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.
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 Lost by Deal Owner using Databox, follow these steps:
The Deals Started by Pipeline metric displays the number of new deals created within each pipeline. It helps identify which pipelines are bringing in the most new business and potential revenue.
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.
The Emails Received metric tracks the number of inbound emails received by a Pipedrive user or team over a specific period of time, providing insight into the level of engagement and communication with clients and prospects.
The Activities Completed metric in Pipedrive shows the number of tasks, calls, meetings, and emails that have been marked as completed in a specific time frame. It helps track progress towards goals and assess team productivity.
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 Meetings Added metric measures the total number of new scheduled meetings added to your Pipedrive account within a specific time period. It helps track sales activities and engagement with prospects and customers.
The Meetings Added by Owner metric measures the number of meetings created by a particular owner in Pipedrive during a specified time period.
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.