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This dashboard is a premium feature. Contact your Customer Success Manager to enable it on your Kameleoon account.

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Recommendation dashboard

Click Analytics > Recommendations in the product recommendation interface. Here you’ll find your recommendation blocks’ performance over time. The attribution window is 7 days. If users click a recommended item and purchase it within 7 days, Kameleoon includes the purchase value in the revenue. The dashboard consists of a bar chart and a table. The chart displays your block’ performance. The period analyzed is 14 days by default, but you can change this frequency in the top right of the dashboard. Hover your mouse over the bars of the chart to access detailed data for each block. Each column displays data for each block.

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Recommendation block performance

On your Recommender blocks dashboard, click a block’s name to analyze its performance. The first open tab is Performance. The period analyzed is 14 days by default, but you can change this frequency in the top right of the dashboard. The page contains graphs and an Overview section.

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Overview

Here is the available data:

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Graphs

Each graph displays an indicator for the selected period. Hover over the graph to see the indicator for each day of the selected period.

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Sales rate

The sales rate reflects a product’s value by considering price, number of sales, and price margin (if enabled in your store settings). Values range from a minimum of 1, assigned even when the sales rate is zero because Kameleoon requires a value to rank the product, to a maximum of 30,000. Kameleoon multiplies each parameter by a weight coefficient:
  • Number of sales: weight 1
  • Price margin: weight 0.8
  • Price: weight 0.05

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FAQ

By default, Kameleoon calculates the sales rate over a 1-month period. To change the period, edit Sales rate calculation in Store settings.
The sales rate is primarily a ranking and sorting signal. Kameleoon uses it in two places:
  • Product recommendations: The Popular algorithm sorts recommended products by sales rate.
  • Search: Pass sort_by=sales_rate in the Search API to sort search results by sales rate.
Kameleoon calculates normalized_price, normalized_purchase, and normalized_margin as intermediate values for the sales rate. Kameleoon applies the same normalization formula separately to each product’s price, number of purchases, and margin.To normalize a metric, Kameleoon first calculates the vector length across all products: the square root of the sum of each product’s squared value for that metric. Kameleoon then divides each product’s raw value by that vector length, which produces a normalized value between 0 and 1.For example, with two products priced at 100,000 and 500,000:
Kameleoon then combines the three normalized values using the weight coefficients 1 for normalized_purchase, 0.8 for normalized_margin (if enabled in your store settings), and 0.05 for normalized_price.