This document summarizes research into consumers' willingness to pay premiums for reduced waiting times to receive the iPhone 6 across different price points and regions. It was found that: 1) Premiums for immediate delivery did not correlate as strongly with longer wait times, since immediate buyers viewed it as a "hot" purchase. 2) Premiums decreased with increased price points but correlated most strongly for immediate delivery. 3) Contrary to expectations, consumers did not anchor to their expected prices and linearly adjust premiums based on given prices. Overall, the research found differences in purchasing behavior between consumers viewing a product as "hot" versus strategic buyers.
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1Demand and Supply EstimationAssignment 1 Dem.docxjoyjonna282
1
Demand and Supply Estimation
Assignment 1: Demand and Supply Estimation
Your name
Your Instructor’s name
Course Id:
Your Institution’s name
Date:
Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April.
1. Compute the elasticity for each independent variable.
QD = - 5200 - 42P + 20(600) + 5.2(5500) + .20(10,000) + .25(5000)
Replacing the values of: PX= 600, I=5,500, P=500, M=5,000 and A=10,000
QD= - 5200 – 42(500) + 20(600) + 5.2(5500) + 0.20(10000) + 0.25(5000) = 17,650
Price Elasticity is given by: (Ep) = (P/Q) (∆Q/∆P)
From regression equation we find: ∆Q/∆P = -42.
Therefore, Price Elasticity (Ep) = (P/Q) (-42) (500/17650) = -1.19, likewise,
(Microwave oven’s Elasticity (EM) = (P/Q) (0.25) (5000/17650) = 0.07
Income-elasticity (EI) = (P/Q) (5.2) (5500/17650) = 1.62
Advertisement-elasticity (EA) = (P/Q) (0.20) (10000/17650) = 0.11
Cross- price elasticity ( Ec) = 20(600/17560) = 0.68
2. Determine the implications for each of the computed elasticities for the business in terms of short-term pricing strategies. Provide a rationale in which you cite your results.
Price Elasticity: The Price Elasticity (EP) is – 1.19. It implies that if there is made an increment of 1% in the cost of the item then it will drop the demanded quantity by 1.19%. In this way, it demonstrates that the demanded quantity is elastic in result. Subsequently, it prompts the circumstance that if the wages of the consumers rise then this may push them away.
Microwave Oven Elasticity: The computed elasticity in connection to the microwave ovens in the region is of 0.07, implying that this made an increase of 1% in the quantity of microwaves in the region would bring about an increment in the demanded quantity by .07%.
Income Elasticity: The calculated income elasticity is 1.62. This demonstrates that it brings an increment of 1% of the income of a buyer; it will bring an increment of the demanded quantity of the item by 1.62%. With this perception, we can see that the item is flexible; Hence, causing the organization to increase costs of the item if an income of the buyer increases.
Cross – Price Elasticity: The calculated cross – price elasticity is said to be 0.68. In the event that competitors raise their cost by 1%, it will lead to an increase of the demanded quantity of the item by 0.68%. This makes it be an inelastic behavior of the item demanded to the cost of competitors due to the fact that there are no influences in the sale of the competitors.
Advertisement Elasticity: The computed advertisement elasticity is .11; implying that if there is a 1% increment of the advertisement costs, the increment of the business would lead into an increment of the demanded quantity by 0.11%. This shows that the demanded quantity of the item is inelastic as it relates to t ...
Changes in consumer spending habits due to covid 19Paras Lakhotra
This report analyzes how consumers are reining their spendings in 2 two different periods i.e. pre lockdown and during the lockdown due to COVID-19 and then analyzing the changes in the behavior of the consumer that has been taking place. Hence using these insights to forecast the upcoming period.
Dynamic, Individualised Pricing and Customer Loyalty in the Swiss Retail Market: Chances and Risks
Evangelos Xevelonakis, Professor, HWZ University of Applied Sciences in Business Administration Zurich, Switzerland.
1Demand and Supply EstimationAssignment 1 Dem.docxjoyjonna282
1
Demand and Supply Estimation
Assignment 1: Demand and Supply Estimation
Your name
Your Instructor’s name
Course Id:
Your Institution’s name
Date:
Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April.
