Venture studio metrics, defined: survival rate, exit ratio, time to Series A, studio multiple and the numbers that get confused

Every venture studio publishes a success rate. Almost none publishes the definition. A studio that says 91% of its ventures have survived, another that says 84% of its companies raised a seed round, and a third that says 72% reached Series A are describing three different things over three different periods against three different denominators, and a reader who compares the numbers is comparing nothing. The problem is not dishonesty. The studio industry has grown faster than its vocabulary, and the vocabulary it borrowed from venture capital and accelerators does not fit an institution that founds companies rather than selecting them.

This article is a reference. It defines the metrics studios use and the ones they should, specifies for each what is counted, over what period and against which denominator, shows how the most repeated industry figures slip between definitions, and proposes a minimum reporting set. It is written to be cited, so each definition is stated once.

The figures everyone repeats, and what they actually measure

The industry's reference numbers come from the Global Startup Studio Network, a trade body. Its 2020 white paper, Disrupting the Venture Landscape, surveyed 23 studios that had created 415 companies, of which 9% had failed. Its director wrote in February 2021 that 84% of startups from studios go on to raise a seed round and that 72% of those that reach seed advance to Series A, against 42% for traditional startups; the post offers no definition of success beyond that progression (Angel Capital Association blog, 19 February 2021). A set of 2022 figures attributed to GSSN gives studio startups a 30% higher success rate, 25.2 months to Series A against 56, and a 53% internal rate of return against 21.3%. Equity stakes were reported at 15% to 100% with an average around 40% in one account and 34% with a range of 15% to 80% in another.

These numbers mix at least four metrics. "9% failed" is a survival snapshot with no stated age distribution, so a studio whose companies were all under two years old would score well regardless of quality. "84% raise seed" is a funding measure with the studio's own companies as denominator but no time window. "72% reach Series A" has a different denominator, companies that already raised seed, so it cannot be combined with the first figure. "30% higher success" has no stated definition. And every figure is self-reported by studios to their own trade body. None of this makes the figures useless. It makes them directional, and it makes the case for definitions.

Why the denominator is the whole argument

Studio metrics are harder than fund metrics because a studio controls its own denominator. A fund's denominator is the companies it invested in, fixed by the act of writing a cheque. A studio's denominator is the companies it founded, and the studio decides when an idea becomes a company. A studio that incorporates late, after validation and team assembly, will have a smaller denominator and a higher survival rate than one that incorporates at the first whiteboard, without any difference in the quality of what reaches the market. The first requirement of any studio metric is therefore a stated rule for what enters the denominator and when. The rule proposed here is incorporation plus first capital: a venture is counted from the date the studio puts money into a legal entity it has created. Ideas validated and abandoned before that point belong in an origination funnel metric, not in the survival rate.

The second requirement is a stated age. US Bureau of Labor Statistics data on all private-sector establishments born in March 2013 shows survival of 79.6% at one year, 50.6% at five years and 34.7% at ten years (BLS, 2024). A studio reporting 91% survival over a portfolio of mixed age is reporting a number a reader cannot place without knowing that age. The BLS comparison is imperfect, since it covers establishments of every kind and defines survival as still operating rather than still independent; it is used here only to show that undated survival figures are uninterpretable.

The glossary of venture studio metrics

Each entry gives the metric, what is counted, the denominator, the period, and the common confusion.

Survival rate. The share of ventures incorporated and funded by the studio that are still operating as independent companies, or have been acquired, at a stated age. Counted: ventures not dissolved, not dormant, not absorbed back into the studio. Denominator: all ventures that received first capital at least that many months before the measurement date. Period: months since incorporation, reported at fixed ages such as 24, 36 and 60 months. Confusion: reported for portfolios of mixed age; ventures folded back into the studio counted as alive; acquisitions counted as survival without saying so.

Failure rate. The complement of survival rate at the same age and denominator. A venture acquired at or above invested capital is not a failure; one acquired for less is, unless the studio states otherwise. Confusion: the GSSN "9% failed" figure has no age, which makes it a snapshot rather than a rate.

