On Indian matrimonial platforms, women received roughly 40 times as many expressions of interest as men—a staggering imbalance that left them overwhelmed, confused, and often ready to leave. The problem stemmed from a fundamental mismatch in supply and demand: on these platforms popular among people of Indian descent, men outnumbered women dramatically, with ratios ranging from 60:40 to as high as 90:10. Desperate to improve their odds, men sent invitations indiscriminately, flooding women's inboxes within hours of joining and making it nearly impossible for them to navigate the platform's purpose.
This gender asymmetry is a common challenge on matching platforms—from professional networking to ride-sharing—but matrimonial services faced it acutely. The congestion didn't just frustrate women; it harmed the entire ecosystem. Families, who often helped with the sorting burden under prevailing Indian social norms, shared in that frustration. Men, meanwhile, faced steep competition and reduced satisfaction. The platform was failing both sides.
A team of researchers led by Sabari Rajan Karmegam at George Mason University decided to test an intervention called "gender gating," designed to restore balance. The mechanism was elegant: women's profiles would be visible only to men who met culturally acceptable criteria for education, income, and age. A man in his 40s, for example, could not view profiles of women more than 10 years younger or a couple of years older. Women could customize their own preferences and override these defaults, but men could not opt out of the restrictions.
The experiment unfolded across two Indian states with similar socioeconomic profiles but different languages and cultural characteristics—a careful design that isolated the intervention's true effects. The results were striking. Women in the treatment group received 6 percent fewer expressions of interest after the intervention took effect, yet the efficacy of their matches improved by 72 percent. More time spent on genuine prospects meant less time wasted on screening. Women also took the initiative more often, sending 113 percent more expressions of interest themselves. Those outcomes translated into genuine agency.
The gains were particularly pronounced for women older than 25, who fell within the prime marriageable age range that aligned with many men on the platform. This group saw a 103 percent improvement in matching efficacy post-intervention. These weren't vanity metrics; they reflected deeper patterns of compatibility and intention.
Crucially, the intervention improved women's experience without harming men's. That balance made the approach sustainable and the results compelling enough that the platform decided to roll out gender gating across its entire user pool. Other matchmaking services, including JDate and SKY People, had already adopted similar culturally grounded sorting mechanisms. The success also hints at broader applications: Karmegam noted that similar principles could improve matching on professional networks, ride-sharing platforms, or any service pairing people together based on mutual interest.
It's important to note that a match on these platforms is not a marriage but an open line of communication with a serious prospect—the real work happens offline, in conversations and family meetings beyond the platform's reach. Yet by removing the noise and aligning men's searches with culturally appropriate criteria, the platform created space for genuine connection. Sometimes the path to better outcomes isn't about adding more—it's about filtering more thoughtfully.