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Monster Prom

Beautiful Glitch · 2018 · $11.99 · Indie · deal grade B

Measured on 2026-09-23 10:53 UTC, 12 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

  • Estimated net residual revenue: $1.4k to $2.0k per month
  • Opportunity: $2.3k per month at x1.35 dormancy
  • Estimated lifetime owners: 612.0k
  • 93% positive across 14340 reviews · 26.5 reviews/month

Why it's flagged

  • Developer silent for 15 months
  • Studio active elsewhere (4 titles tracked), so this one may welcome a partner
  • Store page localized in only 3 language(s)

Analyst notes (AI-assisted)

Note written 2026-08-25; the live figures above take precedence over any numbers in it.

A co-op visual novel dating sim with procedural party scenarios and irreverent high-school-monster humor, designed for group play and voiceover shenanigans.

Monster Prom occupies a rare niche: a social party game that monetizes consistently despite dormant marketing and zero developer posts in over a year. The title has shipped over half a million units lifetime and maintains solid four-figure monthly residuals with minimal ongoing effort, suggesting strong word-of-mouth and seasonal replay cycles. Its core appeal, collaborative comedy with friends, remains evergreen and underexploited in the Steam catalog. The risk is modest: it's a six-year-old indie title with a vocal but niche community; acquisition makes sense only for a publisher seeking catalog depth, a revival with new content, or a licensing partner interested in multiplayer-comedy IP for streaming or console ports. Most realistic play: publishing.

  • Risk: Gameplay loop relies on player repetition and social context; single-player engagement trails group replay, limiting addressable market.
  • Risk: No mid-game save feature is a documented friction point; porting or remastering would require UX investment to unlock potential.
  • Risk: Developer communication lapsed 13+ months ago; studio status is operating but output appears minimal, creating uncertainty around bug fixes or platform drift.

This case as Markdown · Estimates carry ±30-50% error per title.