Transfer sales data into the web application manually

This article describes the options available for transferring sales data manually

Currently, there are three ways to transfer transaction data into the web application:

• Manual Entry
  
  This method is recommended if you have only a few events or campaigns and want to transfer transaction data for longer periods. You can enter the accumulated values, such as the total number of tickets sold and the total revenue for the desired period. For example, if you transfer the transaction data for a month, the total data (number of tickets sold and revenue) will be distributed across the individual days randomly.
  
  Although this method is possible for daily transaction transfers, it is less practical. You can manually enter the data day by day but must ensure no duplicate entries are made for the same day.

• File Transfer 
  
  This method is ideal if you have the daily sales data for your events. You simply select the appropriate event and download an Excel template where you enter the sales data for each day.
  
  By regularly transferring these daily sales data into the web application, you get very accurate data. This accuracy provides the best foundation for precise predictions in Lookout and enables a detailed evaluation of campaign results. Since the transaction data is recorded day by day, sales trends and developments can be tracked accurately.
  
  

• Export/Import 
  
  This method is particularly suitable for institutions uploading sales for event series or a large number of events at once. The import and export feature allows you to transfer sales data for multiple events simultaneously in one step into the web application.
  
  First, you export a file from the web application. Using the filter function, you can specify which events should be exported into the file—it is also possible to export all events at once. You can then enter the sales data for all selected events in this file: total sales and total revenue per event. A detailed breakdown by category (e.g., ticket types) is also possible.
  
  Since the tickets are automatically distributed over the period, an analysis is possible but not as precise as with the daily sales data file transfer. Nevertheless, this method provides an efficient way to process large amounts of data quickly.