Sprinklr Copilot for Social - Inbound Summary
Updated
Overview
Reporting Copilot expands its capabilities with Inbound Summary, enabling a more comprehensive view of social performance by incorporating audience interactions.
Previously, Copilot focused only on outbound data, such as posts published, likes, and engagement metrics. With inbound support, it now analyzes comments and conversations, helping users understand not just how content performs, but how audiences respond.
Note:
Sprinklr Copilot for Social is now generally available and will be accessible to all users of Sprinklr customers as a GA feature. If you require user-level permission control for Sprinklr Copilot for Social, please reach out to your Success Manager (SM) or raise a ticket at support@sprinklr.com.
We support OpenAI’s GPT, Gemini and Bedrock in Sprinklr Copilot for Social.
Scope and Features
1. Comment Summarizer
Collects comments across posts, campaigns, or accounts
Condenses them into concise, easy-to-read summaries
Highlights key discussion themes without manual review
2. Sentiment Analysis
Classifies comments into: Positive, Neutral, and Negative
Displays sentiment distribution for quick insights
Supports drill-down into detailed comments via the third pane

3. Intent Detection
Identifies the purpose behind comments, such as:
Complaints
Compliments
Enquiries
Leads
Enables better prioritization and response strategies
4. Integration Points
Inbound insights are available across:
Planner Screen (content scheduling and planning)
Reporting Screen (analytics and performance)
How it Works
Navigate to the Sprinklr Platform, and click the New Tab icon. Under the Sprinklr Social tab, click Reporting within Analyze.
Click the Create Dashboard icon in the top right corner of the Reporting Dashboard, or search for an existing dashboard in the Search Bar on top of the screen.
Now click on Sprinklr Copilot icon at the top right corner to open the copilot chatbot for your inbound data queries.
Copilot processes inbound data (comments and interactions).
It analyzes sentiment and intent across the selected scope (post, campaign, or account).
Results are presented as summaries, distributions, and visual insights.
Users can drill down into detailed comments via the third pane.
Expected Outputs
Comment Summaries at post, campaign, and account levels
Sentiment Distribution (positive, neutral, negative)
Intent Detection Insights (complaints, compliments, enquiries, leads)
Comment Distribution displayed within Sources in the third pane
Drill-Down View for detailed comment-level analysis
Output Overview
Copilot provides a structured response that includes:
A summary of key audience discussions
Sentiment breakdown to understand overall perception
Intent classification to identify audience needs
Visual distribution of comments for deeper insights
Sample User Queries
Post Level
“How many positive vs. negative comments did my LinkedIn post yesterday receive?”
“Summarize all comments on my recent YouTube video.”
“What are people complaining about in my latest campaign post?”
Campaign Level
“Give me a sentiment breakdown of all comments for my Diwali campaign across Facebook and Instagram.”
“Which posts under my Summer Sale campaign received the most negative feedback?”
Account Level
“Summarize all comments on my brand’s account over the last 30 days.”
“What are the recurring questions people are asking on my posts?”
Benefits
Holistic Reporting: Combines outbound metrics with inbound audience insights
Time Efficiency: Automates large-scale comment analysis
Actionable Insights: Identifies trends, concerns, and opportunities
Improved Decision-Making: Enables more informed content and engagement strategies