Water resource brand marketing strategy based on cloud computing

Abstract

In the context of the development of the digital era, cloud computing technology has gradually penetrated into many industry fields and has had a profound impact on its structure and operation mode. Especially in the field of water brand marketing, cloud computing provides a range of advanced tools and platforms to help companies implement marketing strategies more efficiently and flexibly. The purpose of this study is to deeply explore the water resource brand marketing strategy based on cloud computing and make a comparative analysis with traditional methods. After an exhaustive literature review, this study summarizes the basic definition, core characteristics, and application of cloud computing in the water resources market. In order to more systematically understand the actual effects of cloud computing in marketing strategies, this study designed an experiment to compare the effects of cloud-based marketing strategies with traditional methods in practical applications. After rigorous data collection and processing, further analysis showed that the cloud-based strategy had relatively high performance on several key metrics such as sales growth and customer satisfaction. Based on the research results, it can be concluded that the cloud-based water resource brand marketing strategy provides a new research direction and practice opportunity for this field. This study provides useful theoretical support and practical guidance for water resource enterprises that expect to adjust and optimize brand strategy in the contemporary market environment.

Keywords

cloud computing water resources marketing strategy

Introduction

With the rapid development of global economy and the increasingly prominent environmental problems, water resources have gradually become the focus of global contention. Water is not only vital to sustaining life and ecosystem balance, but it is also a key element in the development of many industries, including agriculture, industry, and services. Therefore, the branding and marketization of water resources are particularly important in the current environment. Many water companies are seeking innovative marketing strategies to promote their products and services. In this process, cloud computing as a revolutionary technology opens up new possibilities for the digital transformation of enterprises by providing unprecedented data storage, processing, and analysis capabilities.

For example, a well-known water resource brand has successfully implemented targeted marketing strategies by analyzing consumer behavior and market trends through cloud computing platforms, thus significantly increasing brand influence and market share. This case fully illustrates the practical application value of cloud computing in water resources brand marketing. However, the specific application effects and potential challenges of cloud computing in water brand marketing strategies are still an area worthy of further study. The advantages and possible challenges of cloud computing compared to traditional marketing methods will be the focus of this study.

As an important part of the global economy, water resources have received extensive research attention. Majumder et al.¹ emphasized the necessity of effective management and assessment of water resources by proposing a comprehensive assessment method based on fuzzy logic. Similarly, Li et al.² explored the effectiveness and ecological sustainability of regional water resources coordination, highlighting the complexity and multi-dimensionality of water resources management. These studies show that as the global demand for water increases, scientific management and assessment of water resources is becoming increasingly important.

As an advanced information technology, cloud computing provides a new perspective for water resources management. Cravero et al.³ explored the application of cloud computing in water resource management and designed a big data architecture. They point out that cloud computing can efficiently process large amounts of water data to support more precise management decisions. In addition, Buahin and Horsburgh,⁴ in their research on upgrading the Open Model Interface (OpenMI) to support integrated water resource modeling, also confirmed the important role of cloud computing technology in water resource management.

In the field of water resource brand marketing, the application of cloud computing provides new opportunities to improve brand influence and market competitiveness. Xu et al.⁵ demonstrated the application of visualization and visual analysis in water resources management, emphasizing the importance of data-driven decision-making. This echoes Abdallah and Rosenberg’s⁶ data modeling study on water resources system modeling, which mentions the potential of cloud computing in processing and analyzing water resources data.

Combining the above literature, it can be seen that cloud computing is playing an increasingly critical role in water management and brand marketing strategies. By effectively utilizing cloud computing technology, water companies can not only better manage and evaluate resources but also improve their market competitiveness and achieve sustainable brand growth. Therefore, further research on how cloud computing plays a role in water brand marketing is of great significance for future water management and marketing strategies.^7–9

Cloud computing technology has penetrated into various industries in the digital age, especially in the field of brand marketing. Many scholars have studied cloud computing in brand monitoring, marketing strategy, resource allocation, and other aspects, all of which show that cloud computing provides enterprises with more efficient and flexible marketing strategy tools and platforms. Especially in the bottled water market, the adoption of cloud computing has changed the way brand image is built and consumer choice is made.

