Algorithm Recovery After Performance Drop

U

@

·

Strategic framework for diagnosing and recovering from sudden algorithm-driven performance drops

42 copies0 forks
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.

Details

Category

Analysis

Use Cases

algorithm recovery strategyperformance drop diagnosiscontent pivot planning

Works Best With

gpt-4claude-3-opus
Created Shared

Create your own prompt vault and start sharing

Algorithm Recovery After Performance Drop | Promptsy