Chatbot Retention Metric Formula

Learn, share, and connect around europe dataset solutions.
Post Reply
sakibkhan22197
Posts: 238
Joined: Sun Dec 22, 2024 3:55 am

Chatbot Retention Metric Formula

Post by sakibkhan22197 »

Chatbot Dialogue Volume Metric Formula
How to improve the indicator:

Increase the number of touchpoints with the bot. Add the bot to key pages of the site and integrate it into messengers so that users can interact with it in a convenient place.
Develop the bot's functionality. The more tasks the bot can solve, the more often it will be accessed. For example, you can add the ability to track orders or make appointments directly through the bot.
Set up proactive mechanics. Triggers that launch the bot when the user is actively behaving (such as staying on the page for a long time or visiting again) encourage conversation.
Try setting up a chatbot in the convenient Carrot quest constructor.
The service has ready-made templates that will help a specialist without layout and design skills to assemble and launch trigger mechanics on their own.

Test Carrot quest
User retention
Shows what proportion of people return to interact with the chatbot again after using it for the first time. This is an important indicator of loyalty and interest, which helps to assess how useful and convenient the bot was for users.

A high retention rate indicates that the bot meets audience expectations and solves problems effectively. Low retention may indicate problems with functionality, script, or user experience.

How to improve the indicator:

Add personalization to your conversations. Consider previous interactions and address the user by name.
Improve user experience. Optimize the interface and response list of netherlands cell phone number speed. The easier and more pleasant the interaction, the more likely users are to return.
Integrate a loyalty program. Reward users for active interaction. For example, for a certain number of requests, the bot can offer bonuses or discounts.
Rejections and Waiting Times
Shows how many users stopped interacting with the bot without completing the conversation. This is a key metric that reflects problems with engagement or service quality. Waiting time is the interval between the user's request and the bot's response. Long waiting times can lead to abandonment and a worse impression of the service.

A high bounce rate signals that users are not getting the results they expected or are losing interest. It is also important to track wait times, as even small delays can cause interrupted conversations.

Chatbot Bounce Metric Formula
How to improve the indicator:
Post Reply