ResidualPlaybeta

コイカツ! / Koikatsu Party

ILLUSION · 2019 · $59.99 · Simulation · deal grade A

  • Estimated net residual revenue: $3.4k to $5.2k per month
  • Opportunity: $11.2k per month at x2.60 dormancy
  • Estimated lifetime owners: 212.2k
  • 91%% positive across 5732 reviews · 13.3 reviews/month

Why it's flagged

  • Developer silent for 3.1 years
  • Studio inactive: no public activity across 4 tracked titles
  • Last build shipped 5.4 years ago
  • Store page localized in only 3 language(s)
  • No Steam discount in 3.5 years (deepest tracked: -20%)

Analyst notes (AI-assisted)

A 2019 Japanese character-creation and dating-sim from ILLUSION featuring deep 3D customization tools wrapped around minimal visual-novel gameplay.

Koikatsu Party has generated $2.7M lifetime on 212k units despite zero sales velocity in the past 12 months, suggesting a mature niche audience extracting value primarily from the character creator and mod ecosystem rather than first-party content. The $4.3k/mo residual revenue and 91% positive ratio indicate a stable, if quiet, catalog holding. Acquisition makes sense only if a buyer seeks to: (1) monetize the mod ecosystem via a storefront or creator fund, (2) license the engine to other publishers, or (3) launch a premium sequel with live-service cosmetics. Otherwise, watch for a licensing or IP-licensing play by a larger adult-games publisher. Most realistic play: licensing.

  • Risk: The title's appeal is heavily dependent on mod content (uncensoring, POV, cosmetics) that ILLUSION does not officially distribute; any acquisition that disrupts that ecosystem will trigger refunds and loss of tail revenue.
  • Risk: No developer posts in 37 months; codebase stability and compatibility with future OS/driver versions is unknown.
  • Risk: Core gameplay loop is acknowledged even by fans as minimal; the title's value is entirely in character creation and social modding, which has limited crossover appeal and high churn risk if monetization shifts.

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