The Pending by Type metric in PayPal can help you track the total amount of pending transactions based on the type of transaction, such as payments, refunds, or chargebacks.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Pending by Type using Databox, follow these steps:
The Balance by Currency metric displays the sum of available funds in different currencies on a PayPal account. It allows users to have an overview of their account balance in specific currencies for easy management and tracking.
Fees by Currency is a metric that displays the fees charged by PayPal for transactions made in different currencies. The fees vary depending on the currency being used for the transaction and are displayed in the seller's account.
Net Sales is the total revenue generated by a business or organization after deducting any returns, discounts, and allowances from the gross sales.
Net Sales by Currency metric measures the total sales revenue generated by PayPal transactions in different currencies after accounting for refunds, chargebacks, and transaction fees.
Incoming Refunds metric measures the amount of money refunded back to a merchant's account from their customers. It helps businesses track their refund transactions and ensure customer satisfaction.
The Gross Amount (Payments Sent) by Currency metric refers to the total amount of money sent in payments by currency type within a specific timeframe.
The Transactions by Status metric provides a summary of the different transaction statuses (e.g. completed, pending, refunded) in a given time period. It helps identify trends and potential issues in payment processing.
The Transactions metric tracks the number of completed payments or purchases made through PayPal within a certain time period. It helps businesses understand their sales volume and customer behavior.