Announcement of the Launch of 'AI Appo for B2B Test Marketing'
Sales Process Co., Ltd. has launched 'AI Appo for B2B Test Marketing', a service that uses AI and HTML emails to gather real sales data and scientifically discover winning patterns for B2B sales without relying on intuition.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 19:00
- 🔍 Collected: April 2, 2026 at 14:02
- 🤖 AI Analyzed: April 21, 2026 at 06:09 (448h 6m after Collected)
Sales Process Co., Ltd. (Location: Shibuya-ku, Tokyo; Representative Director: Yohei Kajita) has started offering the test marketing service for B2B companies, "AI Appo for B2B Test Marketing" (https://btob-test-marketing.com/).
It is a service that breaks away from sales activities relying on hypotheses and scientifically discovers the "selling industries, appeals, and offers" based on actual sales data.
[Background and Thoughts on Introduction]
In new sales for B2B companies, it is common to start sales activities based on hypotheses such as "This should sell to this industry" or "This appeal should resonate."
However, if the hypothesis is wrong, it tends to repeat the process of changing measures and formulating another hypothesis, risking the deployment of a new service that the company's fate depends on based on luck.
As our company has been involved in supporting the sales of many B2B companies, we have seen numerous challenges where "the quality of the service is high, but results are not achieved because they don't know how to sell it."
The starting point for developing this service is our belief that more companies should be able to achieve results if they take the right approach based on data, rather than effort or guts.
To solve the limitations of such hypothesis-based sales, our company has launched a B2B test marketing service that acquires data through actual sales activities and scientifically discovers "selling" patterns.
[Service Details]
"AI Appo for B2B Test Marketing" is a sales approach service utilizing AI x HTML emails.
While conducting actual sales activities, it acquires and analyzes the following data:
- Open rate
- Click rate
- Reply rate
- Response rate by industry
It derives the optimal solution for sales through the analysis of "actual sales data," not questionnaires.
[Types of Tests]
1. Industry Test: Testing by changing the industry of the target company list to identify the industries that are easiest to get a response from.
2. Appeal Test: Conducting A/B tests with emails having different angles, such as "Sales increase" and "Sales efficiency improvement," to identify the message with the highest response.
3. Offer Test: Conducting tests with multiple offers, such as "Explanation of free trial" instead of "Service explanation," to find the offer most likely to lead to a business meeting.
4. Other Tests: Also supports tests verifying the possibilities of new sales channels, such as agency development and partnership development.
[Test Marketing Implementation Case Study]
■ Tangible Products (Healthy Office Furniture)
Before conducting test marketing, they planned to develop end-users such as manufacturing and hotels, but upon testing, the response was poor. By changing course to develop retail stores and office design companies, they achieved success.
It is a service that breaks away from sales activities relying on hypotheses and scientifically discovers the "selling industries, appeals, and offers" based on actual sales data.
[Background and Thoughts on Introduction]
In new sales for B2B companies, it is common to start sales activities based on hypotheses such as "This should sell to this industry" or "This appeal should resonate."
However, if the hypothesis is wrong, it tends to repeat the process of changing measures and formulating another hypothesis, risking the deployment of a new service that the company's fate depends on based on luck.
As our company has been involved in supporting the sales of many B2B companies, we have seen numerous challenges where "the quality of the service is high, but results are not achieved because they don't know how to sell it."
The starting point for developing this service is our belief that more companies should be able to achieve results if they take the right approach based on data, rather than effort or guts.
To solve the limitations of such hypothesis-based sales, our company has launched a B2B test marketing service that acquires data through actual sales activities and scientifically discovers "selling" patterns.
[Service Details]
"AI Appo for B2B Test Marketing" is a sales approach service utilizing AI x HTML emails.
While conducting actual sales activities, it acquires and analyzes the following data:
- Open rate
- Click rate
- Reply rate
- Response rate by industry
It derives the optimal solution for sales through the analysis of "actual sales data," not questionnaires.
[Types of Tests]
1. Industry Test: Testing by changing the industry of the target company list to identify the industries that are easiest to get a response from.
2. Appeal Test: Conducting A/B tests with emails having different angles, such as "Sales increase" and "Sales efficiency improvement," to identify the message with the highest response.
3. Offer Test: Conducting tests with multiple offers, such as "Explanation of free trial" instead of "Service explanation," to find the offer most likely to lead to a business meeting.
4. Other Tests: Also supports tests verifying the possibilities of new sales channels, such as agency development and partnership development.
[Test Marketing Implementation Case Study]
■ Tangible Products (Healthy Office Furniture)
Before conducting test marketing, they planned to develop end-users such as manufacturing and hotels, but upon testing, the response was poor. By changing course to develop retail stores and office design companies, they achieved success.