Magic quadrant

Modified on Thu, 29 Oct at 1:16 PM

The Magic Quadrant plots each monitored shop as a bubble. Its height shows how the shop's prices compare to yours, its position along the horizontal axis shows how many products you share, and its size shows how often it changed prices in the last 30 days. Use it to see which shops price above or below you on the products you have in common.

Open it from Analytics in the left sidebar, then click the Magic Quadrant tab.

Analytics in the left sidebar and the Magic Quadrant tab

Read the chart and table

  • Price Index (vertical position): A higher bubble means the shop prices higher than you. A lower bubble means it prices lower than you.
  • Common Products (horizontal position): The number of products that appear in both your listings and the shop's.
  • Price Changes Activity (bubble size): The number of price changes in the last 30 days. Larger bubbles mean more frequent changes.

Note: The chart shows the 10 shops with the most matched products. The table below lists all of them.

The table lists, for each shop, the Matched Products, the Price Indexing and the Activity (price changes in the last 30 days). Click Show in the last column to see all the matched products for that shop.

Note: Price Indexing is the shop's prices as a percentage of your prices on the products you both sell. 100 means the shop is priced the same as you. Above 100 the shop is more expensive than you, and below 100 it is cheaper.

The shops table below the chart

Filter the data

Use the Brands and Categories lists above the chart to narrow the data. Click More filters to filter by tags, SKU or availability.

Brand and category filters

Explore the details

Hover over a bubble to see the exact price index, number of common products and activity for that shop.

Tooltip shown when hovering over a bubble

In the table, type in the box under a column header to filter the rows. Click a column header to sort. Click Show to drill down into the individual products and compare your prices with the shop's.

The Show button in the table

Export the data

To use the data elsewhere, click the download button above the table to save it as a CSV file.

The download button

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