AI Semantic Analysis Engine
Dynamic Keyword Targeting (DKT)
Focus on your product’s core keywords, and let DKT pinpoint the audiences truly interested in your offerings.
Gain deeper customer insights to make smarter business decisions.
What is Dynamic Keyword Targeting (DKT) ?
AI-Driven Audience Keyword Discovery Simply provide keywords related to your product or service features, and DKT will identify your key audience.
By integrating Real-Time Bidding (RTB) within our DSP, our AI analyzes audience browsing intent whenever they visit pages containing relevant keywords.
We calculate their level of interest, update keyword rankings in real-time, and track the latest behavioral trends to deliver ads instantly based on intent, maximizing your advertising ROI.
Dynamic Keyword Targeting
New Technology | New Insights | New Markets
AI-Powered Audience Selection
Replace manual targeting with AI analysis to expand your audience perspective and reach beyond traditional boundaries.
Dynamic Interest Updates
Refresh audience lists in real-time to capture shifting interests as they happen.
Keyword Correlation Analysis
Leveraging vast data processing expertise, DKT crawls extensive media content to analyze keyword correlations and segment audience dimensions effectively.
AI Predictive Modeling for High CTR
By ranking keywords with high relevance to browsing intent, our AI model predicts and secures high Click-Through Rates (CTR) while maintaining pinpoint accuracy.
Data Analysis & Insights — Beauty Industry Case Study
Step 01: Define Product Features
Starting with advertiser-provided features (e.g., anti-wrinkle, anti-aging, Retinol, fine lines) as the baseline for audience data matching.
Step 02: Real-time Interest Detection
Utilize DKT’s dynamic database to identify audiences interested in core keywords and expand identification to related topics such as nail art, medical beauty, and fitness.
Step 03: Insight Expansion & Behavioral Projection
Analyze the top five keywords associated with the audience (e.g., moisturizing, free trials, eye cream, fine lines, fitness) to uncover motivations, supplementary needs, or extended interests when searching for anti-wrinkle products.
Step 04: Insight Integration & Strategic Transformation
Consolidate audience themes to identify cross-domain interests—such as skincare, fashion, travel, and sports—helping advertisers find the most resonant marketing angles for ad delivery.
智能語意分析引擎
動態關鍵字定向
Dynamic Keyword Targeting (DKT)
只需聚焦產品特性的關鍵字
由DKT鎖定對產品感興趣的受眾
讓你更了解客戶
做出更正確的商業決策
Dynamic Keyword Targeting (DKT) 是什麼？
AI 找出產品受眾關鍵字！使用者只需要提供產品或服務特性關鍵字，由DKT為你找出關鍵受眾！
結合DSP即時競價的模式，受眾曾瀏覽過的真面包含相關關鍵字時，透過AI技術分析了解受眾瀏覽意圖，計算受眾對商品的興趣，
即時更新關聯關鍵字排名，掌握受眾最新行為目標，再根據瀏覽意圖立即投遞廣告，有效發揮廣告效益。
Dynamic Keyword Targeting
新技術 | 新認知 | 新市場
AI 分析選定受眾
由 AI分析取代人為選定受眾，提升你對受眾想像的格局。
動態更新受眾興趣
即時動態更新受眾名單，隨時掌握受眾興趣的變化。
分析字詞相關性
透過海量數據處理經驗，DKT爬取媒體擁有的大量文章，分析字詞相關性，有效細分受眾維度。
AI模型預測高點擊率
透過排名瀏覽意圖與廣告關聯度高的關鍵字，保持精確性，由AI模型來預測高點擊率(CTR)
數據分析與洞察 – 以美妝產業為例
Step 01. 設置產品特性
從廣告主提供的產品特性（如抗皺、抗老、A 醇、細紋）作為分析起點，作為受眾資料比對的基準。
Step 02. 即時偵測受眾興趣
透過 DKT 動態資料庫，找出對抗皺、抗老、A 醇等關鍵字有興趣的受眾，並延伸辨識相關主題如美甲、醫美、健身。
Step 03. 洞察延伸與行為推測
分析出受眾所攜帶的前五大關鍵字（保濕、試用、眼霜、細紋、健身），找出他們在尋找抗皺產品時可能的動機、補充需求或興趣延伸。
Step 04. 洞察整合，轉化行銷策略
彙整受眾主題後，找出美妝保養、穿搭、旅遊、運動等跨領域興趣，協助廣告主找到能產生共鳴的投放切角。
