Crowdfunding is becoming increasingly important for entrepreneurs to raise funds in recent years. Whilst research has shown different influencing factors of crowdfunding performance as signals which can convey information, how signals work together remains underexplored. This study, which is based on a Chinese product crowdfunding platform, uses fsQCA to examine how the signal of project quality (number of likes project received, number of updates, number of description words) and creator’s credibility (number of likes creator received, experience as a backer, experience as a creator) influent crowdfunding performance. We crawled 381 samples from MoDian crowdfunding platform. The results identify five configurations for high financing performance and five configurations for low financing performance. Our findings enrich the literature of crowdfunding performance based on signal theory and make practical contributions to project creators.