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Why an iPhone? 
Advanced Marketing research - MKGM31203 
APOORV KHANDELWAL FULVIO GIANETTI SENTHIL KRISHNA
Literature Review 
 Su Xuanming, Optimal Pricing with Speculators and 
Strategic Consumers, Management Science, 2010
Hypotheses 
 When waiting time for the product increases, the 
premium that the consumers are willing to pay to get 
the product immediately, proportionately increases. 
 Across different waiting times, the premiums will be 
correlated with the price of the phone.
Respondent Demographics 
 Respondents from 
 European Union 
 USA 
 Others 
 Collected responses from iPhone users 
 Created distinct datasets for users who viewed it as 
 Hot product 
 Functional product 
 Used these to draw interesting comparisons 
 Classified respondents who had made an upgrade and were willing 
to buy the new iPhone 6 as ‘hot product’ buyers to draw comparisons
Questionnaire Design 
 Simple, short - 7 questions 
 Customized according to the area of domicile 
 Gathered information on 
 Expected iPhone 6 price 
 Premium they are willing to pay to reduce their waiting time to get the 
iPhone 6 for: 
3 different times of delivery at 2 price points 
 Used sliders to get accurate, realistic data
Survey Statistics 
 Sample size: 50 
13 
20 
10 
7 
0 5 10 15 20 25 
iPhone 3S 
iPhone 4 
iPhone 4S 
iPhone 5 
iPhone Ownership among respondents 
76% 
24% 
Yes No 
Upgraded from one 
iPhone to another 
iPhone 
78% 
14% 
8% 
Yes 
No 
Don't Know 
Will you buy an iPhone 6 
•76 % of the respondents are between age 18 - 
25 
•50% - Students; 
•40% - Working Professionals
Expectations 
Our expectations were: 
I. Strong correlation between premiums for all 3 
waiting periods at each price point 
II. Strong correlation between premiums for waiting 
periods across both the price points; Strongest for 
immediate purchase 
III. Linear regression behavior with the premiums as 
dependent variables and the initial price assigned as 
independent variable 

Expectation I 
 Expected: 
 Strong correlation between premiums for all 3 waiting 
periods at each price point 
 The premium people are willing to pay increases as the 
waiting time decreases
Expectation I (..results) 
120 
100 
80 
60 
40 
20 
0 
Overnight 1 month 2 month 
Premium (in Euros) 
Waiting Time 
Price point 679 euros 
Average 
Price point 779 euros 
Correlation between premiums 
people are willing to pay 
Price Points 
679 euros 779 euros 
Between 2 
delivery 
times 
Overnight and 1 month 0.77 0.78 
1 month and 2 month 0.87 0.87 
Overnight and 2 month 0.47 0.49
Expectation I (…explained) 
 Actual: 
 We see a strong correlation between 1 month and 2 
months followed by immediate and 1 month. 
 Reasons: 
 Customers who bought it immediately viewed it as a hot 
purchase and hence could not be compared with those 
getting it later. 
 Strong correlation between 1 and 2 months as it 
captured cognitive strategic buying behavior
Expectation II 
 Expected: 
 Strong correlation between premiums for waiting periods 
across both the price points; Strongest for immediate 
purchase 
 The premiums people are willing to pay decreases as the 
retail price point increases
Expectation II (..results) 
Correlation between premium people are willing to pay between 2 retail 
price points (679 euros and 779 euros) 
Waiting times 
Overnight 0.896586 
1 month 0.790308 
2 months 0.630297 
120 
100 
80 
60 
40 
20 
0 
Overnight 1 month 2 month 
Premium (in Euros) 
Waiting times 
Price point 679 euros 
Price point 779 euros
Expectation II (…explained) 
 Actual: 
 We see a strong correlation for premiums for immediate 
purchases across the price points 
 Decrease in premiums payable as the price increases 
 Reasons: 
 Because immediate purchasers were willing to pay a 
premium, which fell drastically as the waiting period 
increases 
 This was contradictory to what we expected. Because of 
customers biasing themselves at a new price point and 
hence reducing premium payable
Expectation III 
 Expected: 
 Linear regression behavior with the premiums as 
dependent variables and the initial price assigned as 
independent variable 
 The higher the difference between the expected price 
and the price points shown is, higher is the amount of 
premium they are willing to pay
Expectation III (..results) 
Regression Statistics 
Multiple R 0.736529 
R Square 0.542476 
Adjusted R Square 0.52553 
Standard Error 42.73086 
200 
180 
160 
140 
120 
100 
80 
60 
40 
20 
0 
Overnight 1 month 2 month 
Premium (in Euros) 
Waiting Periods with different expected prices 
650 - 700 
701 - 750 
751 - 800 
801 - 850 
851 - 900
Expectation III (…explained) 
 Actual: 
 Linear Regression: No such behaviour exhibited 
 Reasons: 
 Customers did not anchor themselves to the prices 
they quoted and shifted to the price informed. Hence 
very low correlation
Other Observations 
 Premiums people are willing to pay are much less in the 
US than in Europe 
 Prices of the iPhone are lesser in the US 
 The expected price by students is less than that by 
working professionals 
 Difference in spending power 
100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 
Overnight 1 month 2 month 
Mean Premium (in EUR) 
EU Responses 
US Responses 
45% 
40% 
35% 
30% 
25% 
20% 
15% 
10% 
5% 
0% 
Student Working Professional 
650 - 700 
701 - 750 
751 - 800 
801 - 850 
851 - 900 
Mean 
730 euros 
Mean 
760 euros 
Expected 
Price
Summary 
 People who treat a product as a ‘hot product’ show 
substantial difference in behavior from ‘strategic 
buyers’ 
 Premiums for immediate delivery are not correlated with 1 
month and 2 months waiting times and are substantially 
higher 
 Prices they assign to a new iPhone are also higher 
 Anchors have a strong influence on the premiums 
consumers are willing to pay
 Thank you !

