Tetemarche Launches 'Follower Research' to Visualize Relationships with SNS Followers
Tetemarche has launched a new B2B service, 'Follower Research,' which analyzes and visualizes the underlying structure of the relationship between a company's SNS account and its followers, moving beyond basic metrics.
📋 Article Processing Timeline
- 📰 Published: April 10, 2026 at 19:30
- 🔍 Collected: April 11, 2026 at 00:27 (4h 57m after Published)
- 🤖 AI Analyzed: April 20, 2026 at 02:03 (217h 36m after Collected)
Tetemarche Inc. (Headquarters: Meguro-ku, Tokyo; Representative Director: Daisuke Ueda), which develops a business centered on SNS marketing support for companies, has begun offering "Follower Research," which visualizes the relationship between corporate SNS accounts and consumers through "structure."
In recent years, while SNS has become an important customer touchpoint for companies, a challenge has emerged: metrics such as follower count and engagement alone are insufficient to fully grasp brand value and the relationship with consumers.
By combining quantitative surveys of followers with a proprietary database, this research reveals "what kind of value the brand is supported for" and "through what structure information spreads," enabling a relative understanding of the account's current position.
## Background
### The "Opacity of Value" in SNS
In SNS operations, while metrics like follower count, impressions, and engagement can indicate "how much reaction there was," the contents of the relationship, such as:
- Why that reaction occurred
- As what kind of value it is received
- What kind of relationship is being formed
remain unvisualized.
As a result, many companies continue to operate their SNS accounts without defining their value or role.
## What is Follower Research?
Follower Research is a survey to understand the relationship between SNS accounts and consumers through "structure."
By matching quantitative surveys of followers with a proprietary database built on data from about 400 accounts and 2,000 individuals, it relatively visualizes within the industry:
- The target being supported
- The value being supported
- How information spreads (PGC / UGC)
This clarifies the account's value and position.
## Three Structures Visualized by this Research
- Account Diagnosis: Grasp the relationship with followers and the current position.
- Information Transmission Map: Visualize whether information is spreading originating from "official posts (PGC)" or "UGC".
(Text ends here)
In recent years, while SNS has become an important customer touchpoint for companies, a challenge has emerged: metrics such as follower count and engagement alone are insufficient to fully grasp brand value and the relationship with consumers.
By combining quantitative surveys of followers with a proprietary database, this research reveals "what kind of value the brand is supported for" and "through what structure information spreads," enabling a relative understanding of the account's current position.
## Background
### The "Opacity of Value" in SNS
In SNS operations, while metrics like follower count, impressions, and engagement can indicate "how much reaction there was," the contents of the relationship, such as:
- Why that reaction occurred
- As what kind of value it is received
- What kind of relationship is being formed
remain unvisualized.
As a result, many companies continue to operate their SNS accounts without defining their value or role.
## What is Follower Research?
Follower Research is a survey to understand the relationship between SNS accounts and consumers through "structure."
By matching quantitative surveys of followers with a proprietary database built on data from about 400 accounts and 2,000 individuals, it relatively visualizes within the industry:
- The target being supported
- The value being supported
- How information spreads (PGC / UGC)
This clarifies the account's value and position.
## Three Structures Visualized by this Research
- Account Diagnosis: Grasp the relationship with followers and the current position.
- Information Transmission Map: Visualize whether information is spreading originating from "official posts (PGC)" or "UGC".
(Text ends here)