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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 Problems Does Karsa Labelizer Solve?
  • How Does Karsa Labelizer Help You?
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  1. I. Introduction to Karsa Labelizer

What is Karsa Labelizer?

Welcome to the world of advanced Google Shopping campaign optimization! Karsa Labelizer is a specialized tool designed to help PPC specialists and marketing managers significantly improve the performance of their Product Listing Ads (PLA) through intelligent, multi-dimensional product segmentation powered by artificial intelligence (AI).

What Problems Does Karsa Labelizer Solve?

Traditional Google Shopping campaign management often faces several key challenges:

  • Inconsistent campaigns: Products with vastly different performance metrics (e.g., ROAS, conversion rate, order value) are often grouped together. This makes it difficult for Google's algorithms to effectively predict and optimize their performance.

  • Difficult ROAS prediction: Due to inconsistency, it's challenging for Google to estimate the actual return on ad spend (ROAS) that can be expected from a campaign, leading to suboptimal budget allocation.

  • Time-consuming manual segmentation: Creating and maintaining a granular yet effective campaign structure manually is extremely time-consuming and nearly impossible for larger e-commerce stores, especially if you want to consider multiple performance metrics simultaneously.

  • Overcoming standard segmentation limitations: While common practice often relies on segmentation based on a single parameter (e.g., ROAS) into a predetermined, small number of clusters, such an approach has its limitations. It may not capture all the nuances in performance and might overlook hidden potential or risky segments.

How Does Karsa Labelizer Help You?

Karsa Labelizer approaches product segmentation innovatively:

  1. Intelligent segmentation (clusterization): It uses advanced machine learning algorithms to analyze your products' performance data across several dimensions (metrics) simultaneously. Based on this, it automatically identifies and groups products into optimal clusters.

  2. Increasing campaign consistency and predictability: The goal of clusterization is to create campaigns (individual clusters) that are internally as consistent as possible in terms of performance. This means that products in one cluster behave similarly. As a result, Google Ads algorithms can much better predict their future performance and more efficiently manage bids and budgets.

  3. Campaign number optimization: The tool can suggest the optimal number of campaigns (clusters) specifically for your e-commerce store and your data distribution, instead of fixed, predefined structures.

  4. Significant performance improvement: Thanks to consistent and predictable campaigns, our clients achieve up to 25% increase in overall PLA campaign performance.

  5. Automation and time savings: Karsa Labelizer automates many processes associated with segmentation, from daily data downloads, through calculations, to exporting Custom Labels to Google Merchant Center and dynamic product movements between campaigns.

Who is Karsa Labelizer For?

The tool is primarily designed for:

  • PPC specialists: Who are looking for advanced methods to optimize Google Shopping campaigns and want to have detailed control over structure and performance.

  • Marketing managers: Who need to ensure maximum efficiency of advertising investments and are looking for a reliable, data-driven solution for their e-commerce clients or their own e-commerce store.

  • E-commerce stores of all sizes: From medium to large, who want to fully leverage the potential of their product data and achieve better results in Google Shopping.

Karsa Labelizer is therefore designed to provide you with the necessary tools and data-driven intelligence to effectively structure your Google Shopping campaigns with the goal of achieving higher performance and better predictability.

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Last updated 9 days ago

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