Track your sales

Our Analytics tool allows you to monitor your book sales performance - our tool allows you to filter data by sales period, title, ISBN, author, or library.

You can also see your data divided into temporary sales and confirmed sales.

PLEASE NOTE. Following a server update from March 2021, Analytics will now return temporary sales starting from November 2020 and confirmed sales starting from November 2019. We remind you that you can get actual sales details of your items by downloading your invoices' analytical reports, as explained in this article.

Scrolling through the page, you will find different charts and tables that show the data based on Format, Business Model, Stores, Titles, Categories, and so on.

At the top, you'll find the Trend Chart organized by Revenue, Units, and Transactions; immediately after this section, you can view your revenues organized by Format and Business Model.

In the next section you’ll see a Chart View, which organizes the data into rankings by Store, Title, Category, Top Authors, Languages, Publishers, and so on. You can view the details of each ranking by clicking on the row of your intere

Further down, you will find the section "View by Unit" which gives you information about the units that have been subjected to one or more transactions (see below the section "filters" for the difference between units and transactions), and the section "View by Transactions" which provides the detail of individual purchases from your catalog.

For each View, you can see the Detail and download the data in csv format by clicking on “Go to details” and then on “Download”.

As with the dashboard, each box or graphic shows the percentage of your sales performance compared to a previous period, so you can immediately see how your business is going.

Filters

The Analytics tool organizes sales data according to three main parameters and shows you, by default, the sales data recorded in the last 30 days for the following:

  • Revenues
  • Unit: a section where sales transactions are aggregated per item (Unit)
  • Transactions: a section where individual transactions are listed. 

Difference between Quantity and Unit. A Unit is a single item subject to one or more transactions. A Transaction is a single sale action for a specific Unit.

Analytics provides main parameters and a data filter (at the top of the tool) as well as different filters that will help you organize your data according to your needs: 

All charts and page views can be organized and updated based on the filters you set.
You can also filter by multiple ISBNs at once - you just need to enter the codes separated by a space.

IMPORTANT: The date filter allows you to set intervals of a maximum of twelve months.

How to save a filter: Analytics allows you to save your filters with customized parameters to activate them when you want: this function is very useful if, for example, you need to check certain parameters more frequently because they are particularly relevant for the performance analysis of your catalog. 

To save a filter, set the reference parameters and simply click on "Save".

To activate a previously saved filter, click on "Manage" and select the filter you have previously saved. You can change the name, copy a saved parameter, or delete a saved filter from the Manage section.

Compare the data.  The function "Compare with" is another development of this new version and allows you to compare displayed data with a chosen period.

The “compare with” function can be set from the date filter selector.

What is the difference between temporary data, confirmed data and Estimated consumption?

  • We calculate TEMPORARY data on averages and estimates to provide the bigger picture of your day-over-day performance.
  • CONFIRMED (and final) data is sent by the stores as part of the end-of-the-month sales reports and refers to the actual billed sales. In every quarterly draft invoice, you will find only confirmed data, which may differ from temporary data. CONFIRMED sales data are communicated to us by the same stores at the end of the month - for example in the case of returns or item price changes.

Recognizing the significance of obtaining comprehensive data regarding catalog distribution, we have enhanced our Analytics by introducing a dedicated section focused on analyzing data consumption for subscription applications. Specifically, data refer to sales recorded in the daily reports of platforms with a subscription model. These data are estimations and may undergo minor revisions. The estimated consumption hours indicate the duration of listening or reading offered by subscription platforms operating on a per-minute basis.

To view the data, just click on the new icon Estimated Consumption.

How often is the data updated?

  • Temporary data is updated daily.
  • Confirmed and final data will be available at the end of the month following the sale.

To give you an example: for November sales data, during the month of November, we show only temporary and statistical data. We will receive the final November sales data from international stores at the end of December. At this point (during the beginning of January), we can report them in your chart as confirmed sales for the actual month of completion, that is November, and replace the statistical data. You will see November CONFIRMED sales in the chart, but they will be available only at the beginning of January.

  • Some stores such as Google Play and Kobo do not transmit free downloads data, therefore Analytics won't be able to monitor them.

Which stores do not provide temporary data?

Currently, Analytics does not show temporary data of all stores. Some stores only provide us with actual confirmed data. For example, you will see November's actual data for these stores only at the beginning of January - during November no statistical data will be shown.

PLEASE NOTE Our procedures for royalties billing and payment are based only on actual end-of-the-month data and don't take into account temporary data. Therefore, any potential comparison between Analytics data and amounts received by payment won't be reliable.

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