Launch Attribution Analyzer

Free v2.0.0 1 view

Quantify the true ROI of your Product Hunt, Hacker News, and Twitter launches by isolating launch impact from baseline, calculating incremental conversions, and measuring lasting baseline lift.

What You Get

Transform vague post-launch feelings ('I think it went well?') into quantified impact analysis with attribution windows, decay patterns, lasting baseline lift, and ROI projections across multiple time horizons.

The Problem

Indie makers cannot quantify the true conversion impact of their product launches (Product Hunt, HN, Twitter, etc.) because launch traffic looks similar to organic in analytics, making it hard to justify the significant time investment in launches and optimize future launch strategies.

The Solution

Apply systematic attribution frameworks to isolate launch impact from baseline, calculate incremental conversions above organic growth, analyze decay patterns, measure lasting baseline lift, and compute comprehensive ROI including time investment and revenue projections at 1-month, 6-month, and annual horizons.

How It Works

  1. 1 Collect and validate pre-launch baseline metrics
  2. 2 Gather launch period data with day-by-day granularity
  3. 3 Define attribution windows (day 0, days 1-3, days 4-7, days 8+)
  4. 4 Calculate incremental impact vs baseline projection
  5. 5 Perform multi-channel attribution if applicable
  6. 6 Analyze decay patterns and compare to benchmarks
  7. 7 Calculate lasting baseline lift and annualized value
  8. 8 Compute ROI at multiple time horizons (1-mo, 6-mo, annual)
  9. 9 Generate comprehensive report with optimization recommendations

What You'll Need

  • Pre-launch baseline metrics (daily visitors and signups)
  • Post-launch metrics by day (at least 7 days)
  • Launch channels used (PH, HN, Twitter, etc.)
  • Time invested in launch prep and execution
  • Product pricing and conversion rate information