【Pricing Example】Foreign-affiliated general consulting firm collects data from Amazon for market research

Client

Our client for this case study is an international general consulting firm operating globally. They provide consulting services based on specialized knowledge and advanced analytical capabilities to clients across various industries, supporting problem-solving and business growth. Emphasizing data-driven strategy development, accurate data collection and analysis are indispensable for leading their clients to success. Especially for proposals to automotive-related customers, accurate and up-to-date market data is essential, requiring information gathering from a wide range of sales channels, including e-commerce.

Objective

The objective of this project was to collect tire information. The client aimed to strengthen their customer proposals by collecting tire sales data and product information from multiple websites (a total of 10 sites), including Amazon. To propose the most suitable tires for customer needs, it is crucial to understand overall market trends, analyze competitors’ situations, and compare prices and inventory status. Collecting data from multiple sites enables more comprehensive market analysis and helps in strategic planning to enhance customer satisfaction. High-quality proposals also build client trust and are essential for the success of their consulting business. Data from major e-commerce sites like Amazon, in particular, serves as a valuable source for grasping market trends.

Challenges Faced

1. Concerns about Data Collection Costs from Multiple Sites

The client was considering collecting tire data from multiple sites but anticipated that manual data acquisition from as many as 10 websites, including Amazon, would be extremely time-consuming and labor-intensive, placing a heavy burden on their staff. Moreover, manually collecting data from multiple sites made it difficult to maintain information consistency, and data accuracy management was also a concern. Addressing varying data formats and notations across different sites required advanced skills and experience, and there were concerns about potential human errors. These concerns were already recognized as major challenges before the project started. The client felt the need to outsource to a specialized vendor to minimize data collection costs and proceed with the project efficiently. Especially for sites with a large number of products like Amazon, manual data collection was not realistic.

2. High Data Acquisition Costs from Multiple Sites

Acquiring data from a total of 10 sites was also a significant cost concern. If data were purchased individually from each site, the costs would not only be high but also require additional work such as unifying and integrating data formats, leading to an increase in overall project costs. It was crucial to keep data collection costs down to efficiently acquire data within a limited budget and improve the quality of customer proposals. Increased costs could compromise project profitability, posing a major risk factor. Therefore, the client carefully estimated data collection costs and sought methods to maximize cost-effectiveness. In particular, there was concern that major e-commerce sites like Amazon might incur high data provision fees, making it difficult to stay within budget.

Impact of Problem Resolution

1. Cost Reduction

By automating data collection, the client successfully controlled the initially feared cost increase, achieving significant cost reductions. Utilizing scraping technology allowed them to minimize expenses such as labor costs and data purchase fees. The saved costs were reallocated to other important projects and investments for improving customer service, greatly contributing to the client’s business growth. Cost reduction is a crucial factor for enhancing corporate competitiveness. Especially in a global competitive environment, cost-efficient business operations are indispensable. Automating data collection is a highly effective way to achieve cost savings.

2. Reduction in Human Error

The introduction of scraping technology minimized manual data entry errors. Improved data accuracy enhanced the reliability of analysis results, enabling more precise customer proposals. Data accuracy builds customer trust and is an indispensable element for business success. Providing high-quality service leads to increased customer satisfaction and long-term relationship building. Particularly in the consulting industry, client trust significantly influences business success, making data accuracy highly important. Data accuracy also contributes to improving the precision of AI-driven analysis.

3. Focus on Customer Proposal Operations

By reducing the time and effort spent on data collection, consultants could focus on their primary task of developing customer proposals. Deeply understanding customer needs and providing optimal solutions led to improved customer satisfaction and contributed to the client’s business growth. Streamlining ancillary tasks like data collection is crucial for maximizing consultants’ expertise and experience. Efficient management of ancillary tasks significantly contributes to productivity improvement and strengthens corporate competitiveness. Reducing time and effort also helps improve employee work-life balance, contributing to a more conducive work environment. Enhanced employee satisfaction, in turn, contributes to corporate growth.

Pricing

The cost for this data collection was $267 USD (approx. 40,000 JPY). Considering that 5,303 items of data were acquired, this is a highly cost-effective service. Services with high cost-effectiveness strongly support the client’s business. Especially when operating on a limited budget, cost-effectiveness is a very critical factor. We aim to maximize cost-effectiveness by proposing optimal plans tailored to the client’s budget. Improving cost-effectiveness directly leads to increased corporate profits.

Data Content

The collected data comprehensively covers information necessary for customer proposals, including: URL, Manufacturer, Brand, Size, Price, and Availability. All this information is the latest data acquired from Amazon. By consistently providing customer proposals based on the latest information, the client can enhance customer satisfaction and ensure business success. Information freshness is an indispensable element for business success. We support the client’s business success by always providing the latest information. Accurate information also builds customer trust and helps in long-term relationship building. In particular, as prices and inventory status constantly fluctuate, proposals based on the latest information are crucial.

Number of Records

A total of 5,303 items of data were collected. This volume of data allows the client to thoroughly grasp the current state of the tire market and make optimal proposals tailored to customer needs. Data-driven proposals significantly contribute to building customer trust and achieving business success. Data quantity is as important as quality. A large amount of data enables more detailed analysis and increases the potential for discovering new insights. We support improving the accuracy of business decision-making by promptly providing large volumes of data to our clients. Comprehensive data coverage is also very important for understanding overall market trends. Particularly, data from major e-commerce sites like Amazon is extremely useful for understanding general market trends.

Delivery Time

The delivery time was 5 business days from the request. This rapid delivery enabled the client to make timely customer proposals. Prompt response is crucial for enhancing customer satisfaction and building trust with the client. Speed in response supports business success. Quick delivery is important for saving the client’s valuable time and ensuring they don’t miss business opportunities. We always strive to provide prompt and courteous service to help our clients succeed in their business. Fast delivery accelerates the client’s business success.

Amazon Sample Data (Quoted from Source)

The delivered data is comprehensive, covering URL, Manufacturer, Brand, Size, Price, and Availability, which is highly beneficial for detailed analysis. The client noted: “Having all the necessary information readily available enabled us to conduct market analysis and competitive research smoothly.”

If you are considering streamlining your market research, please feel free to contact us first.

We provide flexible data collection services tailored to meet our customers’ diverse needs. Like this case study, we can accommodate various requests, including creating specialized lists for specific industries or companies, scraping data from other websites, and customizing data formats. If you face challenges with data collection for market research, please do not hesitate to contact us.

If you are struggling with the question of “Where should I start?”, please feel free to consult with us. Our specialized staff will carefully listen to your situation and propose the optimal solution. Why not automate your data collection and focus on more strategic tasks?

Inquiry