The Replies by Email Playbook metric measures the percentage of automated email replies sent by Drift that receive a response from the recipient, indicating engagement and potential interest.
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 Replied by Email Playbook using Databox, follow these steps:
This dashboard tracks the traffic levels of visitors using chat for assistance, along with the overall performance of Drift Campaigns.
New Conversations is a metric that tracks the number of new chats or conversations initiated by website visitors or customers within a certain timeframe.
Total Conversations is a metric that measures the number of chat or messaging interactions between customers and a brand or business on Drift's platform.
The Contacts metric in Drift tracks the number of unique people who have engaged with your chatbot or been contacted by a team member, providing insight into customer interactions.
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 Conversations by Signature Playbook metric measures the number of live chat conversations initiated by a specific Signature Playbook within a given time frame.
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.