Analytics overview

This guide will explain the features of the Tekst Analytics overview, ensuring you can easily access and interpret the data to make informed decisions for your business. It predicts the topics, trends, and patterns emerging from your communications. 

The overview contains 3 main parts:

1. Volume insights

The volume insights offers a detailed view of the quantity of traffic over specific periods.
This allows you to monitor the number of messages sent and received, the response time, resolution time and much more.

By analyzing volume trends, you can gain insights into communication patterns, peak activity times, and shifts in focus areas. Whether you're tracking overall traffic or diving into specific topics, Volume Analytics helps you understand the scale and dynamics of your business communications, enabling more strategic decision-making.

Learn more about how Tekst provides volume insights here

2.  Topic Insights

Topic Insights gives you a deep understanding of the specific themes and topics driving your communication.

The custom model analyzes the content of your messages to identify the most prevalent subjects, emerging trends, and shifts in conversation focus. This feature helps you stay on top of what matters most to your business, allowing you to track the relevance of topics over time and respond proactively to changes in the communication landscape. With Topic Insights, you can better align your messaging with current priorities and enhance the effectiveness of your strategies.

3.  Message Feed

The Message Feed feature provides a real-time overview of your messages.

This allows you to see individual emails alongside their associated topic predictions, giving you immediate context for each communication. By viewing the Message Feed, you can quickly assess which subjects are being discussed, identify important trends, and gain a clear understanding of your email traffic's content flow. This feature streamlines the process of monitoring and managing your communications, making it easier to stay informed and responsive to the evolving needs of your business.

4. Topic Discovery

Topic discovery uses AI to analyze messages across your inboxes and automatically identify the most common topics your team handles. You can use discovered topics to bootstrap a classification model without manual setup.

Learn more about topic discovery.