數位轉型策略
整合線上及線下資料,全面掌握顧客資訊
解決多渠道及資料分散所衍生出的各種挑戰。Appier 的顧客資料科學平台有效整合顧客資料,包含網頁及 App 使用者的線上行為與線下交易資料,協助您全面掌握受眾群。
用預測屬性豐富您的用戶偏好標籤
極致發揮第一方資料的所有潛能,Appier 協助您一同面對沒有 Cookie 可用的未來。自動標記及預測顧客興趣,補足歷史及行為資料的不足。無論網站或裝置使用者是否已登入,透過前述的洞察結果便能確切掌握使用者的意向。
將流量轉換為線上及線下營收
AI 技術有效預測出高終身價值的顧客,鎖定最有機會在線上完成轉單的顧客,並投放吸睛的廣告。您也可以投放區域廣告,與實體店面附近的顧客互動。
在每個渠道皆享有個人化專屬體驗
Appier 為每一位顧客打造個人化內容,為您的營收帶來實際貢獻。Appier 的混合深度學習引擎同時學習並處理線上行為及線下資料,並於網站、App、訊息中,甚至實體店面的智慧電視上,祭出最有感的推薦內容。
助猶豫不決的消費者一臂之力
精準鎖定猶豫不決的消費者。在最佳時機提供最適合的限時優惠加速轉單,避免提供折價券給已決定購買的消費者,大幅省下您的成本。
互動式對話行銷將線下資料數位化,順利完成資料整合
追蹤消費者店內的購買紀錄,並於線上彙整所有交易紀錄。透過會員積點兌獎機制,鼓勵顧客使用並儲存電子發票。此類顧客忠誠度計畫,能有效促使顧客自願提供資料,以獲取並累積點數以折抵未來消費。
您的同業與我們合作的精彩成果
language: zh-tw
post: {hs_id=72032090007, hs_child_table_id=0, title_ko=세계적인 프랑스 리테일 그룹, hs_updated_at=1654592210245, description_jp=カルフールはAppierのソリューションを利用し、ユーザー行動と購買意図の分析により、高価値な顧客と購入をためらう顧客を特定し、それぞれのグループに合わせたキャンペーンを実施, hs_published_at=1708332200285, title_jp=小売, description=Carrefour used Appier's solutions to identify high-value customers and hesitant buyers through user behavior and purchase intent analysis—crafting tailored campaigns to target each group accordingly., title=French Multinational Retail Group, description_ko=까르푸(Carrefour)는 애피어의 솔루션을 사용하여 사용자 행동 및 구매 의향을 분석함으로써 고가치 고객 및 망설이는 구매자를 식별하고, 각 고객 그룹별 맞춤 캠페인을 전개하여 높은 성과를 거뒀습니다., url=https://www.appier.com/success-stories/carrefour, hs_created_at=1651029762363, hs_is_edited=false, hs_deleted_at=0, name=Carrefour, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_Carrefour.svg, width=400, height=400, altText=, type=image}, description_zh=家樂福 Carrefour 藉由 Appier 解決方案分析顧客行為及購買意願,成功找出高價值客戶及猶豫客,並發送量身打造的行銷活動給各個目標客群。, title_zh=法國跨國零售集團}
post: {hs_id=72032090007, hs_child_table_id=0, title_ko=세계적인 프랑스 리테일 그룹, hs_updated_at=1654592210245, description_jp=カルフールはAppierのソリューションを利用し、ユーザー行動と購買意図の分析により、高価値な顧客と購入をためらう顧客を特定し、それぞれのグループに合わせたキャンペーンを実施, hs_published_at=1708332200285, title_jp=小売, description=Carrefour used Appier's solutions to identify high-value customers and hesitant buyers through user behavior and purchase intent analysis—crafting tailored campaigns to target each group accordingly., title=French Multinational Retail Group, description_ko=까르푸(Carrefour)는 애피어의 솔루션을 사용하여 사용자 행동 및 구매 의향을 분석함으로써 고가치 고객 및 망설이는 구매자를 식별하고, 각 고객 그룹별 맞춤 캠페인을 전개하여 높은 성과를 거뒀습니다., url=https://www.appier.com/success-stories/carrefour, hs_created_at=1651029762363, hs_is_edited=false, hs_deleted_at=0, name=Carrefour, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_Carrefour.svg, width=400, height=400, altText=, type=image}, description_zh=家樂福 Carrefour 藉由 Appier 解決方案分析顧客行為及購買意願,成功找出高價值客戶及猶豫客,並發送量身打造的行銷活動給各個目標客群。, title_zh=法國跨國零售集團}
language: zh-tw
post: {hs_id=72032090117, hs_child_table_id=0, title_ko=세계 최대의 피자 체인 브랜드, hs_updated_at=1683710411725, description_jp=ピザハットはAiDealを利用してリアルタイムで迷いを探知し、ためらう顧客にクーポンを送付。クーポンを配信対象はより早く注文を完了し、購入が20%増加, hs_published_at=1708332200285, title_jp=ファーストフードチェーン, description=Pizza Hut used AIDEAL to detect real-time intent and send coupons to hesitant customers. Those who received a coupon completed their orders faster, resulting in a 20% growth in order placement., title=One of the World’s Largest Pizza Chains, description_ko=피자헛 (Pizza Hut)은 AiDeal로 고객 의향을 실시간 감지하여 망설이는 고객에게만 쿠폰을 전송했습니다. 쿠폰을 받은 사람들이 주문을 더 빨리 완료함으로써 주문량이 20% 증가했습니다., url=https://www.appier.com/en/success-stories/pizza-hut, hs_created_at=1651040715393, hs_is_edited=false, hs_deleted_at=0, name=PizzaHut, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_PizzaHut.png, width=324, height=65, altText=, type=image}, description_zh=必勝客 Pizza Hut 使用 AiDeal 偵測顧客當下的購買意願,向猶豫客發送折價券。拿到折價券的顧客會更快完成訂單,讓下單數量成長 20%。, title_zh=世界最大的披薩連鎖店之一}
