Viscera Cleanup Detail

RuneStorm · 2015 · $12.99 · Indie · deal grade A

Estimated net residual revenue: $4.7k to $7.0k per month
Opportunity: $8.8k per month at x1.50 dormancy
Estimated lifetime owners: 1.2M
92%% positive across 23710 reviews · 83.7 reviews/month

Why it's flagged

Developer active, last post 8 months ago
Studio active elsewhere (2 titles tracked), so this one may welcome a partner
Last build shipped 5.6 years ago
Store page localized in only 1 language(s)
Last discounted 1 months ago, 5 sales in the last 12 months
Proven demand elasticity: x1.2 review velocity during past deep sales

Analyst notes (AI-assisted)

A darkly comic crime-scene cleanup simulator where players methodically scrub blood, organs, and debris from industrial accident sites across sci-fi horror environments.

Viscera Cleanup Detail has quietly generated $3.3M lifetime revenue on just 1.17M units, maintaining a 92% positive rating and $5.8k/mo residual income eight years post-launch with minimal marketing lift. The game's niche appeal, co-op mechanics, and cult following suggest stable long-tail demand, but physics bugs and multiplayer connectivity issues are suppressing player retention and word-of-mouth. A revival focused on technical polish and co-op stability could unlock meaningful upside in the relaxation-gaming and asymmetric-gameplay verticals; acquisition is most interesting for studios seeking proven indie IP with loyal communities and low ongoing cost. Most realistic play: acquisition.

Risk: Physics engine instability (bucket spillage, collision glitches, asset phase-through) is a recurring frustration in negative reviews and likely suppresses session length and viral recommendations.
Risk: Multiplayer connectivity is broken or unreliable per player reports; fixing will require backend modernization and may carry platform fragmentation costs.
Risk: Niche appeal (92% positive but only 83 reviews/mo suggests narrow audience awareness); scaling requires new content, not just bug fixes.

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