DocBeacon
MethodologyUpdated: February 10, 2026

Pitch Deck Benchmark Methodology v1.2

This page defines how benchmark metrics are calculated for Pitch Deck Analytics Benchmark Report, so readers can evaluate scope and reliability without exposing customer-level data.

1. Data Source and Coverage

  • Source: Aggregated event logs from DocBeacon workspaces that use pitch-deck tracking links.
  • Coverage window (v1.2): Q1 2025 to Q4 2025 (rolling 12-month period).
  • Privacy posture: No customer names, investor identities, deck contents, or row-level logs are published in benchmark pages.

2. Core Metric Definitions

  • Session: A continuous qualified viewing period for one tracked deck link.
  • Open: At least one qualified view event recorded for a shared deck link.
  • Read-through: A qualified session that reaches the final slide or near-complete slide coverage threshold.
  • Time-on-page: Active foreground dwell time on a page while the viewer is engaged.
  • Drop-off page: The furthest page reached in a qualified session before exit.

3. Public Formula Summary

  • Open rate: qualified opened links / qualified sent links.
  • Read-through rate: qualified read-through sessions / qualified opened sessions.
  • Typical reading duration: rounded range from qualified session durations after quality filtering.

4. Dedup and Quality Filters

  • Rapid refresh or duplicate reload events are consolidated to reduce inflation from accidental reopens.
  • Known bot, crawler, and prefetch signatures are excluded.
  • Internal test traffic and invalid ultra-short events are excluded from benchmark aggregates.
  • Cross-device behavior is treated as separate sessions unless identity linkage is explicitly available.

5. Sample Framing

  • Primary use case: early-stage fundraising decks (pre-seed, seed, Series A).
  • Distribution context: cold outbound, warm intro, and post-meeting follow-up sharing flows.
  • Reported numbers are rounded for publication and intended as directional benchmarks.

6. Interpretation Boundaries

  • Benchmark results are observational correlations and do not claim causal impact.
  • Patterns can differ by investor type, region, sector, deck length, and prior relationship context.
  • No single metric should be treated as a standalone funding outcome predictor.

7. Versioning and Review

  • Version: v1.2
  • Updated at: February 10, 2026
  • Review owner: DocBeacon Analytics Methods Team

Related report: Pitch Deck Analytics Benchmark Report.