The core content of this study is to deeply explore the application and influence of cloud computing technology in water resources brand marketing strategy. This study will first analyze the core characteristics of cloud computing technology and explore how it can adapt to and serve the current water resources market environment. In particular, how cloud computing opens up new opportunities for water brand marketing, such as data-driven decision-making, high computing power, and a more personalized customer experience. Next, through empirical research, this study will deeply compare and evaluate the actual effects of cloud computing in water resource brand marketing strategies, as well as the differences and advantages between it and traditional methods. In addition, potential challenges and issues will be explored to provide strategic advice to water companies.

In theory, this study helps to fill the research gap in the application of cloud computing and water resource brand marketing and provides a new perspective for academic research in related fields. From the practical point of view, it can provide specific operational framework and strategic suggestions for water resource enterprises and help these enterprises to cope with market challenges more efficiently, so as to improve their market competitiveness. In addition, the results of the study can further promote the understanding and adoption of cloud computing technology by more enterprises to maximize its potential value in brand marketing strategies.

Integration of cloud computing and water resources brand marketing strategy

Definition and features of cloud computing

Cloud computing has gradually become the focus of computing technology research in recent years, bringing revolutionary changes to a variety of industrial fields. Before exploring its application in water resource brand marketing strategy, a precise understanding of its definition and core characteristics is indispensable.

Cloud computing is defined as a computing paradigm that makes a wide range of computing resources, such as servers, storage, and applications, available to end users through a network service model. It not only decentralized data storage and processing but also adopted an on-demand distribution model, so that resources can be dynamically configured according to the real-time needs of users.

Cloud computing has several notable features. First, its multi-tenancy features allow different users to share the same set of physical resources, but logically, each user considers himself to be the only resource user. Second, cloud computing has a wide range of network access capabilities, allowing users to access services and data anytime, anywhere on multiple devices. Moreover, the resources of cloud computing can scale rapidly, both to cope with sudden load spikes and to recycle resources to improve efficiency when demand decreases.¹⁰ In addition, cloud services are typically billed on a per-use basis, providing users with a cost-effective computing solution, as shown in Table 1.

Table 1.

Core features of cloud computing.

Feature	Description
Multi-tenancy	Multiple users share the same physical resources
Broad network access	Access services and data anytime, anywhere on multiple devices
Resource elasticity	Resources scale quickly to handle a variety of loads
Pay-as-you-go	Cost-effective billing based on usage

For example, a water resource company successfully used the cloud computing platform to achieve instant analysis and decision support of its marketing data, which greatly improved the market response speed and customer service efficiency. This case fully demonstrates the powerful potential of cloud computing technology in practical applications.

The latest academic achievements show that cloud computing is moving towards a more automated and intelligent direction, such as integrating artificial intelligence and machine learning technologies to further improve resource utilization efficiency and service quality. These advances present unprecedented opportunities for water brand marketing, as well as new challenges, such as data security and privacy protection issues.

Understanding these fundamental attributes is critical for water companies as they provide new perspectives in marketing strategy development, resource allocation, and customer relationship management.

Current situation and importance of water resources market

In the 21st century, the economic significance of water has gone far beyond its ecological and environmental value to become a key asset in the global economy. The size of the global water market continues to grow and is expected to reach hundreds of billions of dollars by 2025. This growth is mainly driven by population growth, accelerating industrialization, and the effects of climate change.

Market data shows that the growing demand for water in industry and agriculture is an important factor driving the growth of the water resources market. At the same time, as the global demand for clean water continues to grow, the market for water treatment and purification technologies is also expanding. In this context, the role of brands in the water resources market is becoming increasingly significant. A strong brand can help enterprises gain advantages in the fierce market competition and improve consumers’ awareness of products and services.¹¹

However, the water market also faces challenges. For example, the increasing demand for sustainable management and conservation of water resources worldwide is forcing companies to consider environmental protection and social responsibility as well as profit. In addition, with the development of digitalization and Internet technologies, consumers are increasingly opting for brands that can provide innovative solutions and efficient services.

The trend analysis of the water resources market indicates that technological innovation, shifts in consumer preferences, and changes in environmental policies will be the key factors shaping the competitive landscape of the market in the coming years. Therefore, water brand marketing strategies need to constantly adapt to these changes and adopt a more flexible and innovative approach to stay ahead of the curve in an increasingly competitive market.

The basic elements of brand marketing strategy

In today’s diverse and competitive business environment, water brand marketing strategy is the key to corporate success. These strategies not only involve promoting products but also more importantly building a deep relationship with consumers and establishing a unique image of the brand in the minds of consumers.

