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  • README
  • I. Introduction to Karsa Labelizer
    • 👋What is Karsa Labelizer?
    • 📈Why Segmentation Matters?
    • ⚖️Karsa vs. Alternatives
    • 📚Key Concepts
  • II. First Steps
    • 🖥️Interface Overview
    • 🚀Quick Start
    • ♻️Service Lifecycle
    • ⚙️Operation Manager
  • III. Cluster Designer: Creating Clusterization
    • ✂️Introduction to Cluster Designer
    • ➕Creating New Clusterization
    • 🥅Setting Limits and Goals
    • 🎚️Parameter Selection
      • Parameters Overview
      • Parameter Selection Strategy
      • How AI Works in Cluster Finding
    • 🏷️Custom Label Setup
    • 🔄Product Dynamics Management
      • Movement Limits
      • New Products Strategy
    • ▶️Launch and Monitoring
  • IV. Analysis and Optimization
    • 📊Introduction to Analysis and Reports
    • ✅Clusterizations Overview
    • 🔍Cluster Details
    • 📦Products in Cluster
    • 🕒Product Movement History
  • V. Deployment and Strategy
    • 🚀Introduction to Deployment and Strategies
    • ✅Production Deployment
    • Performance Max Integration
    • Post-Deployment Optimization (Learning Phase)
    • 🛡️Stability Management Strategy
  • VI. Troubleshooting and FAQ
    • 🔧Common Issues and Solutions
    • Frequently Asked Questions (FAQ)
  • VII. Appendices
    • 📚Glossary
    • 🔗References
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  • What the Report Is For:
  • Key Columns and Their Meaning:
  • Clasterization name
  • Created time
  • Status
  • Custom label
  • Clusters count
  • Products count
  • Consistency
  • Clastering parameters count
  • Clastering parameters names
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  1. IV. Analysis and Optimization

Clusterizations Overview

PreviousIntroduction to Analysis and ReportsNextCluster Details

Last updated 8 days ago

This report is your central place for managing and comparing all created clusterization strategies. It allows you to quickly gain an overview of their settings, status, and basic characteristics. You will typically find it by clicking on the highest level of the category tree in the left menu, which represents all clusterizations, or on a specific parent category if you have organized your clusterizations this way.

What the Report Is For:

  • Status monitoring: Quickly determine which clusterization is currently active in production mode (ProductionRun), which is in test mode (Test), or paused (Pause).

  • Consistency evaluation: Assess how stable and predictable the clusters are within individual clusterizations.

  • Custom Labels management: Get an overview of which Google Custom Labels (custom_label_0 to custom_label_4) are already being used by your clusterizations.

  • Optimization planning: Identify older or less performing clusterizations that may require updating, adjustment, or replacement with a new design.

Key Columns and Their Meaning:

Clasterization name

  • It is recommended to use descriptive names for easy identification of the purpose and goals of the clusterization (e.g., Test_ROAS_Price_08-2025).

Created time

  • Date and time when the given clusterization (design) was created.

  • The report is usually sorted from newest to oldest, which makes it easier to track the latest experiments.

Status

  • Current status of the clusterization:

    • ProductionRun: The clusterization is active in production mode. This means it runs daily, updates data, allows dynamic product movements between clusters (if enabled), and exports Custom Labels to Google Merchant Center. In the left menu, this category is marked in green.

    • Test: The clusterization is in test mode. You can analyze its design and metrics, but it does not affect production data or export Custom Labels.

    • Pause: The clusterization is paused and does not run automatically. Its settings are preserved, but no active operations take place.

Custom label

Clusters count

  • The total number of clusters (product segments) that were created within this clusterization. For an existing clusterization, this number cannot be changed; you need to create a new clusterization with different limits.

Products count

  • The total number of products that are included in all clusters of this clusterization.

Consistency

  • A very important performance metric. It indicates the degree of internal consistency (stability and similarity) of product performance metrics within individual clusters of the given clusterization over time.

  • A higher value means a better result. Clusters with higher consistency are more internally homogeneous, their behavior is more stable and better predictable for Google Ads optimization algorithms.

  • For proper comparison: It is recommended to compare Consistency values between clusterizations that were created using the same number (and ideally the same types) of parameters/dimensions.

Clastering parameters count

  • The number of parameters (metrics, e.g., ROAS, Conversion value, CTR) that were used to create this clusterization.

Clastering parameters names

  • A list of specific parameter names that were used in the clusterization process for this design (e.g., ROAS, Conv. value).


Strategy comparison: Easily compare the results of different clusterization designs that you created in (e.g., with different parameters or limits).

The name you entered during configuration in .

The number of the Google Custom Label (from 0 to 4) that was selected for this clusterization in for marking products in Google Merchant Center.

This overview serves as a starting point for quick orientation in your clusterization strategies and for deciding which ones deserve more detailed analysis, deployment to production, or conversely, adjustment or archiving. For a deeper insight into individual clusters, proceed to the report.

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Cluster Designer
Cluster Designer
Cluster Designer
Cluster Details