The “Engagement - Comments” module in the OnSight system serves as a centralized management hub for comment messages across multiple social platforms. It enables real-time synchronization and unified management of all comment messages from authorized platforms, including Facebook, Instagram, LinkedIn, VKontakte, TikTok, and Threads.

Through this module, operators can reply to comments and review historical comment records across platforms within a single interface, eliminating the need to switch between native social platform backends. This significantly reduces operational overhead. In addition, the module retains complete comment data to support post-campaign review, process auditing, and user behavior analysis, ultimately enhancing overall team collaboration and operational efficiency.

Access Path: Left-side navigation menu → Engagement → Comments

1. Filtering Capabilities

Supports multi-dimensional, combined filtering to help users quickly locate target messages and substantially enhance message search and processing efficiency. Available filters include:

Keywords: Search and filter based on message content or contact information.
Date: Filter by custom time ranges or relative periods (e.g., last 7 days, last 30 days).
Profiles:
- Profile: Filter by social accounts across different platforms.
- Profile tags: Filter by configured social account tags (Prerequisite: tags must be manually assigned to accounts in advance).
Message Type: Filter by comment type, including standard comments supported across all platforms and ad comments supported only on Facebook and Instagram. Users can also filter to view completed or sent messages.
Interaction tags: Filter content by interaction tags (Prerequisite: tags must be manually assigned to content in advance).
Contact tags: Filter content by contact tags (Prerequisite: tags must be manually assigned to contacts in advance).
Sentiment: Filter messages by sentiment, such as positive or negative.
Priority: Filter by message handling priority.
Message intent: Filter by identified intent types, such as complaints or praise.
Languages: Filter by the language used in messages (e.g., German, English).
Internal Notes: Filter based on whether internal notes have been added.
Settings:
Configure automatic completion rules via toggles to mark messages as completed when specific actions are performed, including:
- Automatically mark as completed when hiding or deleting a comment
- Automatically mark as completed when liking a post or comment
- Automatically mark as completed when marked as spam message

2. Supported Actions

2.1. Post-Level Operations

2.1.1 Batch Operations

Users can select multiple comments for batch processing and perform the following actions simultaneously to improve content management and message handling efficiency:

View or Edit: Languages, message intent, sentiment, priority
Add or Remove: Interaction tags
Status Management: Hide / Unhide, Delete, Mark as Incomplete / Mark as Completed, Mark as Spam / Remove from Spam.

2.1.2 Single Post Actions

Depending on the supported platform and message type (subject to actual UI display), users can perform the following actions on individual messages:

Basic Information

View conversation
View post on platform
View content type
View publish time
View follower count (Available on some platforms when the author has a large follower base)

Engagement Actions

Reply
Mark as Spam / Remove from Spam
Like / Unlike (Supported on selected platforms)
Hide / unhide (Supported on selected platforms)
Delete messages (Supported on selected platforms)

Internal Management

Add / remove interaction tags
Add / remove internal notes
Mark as completed / Mark as Completed

Message Attribute Management

View / edit languages
View / edit message intent
View / edit sentiment
View / edit priority

2.2 Conversation Detail Page Operations

By selecting View Conversation, users can access the conversation detail page to centrally view and manage the conversation and all associated content.

Within the conversation detail page, users can view and manage comment content along with its contextual information, while performing engagement actions and maintaining tags.

Post-Level Actions
On the conversation detail page, users can perform the following actions on the original post:
- Comment on or reply to the original post
- View post on platform
- Translate post content
- Mark all messages in the current conversation as Completed
- Export conversation details

Comment Management
Users can manage comments under the post with the following actions:
- Expand to view more comments
- Like / Unlike
- Hide / Unhide comments
- Delete comments
- Mark as Spam / Remove from Spam
- Add / remove interaction tags
- Add / remove internal notes
- Mark as Completed
- View / edit languages, message intent, sentiment, and priority

Contact Details
On the conversation detail page for any message type, users can maintain and manage associated contact information with the following capabilities:
- Open the contact profile on the native social platform
- View contact behavior analytics (message volume, sentiment tendency, commonly used languages, recent activity time)
- Add / remove contact tags
- Edit basic contact information (company, job title, phone number, email, etc.)
- Add internal collaboration notes to support team coordination and follow-up tracking

3. Export

Supports one-click export of all content under the current filter conditions to XLSX (.xlsx) format, enabling data retention, analysis, and cross-system integration.