Ghost Viewer Analytics for Instagram Stories

This tool estimates anonymous viewer metrics for Instagram Stories by combining publicly visible metrics with anonymized benchmarks. It is designed for creators, social teams, and marketing analysts who need to understand potential reach without accessing private data. The focus is on 'ghost viewer' visibility—a proxy for viewers whose identities cannot be disclosed—and on providing privacy-safe insights suitable for performance reporting and planning.
Conceptually, you provide a story_id, a time window, and optional region to contextualize the data. The system fetches publicly exposed signals (views, impressions, completion rates) and applies a benchmark-adjusted model to infer the share of anonymous views. It then computes outputs such as estimated_anonymous_views, estimated_unique_anonymous_viewers, average_watch_time_seconds, and anonymous_engagement_rate, along with a confidence_score to reflect data coverage and regional reliability.
Key differentiators include region-aware normalization, a transparent calculation approach, and explicit caveats about data quality. Use cases span content planning, post-publish analysis, cross-account benchmarking, and strategic decision-making for ad and organic campaigns. Outputs are designed to be exportable in JSON or CSV, enabling integration with dashboards and reporting workflows.