Nancy Drew®: Midnight in Salem

HeR Interactive, Inc. · 2019 · $21.99 · Adventure · deal grade B

Measured on 2026-10-05 08:42 UTC. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

• Estimated net residual revenue: $308 to $462 per month
• Opportunity: $500 per month at x1.30 dormancy
• Estimated lifetime owners: 42.6k
• 54% positive across 1143 reviews · 3.3 reviews/month

Why it's flagged

• Developer active, last post 9 months ago
• Store page localized in only 1 language(s)
• Last discounted 0 months ago, 6 sales in the last 12 months
• Proven demand elasticity: x1.5 review velocity during past deep sales

Analyst notes (AI-assisted)

Note written 2026-09-14; the live figures above take precedence over any numbers in it.

Nancy Drew: Midnight in Salem is a 2019 point-and-click adventure game from HeR Interactive based on the classic detective franchise.

This title sits in an interesting but precarious position: it carries the weight of a beloved 30-year-old franchise with a devoted fanbase, yet the 2019 reboot alienated core players with a redesigned control scheme and puzzle structure. The game generates modest but stable residuals ($385/mo mid-estimate) and maintains a mid-sized owner base, making it viable as a catalog hold or potential revival candidate if design pain points can be addressed. The opportunity is most valuable to a publisher willing to invest in a sequel or spin-off that recaptures franchise loyalty rather than acquire this title in isolation. Most realistic play: revival.

• Risk: Nancy Drew is owned by Simon & Schuster / Nancy Drew Estate; HeR Interactive holds publishing rights but not underlying IP, constraining any major refresh or spin-off without licensor approval.
• Risk: Sentiment has deteriorated significantly (−26 points year-over-year) as franchise veterans found the 2019 redesign broke expected gameplay conventions, and the title has received no promotional push or discount support in the past 12 months.
• Risk: Control and progression systems diverge sharply from the series formula, creating a high barrier to re-engagement even if the underlying narrative and IP remain strong.

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