---
id: 868
title: "How CrowdMatch Strengthens Crowd Engagement and Improves Researcher Rewards"
source_domain: bugcrowd.com
source_url: "https://www.bugcrowd.com/blog/how-crowdmatch-strengthens-crowd-engagement-and-improves-researcher-rewards/"
published_at: "2022-07-07 16:21"
tags: ["bug-bounty", "bugcrowd", "crowdsourced-security", "machine-learning", "platform-features", "crowdmatch", "researcher-engagement"]
phying_url: "https://phying.com/item/868"
lang: en
---

# How CrowdMatch Strengthens Crowd Engagement and Improves Researcher Rewards

## Summary

Bugcrowd's CrowdMatch ML engine pairs researchers with fitting programs using a decade of Security Knowledge Graph data, lifting valid submissions 70%, payouts over 80%, and doubling P1-P3 findings.

## Intelligence Metadata

- **Sources:** bugcrowd.com
- **Published:** 2022-07-07 16:21
- **Original:** https://www.bugcrowd.com/blog/how-crowdmatch-strengthens-crowd-engagement-and-improves-researcher-rewards/
- **Phying News:** https://phying.com/item/868