What problem does it solve? Web novel authors on the Fanqie (番茄小说) platform often fail to grow because they do not understand the platform's tiered recommendation pool system, key performance metrics, or optimal publishing rhythms, leading to stalled traffic and reader churn. ## Core Features & Use Cases - Recommendation Pool Playbook: Explains the four-stage traffic amplification model (new book entry, small validation, mid amplification, mass exposure) with entry thresholds, upgrade/downgrade triggers, and target metric benchmarks. - Metrics Dashboard & Diagnosis: Defines five core indicators (completion rate, same-day follow rate, continuous reading rate, first-chapter conversion, 300-character bounce rate) plus a symptom-to-fix diagnostic table. - Update & Buffer Strategy: Prescribes daily update timing (10:00-12:00 and 20:00-22:00), 2500-character chapter standards, stage-based update frequency, and a 5/10/20-chapter buffer alert system. - Reader Engagement & Ad-Break Hooks: Provides three author-note templates (comment, vote, follow-up) and ad-insertion-point cliffhanger templates (information cutoff, perspective switch, countdown) to retain readers across ad breaks. - Use Case: A new author launching a book uses the 30-day plan to schedule updates, monitor daily follow rates, maintain a 10-chapter buffer, and place strong hooks at every third chapter ending to survive ad interruptions. ## Quick Start Ask the AI to build a 30-day launch and daily operations plan for your Fanqie novel based on the recommendation pool stages and metric targets.