Brand positioning and differentiation

For water brands, it is important to identify their position in the minds of consumers. For example, bottled water brands may differentiate themselves from other brands by emphasizing their natural purity or mineral-rich features. Modern examples include certain brands winning over environmentally conscious consumers by highlighting their eco-friendly and sustainable methods of water harvesting.

Brand identity

An effective brand identity strategy can reinforce the brand image through unique logo, tagline, and packaging design. For example, some well-known water brands promote brand identity through their unique bottle design and logo color.

Brand communication

Use multi-channel strategies (e.g., social media, digital marketing, and traditional advertising) to promote water brands. Examples of innovations include the use of augmented reality (AR) experiences to demonstrate the purity of water sources.

Brand engagement

Consumers are encouraged to participate in brand activities such as social media challenges, customer feedback campaigns, or community support programs to increase brand loyalty. For example, some brands promote their social responsibility image by organizing public welfare activities for clean water.

Brand loyalty

Build long-term consumer relationships by providing high-quality products and excellent customer service. Some water brands enhance customer loyalty by offering customized services and loyalty rewards programs.

Pricing strategy

Pricing strategy should reflect brand positioning and target market. For example, a premium mineral water brand may use a premium pricing strategy, while a mass-market brand may use a competitive pricing strategy.

Distribution channels

Determine how the product will reach the end consumer, including choosing the right retail channel, e-commerce platform, or direct sales strategy.

By combining these elements with modern marketing theories, water brands can effectively enhance their market position and consumer awareness. For example, leveraging cloud computing and big data analytics to understand consumer behavior and preferences can help brands more effectively target and customize their marketing strategies. At the same time, continue to pay attention to changes in market trends and consumer demand to bring sustainable competitive advantages to the brand. Some basic elements of brand marketing in water resources market are shown in Table 2.

Table 2.

Elements of brand marketing in water resources market.

Element	Description
Target market	Identify the main consumer groups of water resources, such as households, industry, and agriculture
Brand positioning	How to establish a unique and differentiated status for water brands in the minds of consumers, such as “pure source,” “ecological friendliness,” and so on
Product differentiation	Highlight the differences between aquatic products and competitors, such as filtration processes and mineral content
Pricing strategy	Pricing decisions, such as based on cost, competition, value, or demand. For example, the price difference between high-end mineral water and daily drinking water
Promotions	Use marketing tools such as advertising, sponsorship, and public relations campaigns to increase awareness of the water brand and attract customers
Distribution channels	Choose how to get the fish to the end consumer, such as supermarkets, retailers, and direct sales

Opportunities and challenges of cloud computing in water brand marketing strategy

As an important result of the development of contemporary technology, cloud computing has brought unprecedented opportunities for water brand marketing strategies accompanied by specific challenges.

Chance

Efficient data analysis

Using the powerful computing power of cloud computing, water resources companies can conduct in-depth analysis of consumer data, so as to more accurately predict market trends and adjust marketing strategies.^12,13 For example, real-time data analysis through cloud platforms can help companies respond quickly to market changes and consumer demands.

Flexible resource management

The elasticity and scalability of cloud computing allow water companies to quickly adapt resources to demand. This means that companies can increase resources at peak times to respond to sudden market demand, while reducing resource use when demand is low to improve cost efficiency.

Enhanced customer engagement

Cloud-powered social media and other digital marketing tools can facilitate real-time interactions with consumers. This not only enhances the connection between brands and consumers but also enhances brand loyalty.¹⁴

Challenge

Data security and privacy

In a cloud computing environment, protecting sensitive data becomes especially important. Water companies must ensure that their cloud service providers have strong security measures in place to prevent data breaches and other security risks.

Technology dependence and maintenance

Relying on cloud computing technology means that companies need to have the corresponding technical capabilities to manage and maintain these systems.¹⁵ In addition, in the event of network outages or problems with service providers, business operations may be adversely affected.

Technology adaptability

The rapid evolution of cloud technology requires companies to constantly adapt and update technology solutions to maintain a competitive edge. For example, with the convergence of artificial intelligence and machine learning in cloud computing, water companies need to master these new technologies to optimize marketing strategies.

In facing these opportunities and challenges, water companies need to develop an integrated strategy that not only takes full advantage of the benefits of cloud computing but also effectively manages and mitigated its potential risks. For example, by establishing a cross-functional technical team to monitor and manage cloud resources, while taking measures to safeguard data security and user privacy.

