 0.484 15.360Speaker 3 vs 1 0.549 0.272 1.109
Sales Force 1 vs 2 1.180 0.651 2.138Sales Force 3 vs 2 4.016 1.126 14.322
Rebates1 vs 2 >999.999 <0.001 >999.999
Rebates 3 vs 2 3.676 2.087 6.475
c 0.681
Net Income(From: Net Income
New)
Net Income (Into: Net Income New)
1 2 4 Total
1 (70.6%) 3620.00
52.78
84.44
4927.22
2 (8.3%) 2614.44
42.22
1810.00
4826.67
3 (0%) 105.56
42.22
2614.44
4022.22
4 (62.8%) 105.56
63.33
2715.00
4323.89
Total (37.2%) 8245.56
1910.56
7943.89
180100.00
Table of _From_ by _Into_
Findings -Lantus
Rebates● Medicaid: Higher expense, higher net-income● Medicare: Higher expense, higher net-income● Long term: Cluster 3 might has higher probability brings
Higher net income when expense is around $49888 (Cluster Center)Marketing programs ● Speaker program: Cluster 2 are more likely to results in
higher income compared to Cluster 1.● Sales Force : Higher expense, higher net-income
Ordinal Logistic Regression - Toujeo Rebates Programs
Odds Ratio Estimates
Effect Point Estimate
95% WaldConfidence Limits
Medicaid 2 vs 1 7.397 0.746 2.566Medicaid 3 vs 1 4.554 1.928 8.722Medicare 1 vs 3 0.124 1.182 4.089Medicare 2 vs 3 >999.999 <0.001 >999.999
Long Term Care 2 vs 1 >999.999 <0.001 >999.999
Long Term Care 3 vs 1 5.564 2.541 12.183
c 0.79
Net Income(From: Net Income
New)
Net Income (Into: Net Income New)
1 3 4 Total
1 (82.7%) 4321.50
94.50
00.00
5226.00
2 (0%) 3216.00
178.50
10.50
5025.00
3 (36.7%) 115.50
189.00
2010.00
4924.50
4 (61.2%) 31.50
168.00
3015.00
4924.50
Total (45.5%) 8944.50
6030.00
5125.50
200100.00
Table of _From_ by _Into_
Marketing Programs
Ordinal Logistic Regression - Toujeo
Odds Ratio Estimates
Effect Point Estimate
95% WaldConfidence Limits
Voucher 1 vs 3 1.678 0.6 4.694
Voucher 2 vs 3 3.019 1.109 8.223
Sales Force 2 vs 1 0.677 0.237 1.934
Sales Force 3 vs1 <0.001 <0.001 >999.999
Speaker 2 vs 1 0.640 0.196 2.084
Sample 3 vs 1 2.503 0.999 6.272
Rebates 2 vs 1 8.802 3.238 23.922
Rebates 3 vs 1 >999.999 <0.001 >999.999
c 0.809
Net Income(From: Net Income
New)
Net Income (Into: Net Income New)
1 2 3 4 Total
1 (66.7%) 2022.47
88.99
22.25
00.00
3033.71
2 (37%) 1112.36
1011.24
55.62
11.12
2730.34
3 (42.9%) 22.25
88.99
910.11
22.25
2123.6
4 (36.4%) 00.00
11.12
66.74
44.49
1112.36
Total (48.3%) 3337.08
2730.34
2224.72
77.87
89100.00
Table of _From_ by _Into_
Findings -ToujeoRebates● Medicaid: Higher expense, higher net-income● Medicare: Cluster 1 might has slightly higher probability to
bring higher net-income compared to cluster 3. The cluster center for Cluster 1 is $1136.● Long term: Cluster 3 might has higher probability brings
Higher net income when expense is around $21287 (Cluster Center)
Marketing Programs• Vouchers: Cluster 3 has higher probability brings Higher
net income when expense is around $739 (Cluster Center)
Recommendations
● Reposition Lantus to focus more on lower income patients.
● Control the marketing costs for Lantus and spend the money on the expenditures for Toujeo.
● Minimize voucher cost for Toujeo.
● More data on:
-Target customer purchase behaviors
-Lantus’ Competitions
Next Step
Thank you!
Medicaid
● In all states, Medicaid provides free or low-cost care for some low-income people, families and children, pregnant women, the elderly, and people with disabilities.
● In some states the program covers all adults below a certain income level.
● Medicaid programs must follow federal guidelines, but coverage and costs may be different from state to state. Some Medicaid programs pay for your care directly. Others use private insurance companies to provide Medicaid coverage.
