Parameters Overview

Karsa Labelizer offers you a wide range of performance metrics that you can use as parameters for clustering your products. The right selection and combination of these parameters is the foundation for creating meaningful and effective clusters. Below you will find an overview of available parameters and an explanation of their significance.

All the metrics listed below typically relate to the performance of products in Google Shopping campaigns over the selected period (by default the last 30 days, as set in [Setting Limits and Goals](../setting-limits-and-goals.md)).

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1. Clicks

• Description: The total number of clicks on ads displaying your products within Google Shopping campaigns.

• Significance for clusterization: Helps identify products that generate high traffic (and potentially costs), or conversely, products with a low click-through rate that may need optimization of visibility or ad attractiveness. Often used in combination with efficiency metrics (e.g., ROAS).

2. Conv. value (Conversion Value)

• Description: The total value of revenue generated by completed orders that were attributed to your product ads (tracked through Google Ads e-commerce measurement).

• Significance for clusterization: A key parameter for identifying products that bring the highest turnover. In combination with ROAS, it helps distinguish between products with high volume of revenue and high profitability.

3. Impressions

• Description: The total number of impressions of your product ads in Google Shopping campaigns.

• Significance for clusterization: Shows how often your products are visible. Can help identify products with high visibility but low click-through (problem with ad attractiveness or relevance) or conversely, products with low visibility (problem with competitiveness of bids, feed quality).

4. Product average price

• Description: The average price of the product (including VAT), calculated from data in your product feed in Google Merchant Center.

• Significance for clusterization: Allows segmenting products according to their price level. In combination with performance metrics (e.g., ROAS), it can reveal how the effectiveness of promotion differs for cheap and expensive products.

5. ROAS (Return On Ad Spend)

• Description: The ratio between revenue gained (Conversion Value) and advertising costs (Cost). Expresses how much money the advertising earned you for each dollar invested.

• Significance for clusterization: One of the most important parameters for evaluating effectiveness and profitability. Allows separating highly profitable products from those less profitable or loss-making.

6. Conversions

• Description: The total number of successful conversions (e.g., completed orders) attributed to your product ads from Google Ads campaigns.

• Significance for clusterization: Shows how often products are sold, regardless of the value of individual orders. In combination with Conv. value, it helps distinguish products with high value and low sales frequency from products with low value and high sales frequency.

7. Cost

• Description: The total cost of clicks on products in your Google Shopping campaigns over the selected period.

• Significance for clusterization: Helps identify products or segments that consume the largest part of your budget. In combination with ROAS or Conv. value, it shows whether these costs are effectively spent.

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Knowledge of these parameters and their significance is the first step to effectively setting up your clusterization strategy. In the next section, [Parameter Selection Strategy](./parameter-selection-strategy.md), we will look at how to meaningfully combine these parameters.