InsightTech Co., Ltd.
Insight Tech, a dissatisfaction collection center, releases a trend report summarizing complaints about “gummy gum”
Needs unraveled from dissatisfaction trends identified with
“Dissatisfaction Finder”
……
Insight Tech Co., Ltd. (Shinjuku-ku, Tokyo, Representative: Tomohiro Ito, hereinafter referred to as Insight Tech) uses the “Complaint Finder” to analyze and consider complaints about gummies and gums received at the “Complaint Purchase Center” operated by the company. A report has been published.
Approximately 20,000 complaints about sweets are posted to the Complaints Purchase Center every year.
Using the text analysis function of “Complaint Finder”, we looked at the original text of complaints related to characteristic keywords and sorted out the characteristics of the concerns and dissatisfaction that people had about gummy gum.
We hope that this book will be useful in understanding the concerns that consumers face in their daily lives.
In order to realize our vision of “Creating a world where voices are heard,” Insight Tech Inc. listens to the complaints of consumers and, through this communication, contributes to the simultaneous
realization of rich lives and strong business.
▼Click here to download the report (you can download it for free) https://insight-tech.co.jp/downloads/24_gummy-and-gum
■What is the Dissatisfaction Purchase Center?
(https://fumankaitori.com/) The Dissatisfaction Purchase Center (patented) “Buys your dissatisfaction in order to improve the company’s products and services, and society. We started our service on March 18, 2015 based on the concept of “We will deliver the “hints” hidden in the frustrations of people to companies and society.” We collect complaints from consumers through web services and smartphone apps, and currently have collected over 44 million complaints from over 740,000 members. ■What is Dissatisfaction Finder? (https://fuman-finder.com/) “Dissatisfaction Finder” allows you to search and extract data that matches the theme or issue from the dissatisfaction big data received at the Dissatisfaction Purchase Center. This is a completely new data and AI-based SaaS that enables multifaceted analysis at high speed. Using the text analysis AI “Itas” using state-of-the-art natural language processing technology and our unique framework, we uncover consumers’ true feelings and issues and opportunities that should be targeted from dissatisfaction big data. No knowledge of data analysis or complicated operations are required. You can also register “dictionaries” according to themes and issues, and use these to quickly obtain analysis results, increasing the accuracy and speed of your work at the same time. ■Survey overview
Analysis period
2023/8/1～2024/7/31
Investigation agency (investigation subject)
Independent investigation
Survey target
Posts that fall under the sweets-related subcategory among the “food” category dissatisfaction submitted to the “Dissatisfaction Purchase Center” (of which, this time we will focus on the gummy/gum category)
Number of valid answers
19,903 items
Research method
Dissatisfaction (free responses) in the survey target categories posted on the “Dissatisfaction Purchase Center” were extracted and analyzed using the “Dissatisfaction Finder.”
table of contents
1. Purpose of this report
2. Trending keywords for gummy/gum dissatisfaction
3. Searching for characteristic dissatisfaction using a priority issue map 4. Search for characteristic dissatisfaction using priority issue diagram Summary
5. Information on using dissatisfaction data
Survey results
We performed text analysis on the analysis population, picked up the top 20 dissatisfied keywords for each gummy/gum category, and focused on keywords that had a gap of 30 or more positions in the rankings of each category.
Characteristic keywords for gummy bears include “texture,” “sourness,” “elasticity,” “capacity,” “hands,” “sugar,” “bag,” and “flavor.”
Keywords characteristic of gum include “(wrapping) paper,” “xylitol (gum),” “bottled gum,” “run out,” “stomach,” “artificial sweetener,” “gum flavor,” and “aspartame.”
Using the keywords that appeared as a reference, we created a custom dictionary that summarizes dissatisfied factors regarding gummies and gum. We applied it to each data set of gummy and gum, and performed quantitative aggregation.
For gummies, the most common factors are “texture/elasticity,” “hard/soft,” “quantity/volume,” and “taste/taste,” while for gum, “raw materials/additives,” “packaging/container,” and
“teeth/mouth/jaw/throat” are the most common. This was the result.
Extract the top dissatisfaction items for each and create a word cloud. The main complaints we picked up are as follows.
In the report, opinions are plotted for each item using our
proprietary framework “Priority Issue Diagram” that identifies issues that should be prioritized based on the “quantity” and “quality (impact on usage/purchase)” of opinions. We will identify potential issues while checking the clusters.
Details of specific complaints in each category can be found within the report. Please feel free to download and use it.
▼Click here for a list of past trend reports (note from Insight Tech CEO Tomohiro Ito)
https://note.com/tomohiroito/n/n25a34a1112ad
■Company Profile Trade name: Insight Tech Co., Ltd.
(http://insight-tech.co.jp) Established: June 19, 2012 Address: Shinjuku Island Tower, 6-5-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-1333 Business content: Marketing research and report creation Data analysis using artificial intelligence such as natural language processing and machine learning Contract company promotion and branding support Operation of dissatisfaction purchase center