Comparative analysis of cloud computing and traditional methods in water resources brand marketing strategy

Data collection and preliminary processing

In order to explore the role of cloud computing in water resource brand marketing strategies, this study cooperated with two representative water resource companies before the experiment and collected their monthly data for the past month. Among them, enterprise A adopts traditional marketing strategy, while enterprise B adopts cloud-based marketing strategy. In order to compare and analyze the effects of these two strategies in more depth, this study selected four key indicators: sales, customer growth rate, marketing expenses, and customer satisfaction. Specific data are shown in Table 3.

Table 3.

Overview of data collection.

Index	Enterprise A (unit: 10,000)	Enterprise B (unit: 10,000)
Sales volume	230.45	287.32
Customer growth rate	4.23%	7.89%
Marketing expenses	50.32	43.21
Customer satisfaction	78.32%	85.67%

As shown in Table 3, enterprises that adopt cloud-based marketing strategies have a significant increase in sales, increasing by about 24.67% compared to traditional methods. In terms of customer growth, cloud-based strategies also significantly outperformed traditional strategies, increasing by 3.66 percentage points. And the cloud-based strategy reduced marketing expenses by $71,100. Cloud-based strategies also performed well in terms of customer satisfaction, increasing by 7.35 percentage points. The comparison between sales and marketing expenses of the two is shown in Figure 1.

Figure 1.

Sales versus marketing expenses.

Comparison of the effects of the two strategies

In Section 3.1, this study collects data from four dimensions: sales, customer growth, marketing expenses, and customer satisfaction. Based on these data, this study will now further compare the effectiveness of traditional marketing strategies and cloud-based marketing strategies.

Sales

Cloud-based strategy sales were 2,873,200, significantly higher than traditional strategy sales of 2,304,500. This shows that in the same market environment, cloud computing strategies can help enterprises more effectively promote sales.

Customer growth

In line with sales figures, cloud-based strategies saw 7.89% customer growth compared to 4.23% for traditional strategies. This is further evidence of the advantages of cloud computing strategies in attracting new customers and retaining existing ones.

Marketing expenses

Although the cloud-based strategy performed better in terms of sales and customer growth, its marketing expenses were 432,100 compared to 503,200 for the traditional strategy. This shows that enterprises that adopt a cloud computing strategy have improved the efficiency of their marketing investments.

Customer satisfaction

Customer satisfaction can reflect the quality of products and services, brand image, and the effectiveness of customer relationship management. Customer satisfaction for cloud-based strategies was 85.67%, significantly higher than 78.32% for traditional strategies. This also explains why cloud computing strategies can achieve higher sales and customer growth rates.

Based on the above comparison, the marketing strategy based on cloud computing is superior to the traditional strategy in various key indicators. This is due to the cloud strategy’s ability to better analyze big data, develop personalized market strategies, and adjust strategies in real time to adapt to market changes. At the same time, it also takes advantage of the efficient and flexible characteristics of cloud technology to reduce marketing costs and improve marketing efficiency.

However, this does not mean that traditional strategies are without value. In some market environments and target customer segments, traditional strategies may be more appropriate. Therefore, when choosing a strategy, an enterprise should consider it according to its own situation and the market environment.

Evaluation of differences between cloud computing and traditional strategies

Assessing the differences between cloud computing and traditional strategies requires a deep understanding of the differences in core variables between the two from multiple perspectives. Based on the data in Section 3.1, the following analysis can be performed:

Data-driven versus intuition-driven decision-making

One of the biggest features of cloud computing strategy is its ability to handle big data. This allows companies to make decisions based on actual data, rather than relying solely on experience or intuition. For example, by analyzing large amounts of consumer behavior data, companies can more accurately predict which marketing strategies will be more successful. In traditional strategies, while data is still used, the depth and breadth of analysis may be limited due to technical and resource constraints.

Dynamic response versus static strategy

Marketing strategies based on cloud computing are often more dynamic due to its elasticity and real-time data processing capabilities. This means that businesses can respond quickly to market changes and adjust their strategies in real time. In traditional strategies, policy adjustments can be slower due to a lack of real-time data and rapid response capabilities.

