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Price Influence on Energy Drink Consumption Behavior Report

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Introduction

The goal of the report is to explore the consumption behavior of customers in response to price changes. To achieve this goal, the report selected energy drink as an elastic product in which its consumption is sensitive to price changes in the market. The understanding of the consumption behavior of customers plays a central role in the marketing of products. In competitive markets, the existence of substitute products makes products exhibit elastic demand because consumers prefer low prices. Some of the competitive brands of energy drinks are Lucozade, Monster, Stacker, RedBull, Shark, 5-hour energy, Liquid X, Beaver Buzz, and Burn. In this view, prices influence the kind of substitute products that customers purchase and the quantity they consume in a given instance. Therefore, this report presents findings of the data collected from 15 customers of energy drinks to determine how price changes influence their consumption behavior.

Demographic Information

Out of 15 participants, 53.3% (8) were males while 46.7% were females (Table 1).

Table 1.

Gender of Customer
FrequencyPercentValid PercentCumulative Percent
ValidMale853.353.353.3
Female746.746.7100.0
Total15100.0100.0

The distribution of participants (Table 2) according to their gender reveals that the majority (33.3%) were in the age group of 18-24 years followed by the ones in the age group of 35-44 years (26.7%) and 45-54 years (20%). Moreover, participants between the ages of 24-34 years constituted 13%, whereas those in the age group of 55-64 years formed 6.7%.

Table 2.

Age Group
FrequencyPercentValid PercentCumulative Percent
Valid18-24 Years533.333.333.3
25-34 Years213.313.346.7
35-44 Years426.726.773.3
45-54 Years320.020.093.3
55-64 Years16.76.7100.0
Total15100.0100.0

Tabulation (Table 3) of the participants based on their working industries shows that the majority of them (26.3%) worked in other industries followed by 267% who worked in the communication industry and 13.3% who worked in the banking industry.

Table 3.

Working Industry
FrequencyPercentValid PercentCumulative Percent
ValidCommunication Industry426.726.726.7
Education Industry16.76.733.3
Manufacturing Industry16.76.740.0
Banking Industry213.313.353.3
Transport Industry16.76.760.0
Security16.76.766.7
Other533.333.3100.0
Total15100.0100.0

Table 4 indicates that most participants (40%) had the experience of over 10 years, while the minority of them (6.7%) had less than 2 years of experience. The participants with 2-5 years and 6-10 years formed 33.3% and 20% respectively.

Table 4.

Work Experience
FrequencyPercentValid PercentCumulative Percent
ValidLess than 2 Years16.76.76.7
2-5 Years533.333.340.0
6-10 Years320.020.060.0
Over 10 Years640.040.0100.0
Total15100.0100.0

The analysis of the education level (Table 5) shows that the majority of participants (73.3%) are graduates followed by ones with masters’ level (13.3%). Participants with high school level and college level had the same proportion of 6.7%.

Table 5.

Education Level
FrequencyPercentValid PercentCumulative Percent
ValidHigh School Level16.76.76.7
College Level16.76.713.3
Graduate Level1173.373.386.7
Masters Level213.313.3100.0
Total15100.0100.0

The distribution according to marital status (Table 6) shows that most participants were married (66.7%), while the unmarried formed the minority of 26.7%.

Table 6.

Marital Status
FrequencyPercentValid PercentCumulative Percent
ValidUnmarried426.726.726.7
Married1173.373.3100.0
Total15100.0100.0

The frequency distribution (Table 7) indicates that the majority of participants (46.7%) earned income between 16,000 and 30,000 AED followed by 26.7% who earned income between 31,000 and 45,000 AED. The participants who earned income between 6,000 and 15,000 and those who earned income over 60,000 AED comprised of 6.7% each, whereas those who earned income in the range of 46,000-60,000 AED formed 13.3%.

Table 7.

Income Level
FrequencyPercentValid PercentCumulative Percent
Valid6,000-15,000 AED16.76.76.7
16,000-30,000 AED746.746.753.3
31,000-45,000 AED426.726.780.0
46,000-60,000 AED213.313.393.3
Over 60,000 AED16.76.7100.0
Total15100.0100.0

The Rate of Consuming Energy Drink

At the current prices, 13.3%, 20%, and 6.7% of participants consume energy drinks daily, few times a week, and once a week respectively (Table 8). Moreover, the majority of participants are not frequent consumers of energy drinks because 26.6%. 13.3% and 20% consume a few times a month, once a month, and less than once a month in that order.

Table 8.

