Track post-level metrics across platforms

Pull and aggregate post-level metrics across social platforms

Social media teams who need weekly measurement before generating performance reports or adjusting content strategy.

• · Platform analytics access (native or third-party)
• · List of posts for tracking period
• · Historical baselines (for anomaly detection)

• · Running database: post ID, platform, date, format, pillar, hook type, metrics
• · Derived metrics: ER%, follower growth rate, CTR
• · Weekly Snapshot table (Platform, Avg Impressions, Avg ER%, Best/Worst Post, Follower Change)
• · Anomaly Flags (overperformers, underperformers with hypothesis)
• · Running Benchmarks (30-day Avg ER%, Best Format, Best Day/Time)

• · Platform analytics APIs (X, LinkedIn, Instagram, TikTok native or third-party connector)

• · Analytics access granted for all platforms
• · Posts have 6+ hours of visibility before metrics are pulled
• · Historical baseline exists (trailing 30 days minimum)

• · Pulls metrics too early (post < 6 hours old unreliable)
• · Tracks only impressions without engagement (vanity metric trap)
• · Compares ER across platforms directly (X ER ≠ LinkedIn ER ≠ Instagram ER)
• · Ignores saves/bookmarks (strongest signal of value density)
• · Ignores video retention (key video quality metric)
• · Anomaly detection threshold (2x above baseline) may miss subtle shifts

• · Metric selection justified (why each metric matters for understanding funnel)
• · Explicit anomaly detection thresholds (2x above baseline, 50% below baseline)
• · Distinguishes signal types (impressions = reach, ER = quality, CTR = action)
• · Verification checklist: 'Can you answer what was our best post and why?' and 'Are we growing faster or slower than last month?'