Successful Case Study of a Japanese Skincare Brand: New Product Trial Redemption Marketing Campaign
An internationally renowned Japanese beauty and skincare brand launched a new anti-wrinkle product line, aiming to increase consumer engagement and brand loyalty through online promotion and the appeal of free product sample redemptions.
Solution
Utilizes machine learning to identify high-engagement placements, winning premium ad spaces at the expected bid while automatically filtering out media that generate ineffective clicks.
Dynamically updates “user browsing intentions” and ranks ads based on relevance, targeting audiences interested in anti-wrinkle products.
Excludes audiences who have already redeemed samples, and retargets those who have seen the ads but have not yet filled out the form, controlling ad frequency to optimize engagement.
Strategy
Utilize the CPC AI model to identify precise audiences and drive high-quality traffic to the website.
Adjust the balance between new customer acquisition and retargeting based on delivery goals and campaign data. Continuously refine keyword targeting to reach precise audiences for optimal ad delivery.
To maximize conversions, intensify retargeting efforts for users who visited the site but have not yet requested a sample, while controlling ad frequency.
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日系保養品牌成功案例：新系列商品試用兌換行銷活動
國際級日系美妝保養品牌推出新抗皺系列產品，期待藉由線上推廣新產品與免費兌換試用品的號召力，增加消費者對品牌的新鮮度與黏著度。
解決方案
透過機器學習找出高互動版位，以符合預期的出價贏得優質曝光，自動排除帶來無效點擊的媒體
動態更新「使用者的瀏覽意圖」，並依廣告關聯性做排序，尋找對抗皺商品等保養品有興趣的受眾
排除已申請試用兌換的受眾，在控制廣告出現的頻次下，針對看過廣告尚未填單的受眾進行再行銷
投遞策略
使用 CPC AI 模型找出精準受眾，將優質流量導入進站。
依據投遞目標，投遞數據調整新客導流及再行銷佔比。並針對關鍵字 TA 的字詞做調整，持續找出精準受眾做投放。
為爭取更多轉換，加強曾進站但尚未申請試用的使用者進行再行銷和控制頻次。
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