Social Media Monitoring & Analytics

Vantage connects directly to Instagram, Meta, Threads, X (Twitter), and Reddit to pull posts, engagement metrics, and audience data. Combined with AI enrichment for sentiment analysis and topic classification, you can build real-time social listening dashboards that surface what matters — without switching between five different analytics tools.

Track Sentiment and Trends Across Every Platform

Aggregate posts from all connected social platforms, classify sentiment, and display trends.

Scenario: A brand marketing team wants a single dashboard showing how their brand is perceived across Instagram, X, and Reddit — updated hourly.

Workflow Steps:

1. Schedule Trigger — Run every hour
2. Get Posts (Instagram) — Fetch posts mentioning brand hashtags or tagged accounts from the last hour
3. Get Tweets (X) — Search for brand mentions, keywords, and competitor handles
4. Get Subreddit Posts (Reddit) — Pull posts from relevant subreddits (e.g., r/industry, r/brandname)
5. Union — Merge all three data streams into a single normalized dataset (platform, timestamp, text, author, engagement_count)
6. AI Enrichment — For each post:
   • Sentiment classification: POSITIVE, NEUTRAL, NEGATIVE
   • Topic classification: Product, Support, Pricing, Competitor, General
   • Language detection
   • Urgency score (0–100)
7. Deduplicate — Remove cross-posted content that appears on multiple platforms
8. Aggregation — Roll up by hour, platform, and sentiment for trend analysis
9. Dashboard Output — Populate:
   • Event Trends Tile — Mention volume over time, color-coded by sentiment
   • Pie Tile — Sentiment distribution (positive/neutral/negative)
   • Activity Timeline Tile — Real-time feed of the most engaging posts
   • Pivot Tile — Platform × Topic matrix showing where conversations are happening
   • Metric Tile — Overall sentiment score with 7-day sparkline

Key Nodes: Schedule Trigger, Get Posts (Instagram), Get Tweets (X), Get Subreddit Posts (Reddit), Union, AI Enrichment, Deduplicate, Aggregation, Dashboard Output

Relevant Integrations: Instagram, X (Twitter), Reddit, Meta, Threads

Surface Competitor Intelligence Automatically

Track competitor social media activity and benchmark against your own performance.

Scenario: A product marketing manager wants to know when competitors launch new features, run promotions, or generate unusual engagement spikes.

Workflow Steps:

1. Schedule Trigger — Run every 2 hours
2. Get Posts (Instagram) — Fetch competitor account posts
3. Get Tweets (X) — Pull competitor handle tweets and replies
4. Get Insights (Meta) — Pull engagement metrics for competitor pages (where accessible)
5. Union — Merge competitor data
6. AI Enrichment — Classify each post:
   • Content type: Product Launch, Promotion, Partnership, Hiring, Thought Leadership
   • Engagement tier: Viral (>10x avg), High, Normal, Low
7. Filter — Surface only HIGH or VIRAL engagement posts and any product launch content
8. AI Summary — Generate a natural-language competitor activity brief: "Competitor X launched a new pricing tier on Tuesday. The announcement received 3x their average engagement, primarily on X. Sentiment was 72% positive, with concerns about migration costs."
9. Multi-Conditional — Route by content type:
   • Product Launch → Send Email to product team + Send Message (Slack #competitive-intel)
   • Promotion → Send Message (Slack #marketing)
   • All others → Dashboard Output only
10. Dashboard Output — Populate:
    • Comparison Tile — Your engagement vs. competitor engagement (week-over-week)
    • Event Feed Tile — Chronological competitor activity log
    • Bar Tile — Competitor post volume by content type
    • Table Tile — Top 10 competitor posts by engagement

Key Nodes: Schedule Trigger, Get Posts, Get Tweets, Get Insights, Union, AI Enrichment, Filter, AI Summary, Multi-Conditional, Send Email, Send Message, Dashboard Output

Detect Brand Crises and Respond in Minutes

Detect sudden spikes in negative sentiment and trigger immediate alerts.

Scenario: A PR team needs to know within minutes when a brand crisis is emerging on social media — not hours later when it's already trending.

