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Facebook 將機器學習用於個性化廣告 - 社交立場

Facebook 將機器學習用於個性化廣告

為了改善用戶的購物體驗,Facebook 於 2019 年 11 月 13 日宣布發布動態廣告功能,該功能使用機器學習根據數據和用戶偏好個性化廣告。這將使每個用戶無論在客戶旅程中的任何位置都能獲得個性化的廣告體驗。總體而言,此次更新旨在提高轉化率,並為社交媒體平台的用戶提供獨特的購物體驗。

Facebook 將機器學習用於個性化廣告
資料來源:臉書

主要更新三個,分別是動態廣告、多文本優化和自動翻譯
動態廣告具有不同類型的廣告格式和信息,具體取決於用戶在客戶旅程中所處的位置以及他們最有可能回應的內容。
多文本優化允許企業為單媒體廣告的主要文本、標題和描述字段自定義不同的文本選項。
最後,自動翻譯功能也適用於單媒體廣告,以當地語言向國際客戶傳達信息。
擁抱每個 Facebook 用戶的差異和獨特性,這是提供個性化體驗的精髓。通過使用機器學習技術來定制廣告格式、創意和文本,基於對個人最有效的內容,企業可以改善整體電子商務體驗。

對品牌營銷人員的啟示

品牌營銷人員應該考慮利用這些新的更新,不僅可以提高轉化率和提高品牌知名度,還應該更多地了解消費者。利用這個機會了解消費者對哪種格式、創意和文本產生共鳴,並將其用作未來營銷活動的整體品牌體驗的一部分。
#Pinterest 商業模式

資料來源:
https://www.facebook.com/business/news/making-it-easy-to-scale-more-personalized-ad-experiences/
https://www.facebook.com/business/help/918082658556492?id=1913105122334058

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