This metric shows the total revenue generated by each product family for all successfully closed deals.
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 Opportunities Won Revenue by Product Family using Databox, follow these steps:
Opportunities Won Revenue is a metric that reflects the total revenue earned from all closed deals won within a specified time frame.
Opportunities Won Count by Owner is a metric in Salesforce that shows the number of opportunities that have been won by each owner. It helps track the sales performance of individual owners and provides insights into the overall success of the sales team.
Opportunities Lost Amount by Owner is a metric that displays the total value of lost sales opportunities for each sales rep in Salesforce.
Open Opportunities Count is a metric that measures the number of deals that are still in progress and have not yet been won, lost, or cancelled.
The Open Opportunities Amount by Opp Name metric shows the total monetary value of all opportunities that are currently open and grouped by their respective opportunity names.
Expected Revenue is a metric in Salesforce that predicts the amount of revenue a sales team is likely to generate from their opportunities. It takes into account the probability of winning each opportunity and the value of the opportunity to calculate an expected revenue value.
The New Leads metric measures the number of potential customers that have been added to a company's database within a specific period of time. This metric is important for tracking the growth of a company's prospect pool and helps identify the effectiveness of their lead generation strategies.
The New Leads by Industry metric is a measure of the number of new potential customers or prospects generated by industry category within a specified time period.