1. Compute the elasticity for each independent variable.
QD = - 5200 - 42P + 20(600) + 5.2(5500) + .20(10,000) + .25(5000)
Replacing the values of: PX= 600, I=5,500, P=500, M=5,000 and A=10,000
QD= - 5200 – 42(500) + 20(600) + 5.2(5500) + 0.20(10000) + 0.25(5000) = 17,650
Price Elasticity is given by: (Ep) = (P/Q) (∆Q/∆P)
From regression equation we find: ∆Q/∆P = -42.
Therefore, Price Elasticity (Ep) = (P/Q) (-42) (500/17650) = -1.19, likewise,
(Microwave oven’s Elasticity (EM) = (P/Q) (0.25) (5000/17650) = 0.07
Income-elasticity (EI) = (P/Q) (5.2) (5500/17650) = 1.62
Advertisement-elasticity (EA) = (P/Q) (0.20) (10000/17650) = 0.11
Cross- price elasticity ( Ec) = 20(600/17560) = 0.68
2. Determine the implications for each of the computed elasticities for the business in terms of short-term pricing strategies. Provide a rationale in which you cite your results.
Price Elasticity: The Price Elasticity (EP) is – 1.19. It implies that if there is made an increment of 1% in the cost of the item then it will drop the demanded quantity by 1.19%. In this way, it demonstrates that the demanded quantity is elastic in result. Subsequently, it prompts the circumstance that if the wages of the consumers rise then this may push them away.
Microwave Oven Elasticity: The computed elasticity in connection to the microwave ovens in the region is of 0.07, implying that this made an increase of 1% in the quantity of microwaves in the region would bring about an increment in the demanded quantity by .07%.
Income Elasticity: The calculated income elasticity is 1.62. This demonstrates that it brings an increment of 1% of the income of a buyer; it will bring an increment of the demanded quantity of the item by 1.62%. With this perception, we can see that the item is flexible; Hence, causing the organization to increase costs of the item if an income of the buyer increases.
Cross – Price Elasticity: The calculated cross – price elasticity is said to be 0.68. In the event that competitors raise their cost by 1%, it will lead to an increase of the demanded quantity of the item by 0.68%. This makes it be an inelastic behavior of the item demanded to the cost of competitors due to the fact that there are no influences in the sale of the competitors.
Advertisement Elasticity: The computed advertisement elasticity is .11; implying that if there is a 1% increment of the advertisement costs, the increment of the business would lead into an increment of the demanded quantity by 0.11%. This shows that the demanded quantity of the item is inelastic as it relates to t ...
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coordination tool in supply chains, this research identifies the impacts of a return policy on the efficacy of
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Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
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Probabilistic selling is a marketing strategy that multi-item vendors provide to consumers, presenting
discounted options through acceptance of uncertain risks with random selections from sets of multiple distinct
items. However, past studies of this strategy assume a no return policy since returned items shift part of the
mentioned uncertain risk to the retailer. Because returns are a common business practice and an important
coordination tool in supply chains, this research identifies the impacts of a return policy on the efficacy of
probabilistic selling models
Als internetverzekeraar in een markt waarin de kleinste aanpassingen in pricing, product of dienstverlening het verschil kunnen maken moet je sneller en slimmer zijn dan je concurrenten. Ik laat concrete Data Science toepassingen zien die bewijzen dat je in een verzadigde markt gezonde groei kunt realiseren.
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A current commitment of £ for a period of time in order to derive future payments that will compensate for:
• the time the funds are committed
• the expected rate of inflation
• uncertainty of future flow of funds
Fundamentals and advanced concepts in customer segmentation. CLV (customer lifetime value) and specific implications in Telecoms. Approaches in operational deployment of customer segmentation.
Real estate costs and profits change in cycles, sometimes anticipated in type but not in severity or
length. It is known that there are two forms of cycles: ‘capital markets’ cycle which refers to stages of investor
request for commercial real estate assets and the costs and value at which they trade and there is ‘space
market’ cycle which express the demand for and source of real estate space. For a long-term investor, it is
recommended to buy and maintain the stocks event if the estate assets pass through their unavoidable ups and
downs. Real estate investors should be
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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