In this section, the user can intuitively and easily find the most important metrics regarding customer and campaign data.

It is composed of 5 subsections:

1. Audience

This section presents the most relevant information about the customers of your store:

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2. Performance

In this section, a dashboard with the overall results of all channels or a particular channel is available.

3. Sales

The Dashboard shows the information related to the sales of your store. It starts with a general level, where the total number of sales, customers, billing or abandoned carts appears, and goes to a specific level at the bottom, where it is possible to consult more specific data such as sales by product type or sales by country.

This information is incredibly valuable for optimizing marketing strategies. Let's consider a scenario where we launch a promotion for a specific product. To achieve the best results, we recommend selecting that product exclusively, analyzing the day and time when it generates the highest sales, and scheduling the campaign accordingly.

For instance, based on the data, it would be ideal to schedule the campaign on a Tuesday, starting from 7 PM, as it aligns with the peak activity of your customers.

Moreover, you can combine this data with the insights available in the Audience and Segments section. By leveraging these insights, you can effectively target various customer groups such as current customers, lost customers, exclusive product customers, or even customers who have never purchased the product. This allows you to create highly personalized and targeted campaigns, resulting in significantly improved conversion rates.

4. Abandoned carts

Although the main data of abandoned carts are shown in the Sales section, due to its importance, there is a dedicated section to understand this group: number of lost orders, the billing that it implies, the category of the product, etc.

A Dashboard with data related to abandoned carts is available, starting from the activity produced in your store (it is essential to have previously connected in "Data Source" the technology of your ecommerce, for example Shopify)

5. Reports