Cost-benefit analysis

From the data in Section 3.1, it can be seen that although the cloud-based strategy has increased in sales and customer growth, its marketing expenses have actually decreased. This shows the advantages of cloud computing strategies in terms of resource utilization efficiency. Traditional strategies require higher costs to achieve similar market results.

Customer relationship deepening

Cloud computing strategies tend to focus more on customer interaction and relationship building. This is due to its ability to provide personalized service and real-time feedback mechanisms. This explains why cloud-based strategies score higher in customer satisfaction.

Taken together, there are significant differences between cloud computing and traditional strategies in terms of data processing, responsiveness, cost effectiveness, and customer relationships. These differences not only affect the execution of the two strategies but also profoundly affect the marketing effect and the overall performance of the enterprise.

Experimental design and method

Experimental design

To assess the impact of cloud computing on water resource brand marketing strategies, a controlled experimental design was used in this study. The purpose of this experiment is to compare the performance of water resource enterprises using traditional marketing strategies and cloud-based strategies on different business indicators.

Purpose: The purpose of this experiment was to evaluate the effectiveness of cloud-based marketing strategies in increasing sales, customer growth, optimizing marketing costs, and improving customer satisfaction compared to traditional marketing strategies.

Experimental group setting

Control group

Traditional water resources brand marketing strategy was adopted.

Experimental group

Water resource brand marketing strategy based on cloud computing was adopted.

Sample selection

This study randomly selected 6 water resources enterprises nationwide, 3 of which served as the control group and the other 3 as the experimental group. The selected sample enterprises are similar in business scale, market share, and historical sales data to ensure the fairness and validity of the experiment. Make sure the two groups are similar in terms of business size, market share, and historical sales data. The average data are shown in Table 4.

Table 4.

Basic information of sample enterprises.

Index	Control mean	Experimental mean
Company size (number of employees)	48.67	50.33
Market share	5.87%	5.93%
Annual sales (10,000)	56.12	57.05

Experiment period

The experiment lasted for 3 months. During this period, both groups of businesses will follow their respective marketing strategies and make no other strategic changes.

Data collection

The following data were collected during and at the end of the experiment: Monthly sales, number of new customers, marketing costs, and customer satisfaction survey results.

Experimental intervention

The experimental group will receive a one-week training in cloud marketing strategies to ensure they can effectively integrate and implement cloud-based marketing strategies. Training will cover the basics of cloud technology, the use of data analytics tools, digital marketing strategies, and more. The control group will continue to perform their normal operations.

Experimental environment

To ensure the authenticity and validity of the experiment, all selected enterprises will operate in a real market environment. During the experiment, changes in the market and industry will be closely monitored to ensure that external factors have minimal influence on the experimental results.

Experimental data collection and processing technology

In order to ensure the accuracy and reliability of the experiment, a series of advanced data collection and processing techniques were adopted in this study. Here is a detailed description of the method.

Data collection

Digital Engagement trackers

To monitor consumers’ online interactions with brands in real time, research deploys digital engagement trackers on companies’ websites and ads. The tracker captures data including click-through rates, frequency of engagement, and time spent online, reflecting the user’s interaction pattern with the brand. The noon period (12:00-13:00) is selected for data recording, as this is the peak period of user online activity, which can more accurately reflect consumer behavior.

The data are shown in Figure 2.

Figure 2.

Digital interactive data sample (time: 12:00-13:00).

Customer relationship management (CRM) systems

CRM systems are used to record all interactions and transaction information between a business and its customers. This study extracted key data from CRM systems, such as customer purchase history, feedback, satisfaction survey results, and purchase frequency. This data not only reflects the purchasing behavior of customers but also reveals their attitudes and satisfaction with the brand.

Sample data are shown in Figure 3.

Figure 3.

Data sample extracted by CRM system.

Extracting customer purchase records, feedback, and satisfaction survey data provides insights into the specific benefits of cloud computing in water brand marketing strategies. It can be observed from Figure 3 that the experimental group using the cloud-based strategy has higher purchase frequency, positive feedback ratio, and satisfaction score than the control group, which provide strong evidence for subsequent analysis.

Preliminary data processing

Data cleansing

The data collected is cleaned to remove duplicates, errors, or incomplete records. This step is to ensure the accuracy and completeness of the data.

Data formatting and transformation

Since raw data may exist in multiple formats, it must be unified for subsequent analysis. This includes converting text data to numerical data, encoding, and classifying it.