Workflow Steps:

1. Schedule Trigger — Run every 10 minutes
2. Get Posts (Instagram) — Brand mentions
3. Get Tweets (X) — Brand mentions and hashtags
4. Get Subreddit Posts (Reddit) — Brand-relevant subreddits
5. Union — Merge into single stream
6. AI Enrichment — Sentiment analysis + crisis indicator classification:
   • Crisis categories: Product Defect, Data Breach, Employee Conduct, PR Controversy, Service Outage
   • Severity: CRITICAL, HIGH, MODERATE, LOW
7. Aggregation — Count negative posts per 10-minute window
8. Logical Trigger — Fire when negative mention count exceeds 3x the rolling 24-hour average
9. Multi-Conditional — Route by severity:
   • CRITICAL → Send Email to CMO + Send Message (Slack #crisis-war-room) + Dashboard Output (Event Monitor Tile with full post details)
   • HIGH → Send Message (Teams) to PR team + Dashboard Output
   • MODERATE → Dashboard Output to review queue
10. AI Summary — Generate a crisis briefing: root cause hypothesis, affected platforms, estimated reach, recommended response
11. Write PDF — Generate a crisis situation report for executive distribution
12. Dashboard Output — Populate:
    • Event Monitor Tile — Real-time negative mention tracker
    • Line Tile — Mention velocity (posts per minute)
    • Map Tile — Geographic distribution of mentions (via Geocode on user profiles)
    • Stat Tile — Current crisis severity level

Key Nodes: Schedule Trigger, Get Posts, Get Tweets, Get Subreddit Posts, Union, AI Enrichment, Aggregation, Logical Trigger, Multi-Conditional, AI Summary, Write PDF, Geocode, Send Email, Send Message, Dashboard Output

Measure Influencer and Content Performance at Scale

Analyze which content types, posting times, and influencer partnerships drive the most engagement.

Scenario: A social media manager wants data-driven recommendations on what to post, when, and who to partner with.

Workflow Steps:

1. Schedule Trigger — Run daily at midnight
2. Get Posts (Instagram) — Fetch all brand posts from the last 30 days
3. Get Media (Instagram) — Retrieve media type (image, video, carousel, reel) and dimensions
4. Get Insights (Instagram) — Pull reach, impressions, saves, shares per post
5. Join — Merge post data with media metadata and insights
6. Computed Column — Calculate engagement rate: (likes + comments + shares + saves) / reach * 100
7. Aggregation — Average engagement rate by:
   • Content type (image, video, carousel, reel)
   • Day of week
   • Hour of day
   • Caption length bucket (short/medium/long)
8. AI Enrichment — Classify visual content themes (product shot, lifestyle, UGC, behind-the-scenes, educational)
9. Sort — Top-performing posts by engagement rate
10. AI Summary — Generate a content strategy brief: "Reels posted on Wednesday evenings drive 2.4x higher engagement. Behind-the-scenes content outperforms product shots by 38%. User-generated content from accounts with 10K–50K followers shows the highest save rate."
11. Dashboard Output — Populate:
    • Scatter Tile — Engagement rate vs. reach (bubble size = share count)
    • Histogram Tile — Engagement distribution across all posts
    • Bar Tile — Average engagement by content type
    • Forecast Tile — Projected engagement based on posting cadence
    • Table Tile — Top 20 posts with thumbnails and metrics

Key Nodes: Schedule Trigger, Get Posts, Get Media, Get Insights, Join, Computed Column, Aggregation, AI Enrichment, Sort, AI Summary, Dashboard Output

Example Dashboard: Social Command Center

Build this dashboard to monitor your brand's social presence across all platforms from a single screen.

Row 1 — Pulse Metrics

Row 2 — Sentiment & Platform Breakdown

Row 3 — Live Feed & Competitor Intel

Row 4 — Content & Topics

Row 5 — Alerts & Reporting

Getting Started

To build your social monitoring dashboard:

1. Connect your social accounts — Go to Integrations and authenticate Instagram, Meta, X, Reddit, or Threads
2. Create a workflow — Start with a Schedule Trigger (every hour is a good starting cadence)
3. Pull data — Add Get Posts, Get Tweets, or Get Subreddit Posts nodes for each platform
4. Enrich with AI — Add an AI Enrichment node to classify sentiment and topics
5. Build your dashboard — Use Dashboard Output to push data to Event Trends, Pie, and Activity Timeline tiles
6. Set up alerts — Add Multi-Conditional nodes to send Slack or email alerts on high-urgency items