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:
The Deals Lost by Deal Creator metric gives the total number and value of deals that were created by a particular user in Pipedrive but lost to competitors or did not close.
The Deals Lost Amount by Deal Creator metric shows the total amount of revenue lost in deals created by each individual team member in Pipedrive.
Deals Lost Amount by Reason is a metric that tracks the amount of revenue lost in Pipedrive's Deals section based on the reasons for losing the sales opportunity.
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 Activities Added by Assignee metric in Pipedrive measures the number of activities (e.g. calls, meetings, tasks) added by a particular user who has been assigned to work on a deal. This metric is helpful in tracking individual performance and ensuring timely follow-ups on potential sales opportunities.
The Activities Completed by Assignee metric in Pipedrive tracks the number of tasks, calls, and meetings completed by a specific team member over a given time period, providing insights into their productivity and workload.
The "Lunches Added by Assignee" metric measures the number of lunches added to a Pipedrive deal by the assigned team member. This can help track individual contribution to the sales process and identify top performers.
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.