국내 최고 유통그룹 이랜드리테일이 운영하는 이랜드몰은 패션, 리빙, 레저, 외식, 라이프스타일 전반을 폭넓게 아우르는 자사 온라인몰로써 국내외 다양한 인기 브랜드를 판매합니다.
이랜드몰은 인사이더의 솔루션 도입으로 브랜드별로 분리된 마케팅 캠페인을 단일 통합 플랫폼에서 유연하고 신속하게 관리 할 수 있게 되었습니다. 특히, AI 기반 예측 세그먼트(Predictive Audience)를 활용한 개인 맞춤형 상품추천 및 메세징으로 평균 객단가(AOV) 최적화와 매출 증대를 실현할 수 있었습니다.
이랜드몰은 총 결제액이 10만원 미만인 고객들을 대상으로 최종 결제금액이 10만원 이상이면 10% 할인쿠폰을 제공하는 이벤트를 진행했습니다. 이때 장바구니 페이지에 프로그래스 바를 노출함으로써 구매 진척률과 혜택까지 남은 금액을 시각화하여 목표까지 도달하고자 하는 소비심리를 자극했습니다. 이를 통해 이랜드몰은 고객 1인당 평균 객단가(AOV)를 58.7% 상승 시킬 수 있었습니다. 즉 장바구니 페이지에서 혜택 메세지가 담긴 프로그래스 바 적용으로 기존 4만원대였던 고객들의 최종 결제금액을 6만원대까지 끌어올리는 효과를 볼 수 있었습니다.
이랜드몰은 AI 기반 예측 세그먼트 데이터를 근거로 ‘할인 민감도가 높은 고객(Discount Affinity High)’ 알고리즘을 적용한 타겟 캠페인 진행을 통해 할인 기획전의 효과를 극대화 할 수 있었습니다. 머신러닝을 통해 미리 추출된 ‘할인 민감도가 높은 고객’에게는 ‘반값 할인 기획전’ 배너를 노출하여 기획전 페이지로의 유입을 늘리고 구매 전환율을 14.6% 증대하는 데 성공했습니다. 브랜드별 프로모션을 직접 찾아보지 않으면 모른 채 이탈했을 고객군을 미리 예측하고 보다 정교화된 타겟팅을 통해 관여도가 높은 콘텐츠를 보여준 결과 자사 온라인몰의 매출 성장을 이뤄 낼 수 있었습니다.
자사의 여러 브랜드와 다양한 카테고리의 제품을 한데 모아 판매하는 자사 온라인몰에선 고객 행동 패턴에 따라 적합한 타이밍에 적합한 상품을 추천하는 것이 매우 중요합니다. 이랜드몰은 머신러닝 알고리즘을 통해 할인 민감도가 높은 고객들을 세분화하고 높은 할인율의 상품들 실시간으로 보여주는 추천 엔진을 카테고리 페이지에 적용했습니다. 이는 '실시간 가장 쎈 할인 상품!' 추천에 우선적으로 노출된 고객들의 구매 전환율을 향상시켜 매출 성장 효과를 이끌어 냈습니다. 특히, 고객 취향을 반영한 실시간 개인 맞춤형 상품추천은 매출 증대는 물론 보다 긴밀한 고객 경험을 제공하며 브랜드 충성도와 만족도까지 향상 시킬 수 있었습니다.
"인사이더의 솔루션은 고객 행동을 실시간으로 예측하여 한층 개인화된 온사이트 마케팅을 가능하게 할 뿐만 아니라, 다양한 템플릿을 통해 개발자의 도움 없이도 마케터가 쉽게 완성도 높은 캠페인을 진행할 수 있게 합니다."
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