Data standardization

Data is standardized to eliminate bias from different metrics and ranges. For example, z-score data such as sales and customer satisfaction to make them comparable in statistical analysis.

Through the above data collection and processing methods, the research can more accurately capture and analyze consumer behavior and enterprise operation data, and provide strong support for evaluating the actual effect of cloud computing in water resource brand marketing strategy.

Preliminary data processing

Data cleaning

For large amounts of data collected, it is first necessary to clean to remove duplicates, errors, or incomplete records.

Data transformation

Raw data exists in multiple formats. For analysis, it is converted into a uniform format and the necessary data conversion or encoding is performed.

Data storage

Cloud database

Considering the very large amount of data, choosing to store data in a cloud database not only provides scalability for the data but also ensures the security of the data.

Data analysis technology

Statistical analysis

Descriptive statistical analysis is carried out on the collected data, including mean, median, and standard difference, to obtain a preliminary understanding of the data. The statistical example of the traditional marketing strategy group is shown in Table 5.

Table 5.

Examples of descriptive statistical analysis.

Index	Mean value	Median	Standard deviation
Click rate	5.88%	5.87%	0.44
Interaction frequency	3.29	3.31	0.35
Online time	13.15	13.21	1.72

Data visualization

Dynamic dashboard

We created a dynamic dashboard in the cloud that shows data changes in real time and visualizes key metrics to help businesses quickly understand how well their marketing strategies are working.

Through this series of advanced technologies, the accuracy, integrity, and reliability of the data are ensured, and a solid foundation is provided for subsequent in-depth analysis and strategy adjustment.

Data validation and in-depth analysis

Two companies in the sample, Company C1 and Company C2, were selected as representative samples for verification. C1 uses traditional marketing strategies. C2 uses a cloud-based marketing strategy.

Using formulas for data verification

This study will use statistical and econometric methods to specifically explore the differences between these two strategies, validated by the return on investment (ROI) of marketing. ROI is a key indicator to measure the effectiveness of marketing campaigns. Its calculation formula is as follows, as shown in formula (1):

R O I = \frac{Net Profit from Marketing Activity}{Marketing Costs} \times 100 %

(1)

Net Profit from Marketing Activity. Net profit from marketing activity. “Investment cost” refers to the total amount spent on the marketing strategy, that is, marketing expenses. Using this formula, you can calculate the ROI percentage, which represents the profitability or efficiency of the investment. The higher the ROI, the more effective the investment is perceived to be. Using the above formula, we can further calculate the return on investment of the two strategies.

For C1 traditional strategy (control group), the sales volume was 2,304,500 yuan, and the marketing expenses were 503,200 yuan. Set a net profit of about 10% of sales, so the net profit is 230,450 yuan.

R O I_{control} = \frac{23.045}{50.32} \times 100 %

For C2 cloud-based strategy (experimental group), sales amounted to 2,873,200 yuan, and marketing expenses amounted to 432,100 yuan. The net profit is also set at about 10% of sales, and the net profit is 287,320 yuan.

R O I_{experimental} = \frac{28.732}{43.21} \times 100 %

According to the above formula, the following ROI results are obtained, as shown in Table 6.

Table 6.

ROI calculation results of sample enterprises.

Firm	ROI (%)
C1 (traditional strategy)	45.8
C2 (based on cloud computing strategy)	66.5

As shown in the table, cloud-based marketing strategies have a higher ROI of 66.5% than 45.8% for traditional strategies. This is further evidence that in water brand marketing, cloud-based strategies can achieve higher ROI with lower marketing expenses while increasing sales.

In order to verify the reliability of the results, in addition to calculating ROI, the following methods were used in this study for in-depth analysis:

Market response analysis

We evaluated the effectiveness of the marketing strategy by comparing the market response of the two companies during the experiment, such as customer feedback and the number of brand mentions.

Cost-benefit analysis

A detailed comparison of marketing inputs and outputs between the two companies to assess the cost-effectiveness of each marketing activity was carried out.

Customer Satisfaction Surveys

We collected data on customer satisfaction using questionnaires and online feedback to assess changes in brand image and customer loyalty.

In summary, cloud-based marketing strategies outperform traditional strategies in terms of ROI, but in order to fully evaluate the effectiveness of the strategy, further analysis of multi-dimensional indicators such as market response, cost effectiveness, and customer satisfaction is needed.

