배송 속도, 가격 혜택, 품질 신뢰도라는 세 가지 축을 중심으로 주요 온라인 유통 채널의 성과와 향후 전망을 진단합니다.
#이커머스3강체제
쿠팡, 네이버, 컬리가 각각 80%, 65%, 50%의 경험률로 시장을 삼분하고 있음.
#쿠팡의성장세
배송 강점을 무기로 46.8%의 이용자 증가를 기록하며 시장 확장을 주도함.
#플랫폼차별화
쿠팡은 속도, 네이버는 비교, 컬리는 품질이라는 각자의 생존 공식을 확보함.
#경험률과이용률
경험률 80.2%인 쿠팡이 실제 주 이용률에서도 타 플랫폼을 크게 앞지름.
100% 'real' data-based
Opensurvey uses only 'real consumer response data' directly asked from a nationwide panel of 630,000 people.
'No Hallucination' architecture
The AI is designed to prevent the 'creation' of data and to analyze and summarize only within 'verified original data'.
Verified Trust
Based on the industry's number one consumer data trusted by over 1,000 companies.
FAQ
What is different about this insight compared to ChatGPT?
General-purpose AIs like ChatGPT learn from the vast array of unspecified information on the internet to create 'plausible' answers, but often generate false information known as 'hallucinations'. OpenSurvey AI is different. We limit our analysis to only the 'original data of real consumer responses' that we have collected directly. Therefore, AI cannot 'make up' responses, and it provides insights based solely on 100% data-driven 'facts'.
How reliable is this data?
The data used in this insight is based on responses collected from a verified panel of 630,000 people nationwide by Opensurvey. Opensurvey secures original data with a reliability level of 95% through industry-leading panel management and data verification systems. More than 1,000 companies, including Samsung, Hyundai, and LG, utilize Opensurvey data for important decision-making.
Can I use the generated insights directly in the business?
Yes, it is immediately available for use. It is designed to be used as supporting materials for practical decision-making, such as establishing new campaign strategies, deriving UX improvements by PMs, and market analysis by the strategic planning team. The generated insights are based on actual consumer data, so you can use them as reliable evidence in meeting materials, proposals, and strategic documents.


