愛上新鮮成立於2013年,是台灣最大的生鮮電商品牌。不同於常見的電商平台以寄賣抽成的方式讓商家上架商品,愛上新鮮則是直接買斷供應商的產品,全部以自有品牌進行銷售。公司成立隔年就損益兩平,第三年營收突破1億元,目前年營收已突破十億。
而成立至今累積了大量的會員與商品數量,因此如何運用這些歷史數據,分析出最佳的商品推薦,成為愛上新鮮網站營運課題之一。為的就是讓不同類型的消費者都可以一眼就看見最適合他們的商品,進而提高加入購物車的機會,並且提高轉換率。
Insider 提供超過 10 種演算法,除了常見的基於商品銷售(item-based)以及基於使用者行為(user-based)的演算法之外,Insider 還開發出基於消費者購買頻率與商品價格而產生的「最有價值商品」演算法。不僅提高了轉換率,還可以增加平均訂單金額,創造加倍營收。
Insider 可依據不同版位選擇最適用的演算法邏輯,甚至是同一個頁面的手機版與桌機版,都能夠依據不同的訪客樣貌選用最適合該頁面的演算法。透過不斷優化版位與演算法,推薦功能上線兩個月以來,就幫助愛上新鮮帶來千萬營收,點擊後轉換率更是超過10%。
Insider 提供 A/B 測試的機制,隨機將使用者分成兩組,分別曝光 Insider 與競品的推薦版位。實際測試兩週後就明顯看出差異:在同樣頁面版位與相同裝置的情況下,Insider 推薦功能的點擊後轉換率比競品增加了 47%,甚至連平均訂單金額都提昇了12%。
不只是演算法精準、功能高度彈性,Insider 還提供顧問式服務,服務包含數據分析、網站優化建議,以及產業諮詢等等。功能上線前,Insider 特別針對愛上新鮮的網站進行全面性的健康檢查,找出需要優化的版位進行優化,成功提昇網站的轉換率。
Insider 只針對即將離開網站的使用者才會跳出 banner 挽留,例如滑鼠移動到關閉視窗的按鈕,或是網站偵測到手機上有上下滑動的速度差。而這種時候的Banner 通常是促購型內容,像是提示消費者領取購物金、宣傳最近的檔期促銷、首購或免運優惠......等等。進而達到挽留消費者目的,也不會破壞消費者的購物體驗。
另外像是商品瀏覽記錄的功能,消費者就算沒有登入會員,Insider 也能夠記錄下他們的瀏覽足跡,將最近看過的商品顯示在桌機版頁面的側邊,讓消費者在不同商品間進行比較。功能上線後一個月,該版位的點擊率高達 7.35%,同時也提升了消費者在網站上的瀏覽時間。
"當平台商品數量增加,如何在黃金版位將對的品項推薦給對的消費者,就變成很重要的課題。因此過去愛上新鮮自己開發商品推薦功能的時候,對於哪些版位該用演算的結果,哪些可以人工排序上架,或是如何調校演算法的權重,這些都讓我們與工程師苦惱許久。 但是 Insider 的 AI 智能商品推薦功能,透過A/B測試的方式,讓我們能夠快速地實驗不同演算法,進而優化各個頁面的轉換率。再根據不同的消費者樣貌,提供他們更個人化的商品推薦結果,讓每個人來到網站,都能看見最吸引他的商品"
愛上新鮮執行長張佑承
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