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:
Fees are the charges assessed by PayPal on transactions, including currency conversion fees, cross-border fees, and merchant processing fees. They are determined based on the type of transaction and the parties involved.
Net Sales is the total revenue generated by a business or organization after deducting any returns, discounts, and allowances from the gross sales.
Gross Sales is the total amount of revenue generated by a business before any deductions or expenses. It includes all sales, refunds, and chargebacks.
The Shipping Costs by Currency metric shows the total amount of shipping costs paid by buyers in different currencies. It helps sellers understand their international shipping revenue and identify opportunities to optimize their shipping pricing strategies.
Refunds by Currency is a metric that tracks the number and value of refunds issued in different currencies by a PayPal account. It helps to understand the distribution of refund requests and costs across various currencies.
The Gross Amount (Payments Sent) by Transaction metric refers to the total amount of money sent by a seller to a recipient, before any fees or discounts are deducted. It helps track the total revenue generated by each transaction.
Pending is a temporary state for transactions in PayPal where the payment is being reviewed or verified before it can be fully cleared and completed.
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.