As a Content Strategist, analyze and recover from algorithm changes: **Performance metrics before drop:** {{previous_metrics}} **Current performance:** {{current_metrics}} **Content that stopped working:** {{affected_content}} **Timeline of decline:** {{decline_timeline}} Provide a structured recovery analysis: 1. DIAGNOSTIC PHASE - Identify specific algorithm changes - Compare with industry-wide patterns - Isolate content vs. algorithm issues 2. CONTENT AUDIT - Which formats are now underperforming? - What new formats are being boosted? - Competitor content thriving analysis 3. IMMEDIATE ADAPTATIONS - Quick wins to implement today - Format pivots to test - Posting schedule adjustments 4. EXPERIMENTAL ROADMAP - A/B tests to run over 30 days - New content types to pilot - Collaboration opportunities 5. LONG-TERM RESILIENCE - Platform diversification strategy - Owned audience building - Algorithm-proof content pillars Focus on data-driven recovery strategies.
Algorithm Recovery After Performance Drop
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Strategic framework for diagnosing and recovering from sudden algorithm-driven performance drops
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AnalysisUse Cases
algorithm recovery strategyperformance drop diagnosiscontent pivot planning
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gpt-4claude-3-opus
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