Sales Analytics

The report allows you to evaluate the effectiveness of product placement on the Market:

• check how many impressions the product has;
• track the conversion of adding products to the cart and orders;
• evaluate the effect of the selected promotion tools.

The data is updated with a delay of up to 4 hours.

How to work with the report

You can view the report in the cabinet on the page Analytics → Sales Analytics.

The report collects statistics for all stores in the cabinet, but using filters, you can select the desired period and segment, for example, view products from only one of your stores or products from a specific brand.

What filters are there in the report

• Details for the period — you can choose a week, a month, or set your own time interval. Data is available from January 1, 2023.
• Your SKU or product name — search for products from your catalog.
• Brand — manufacturers of goods.
• Category — the categories of the Market catalog that your products belong to.
• Shop — you can choose a job model or a specific store.
• Promotion — you can leave on the chart and in the table only those products that participated in the promotions during a given period.

Chart Dynamics of orders and impressions reflects how the number of impressions of your products has changed, as well as the amounts of ordered and delivered goods. You can use it to check:

• how the number of impressions is related to the amount of orders created;
• how often does the number of orders created not match the number of delivered ones - this may be, for example, due to a long delivery or problems with it;
• is there an increase or decrease in product sales turnover during the selected period.

You can choose which attribution model to use to display data on the graph:

• By creation date — attribute created orders and delivered goods to the date of order creation.

  Example

  On January 28, customers ordered 2 items in the store for 300 rubles. The next day, the chart for the 28th day will show that the amount of ordered goods is 600 rubles, and the amount of delivered goods is 0 rubles.

  After the delivery of these goods, if you generate a report, the graph for the 28th day will show that both the amount of ordered goods and the amount of delivered goods will be 600 rubles each.

  If the amounts of ordered and delivered goods differ on the selected date, it means that some of the ordered goods have not yet been delivered for some reason.

• By date of the event — attribute created orders to the creation date, and delivered orders to the delivery date. In this case, the amount for the delivered goods may be greater than the amount for the created orders. Items delivered on the same day may include items ordered several days ago.

  Example

  On January 28, customers ordered 2 items in the store for 300 rubles. The next day, the chart for the 28th day will show that the amount of ordered goods is 600 rubles, and the amount of delivered goods is 0 rubles.

  On January 29, customers received the ordered goods. The schedule for the 28th will be the same, the schedule for the 29th will show that the amount of ordered goods is 0 ₽, and the amount of delivered orders is 600 ₽.

The table contains data on all customer interactions with each of your products — from viewing the card to receiving the order.

The data in the table can be grouped by categories or brands — then the columns will show the total values for all products of the selected category or brand. With grouping by product, you can find, for example, the best—selling and most in-demand product, and with grouping by category or brand, you can find out which category and which brand give you the highest percentage of revenue.

In the table settings, you can select the indicators from which you want to create a sales funnel:

• Visibility index — the share of your impressions from all potential product impressions, that is, from impressions with a minimum price, fast delivery and customized promotion. It is recalculated once a day and reflects the average value for the last 7 days. A dash means that the product had less than 100 impressions.
• Displays of my products — how many times have customers viewed your product offer on the Market? For example, on product cards, category pages, and in search results.
• Share of impressions with boost — the percentage of product impressions for which a sales boost is enabled in boost blocks. It is calculated from the total number of impressions.
• Conversion from impression to cart — the percentage of additions to the cart from the total number of impressions.
• The percentage of added products with a boost to the cart — the share of additions to the basket from boost blocks from the total number of additions to the basket.
• Adding to cart — how many times have your products been added to the cart on The market.
• Ordered goods — how many of your products were ordered on the Market.
• Ordered goods in the amount of — total revenue from ordered goods. The amount for each order consists of the amount that the buyer paid and the discount compensation from the Market, if the product was bought with such a discount. Here, the Market shows the trend: how much this value has increased or decreased compared to the previous period.
• Conversion from shopping cart to order — the share of orders from the total number of additions to the cart.
• The share of ordered goods with a boost — the share of orders from boost blocks from the total number of impressions of these products.
• Delivered from ordered during the period — how many of your products have been delivered to customers. Items that have been paid for and delivered are counted, even if they have been returned.
• Delivered for the amount ordered during the period — total revenue from all delivered orders. The amount for each order consists of the amount paid by the buyer and the discount compensation from the Market, if the product was bought with such a discount. Items that have been paid for and delivered are counted, even if they have been returned.
• Delivered during the period — the number of goods delivered during the selected period.
• Delivered for the amount for the period — the amount of goods delivered for the selected period — regardless of the date of the order.
• Cancellations and non-purchases — how many times during the selected period the order with the product was canceled or the buyer did not pick it up.
• Returned items — the number of product returns per period.

The report with the table can be downloaded in two formats:

• by day — the file will contain detailed information for each day of the period for each product.
• general — the file will contain summary information for each product for the period, without detailing by day.

How is the report useful?

Find the reason for low sales

The report will help you understand which categories, brands and products sell best, and which ones need to be worked on — and at what stage of the sales funnel.

To identify the reason for low sales, group the data by category and look at the numbers at this level. Evaluate which categories, brands and products are bought the least often and at which step customers refuse to buy.

Now you can analyze the data for individual products: set the desired category in the filter, and the report will summarize the data for each product from it. This way you will see which products to pay attention to first.

Understand how to increase impressions

Column Visibility index it will help you see the potential of your impressions. Depending on the values of this indicator for each product, you will receive tips on price management, speeding up delivery, filling out a card and using promotion tools.

Evaluate the promotion tools

Columns Share of impressions with boost, The percentage of added products with a boost to the cart and The share of ordered goods with boost they will help you evaluate how the sales boost works for your products. What is a sales boost?

To evaluate how much the shares contribute to sales, use the filter Promotion select two types of data display in turn — first all products, and then only those products that participated in the promotions, Products in promotions without auto participation. By comparing the two graphs, you will determine how much impressions have grown.

Identify the best-selling products

Sort the data in the report by indicators Delivered goods and Delivered goods in the amount of to find out which products from your assortment sell best — it will be convenient for those who have a large assortment of products in their office.

Find products that may have problems

Look at the orders with which products customers most often do not pick up, return or cancel. Check if everything is in order with them: maybe incorrect information is indicated in the product description, or more reliable packaging is needed for the delivery of this product, because it often turns out to be damaged on the way.

Analyze categories, brands and products

Group the data by category and see the total impressions, orders, conversion and revenue, as well as the trend in revenue — compared to the previous period. This will help you compare categories, brands and products among themselves and prioritize: find those that bring you more benefits and those that do not sell very well.