This metric displays the total value of the deals won for each organization in Pipedrive. It helps track the sales performance of each organization and highlights any top-performing clients.
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 Deals Won Amount by Organization using Databox, follow these steps:
Deals Won Amount in Pipedrive is a metric that shows the total value of all the deals that have been successfully closed or won. It helps to track the revenue generated from sales.
This metric tracks the number of deals lost by a specific deal owner within a given time period, providing insight into individual performance and potential areas for improvement.
Deals Lost by Reason metric helps you track and analyze the reasons behind the lost deals in your pipeline, enabling you to adjust your sales strategy.
Deals Lost Amount is a Pipedrive metric that shows the total value of deals that were lost, i.e., deals that were not closed successfully, in a given time period. It helps identify areas for improvement in the sales process and can aid in making data-driven decisions to increase revenue.
The Deals Lost Amount by Deal Owner metric shows the total value of deals that have been lost by each deal owner in Pipedrive, allowing for easy identification of which salespeople may need additional training or support.
Activities Added by Owner measures the number of tasks, emails, calls, and other activities added to a contact or deal by the account owner.
The Tasks Added by Assignee metric shows the number of tasks that have been added by a specific user within a specific time frame. It helps track individual productivity and provides insights into task management.
The Deadlines Added metric in Pipedrive tracks the number of new deadlines that have been created for deals and activities within a specified time frame.