Sprinklr Copilot for Social - Planner Summary
Updated
Planner Summary delivers users a concise, actionable summary of their Editorial Calendar/Planner, highlighting post distribution and optimization opportunities across multiple dimensions - tailored to any filters or selections applied on-screen.
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.
Use Cases
Avoid Content Overload for Better Performance
As a social media manager, I want to ensure that time slots in the Editorial Planner are not overloaded with content, as this can negatively impact engagement and reach.
Get a Comprehensive Summary of Planner Activity
As a user, I want to view a concise summary of the Planner view, including a status-wise breakdown of posts and details of any post failures or rejections. The report should provide insights such as delayed approvals, actions needed for backdated drafts or failed posts, pending approvals, and an overview of published content.
Optimize Scheduling with Data-Driven Recommendations
As a user, I want to know the best times to schedule posts for my accounts in the upcoming weeks, so I can maximize engagement and reach. These recommendations should be based on historical engagement data, current social trends, and audience activity patterns.
Navigation Steps
Open the Planner/Editorial Calendar screen in Sprinklr.
Click on the Sprinklr Copilot for Social icon.
In the Copilot Modal, a quick prompt titled Summarise Calendar is displayed (alongside Post Discovery & FAQ prompts).
On clicking this prompt, a customized Planner Summary is generated.
You can also generate a summary of the calendar while typing out messages like Summarise the Planner, Can you summarise this.
Sections of Planner Summary
The Planner summary provides insights into various aspects of your content performance, including:
Distribution of posts by channels - highlights where most of your content is being published and which platforms have the highest engagement. For example: X is the leading channel with x posts, accounting for ~x% of total posts. The least used two channels (Y, Z) contributed fewer than y posts each, together accounting for less than z% of total posts.
Distribution of media types by usage frequency - showcases which formats, such as photos, videos, or links, are most commonly used. For example: Photo is the most frequently used media type with x posts, accounting for ~x% of total posts, followed by Video with x posts (~x%). The least used media type - PDF (x posts)— contributed fewer than x posts, accounting for less than x% of total posts.
Distribution of posts by status - shows distribution of post volume by their current status. For example: x posts (~x%) were successfully published and y posts (~y%) failed to publish, while x posts (~x%) remain in draft status.
Distribution of posts by accounts - helps identify which accounts are most active and contributing the most content. For example: Account name 1 has x posts, accounting for ~x% of total posts, making it the account with the highest post volume. The least used x accounts (including Account name 2, Account name 3, and Account name 4) contributed x or fewer posts each, together accounting for less than x% of total posts.
Distribution of posts by campaigns - reveals which campaigns drive the highest posting volume and which ones are used less frequently, offering a clear view of campaign-level performance. For example: The leading campaign - name 1 has x posts, accounting for ~x% of total posts. The least used x campaigns (including name 2, name 3) contributed fewer than x posts each, together accounting for less than x% of total posts.
Note: All the above summaries will dynamically reflect and adhere to the active on-screen filters applied by the user (such as Account, Channel, Media Type, Status, Campaign, Approver, Created By, and Date Range), ensuring that the insights are generated based on the filtered dataset only.