Views by Signature Playbook metric tracks how many times a signature playbook has been viewed. It helps to evaluate the effectiveness of a playbook and make data-driven improvements.
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 Views by Signature Playbook using Databox, follow these steps:
The Average Time to Close (ATC) metric measures the average duration from initial contact to final resolution for a closed deal or opportunity, helping track and improve sales team efficiency.
The Median Time to Close metric measures the average amount of time it takes for a sales team to close a deal and determine the time frame for effective sales activities.
The Dismisses by Chat Playbook metric measures the number of times chat playbooks have been dismissed or closed by visitors during a conversation on the website or app. It helps evaluate the effectiveness of chat playbooks and identify areas for improvement.
The Meetings Booked by Chat Playbook metric measures how many meetings were scheduled as a result of utilizing specific chat playbooks.
The Sent by Email playbook metric tracks the number of chat invitations or links sent via email by the Drift playbook, helping to measure the effectiveness of email campaigns in driving chat engagement and conversions.
Meetings by Signature Playbook metric tracks the number of meetings scheduled through a specific Drift playbook, indicating the playbook's effectiveness in generating leads and guiding prospects towards conversions.
Click % by Signature Playbook measures the percentage of clicks on a particular signature playbook in comparison to the total number of plays it received. It helps to analyze the effectiveness of the signature playbook in driving clicks and optimizing it for better results.
CQL (Concept Drift Quantification) is a metric that measures the amount of change in the underlying concept of data over time, enabling drift detection in machine learning models.