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

  1. Navigate to the Sprinklr Platform, and click the New Tab icon. Under the Sprinklr Social tab, click Reporting within Analyze.

  2. 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.

  3. Now click on Sprinklr Copilot icon at the top right corner to open the copilot chatbot for your inbound data queries.

  4. Copilot processes inbound data (comments and interactions).

  5. It analyzes sentiment and intent across the selected scope (post, campaign, or account).

  6. Results are presented as summaries, distributions, and visual insights.

  7. 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