> [!meta]- Document Info > **Author**: [[Evan Hughes]] > **Full Title**: Feed Detail Update > **Category**: #articles > > **Summary**: The author analyzed sales pipeline data and found varying win rates across different stages and lead sources. By looking closely at specific stage dates and lead sources, they discovered significant differences in win rates, highlighting the importance of accurate data tracking for performance evaluation. The study emphasizes the need for clear benchmarks and a deeper understanding of funnel dynamics to improve sales and marketing strategies. > > **Source**: [Original URL](https://www.linkedin.com/posts/activity-7199768798411833346-TdCD/?utm_source=share&utm_medium=member_desktop) ## 📄 Full Document → [[Feed Detail Update]] ## 🔦 Highlights & Commentary - Inbound (High Intent): ~11% ([View Highlight](https://read.readwise.io/read/01hynsb8r9cqkvsrf2rfh51ntt)) - Note: Would be good to think through signals here. - We have standardized "HIRO" (High Intent Revenue Opportunity) as a metric for high intent leads or pipeline sources with a consistent win rate of 25% or higher over six months. This quality metric is often missing in many companies. ([View Highlight](https://read.readwise.io/read/01hynw4ggvwc13vbczpy3rb8h0)) - Note: How do I get us here? This is in the challenge of unifying the pipeline architecture and building a measurement system to get the signals.