비축형 대량 구매와 긴급형 소량 구매라는 상반된 고객 니즈를 데이터로 분석하고 이에 최적화된 마케팅 메시지를 도출합니다.
#구매목적분석
긴급 구매(56.0%)와 비정기 보충(49.6%)으로 구분되는 소비 목적 파악함.
#초개인화마케팅
가격 민감도 상승(45.6%)에 대응하여 개인별 최적 할인 시점 제안이 유효함.
#데이터기반소구
30대의 온라인 전환 데이터와 여성의 소량 구매 패턴을 결합한 타겟팅 강화.
#리텐션확보전략
배송 만족도(51.5%)가 높은 채널을 중심으로 습관적 구매를 유도하는 마케팅.
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.