post: {hs_id=72032090117, hs_child_table_id=0, title_ko=세계 최대의 피자 체인 브랜드, hs_updated_at=1683710411725, description_jp=ピザハットはAiDealを利用してリアルタイムで迷いを探知し、ためらう顧客にクーポンを送付。クーポンを配信対象はより早く注文を完了し、購入が20%増加, hs_published_at=1708332200285, title_jp=ファーストフードチェーン, description=Pizza Hut used AIDEAL to detect real-time intent and send coupons to hesitant customers. Those who received a coupon completed their orders faster, resulting in a 20% growth in order placement., title=One of the World’s Largest Pizza Chains, description_ko=피자헛 (Pizza Hut)은 AiDeal로 고객 의향을 실시간 감지하여 망설이는 고객에게만 쿠폰을 전송했습니다. 쿠폰을 받은 사람들이 주문을 더 빨리 완료함으로써 주문량이 20% 증가했습니다., url=https://www.appier.com/en/success-stories/pizza-hut, hs_created_at=1651040715393, hs_is_edited=false, hs_deleted_at=0, name=PizzaHut, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_PizzaHut.png, width=324, height=65, altText=, type=image}, description_zh=必勝客 Pizza Hut 使用 AiDeal 偵測顧客當下的購買意願,向猶豫客發送折價券。拿到折價券的顧客會更快完成訂單,讓下單數量成長 20%。, title_zh=世界最大的披薩連鎖店之一}
language: zh-tw
post: {hs_id=72527610118, hs_child_table_id=0, title_ko=세계적으로 유명한 맥주 브랜드, hs_updated_at=1655880017969, description_jp=ハイネケンはBotBonnieを使用し、インタラクティブな会話型マーケティングプログラムを通じて顧客の購買データを収集。収集データはデジタル広告のターゲティング時に活用, hs_published_at=1708332200285, title_jp=ビールメーカー, description=Heineken used BotBonnie to collect customers' offline shopping information via interactive conversational marketing programs. The offline data provided valuable insights for targeting online., title=World's Renowned Beer Brand, description_ko=하이네켄(Heineken)는 BotBonnie를 사용한 양방향 대화형 마케팅 프로그램으로 고객의 오프라인 쇼핑 정보를 수집했습니다. 이렇게 확보한 오프라인 데이터는 온라인 타겟팅에 도움되는 중요한 통찰력을 제공했습니다., url=https://www.appier.com/success-stories, hs_created_at=1651573669855, hs_is_edited=false, hs_deleted_at=0, name=Heineken, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_Heienken.png, width=112, height=80, altText=, type=image}, description_zh=海尼根 Heineken 透過 BotBonnie 對話式互動行銷方案,順利收集顧客的線下消費資訊。豐富的線下消費資料提供了寶貴洞察,協助品牌鎖定線上再行銷的目標。, title_zh=世界知名啤酒品牌}
post: {hs_id=72527610118, hs_child_table_id=0, title_ko=세계적으로 유명한 맥주 브랜드, hs_updated_at=1655880017969, description_jp=ハイネケンはBotBonnieを使用し、インタラクティブな会話型マーケティングプログラムを通じて顧客の購買データを収集。収集データはデジタル広告のターゲティング時に活用, hs_published_at=1708332200285, title_jp=ビールメーカー, description=Heineken used BotBonnie to collect customers' offline shopping information via interactive conversational marketing programs. The offline data provided valuable insights for targeting online., title=World's Renowned Beer Brand, description_ko=하이네켄(Heineken)는 BotBonnie를 사용한 양방향 대화형 마케팅 프로그램으로 고객의 오프라인 쇼핑 정보를 수집했습니다. 이렇게 확보한 오프라인 데이터는 온라인 타겟팅에 도움되는 중요한 통찰력을 제공했습니다., url=https://www.appier.com/success-stories, hs_created_at=1651573669855, hs_is_edited=false, hs_deleted_at=0, name=Heineken, logo={url=https://www.appier.com/hubfs/Appier%20Website%20Images/Logos/Case%20Study%20Card%20(Left)/CaseStudyCards_Heienken.png, width=112, height=80, altText=, type=image}, description_zh=海尼根 Heineken 透過 BotBonnie 對話式互動行銷方案,順利收集顧客的線下消費資訊。豐富的線下消費資料提供了寶貴洞察,協助品牌鎖定線上再行銷的目標。, title_zh=世界知名啤酒品牌}