Click % by Email Playbook is a measure of the percentage of email recipients who clicked on a specific CTA within your email playbook. It shows the effectiveness of your email strategy and helps optimize future campaigns.
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 Click % 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.
MTFR is the duration between a customer's initial message and the first human response. It measures how quickly a company engages with its customers.
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.
Clicks by Chat Playbook is a metric that measures the number of clicks on suggested responses or actions within a chatbot conversation, indicating user engagement and effectiveness of the chatbot's pre-programmed responses.
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.
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.
The Unsubscriptions by Email Playbook metric measures the number of recipients who unsubscribe from your email marketing communications following the implementation of an email playbook.
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.