Consumption Rate
FrequencyPercentValid PercentCumulative Percent
ValidLess Than Once a Month320.020.020.0
About Once a Month213.313.333.3
A Few Times a Month426.726.760.0
About Once a Week16.76.766.7
A Few Times a Week320.020.086.7
Everyday213.313.3100.0
Total15100.0100.0

Percent of Income Apportioned to Energy Drink

Table 9 depicts that the majority of respondents (66.7%) apportion less than 5% of their income, while the minority (33.3%) allocates between 5-10% of the income to the consumption of energy drink.

Table 9.

Percent of Income Consumed
FrequencyPercentValid PercentCumulative Percent
ValidLess than 5%1066.766.766.7
5-10%533.333.3100.0
Total15100.0100.0

The threshold of Price Increase

Regarding the effect of the price increase, 26.7%, 46.7%, 20%, and 6.3% of participants indicated that they would change their consumption behavior at the threshold of 10%, 20%, 30%, and 50% levels.

Table 10.

Threshold Price Increase to Change Behavior
FrequencyPercentValid PercentCumulative Percent
Valid10%426.726.726.7
20%746.746.773.3
30%320.020.093.3
50%16.76.7100.0
Total15100.0100.0

Effect of Threshold Prices

When prices of energy drinks attain threshold level, 60% of participants indicated that they would quit buying, whereas 40% showed that they would shift to a cheaper product (Table 11).

Table 11.

Change of Consumption Behavior
FrequencyPercentValid PercentCumulative Percent
ValidMove to Cheaper Product640.040.040.0
Quit Buying the Product960.060.0100.0
Total15100.0100.0

Short-Term Effect

Table 12 depicts that a higher proportion of participants (60%) would shift to cheaper products than quit buying energy drinks (40%) when prices increase over a short-term period of 6-12 months (Table 12).

Table 12.

Short Run (6 Months to 1 Year) Behavior Change
FrequencyPercentValid PercentCumulative Percent
ValidMove to Cheaper Product960.060.060.0
Quit Buying the Product640.040.0100.0
Total15100.0100.0

Long-Term Effect

Comparatively, Table 13 indicates that when prices of energy drinks increase over a long-term period of more than a year, almost the same proportion of participants would move to a cheaper product (53.3%) or quit buying (46.3%).

Table 13.

Long Run (More than 1 Year) Behavior Change
FrequencyPercentValid PercentCumulative Percent
ValidMove to Cheaper Product853.353.353.3
Quit Buying the Product746.746.7100.0
Total15100.0100.0

Effect of 10% VAT

Concerning the effect of a 10% increase in the value-added tax on consumer behavior, the frequency distribution (Table 14) reveals that 46.7% would reduce consumption, 26.7% would shift to a cheaper product, 20% remain the same, and 6.7% would increase consumption.

Table 14.

Effect of 10% VAT Increase
FrequencyPercentValid PercentCumulative Percent
ValidReduce746.746.746.7
Increase16.76.753.3
Remain the Same320.020.073.3
Shift to Cheaper Product426.726.7100.0
Total15100.0100.0

Effect of Removing 10% VAT

The removal of the 10% value-added tax would make participants change their consumption behavior by increasing consumption (46.7%), remain the same (46.7%), and reduce consumption by 6.7% (Table 15).

Table 15.

Consumption Behavior Change
FrequencyPercentValid PercentCumulative Percent
ValidReduce16.76.76.7
Increase746.746.753.3
Remain the Same746.746.7100.0
Total15100.0100.0

Conclusion

The analysis of collected data collected from respondents with varied demographics reveals that price changes influence the consumption of energy drinks. When prices increase due to value-added tax, consumers tend to decrease consumption, shift to cheaper products, or quit consumption. In contrast, when prices decrease consumers change their consumption or remain the same. Thus, the study confirms that energy drink is an elastic product because its consumption varies with prices.

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Reference

IvyPanda. (2021, May 16). Price Influence on Energy Drink Consumption Behavior. https://ivypanda.com/essays/price-influence-on-energy-drink-consumption-behavior/

Work Cited

"Price Influence on Energy Drink Consumption Behavior." IvyPanda, 16 May 2021, ivypanda.com/essays/price-influence-on-energy-drink-consumption-behavior/.

References

IvyPanda. (2021) 'Price Influence on Energy Drink Consumption Behavior'. 16 May.

References

IvyPanda. 2021. "Price Influence on Energy Drink Consumption Behavior." May 16, 2021. https://ivypanda.com/essays/price-influence-on-energy-drink-consumption-behavior/.

1. IvyPanda. "Price Influence on Energy Drink Consumption Behavior." May 16, 2021. https://ivypanda.com/essays/price-influence-on-energy-drink-consumption-behavior/.


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IvyPanda. "Price Influence on Energy Drink Consumption Behavior." May 16, 2021. https://ivypanda.com/essays/price-influence-on-energy-drink-consumption-behavior/.

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