Sprocket Launches 'AI Analysis Trial Package' to Solve Marketers' Data Analysis Challenges
Sprocket Inc. has launched the 'AI Analysis Trial Package', enabling marketers to perform website data analysis using natural language. It solves the lack of analyst resources by providing high-level analysis and actionable proposals from 200,000 JPY per month.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 19:00
- 🔍 Collected: April 2, 2026 at 14:31
- 🤖 AI Analyzed: April 21, 2026 at 05:34 (447h 2m after Collected)
Sprocket Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Koji Fukada), provider of a CX improvement platform, has begun offering the "AI Analysis Trial Package," a data analysis service targeting websites. By combining the fixed-point check dashboard "Sprocket Insights" and the "Data Analysis Agent" capable of AI-driven exploration and deep diving, it provides an environment where even frontline staff without analytical skills can execute advanced analysis and receive policy proposals simply by asking questions in natural language.
## The Problem of Lacking Analysis Resources and Skills
Organizations want to become data-driven. However, considering the hiring of a dedicated analyst as a means to achieve this requires an investment of approximately 6.5 to 9.5 million yen over six months, combining recruitment fees, salaries, and training costs. Moreover, the market is depleted of analyst talent, making it continuously difficult to secure battle-ready personnel.
On the other hand, even if Google Analytics 4 or general-purpose AI tools are introduced, frontline staff cannot break free from situations like "I don't know where to start looking" or "We have the tool, but we end up not using it." For staff without analytical skills to obtain meaningful insights, they need the skill to form hypotheses and give precise instructions to the AI, which has become the biggest barrier.
## Three Things Changed by the 'AI Analysis Trial Package'
Sprocket's AI Analysis Trial Package changes this structure. It provides an analysis environment that frontline staff can start using right away, without the need for hiring or skill acquisition, starting from 200,000 yen per month. Upon introduction, three changes occur in the field and the organization.
### No More Waiting for Analysis Requests
Just by typing "Tell me the effect of last month's campaign," the AI creates an analysis plan, verifies the data, and outputs strategy proposals. What used to be "It takes two weeks if we ask the analysis team" turns into same-day results.
### Adding 'Why' to Reports for Superiors
It outputs not just the fact that "Sales dropped," but also the set of "Why they dropped" and "What to do next." It is designed to run stable analysis from the same perspective every month, independent of the staff member's skill level.
### Starting Team Data Utilization Without Hiring Analysts
Even staff with no analysis experience can trigger analysis and generate strategy proposals simply by entering a question. The organization's data utilization begins without waiting for skills to develop.
The two products that realize this are as follows:
Sprocket Insights: A fixed-point checking tool that allows you to check the metrics you should follow every month on the same screen and from the same perspective. Equipped with contribution analysis, behavioral path analysis, N1 analysis, and behavioral cluster analysis, the AI automatically presents interpretations and improvement ideas.
Data Analysis Agent: An AI agent that automatically executes data analysis and explains the results simply by receiving instructions in everyday language such as "Tell me the effect of last month's campaign." SQL knowledge is not required.
Detect anomalies with Sprocket Insights, and identify causes with the Data Analysis Agent. Through this back-and-forth, the process from analysis to policy decision is completed in a single workflow.
## The Problem of Lacking Analysis Resources and Skills
Organizations want to become data-driven. However, considering the hiring of a dedicated analyst as a means to achieve this requires an investment of approximately 6.5 to 9.5 million yen over six months, combining recruitment fees, salaries, and training costs. Moreover, the market is depleted of analyst talent, making it continuously difficult to secure battle-ready personnel.
On the other hand, even if Google Analytics 4 or general-purpose AI tools are introduced, frontline staff cannot break free from situations like "I don't know where to start looking" or "We have the tool, but we end up not using it." For staff without analytical skills to obtain meaningful insights, they need the skill to form hypotheses and give precise instructions to the AI, which has become the biggest barrier.
## Three Things Changed by the 'AI Analysis Trial Package'
Sprocket's AI Analysis Trial Package changes this structure. It provides an analysis environment that frontline staff can start using right away, without the need for hiring or skill acquisition, starting from 200,000 yen per month. Upon introduction, three changes occur in the field and the organization.
### No More Waiting for Analysis Requests
Just by typing "Tell me the effect of last month's campaign," the AI creates an analysis plan, verifies the data, and outputs strategy proposals. What used to be "It takes two weeks if we ask the analysis team" turns into same-day results.
### Adding 'Why' to Reports for Superiors
It outputs not just the fact that "Sales dropped," but also the set of "Why they dropped" and "What to do next." It is designed to run stable analysis from the same perspective every month, independent of the staff member's skill level.
### Starting Team Data Utilization Without Hiring Analysts
Even staff with no analysis experience can trigger analysis and generate strategy proposals simply by entering a question. The organization's data utilization begins without waiting for skills to develop.
The two products that realize this are as follows:
Sprocket Insights: A fixed-point checking tool that allows you to check the metrics you should follow every month on the same screen and from the same perspective. Equipped with contribution analysis, behavioral path analysis, N1 analysis, and behavioral cluster analysis, the AI automatically presents interpretations and improvement ideas.
Data Analysis Agent: An AI agent that automatically executes data analysis and explains the results simply by receiving instructions in everyday language such as "Tell me the effect of last month's campaign." SQL knowledge is not required.
Detect anomalies with Sprocket Insights, and identify causes with the Data Analysis Agent. Through this back-and-forth, the process from analysis to policy decision is completed in a single workflow.