Semantic Keyword Clustering for Ad Campaign Organization

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Solution Overview

Problem

Large ad campaigns with numerous keywords often fail to perform well due to a lack of semantic relevance, leading to poor ad targeting and lower click-through rates, as they span multiple subjects and lack focused themes.

Innovation Solution

An automatic account organization tool uses a semantic database to cluster keywords into semantically meaningful groups through hierarchical agglomerative clustering, identifying and removing duplicate pairs and sorting by semantic distance, thereby generating more focused ad groups with meaningful names.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If keywords are grouped into large ad campaigns to expand coverage, then the quantity of keywords increases, but semantic relevance and ad targeting accuracy deteriorate

Engineering Contradiction:

Improvenumber of keywordsVSAvoidad targeting accuracy

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent segments large ad campaigns into smaller, focused ad groups based on semantic clustering of keywords. Each ad group contains keywords with similar meanings and themes, ensuring that ads are presented to users with relevant interests. This segmentation maintains large keyword coverage while preserving semantic relevance and targeting accuracy within each subgroup.

Inventive Principle:

Principle #1Segmentation

2Reliability

If hierarchical clustering is applied to organize keywords, then ad group focus and semantic relevance improve, but system complexity and processing time increase

Engineering Contradiction:

Improvead group focusVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary semantic analysis and clustering of keywords before ad campaign execution. By pre-organizing keywords into semantically coherent groups using hierarchical clustering algorithms, the system establishes focused ad groups in advance. This preliminary organization reduces real-time processing complexity while maintaining high ad group focus and semantic relevance.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If semantic clustering algorithms are used to organize keywords, then click-through rates and ad performance improve, but computational resources and processing time increase

Engineering Contradiction:

Improveclick-through rateVSAvoidcomputational resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system applies semantic clustering algorithms selectively to keyword groups that benefit most from organization, rather than processing all keywords uniformly. By focusing computational resources on partial sets of keywords that require semantic differentiation, the system achieves improved click-through rates and ad performance while avoiding excessive computational resource consumption on already-organized or simple keyword sets.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS8793238B1Organization system for ad campaigns

Publication Date: 2014.07.29 GOOGLE LLC

AI summary

An automatic account organization tool is provided to organize a large adgroup into smaller adgroups with semantically meaningful names. For example, a set of input keywords is received, semantically related pairs of keywords are identified from the set of input keywords, and hierarchical clustering is applied to the pairs of keywords to identify a set of clusters of keywords, each cluster having semantically related keywords. A name can be determined for each of the clusters.