Steam-tagged titles
The complete tagged set used to define the analysis universe.
Supporting research
Emergence Interactive analyzed public Steam data to establish historical reference points for Open World Survival Craft games. The results provide decision-relevant context for Endonaut’s commercial scenarios; they are not a forecast of Endonaut’s sales.
Purpose and scope
Broad total-addressable-market calculations often begin with industry revenue and then assign a hypothetical market share to a future product. For an early-stage game, that approach can conceal the assumptions that matter most. Emergence Interactive instead examined the observed historical performance of Steam titles carrying the Open World Survival Craft tag.
The analysis asks where selected unit-sales scenarios would fall within the analyzed dataset and how unevenly performance is distributed. It helps evaluate the scale of different commercial outcomes and provides context for planning. It does not establish demand for Endonaut or the probability that Endonaut will reach any threshold.
Dataset and inclusion
The collection process identified 968 unique Steam titles associated with the Open World Survival Craft tag. Of these, 606 had sufficient public information to produce usable cumulative-sales estimates. Those 606 titles form the evidence-qualified sample used for the primary percentile calculations.
The remaining 362 records lacked usable cumulative-sales estimates. They may include unreleased titles, titles with insufficient review activity, or records with incomplete public data. They are addressed separately in the sensitivity analysis rather than silently treated as equivalent to the evidence-qualified titles.
Steam tags overlap, are applied broadly, and can change. The dataset therefore includes some genre-adjacent games and should not be interpreted as a definitive census of all Open World Survival Craft products.
The complete tagged set used to define the analysis universe.
The primary evidence-qualified sample used for observed percentiles.
Retained in a separate conservative test of exclusion effects.
Sales-estimation methodology
The analysis used public Steam metadata and review timestamps. Because most publishers do not report title-level unit sales, a configurable review-to-sales model based on the Boxleiter approach was used to estimate daily and cumulative sales.
The model begins with a base review-to-sales multiplier, then supports adjustments for genre, current USD price, and time since release. In this run, the Open World Survival Craft label did not match a configured genre override and therefore used the neutral genre factor of 1.0. Confidence-band multipliers produce low, midpoint, and high modeled estimates. The percentile results below use the final cumulative midpoint estimate for each title.
Identify tagged games, retrieve public Steam metadata, and organize review timestamps by date.
Convert review activity into sales estimates using the configured base, genre, price, and release-age factors.
Calculate low, midpoint, and high daily estimates, then accumulate them across the observed history of each title.
Configuration used
For each day of observed reviews, the midpoint review-to-sales multiplier was calculated as 40 × genre factor × price factor × release-age factor. Daily modeled sales were then accumulated for each title. These values are analytical assumptions, not empirically verified conversion rates for the individual games.
The exact machine-readable configuration is available as assumptions.json.
Base multiplier: 40 estimated sales per review.
Genre factor for this run: 1.0 (neutral). The configuration contains overrides for several other genre labels, but none matched Open World Survival Craft.
Free: 0.4
$0.01–$9.99: 0.7
$10.00–$19.99: 1.0
$20.00–$39.99: 1.2
$40.00 and above: 1.4
The script uses the current USD price retrieved from Steam, not a title’s historical price on each review date.
Days 0–30: 0.6
Days 31–180: 0.8
Days 181–730: 1.0
After day 730: 1.2
The factor is evaluated for each review date based on the number of days since release.
Low: 0.75 × midpoint
Midpoint: 1.0 × midpoint
High: 1.3 × midpoint
Thresholds and percentiles on this page use the cumulative midpoint estimate.
Observed thresholds
A percentile describes placement within this evidence-qualified sample: approximately 68.8% of the analyzed titles with usable estimates were at or below 22,900 estimated units, for example. It does not describe Endonaut’s likelihood of reaching that outcome.
The seed-recovery reference used in the business plan.
Approximately $1 million in gross base-game revenue at an assumed $19.99 full price.
A higher commercial-performance reference point.
A strong outcome within the evidence-qualified sample.
Approximately 6.1% reached the threshold using modeled midpoint estimates.
Sensitivity analysis
Excluding 362 titles without usable estimates can affect percentile placement. To test that effect, the analysis assigned each excluded title a nominal value of one unit—below the lowest observed sales range—and recalculated the percentiles across all 968 titles.
This deliberately conservative assumption places every unestimated title below each evaluated threshold. The number of titles at or below a threshold therefore increases, moving the same unit-sales outcome to a higher percentile. The two views answer different questions, so both are reported.
Evidence-qualified sample: approximately 68.8th percentile.
968-title sensitivity case: 80.48th percentile, or approximately 80.5th.
Evidence-qualified sample: approximately 82.3rd percentile.
968-title sensitivity case: approximately 88.9th percentile.
Evidence-qualified sample: approximately 87.0th percentile.
968-title sensitivity case: approximately 91.8th percentile.
Million-unit threshold
The following are the titles in the analyzed dataset that reached the million-unit threshold using the model’s cumulative midpoint estimate. The list follows the output order, from the highest modeled midpoint estimate downward.
It is not a definitive ranking of all Open World Survival Craft games. Steam-tag overlap places recognizable core examples such as Rust, ARK: Survival Evolved, Valheim, Subnautica, Satisfactory, and The Forest beside broader or genre-adjacent titles.
Interpretation and limitations
This analysis is useful because it makes the comparison set and assumptions inspectable. Its limitations are part of the result—not qualifications to be hidden after the conclusion.
Comparable-title results show what occurred in the analyzed dataset. They do not establish the probability of any outcome for Endonaut.
Review-derived unit sales are modeled estimates, not publisher reports, platform statements, or audited revenue records.
Steam tags overlap and can include products that are only partly comparable to Endonaut or to one another.
Titles differ in release history, review activity, pricing, promotions, platform exposure, and completeness of public data.
The observed distribution is highly uneven. A small number of exceptional outcomes coexist with many titles that achieved far smaller estimated sales.
The analysis provides observed reference points for evaluating commercial scenarios while preserving the distinction between a benchmark and a forecast.
Reproducibility and version information
The values on this page describe a specific analysis run. Steam tags, review activity, public metadata, and model settings can change; later runs may therefore produce different counts, estimates, and percentile placements.
The model configuration used for this run can be downloaded as JSON. The underlying analysis output and code are not currently available through a public repository. If they are published later, this section is the intended location for the permanent link and any accompanying methodological notes.
The date this analytical snapshot was run.
Script identifier used for validation, thresholds, percentiles, and sensitivity calculations.
Script identifier used for Steam collection and review-derived sales estimates.