🕒Product Movement History

The Product Movement History report ("Moving history") is an advanced analytical tool in Karsa Labelizer that allows you to track and analyze in detail how individual products have moved between different clusters (campaigns) over time within your active clusterizations.

Its main purpose is to provide you with:

• Detailed timeline of changes: An exact record of when, from where, and to where a product was moved.

• Performance metrics at the time of movement: What values the product achieved in key metrics at the moment it was moved, and what its values were before the move.

• Basis for evaluating movement effectiveness: Whether product movements actually led to improved performance of the products or entire clusters.

• Audit and transparency: Complete history of changes for reporting and retrospective analysis purposes.

• Ability to evaluate ML algorithm recommendations: Compare whether movements initiated by the system (based on ML recommendations) bring better results than the previous state.

How the Report Works and What It Displays

This report typically displays chronologically sorted records of each product movement. For each record (movement), you can expect the following information:

Key Information Displayed for Each Movement:

• Product identification:

  • Product ID, Name

• Movement information:

  • Date and time of movement: When exactly the movement occurred.

  • Original cluster (KM_LabelizerHistory_ClusterId before change): From which cluster the product was moved.

  • New cluster (KM_LabelizerHistory_ClusterId after change): To which cluster the product was newly assigned.

  • Cluster recommended by ML algorithm: Whether the movement corresponded to the recommendation of Karsa Labelizer's machine learning algorithm.

• Product performance metrics at the time of recording (current values):

  • ROAS

  • Conv. value

  • Conversions

  • Price (Average product price)

  • Clicks

  • Impressions

  • Cost

• Product performance metrics BEFORE movement (previous values):

  • The report often also displays metric values from the previous period or state (before the currently recorded movement) to allow direct comparison.

• Percentage change in metrics:

  • The difference between the current and previous value of the metric, expressed as a percentage. This quickly shows you how the product's performance changed in connection with the movement.

Data Visualization and Interpretation

Similar to other reports in Karsa Labelizer, the Product Movement History may use visual elements for easier orientation:

• Metric color coding: Different types of metrics may have different color highlighting (e.g., green for ROAS, blue for conversion value, etc.).

• Highlighting changes:

  • Previous values may be displayed in a darker shade.

  • Percentage changes may be color-differentiated (e.g., green for positive changes in ROAS, red for negative).

• Chronological sorting: Records are sorted chronologically so you can track development over time.

How to Use This Report for Optimization:

• Monitoring movement effectiveness: Analyze whether product movements between clusters led to improvements in their key metrics (e.g., whether a product's ROAS actually increased after being moved to a "better" cluster).

• Evaluating ML recommendation accuracy: Compare whether movements made based on ML algorithm recommendations consistently bring better results.

• Auditing changes: Have a complete and transparent history of all automatic changes in product assignment for reporting, control, and possible retrospective analysis purposes.

• Optimizing clusterization strategy and movement rules: Based on long-term monitoring of movement history, you can better fine-tune the settings of movement limits in Cluster Designer or even adjust the overall parameter selection strategy for clusterization if you find that certain types of movements are not effective.

The Product Movement History report is an invaluable source of information for understanding the dynamic aspects of your AI-driven segmentation. It provides detailed insight into how Karsa Labelizer continuously tries to optimize the assignment of your products, and allows you to verify and further fine-tune this process.