ReComAI Analytics Dashboard Guide
Understand chatbot performance, engagement, and sales insights using the Analytics dashboard
The ReComAI Analytics Dashboard provides a detailed overview of your chatbot’s performance and user interactions. It helps you understand how users interact with your chatbot and how effectively the chatbot supports your business.
Using the analytics data, you can analyze different aspects of chatbot activity, such as:
Conversations between the chatbot and users
User engagement levels
Sales-related interactions
Customer support queries
Frequently asked questions
Feedback on chatbot responses
This information helps you better understand your chatbot’s performance and identify areas where you can improve responses or update your knowledge base.
If you have multiple chatbots configured, you can use the Select Agent option to view analytics for a specific chatbot.
You can also use the Select Time Period option to analyze data for a specific month or selected date range.
Analytics Dashboard Tabs
The ReComAI Analytics Dashboard is divided into different sections to make it easier to analyze chatbot performance from multiple perspectives.
The Analytics section includes the following tabs:
Engagement
Conversation Quality
Sales
Customer Support
Product Insights
Each tab provides insights into a different type of chatbot activity.
Path:
ReComAI Dashboard → Analytics → Engagement Tab
1.Engagement Tab
The Engagement Tab displays key interaction metrics that help you understand overall chatbot performance.
Total Conversations
This metric shows the total number of conversations between users and the chatbot during the selected time period.
Every time a user starts interacting with the chatbot, it is counted as a conversation.
This helps you understand:
How often the chatbot is being used
How frequently users interact with it
Returning Users
The Returning Users metric shows how many users came back and interacted with the chatbot again.
This helps you understand:
Whether users find the chatbot useful
Whether users are returning to interact with it again
A higher number of returning users usually indicates a better user experience.
Average Messages per Conversation
This metric shows the average number of messages exchanged in a single conversation.
It helps you understand how detailed the conversations are between users and the chatbot.
A higher number may indicate that:
Users are asking detailed questions
The chatbot is successfully engaging users
Total Sessions
The Total Sessions metric shows how many times users opened the chatbot and started interacting with it.
A session is counted when:
A user opens the chatbot
A conversation begins
This helps you understand how frequently the chatbot is being accessed.
Conversations Over Time
This section includes a graph showing the number of conversations over the selected time period.
With this graph, you can easily identify:
Which days the chatbot was used the most
Trends in user engagement
Growth or decline in chatbot usage
This information can help you analyze user behavior and marketing campaign performance.
Sessions Distribution
The Sessions Distribution chart provides a visual overview of the total chatbot sessions.
It helps you understand how often users are accessing the chatbot and the overall volume of interactions.
This data is useful for evaluating the chatbot’s engagement level.
Engagement by Country
This section shows a world map visualization indicating where chatbot users are located.
Highlighted countries represent regions where chatbot interactions are happening.
This helps you:
Understand the geographic distribution of your audience
Identify which regions have higher chatbot usage
This information is especially useful for businesses with a global audience.
Top Keywords
The Top Keywords section shows the most common keywords or queries users ask the chatbot.
These keywords are automatically generated based on user conversations.
This information helps you:
Identify common customer questions
Improve your knowledge base
Prepare better product recommendations
If certain keywords appear frequently, you can add better responses or related knowledge base content.
Engagement by Channels
The Engagement by Channels section shows the distribution of chatbot interactions across different channels.
In future updates, this section will allow you to see which channels users use to access the chatbot, such as:
Online Store
This helps you identify which platforms generate the most chatbot engagement.
If one channel shows higher activity, you can optimize your chatbot strategy for that platform.
2.Conversation Quality Tab
The Conversation Quality Tab provides insights into the quality of interactions between the chatbot and users.
It helps you understand how effectively the chatbot responds to user queries and how users react to those responses.
You can use the Select Agent option to analyze conversation quality for a specific chatbot.
You can also use the Select Time Period option to view data for a specific time range.
Total Support Conversations
This metric shows the number of conversations where users requested human support during the selected time period.
Support requests may occur when:
The chatbot cannot fully resolve a query
The user requests assistance from a human agent
This metric helps you understand both chatbot performance and how often users require human help.
Total AI Messages
This metric shows the total number of AI-generated responses sent by the chatbot to users.
It helps you understand:
How active the chatbot is
How often the chatbot responds to user queries
This metric is useful for analyzing overall chatbot usage and interaction levels.
Thumbs Up Messages
The Thumbs Up Messages metric shows how many positive feedback reactions users gave to chatbot responses.
This indicates that users found the response helpful.
Thumbs Down Messages
The Thumbs Down Messages metric shows how many negative feedback reactions users gave to chatbot responses.
This helps identify areas where chatbot responses may need improvement.
3.Sales Tab
The Sales Tab helps you understand how the chatbot influences sales and conversions.
In this section, you can see:
How many users showed interest in products
How many Add to Cart actions happened through the chatbot
How the chatbot contributed to the purchase journey
You can use the Select Agent option to analyze the sales performance of a specific chatbot.
You can also use the Select Time Period option to analyze sales data for a selected month or date range.
Adds to Cart: Impact via ReComAI
This section provides an overview of Add to Cart interactions generated through the chatbot.
These metrics help you understand how effectively the chatbot guides users to explore products and add them to their cart.
Total ReComAI Add to Carts
This metric shows the total number of times products were added to the cart through the ReComAI chatbot.
It helps you understand how much the chatbot contributes to the purchase journey.
Cart Click Rate
The Cart Click Rate shows the percentage of sessions where users clicked Add to Cart after interacting with the chatbot.
This metric helps measure the chatbot’s influence on sales.
A higher rate usually indicates that the chatbot’s product recommendations are relevant and helpful.
Sessions with Cart Clicks
This metric shows the number of user sessions where an Add to Cart action occurred.
It helps you understand how many sessions successfully led users toward adding products to their cart.
Average Clicks per Session
This metric shows the average number of Add to Cart clicks per session.
It helps you understand how many products users typically add to their cart during one session.
Cart Adds Performance Trend
This section includes a graph that shows Add to Cart activity over time.
Using this graph, you can identify:
Which dates had the highest Add to Cart activity
Changes in sales engagement
Trends in chatbot performance
This visual trend helps you track sales performance over time.
Cart Click Performance & Growth
This section shows growth and performance metrics related to Add to Cart actions.
Cart Click Growth
This metric shows the increase or decrease in Add to Cart clicks compared to the previous period.
It helps you track whether chatbot-driven sales interactions are improving.
Previous Month Clicks
This metric shows the number of Add to Cart clicks recorded in the previous month.
It helps you compare current performance with past data.
Total Sessions
This metric shows the total number of chatbot sessions during the selected time period.
It helps you understand the overall volume of chatbot interactions.
Conversion Rate
The Conversion Rate shows the percentage of sessions that resulted in an Add to Cart action.
This metric plays an important role in measuring the chatbot’s sales effectiveness.
Recent Cart Click Sessions
This section shows the most recent user sessions where an Add to Cart action occurred.
Here you can see:
Which user clicked Add to Cart
The date of the interaction
How many cart clicks occurred in that session
This information helps you track recent sales activity and understand user behavior.
Summary
The ReComAI Analytics Dashboard helps you track how users interact with your chatbot and how it contributes to engagement, support, and sales. By analyzing metrics across different tabs such as Engagement, Conversation Quality, and Sales, you can understand chatbot performance, user behavior, and conversion trends.
These insights help you improve chatbot responses, optimize product recommendations, and enhance the overall customer experience.