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Amr presentation

  • 1. Why an iPhone? Advanced Marketing research - MKGM31203 APOORV KHANDELWAL FULVIO GIANETTI SENTHIL KRISHNA
  • 2. Literature Review  Su Xuanming, Optimal Pricing with Speculators and Strategic Consumers, Management Science, 2010
  • 3. Hypotheses  When waiting time for the product increases, the premium that the consumers are willing to pay to get the product immediately, proportionately increases.  Across different waiting times, the premiums will be correlated with the price of the phone.
  • 4. Respondent Demographics  Respondents from  European Union  USA  Others  Collected responses from iPhone users  Created distinct datasets for users who viewed it as  Hot product  Functional product  Used these to draw interesting comparisons  Classified respondents who had made an upgrade and were willing to buy the new iPhone 6 as ‘hot product’ buyers to draw comparisons
  • 5. Questionnaire Design  Simple, short - 7 questions  Customized according to the area of domicile  Gathered information on  Expected iPhone 6 price  Premium they are willing to pay to reduce their waiting time to get the iPhone 6 for: 3 different times of delivery at 2 price points  Used sliders to get accurate, realistic data
  • 6. Survey Statistics  Sample size: 50 13 20 10 7 0 5 10 15 20 25 iPhone 3S iPhone 4 iPhone 4S iPhone 5 iPhone Ownership among respondents 76% 24% Yes No Upgraded from one iPhone to another iPhone 78% 14% 8% Yes No Don't Know Will you buy an iPhone 6 •76 % of the respondents are between age 18 - 25 •50% - Students; •40% - Working Professionals
  • 7. Expectations Our expectations were: I. Strong correlation between premiums for all 3 waiting periods at each price point II. Strong correlation between premiums for waiting periods across both the price points; Strongest for immediate purchase III. Linear regression behavior with the premiums as dependent variables and the initial price assigned as independent variable 
  • 8. Expectation I  Expected:  Strong correlation between premiums for all 3 waiting periods at each price point  The premium people are willing to pay increases as the waiting time decreases
  • 9. Expectation I (..results) 120 100 80 60 40 20 0 Overnight 1 month 2 month Premium (in Euros) Waiting Time Price point 679 euros Average Price point 779 euros Correlation between premiums people are willing to pay Price Points 679 euros 779 euros Between 2 delivery times Overnight and 1 month 0.77 0.78 1 month and 2 month 0.87 0.87 Overnight and 2 month 0.47 0.49
  • 10. Expectation I (…explained)  Actual:  We see a strong correlation between 1 month and 2 months followed by immediate and 1 month.  Reasons:  Customers who bought it immediately viewed it as a hot purchase and hence could not be compared with those getting it later.  Strong correlation between 1 and 2 months as it captured cognitive strategic buying behavior
  • 11. Expectation II  Expected:  Strong correlation between premiums for waiting periods across both the price points; Strongest for immediate purchase  The premiums people are willing to pay decreases as the retail price point increases
  • 12. Expectation II (..results) Correlation between premium people are willing to pay between 2 retail price points (679 euros and 779 euros) Waiting times Overnight 0.896586 1 month 0.790308 2 months 0.630297 120 100 80 60 40 20 0 Overnight 1 month 2 month Premium (in Euros) Waiting times Price point 679 euros Price point 779 euros
  • 13. Expectation II (…explained)  Actual:  We see a strong correlation for premiums for immediate purchases across the price points  Decrease in premiums payable as the price increases  Reasons:  Because immediate purchasers were willing to pay a premium, which fell drastically as the waiting period increases  This was contradictory to what we expected. Because of customers biasing themselves at a new price point and hence reducing premium payable
  • 14. Expectation III  Expected:  Linear regression behavior with the premiums as dependent variables and the initial price assigned as independent variable  The higher the difference between the expected price and the price points shown is, higher is the amount of premium they are willing to pay
  • 15. Expectation III (..results) Regression Statistics Multiple R 0.736529 R Square 0.542476 Adjusted R Square 0.52553 Standard Error 42.73086 200 180 160 140 120 100 80 60 40 20 0 Overnight 1 month 2 month Premium (in Euros) Waiting Periods with different expected prices 650 - 700 701 - 750 751 - 800 801 - 850 851 - 900
  • 16. Expectation III (…explained)  Actual:  Linear Regression: No such behaviour exhibited  Reasons:  Customers did not anchor themselves to the prices they quoted and shifted to the price informed. Hence very low correlation
  • 17. Other Observations  Premiums people are willing to pay are much less in the US than in Europe  Prices of the iPhone are lesser in the US  The expected price by students is less than that by working professionals  Difference in spending power 100 90 80 70 60 50 40 30 20 10 0 Overnight 1 month 2 month Mean Premium (in EUR) EU Responses US Responses 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Student Working Professional 650 - 700 701 - 750 751 - 800 801 - 850 851 - 900 Mean 730 euros Mean 760 euros Expected Price
  • 18. Summary  People who treat a product as a ‘hot product’ show substantial difference in behavior from ‘strategic buyers’  Premiums for immediate delivery are not correlated with 1 month and 2 months waiting times and are substantially higher  Prices they assign to a new iPhone are also higher  Anchors have a strong influence on the premiums consumers are willing to pay