Breaking Tracking Barriers on External E-commerce Platforms with Precision “Intent Prediction”
Surmounting “Walled Garden” limitations to maximize click-through performance via keyword-based audience analysis.
A renowned biotech brand focusing on “natural plant protein” launched a series of functional soy protein drinks targeting modern consumers’ most common issues: digestive health and sleep quality. However, when using a third-party e-commerce platform as the landing page, the brand faced the challenge of being unable to embed tracking pixels.
This case study explores how we utilized our proprietary DDKT (Deep Dive Key Targeting) platform to accurately capture high-potential new customers and achieve a CTR 2x higher than the average, even in the absence of diverse retargeting data.
Challenges: Tracking Limitations & Restricted Retargeting
Solutions & Strategy: Deep Dive Key Targeting (DDKT)
To overcome the inability to track on-site behavior, we shifted our core strategy from “Behavioral Tracking” to “Intent Prediction” using the DDKT platform:
1. DDKT Deep Dive Key Targeting
We moved beyond vague interest categories to analyze search intent, creating three core keyword groups to intercept high-demand audiences:
2. Dynamic Optimization
Without pixel-based on-site data, we monitored real-time click reactions for each keyword combination via the DSP backend. We conducted A/B testing on creatives and keywords for both “Digestive” and “Sleep” product lines to ensure the budget was concentrated on high-intent users.
3. Enhanced Click Retargeting (RT)
Although we couldn’t track on-site actions, we utilized “Ad Clicker” data collected by the DSP. We retargeted users who had clicked the ads with brand-value creatives emphasizing “natural/no additives” and “simple maintenance” to reinforce brand recall and drive them back to complete the purchase.
Performance: Doubling the Click-Through Rate
- Significant CTR Lead: Ad groups using DDKT keyword targeting performed 1.5 to 2 times higher than standard interest-tag groups.
- High-Precision Audience: Traffic from keyword groups showed significantly better engagement, proving that “Intent Targeting” effectively compensates for the lack of “Behavioral Tracking.”
- Successful New Customer Acquisition: By intercepting competitor keywords, we successfully introduced a large volume of high-quality new customers to the brand who had no prior interaction with it.
Conclusion
In an environment where third-party tracking is restricted, DDKT Deep Audience Analysis serves as a powerful tool for brands to break through. Through deep insights into search intent, we successfully converted advertising budgets into high-quality traffic, ensuring the brand reached the right audience and increased conversion opportunities.
Contact us today to build your customized data-driven delivery plan!
機能補給品成功案例：精準「意圖預測」打破外部購物平台追蹤困境
打破「圍牆花園」限制，以關鍵字受眾分析極大化點擊表現。
知名生技品牌以「天然植物蛋白」為核心，針對現代人最困擾的「消化機能」與「睡眠品質」問題，推出一系列機能性大豆蛋白飲。然而，當品牌選擇以第三方電商平台作為產品導流頁面時，面臨了無法埋設追蹤碼的挑戰。本案例將帶您了解我們如何運用獨家 DDKT（Deep Dive Key Targeting）深度受眾分析平台，在缺乏多元再行銷數據的情況下，還能精準捕捉高潛力新客，並創造高於均值 2 倍的CTR表現。
挑戰與困難點：無法埋設追蹤代碼&再行銷受限
解決方案與廣告投遞策略：Deep Dive Key Targeting (DDKT) 深度受眾分析
為了克服無法埋碼的限制，我們將策略核心由「行為追蹤」轉向「意圖預測」，運用 DDKT 深度受眾分析平台 進行主動出擊：
1. DDKT 關鍵字精準定向
我們捨棄模糊的興趣分類，改以 DDKT 分析用戶搜尋意圖，規劃出三大核心關鍵字群組，直接攔截具備強烈需求的受眾：
2. 動態優化投遞權重
在無法依賴 Pixel 獲得用戶進站行為數據的情況下，我們透過 DSP 後台即時監測各個關鍵字組合的點擊反應。針對品牌旗下「好消化」與「好睡眠」兩款不同機能產品，進行素材與關鍵字的 A/B Testing，確保預算集中於高意圖受眾。
3. 強化點擊 Retargeting 機制
雖然無法追蹤站內行為，但我們利用 DSP 收集到的「廣告點擊者」數據。針對曾點擊過廣告者投放強調「天然無添加」與「簡單保養」的品牌價值素材，加深印象並引導回電商平台完成下單。
廣告成效：點擊率翻倍成長
- 廣告點擊率大幅領先： 使用 DDKT 關鍵字定向的廣告群組，其 CTR 表現較一般興趣標籤群組高出 1.5 至 2 倍。
- 高度精準受眾：關鍵字群組帶來的流量在停留時間與互動表現上明顯優於廣域投放，證明「意圖定向」能有效彌補「行為追蹤」的不足。
- 成功拓展新客源： 在無法做站內再行銷的情況下，透過精準攔截競品關鍵字，成功為品牌導入大量從未接觸過品牌的高品質新客。
總結
在第三方數據追蹤受限的環境下，DDKT 深度受眾分析作為品牌突破困境的利器，透過對用戶搜尋意圖的深刻洞察，我們成功將廣告預算轉化為高品質導流，協助品牌曝光在對的受眾，增加成交的機會。
聯繫我們，
為您量身打造專屬的數據投遞方案！