Category Analytics

Table of Contents

In the What to sell on Ozon → Category analytics section, you can:

Advanced analytics is available for sellers who already have an Ozon account.

Learn more about sales analytics

Report metrics

You can select only one metric for the report and compare from 2 to 10 categories. The report contains:

  • Filter by category: you can select the level 2 or 3 category to analyze data for it.
  • Period: select a year, quarter, 28 days, or 7 days. To check the category seasonality or evaluate the dynamics of sales in the long term, select a year or quarter. To view the current data, for example, the number of sellers in a particular category and the level of competition, select 7 or 28 days.
  • Views or groupings of data: you can distribute data by:
    • Categories.
    • Top brands: data on the best-selling brands in the category. You can determine a profitable brand to get started on Ozon.
    • Top sellers: data on the leading sellers of the category. We don’t show the store names, but you can analyze the market share that leaders hold and results you can achieve in this category.
    • Sales schemes: sales figures for FBO and FBS schemes within the category.
    • Sales geography: figures by sales clusters. Clusters are the geographical zones into which the sales statistics are divided. You can view zones where customers order products of the selected category most often. It helps decide where to supply products.
  • Dynamics graph: data for several categories within the same metric.
  • Table with metrics: figures for all metrics and parameters.

Set up filters and views of data depending on the information you want to analyze.

Learn more about analytics

Metrics for comparison

The set of metrics in the table depends on your settings.

Metric Meaning Usage
Total booked, ₽ Total product turnover. Compare figures for categories, brands, and regions to decide where to supply products.
Total booked, dynamics, % Change in turnover in relation to the previous period. For example, if you select a year period in filters, we show how the turnover has changed compared to the previous year. Identify trends by category to choose the profitable category when getting started on Ozon.

For example, if a category has low sales volume, but it has grown significantly over the past year, this tendency may maintain and the category may continue growing.
Ordered, pieces Quantity of ordered products. Estimate the demand for products in a specific category.
Average price, ₽ Average selling price of a product. If you’ve sold 70 products for 1,000 RUB each and 30 more products for 1,500 RUB each, the average price is: (1,000 × 70 + 1,500 × 30) ÷ 100 = 1,150 RUB. Calculate approximate income and expenses using our online calculator.
Average price, dynamics, % Change in the average price in relation to the previous period. Keep track of the change in average product price of this category over time.
Number of sellers Number of sellers in a category. Evaluate the level of competition and calculate the average turnover of a seller in the category.
Number of brands Number of brands in a category. Evaluate the monopoly level in the category.
Number of sales zones Number of clusters where customers order products of a particular brand or seller. Determine the geography of brand sales and plan supplies according to regional demand.
Share of top 5 sellers, % The turnover percentage the top 5 category sellers hold. Find out if customers trust new sellers or choose to buy from the leaders of the category.

The lower the percentage, the higher the competition in the category and the more often customers buy products from different sellers.
Turnover share in a category Percentage of the total cost of orders in the selected category relative to the overall total.

You can view the percentage for a subcategory, brand, seller, scheme, or sales zone.
Evaluate the demand for products of a certain subcategory and the level of competition in it.

Creating dynamics graph

  1. Set up filters and views of data.

  2. Select up to 10 metrics you want to see on the graph.

  3. To the left of the graph, select the comparison metric.

  4. The graph displays the changes in metrics within the selected period.

Working with analytics

Selecting category for sale

  1. In the filters, select a level 2 category, for example, Casual Footwear, to determine the most profitable subcategory.

  2. Select a period. If a category is seasonal, for example, it’s in demand only in autumn and winter, it’s better to view data for a year. Shorter periods are suitable for non-seasonal categories.

  3. In the Views of data block, select Categories.

  4. Create a graph using sorting to compare subcategories. To do this, you need the following metrics:

    • total turnover by category in RUB and pieces;
    • sales dynamics;
    • average product price;
    • number of sellers;
    • share of the top 5 sellers.

Selecting profitable brand

  1. In the filters, select the level 2 or 3 category in which you plan to sell products.

  2. Select a period.

  3. In the Views of data block, select Top brands.

The table displays metrics for the 30 best-selling brands in the category. To compare brands, create a graph using metrics:

  • total turnover and dynamics;
  • number of sellers;
  • turnover share.

Evaluating seller competition in the category

  1. In the filters, select the level 2 or 3 category in which you plan to sell products.

  2. Select a period. To view the current data, select 7 days, 28 days, or a quarter.

  3. In the Views of data block, select:

    • Categories, to view the total number of sellers;
    • Top sellers, to view performance of the top 30 sellers in the category.

We don’t show the store names, but you can view:

  • performance of the category leader;
  • their competitive gap;
  • their share of turnover in the category.

Selecting sales scheme

  1. In the filters, select the level 2 or 3 category in which you plan to sell products.

  2. Select a period.

  3. In the View of data block, select Sales schemes.

In the table and on the graph, we display the turnover metrics and the number of sellers working under each scheme.

Learn more about sales schemes on Ozon

Determining geography of sales

  1. In the filters, select the level 2 or 3 category in which you plan to sell products.

  2. Select a period.

  3. In the Views of data block, select Sales geography.

In the table, we display data for all clusters where customers order products of the category. Make supplies to regions where products are sold more often, so logistics is cheaper and delivery is faster.

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