【Pricing Example】Telecommunications carrier collects data from Homes for the purpose of gathering “company property and corporate information for internal sales use.”

In corporate sales activities, the quality and quantity of target lists are crucial factors for success. Especially for companies offering region-specific services, efficiently collecting the latest information within their jurisdiction forms the foundation of their sales strategy. However, for companies needing to continuously gather specific information from particular sites for a specific **purpose**, manual collection often proves to be impractical.

This case study introduces a telecommunications carrier that faced just such a challenge and successfully achieved their clear **purpose** of “acquiring property and company information for their own sales activities” by utilizing our data collection service. We present their experience, in their own words, of how efficiently collecting property information from the real estate information site “Homes” for desired regions led to an improvement in the quality of their sales activities.

This content should be useful for companies struggling with property information collection, especially those looking for efficient data collection methods for purposes such as sales list creation. Please read to the end.

Challenges Faced by the Client

The telecommunications carrier that requested our services had a crucial **purpose** of acquiring new customers within their service area and was actively engaged in sales activities. They particularly focused on approaching apartment complexes and tenant buildings. However, they faced significant challenges regarding information collection for this purpose, as outlined below:

Challenge 1: Desire for comprehensive and efficient understanding of real estate information in their jurisdiction

“Naturally, our services can only be provided to properties within our jurisdiction. Therefore, to approach properties for sales **purposes**, we first needed to accurately understand what types of properties existed in that area and which real estate companies were involved. However, as the target area spanned a wide range, **comprehensively collecting all information manually was not realistic**. We were constantly experimenting with which sites to look at and what granularity of information was needed. To achieve this **purpose**, we felt that a more systematic approach to information gathering was necessary.”

Challenge 2: Traditional manual collection was inefficient and placed a heavy burden on staff

“Previously, **sales representatives and assistants used their spare time** to individually check real estate information sites (such as Homes) and **manually transcribe target information** (property name, room number, location, listing company, transaction type, current status, move-in availability, information publication date, information update date, next update schedule) into lists. However, this task was extremely time-consuming and put pressure on other important tasks. Furthermore, as it was a human task, **input errors and information oversights were inevitable**, and we felt there were issues with the accuracy of the lists. The urgent demand from the field was, ‘If we could streamline this task, we could dedicate more time to actual sales activities.’ Overcoming this inefficient state was also one of our **purposes** for moving to the next step.”

Challenge 3: High frequency of updated information needed for sales purposes

“Real estate information changes daily. New properties are listed, recruitment ends, and listed information (rent, move-in availability, etc.) is updated. When used for sales **purposes**, approaching customers based on old information not only causes inconvenience but also significantly reduces sales efficiency. Therefore, we wanted to **maintain the freshness of information as much as possible**; ideally, we wanted to update to the latest state every few days. However, manual updating at that frequency was impossible, and information obsolescence was unavoidable. Consistently conducting sales activities based on the latest information was a critical **purpose** for us.”

Data Collection Implementation

After a detailed consultation regarding these challenges and the clear **purpose** of “**acquiring property and company information for our own sales activities**,” we proposed a data collection service targeting the real estate information portal site “Homes.”

Specifically, we focused on the following points for collection design:

• Target Site Specification: We focused on “Homes,” which the client considered particularly important.
• Region and Condition Specification: We specified municipalities matching the client’s jurisdiction, excluding unnecessary information.
• Definition of Required Items: We clearly defined the information aligned with the client’s sales **purpose** (property name, room number, location, listing company, transaction type, current status, move-in availability, information publication date, information update date, next update schedule).
• Setting Collection Frequency: In response to the request for maintaining information freshness, we set up automatic updates with a high frequency of “once every 3 days.”

Based on these requirements, our staff developed and configured the collection program, and initiated data collection to achieve the client’s **purpose**. The initial month’s data collection amounted to approximately 50,000 items, a quantity that would have been impossible to achieve manually.

Post-Implementation Effects

After the implementation of our data collection service, the telecommunications carrier provided the following positive feedback on the concrete effects that led to resolving their challenges and achieving their **purpose**:

Effect 1: Realization of Efficient and Accurate Information Collection

“The information collection task, which previously consumed an enormous amount of time, has been fully automated, dramatically reducing the burden on our staff. Above all, since the system accurately collects data, transcription errors and oversights that were common with manual work have been eliminated, and the accuracy of our lists has significantly improved. Being able to formulate sales strategies based on accurate information is a major step forward. **We are freed from inefficient tasks and now have an environment where we can concentrate on achieving our purpose**.”

Effect 2: Ability to Focus on Core Business Activities

“By being freed from the mundane task of information gathering, our sales representatives can now focus their time and energy on higher-value ‘core tasks’ such as refining collected lists, considering effective approach methods for target customers, and creating proposal documents. This has improved the overall quality of our sales activities and accelerated our efforts towards our **purpose** of new customer acquisition. We feel this is more valuable than mere efficiency.”

Effect 3: Always-up-to-date information for approaches

“Previously, outdated information was sometimes a bottleneck, but with data automatically updated every three days, we can now conduct sales activities based on information that is always close to the latest. This has significantly reduced wasteful approaches like ‘recruitment has already ended’ or ‘information has changed,’ and sales efficiency has visibly improved. The freshness of information is a lifeline for achieving our sales **purpose**, so we are particularly satisfied with this point.”

Details of Collected Data Content

The specific data items collected from the real estate information site “Homes” in this case are as follows:

• Site: Homes
• Region: [Specific Region] (Client’s jurisdiction)
• Number of records: Approx. 50,000 items (at initial collection)
• Collected items:
  • Property Name
  • Room Number
  • Location
  • Listing Company
  • Transaction Type
  • Current Status
  • Move-in Availability
  • Information Publication Date
  • Information Update Date
  • Next Update Schedule

By combining these items, the client is utilizing them for creating lists tailored to their sales **purpose** and formulating effective approach strategies.

Pricing and Delivery Time

The terms for the data collection service in this case are as follows:

• Pricing: $400 USD per month (approx. 60,000 JPY)
• Delivery time for initial data: Approx. 10 business days

We will propose the optimal plan tailored to your **purpose**, budget, and the type and volume of data required.

Collected Data Sample (Image)

Below is an image (partial excerpt, conceptual data) of the actual collected data. Delivery in various formats is possible according to your request.

Summary

This case study presented how a telecommunications carrier resolved their challenge of “efficiently and frequently collecting real estate information in their jurisdiction for sales **purposes**” using our data collection service from Homes.

By eliminating the inefficiency and accuracy issues of manual information gathering and enabling sales activities based on consistently fresh information, **the client was able to concentrate resources on their core business and advance towards achieving their purpose**.

Are you looking to efficiently collect information that aligns with your company’s **purpose** from specific websites, such as the real estate information site “Homes”?

• Need property information for a specific region for sales list creation **purposes**
• Want to regularly collect product information from specific sites for competitive research **purposes**
• Aim to gather information from review sites for market analysis **purposes**

If your company has the above **purposes**, please consider our data collection service. **We will propose the optimal collection plan tailored to your challenges and purpose**.

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