9-nine-:Episode 3
PALETTE · 2020 · $19.99 · Action · deal grade B
Measured on 2026-10-02 16:15 UTC, 3 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.
- Estimated net residual revenue: $840 to $1.3k per month
- Opportunity: $1.7k per month at x1.60 dormancy
- Estimated lifetime owners: 41.5k
- 92% positive across 1061 reviews · 9.8 reviews/month
Why it's flagged
- Developer silent for 5.6 years
- Studio quiet across its whole catalog
- Store page localized in only 3 language(s)
- Last discounted 0 months ago, 8 sales in the last 12 months
- Proven demand elasticity: x1.4 review velocity during past deep sales
Analyst notes (AI-assisted)
Note written 2026-08-25; the live figures above take precedence over any numbers in it.
A 2020 visual novel from Sekai Project following Episode 3 of the 9-nine- franchise, centered on character-driven romance and slice-of-life storytelling.
9-nine-: Episode 3 maintains solid residual revenue at roughly $1,050/mo despite dormant developer activity and a mid-sized player base, suggesting the visual novel has carved out a loyal niche audience. The 92% positive rating and episodic structure indicate strong IP potential for a publisher willing to complete or expand the series; however, Sekai Project's fading studio status and licensing complexity make acquisition of the game itself unlikely without broader franchise rights negotiation. This is a watch-and-partner opportunity rather than a direct buy. Most realistic play: publishing.
- Risk: The 9-nine- franchise and characters are held by the original Japanese developer/publisher; Sekai Project holds Western publishing rights only, limiting any buyer's ability to extend or modify the series without upstream approval.
- Risk: Zero concurrent players (12 active) and no mechanics for engagement loops mean future growth depends entirely on new episode releases or expanded story content, which requires IP-holder cooperation.
- Risk: No achievements, trading cards or workshop support limits discoverability and social replay incentives; porting or re-release would require development investment to modernize engagement features.
This case as Markdown · Estimates carry ±30-50% error per title.