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Dynamic Keyword Targeting

Dynamic Keyword Targeting

Instead of pre-setting target audiences, identify the most suitable audience based on the characteristics of the product

AI identifies product-related keywords

Provide product feature keywords, and DKT will find your key audiences

Replace manual audience selection with AI analysis

Dynamic updates to track changes in audience interests

Analyze keyword relevance for detailed audience segmentation

AI models predict high click-through rates

Expand Your Perspective with AI-Driven Audience Selection

DKT_Expand Your Perspective with AI-Driven Audience Selection
  • Replace manual selection with AI analysis to elevate your understanding of audiences
  • Real-time updates to audience lists ensure you stay in tune with evolving interests
  • DKT keyword relevance analysis enables precise audience segmentation
  • Maintain accuracy with AI models predicting high CTR

New Technology | New Insights | New Markets

Dynamic Keyword Targeting

AI-Advertising_DKT

Utilize big data text analysis to compute the relationship between audiences and products

Understanding your customers’ interests helps you make better business decisions

  • Extract keywords from articles to refine audience targeting
  • AI analyzes correlations between all extracted keywords
  • Deliver ads to audiences most relevant to your product

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Crawl numerous articles in media outlets

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Extract valuable keywords

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Calculate the relevance between keywords

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Rank keywords with high relevance to browsing intent and ads

Deliver Ads Based on Browsing Intent

Display ads when audiences have browsed pages containing relevant keywords

Dynamic-Keyword-Targeting

Calculating the distance between keywords determines that they are highly interested in sunscreen products. If the audience has previously browsed keywords like “sunscreen,” “beach,” or “outdoor activities,” predict their intention to participate in outdoor activities at the beach shortly.

  • Understand the audience’s browsing intentions from different perspectives
  • Calculate the audience’s interest in the product after determining the browsing intention
  • Update the ranking of related keywords in real time to track the audience’s latest behavior and goals
  • Retarget ads based on the intention to enhance ad performance effectively

Data Analysis and Insights: Beauty Industry Example

Advertisers provide product features such as “anti-wrinkle, anti-aging, smoothing fine lines, retinol” to set ad keywords. As campaigns progress, DKT’s dynamic audience lists reveal that those interested in “anti-wrinkle” may also be interested in “nail care, medical aesthetics, fitness, and vacation.” These changing keywords help advertisers piece together a more complete picture of the true audience profile.

DKT_Data Analysis and Insights_ Beauty Industry Example

Data Analysis and Insights: Keyword Insights

Collected and ranked audience keywords show top five as: “hydration, trial, eye cream, fine lines, fitness.” Audiences looking for anti-wrinkle products emphasize hydration, fine lines, and are likely seeking eye cream. A trial opportunity may further engage them, and their interest in fitness suggests a focus on physique and wellness.

Key Observations:

  • Themes often revolve around beauty care, fashion, fitness, and travel.
  • These insights provide advertisers with a broader yet precise audience profile, revealing additional angles to enhance future campaigns.
DKT_Data Analysis and Insights_ Keyword Insights

Read More:
Successful Case Study of a Japanese Skincare Brand: New Product Trial Redemption Marketing Campaign


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