Appendix
Appendix
Score Test for the ProportionalOdds Assumption
Chi-Square DF Pr > ChiSq
9.8106 12 0.6326
Model Fit Statistics
Criterion Intercept Only Intercept andCovariates
AIC 560.438 508.160
SC 570.333 537.845
-2 Log L 554.438 490.160
Analysis of Maximum Likelihood Estimates
Parameter DF Estimate StandardError
WaldChi-
Square
Pr > ChiSq
Intercept 4 1 -2.6343 0.3221 66.8808 <.0001
Intercept 3 1 -1.2671 0.2750 21.2246 <.0001
Intercept 2 1 0.0864 0.2596 0.1109 0.7391
C_R1 2 1 0.3245 0.3151 1.0606 0.3031
C_R1 3 1 1.4112 0.3850 13.4320 0.0002
C_R2 2 1 0.7879 0.3166 6.1946 0.0128
C_R2 3 1 1.2909 0.4485 8.2835 0.0040
C_R3 1 1 15.4864 916.0 0.0003 0.9865
C_R3 3 1 1.7805 0.3561 24.9955 <.0001
Appendix
Score Test for the ProportionalOdds Assumption
Chi-Square DF Pr > ChiSq
6.0118 12 0.9155
Model Fit Statistics
Criterion Intercept Only Intercept andCovariates
AIC 503.857 479.182
SC 513.436 507.919
-2 Log L 497.857 461.182
Analysis of Maximum Likelihood Estimates
Parameter DF Estimate StandardError
WaldChi-Square
Pr > ChiSq
Intercept 4 1 -2.0727 0.2862 52.4493 <.0001
Intercept 3 1 -0.9170 0.2492 13.5381 0.0002
Intercept 2 1 0.4189 0.2409 3.0251 0.0820
C_Speaker 2 1 1.0033 0.8819 1.2942 0.2553
C_Speaker 3 1 0.6000 0.3589 2.7949 0.0946
C_Sales 1 1 0.1654 0.3032 0.2977 0.5853
C_Sales 3 1 1.3904 0.6487 4.5944 0.0321
Crebatenew
1 1 15.5484 916.5 0.0003 0.9865
Crebatenew
3 1 1.3017 0.2889 20.3088 <.0001
Appendix
Score Test for the ProportionalOdds Assumption
Chi-Square DF Pr > ChiSq
15.8638 12 0.1976
Model Fit Statistics
Criterion Intercept Only Intercept andCovariates
AIC 560.399 455.860
SC 570.293 485.545
-2 Log L 554.399 437.860
Analysis of Maximum Likelihood Estimates
Parameter
DF Estimate StandardError
WaldChi-
Square
Pr > ChiSq
Intercept 4 1 -1.1714 0.4189 7.8203 0.0052
Intercept 3 1 0.6185 0.4143 2.2284 0.1355
Intercept 2 1 2.2070 0.4302 26.3207 <.0001
S_R1 2 1 2.0011 0.6181 10.4819 0.0012
S_R1 3 1 1.5160 0.3148 23.1840 <.0001
S_R2 1 1 -2.0887 0.4176 25.0210 <.0001
S_R2 2 1 12.7331 881.3 0.0002 0.9885
S_R3 2 1 16.8230 881.3 0.0004 0.9848
S_R3 3 1 1.7164 0.3998 18.4266 <.0001
Appendix
Score Test for the ProportionalOdds Assumption
Chi-Square DF Pr > ChiSq
18.7908 16 0.2797
Model Fit Statistics
Criterion Intercept Only Intercept andCovariates
AIC 242.307 205.517
SC 249.773 232.892
-2 Log L 236.307 183.517
Analysis of Maximum Likelihood Estimates
Parameter DF Estimate StandardError
WaldChi-Square
Pr > ChiSq
Intercept 4 1 -4.1860 0.6355 43.3927 <.0001
Intercept 3 1 -2.1072 0.4550 21.4508 <.0001
Intercept 2 1 -0.3101 0.3861 0.6450 0.4219
S_Voucher 1 1 0.5175 0.5249 0.9718 0.3242
S_Voucher 2 1 1.1051 0.5112 4.6736 0.0306
S_Sales 2 1 -0.3907 0.5360 0.5312 0.4661
S_Sales 3 1 -28.4081 563.2 0.0025 0.9598
S_Speaker 2 1 -0.4467 0.6025 0.5497 0.4585
S_Sample 3 1 0.9176 0.4686 3.8342 0.0502
Srebatenew
2 1 2.1749 0.5101 18.1772 <.0001
Srebatenew
3 1 15.5274 343.4 0.0020 0.9639