Quantitative analysis of policy effectiveness after implementation

To explore the effectiveness of the strategy after implementation, a quantitative analysis method was used to compare the performance of the cloud-based strategy with the traditional strategy in three dimensions: sales growth, customer growth, and marketing expense effectiveness.

Sales Efficiency Index (SEI) is shown in formula 2:

S a l e s G r o w t h R a t e = \frac{Average of Current 6 Months Sales - Average of Previous 6 Months Sales}{Average of Previous 6 Months Sales} \times 100 %

(2)

The study calculated the six-month average sales growth rate from the experimental and control samples.

The customer growth rate (CGR) is shown in formula 3:

C G R = \frac{Number of Customers at the end of the experiment - Number of Customers at the start of the experiment}{Number of Customers at the start of the experiment} \times 100 %

(3)

The number of new customers added by each enterprise was recorded from the beginning to the end of the experiment period.

Marketing Efficiency Index (MEI) is shown in formula 4:

M E I = \frac{Net Sales Growth Attributed to Marketing}{Marketing Investment}

(4)

where “net sales growth from marketing” refers to the amount of sales growth resulting from marketing activities and “marketing investment” refers to the marketing expenditures made to achieve that sales growth. This value is an average calculated based on the six-month sum of marketing expenses and sales of the two groups in the experiment in Figure 4.

Figure 4.

Quantitative analysis of sample effectiveness after strategy implementation.

The average calculated values of the three indicators are shown in Figure 4.

From the above results, as shown in Figure 4, it can be seen that cloud-based marketing strategies outperform traditional strategies in terms of sales, customer growth, and marketing expense effectiveness. Especially in the sales efficiency, its benefit has increased by 36%, which has brought significant business value to the enterprise.

The deficiency of the experiment and the direction of future improvement

While the study provides insights into cloud-based water brand marketing strategies, it is important to acknowledge some of the shortcomings and consider future directions for improvement.

Although this study made an effort to ensure that the experimental and control groups were similar at the beginning of the experiment, there were certain unaccounted variables that could have had an impact on the experimental results due to the limited sample size. For example, factors such as the geographical location of each firm, the difference of the target customer group, and other parallel marketing strategies of the firm may interfere with the evaluation of the effectiveness of the strategy in this study. The period of this experiment was 3 months, which means that only short-term effects of the strategy can be observed. In the long term, cloud computing strategies have more potential benefits, or there may be some long-term problems that are not reflected in the current study. Although advanced data collection and processing techniques were used in the study, there is still the possibility of data loss or misreading due to technical errors or data transmission problems.

In view of the above shortcomings, the following improvement directions can be adopted in future research: By increasing the number of enterprises participating in the experiment, potential interfering variables can be better controlled, and the experiment period can be extended to one year or more. And conduct in-depth interviews or questionnaires to find out what customers think about cloud-based strategies and how it affects their purchasing decisions. At the technical level, we will continue to explore and introduce more advanced data processing technologies to ensure the accuracy and integrity of data.

Conclusion

By exploring in depth the application of cloud computing in water brand marketing strategies, this study reveals how cloud-based strategies can provide more effective marketing solutions than traditional marketing strategies. The advanced technology of cloud computing not only enhances the enterprise’s ability to understand and react to market dynamics but also improves the efficiency and ROI of marketing activities. Through experimental design, data collection, and analysis, the study demonstrates the benefits of cloud-based strategies in terms of sales growth, customer growth, and marketing expense efficiency. However, the study also pointed out the limitations of the experiment, including the limitations of sample selection and the short duration of the experiment.

Future water brand marketing strategies should take full advantage of cloud computing technologies, especially in the areas of big data analytics and customer relationship management. Enterprises should explore more personalized and automated marketing methods, use cloud technology to improve operational efficiency, and enhance interaction with consumers. At the same time, brands should also focus on data security and privacy protection to ensure that customers’ trust and brand reputation are maintained while utilizing cloud computing technology.

While this study provides valuable insights, there are some limitations. The limited sample size and short experimental period may affect the generality and long-term validity of the study results. Future studies should consider expanding the sample size and extending the trial period to more fully assess the long-term effects of cloud-based marketing strategies. In addition, future research may also consider using more qualitative research methods, such as in-depth interviews or case studies, to gain a deeper understanding of the implementation process and marketing effects.

Statements and declarations

Footnotes

Conflicting interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

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