Seed-funded rate. The share of ventures that raised a priced round with an external lead or external majority within a stated window; a round the studio leads alone does not count. Denominator: ventures that received first capital at least that many months before measurement. Period: typically 24 or 36 months from incorporation. Confusion: counting studio-only rounds or notes from the studio's own network; no window, so that a venture that raised in year six counts the same as one that raised in year one.

Series A graduation rate. The share of ventures that raised a round labelled Series A, or a priced round of a stated minimum size, within a stated window after their seed round. This is where the denominator shifts most often. Carta defines it as companies that raised a priced seed in a cohort year and then a Series A within two years, excluding seed-on-SAFE rounds; by that definition the 2019 cohort graduated at 27.5% and the 2021 cohort at 17.6%, with large sector variation (Carta). A later Carta note, without a fixed window, found 51% of the 2020 US seed cohort and 24% of the 2022 cohort had reached Series A by November 2025, noting that historically about half of seed- funded companies raise a Series A (Carta, 5 November 2025). The GSSN "72% versus 42%" claim gives no window and no cohort, and because its denominator is companies that already reached seed it is a conditional rate that should not be compared with the unconditional seed-funded rate. Confusion: mixing conditional and unconditional denominators; omitting the window; counting any follow-on as Series A.

Time to Series A. The median months from incorporation to the close of the Series A round, for ventures that reached it. Denominator: only ventures that reached Series A, which is why this metric must always be paired with the graduation rate, since a studio with one fast Series A and nine failures has a short time and a bad outcome. Confusion: measuring from an origination date that precedes incorporation, which shortens the apparent time; reporting a mean rather than a median; quoting the GSSN 25.2 months against 56 without noting that the populations have different start points and the studio figure is conditional on success.

Exit ratio. Successful exits divided by a stated base. The Politecnico di Milano study of 25 European studios founded between 2009 and 2014 uses successful exits achieved by a studio's startups divided by the studio's lifetime, an exits-per-year measure that controls for how long the studio has existed (Del Prete, Franchi, Moiana, Ghezzi and Rangone, ECIE 2024, published September 2025). An alternative base is ventures founded, which gives exits per venture. Both are legitimate: exits per year measures productivity, exits per venture measures hit rate. The Polimi paper does not specify a price threshold; this glossary proposes that an exit counts only if it returned at least the capital invested by all shareholders, with lower-priced acquisitions reported separately. Confusion: counting acqui-hires at a loss as exits; not stating whether the base is years or ventures; the GSSN 2020 figures contain no exit measure at all.

Studio multiple. The value of the studio's holdings plus distributions received, divided by the capital the studio has deployed into ventures, the analogue of a fund's total value to paid-in capital. Deployed capital includes direct investment and, ideally, the cost of shared services attributed to each venture. Confusion: quoting a portfolio valuation (the sum of every venture's latest post- money) as if it were studio value, when the studio owns a fraction of each; omitting the cost of the shared team, which overstates the multiple for studios with large operating budgets. A studio that reports a combined portfolio valuation without its ownership and deployed capital has reported a number that cannot be turned into a return.

Studio internal rate of return. The annualised return on deployed capital computed on dated cash flows, sensitive to unrealised marks. The GSSN "53% versus 21.3%" figure has no stated vintage, realisation share or valuation basis, so it cannot be checked. Confusion: reporting IRR dominated by unrealised marks without saying so; comparing a studio IRR computed from incorporation dates with a fund IRR computed from first close.

Equity at inception and equity at Series A. The studio's fully diluted stake at incorporation and at the close of the first external priced round. Both should be reported: the second determines the studio multiple, the first is what founders care about. The GSSN-attributed ranges, 15% to 100% or 15% to 80%, with averages around 34% to 40%, are consistent only if measured at different points, which is why the point of measurement must be stated. Confusion: quoting inception stake as post- seed stake; omitting option pools.

Origination yield. The share of validated ideas that become incorporated and funded ventures, over a stated period. It sits upstream of the survival rate and corrects for the denominator problem above. A studio that reports both has shown its whole funnel; one that reports only survival has shown the part it controls.

Ventures per senior operator. Active ventures that have not yet raised an external priced round, divided by studio partners or operators with venture-level accountability. An operating metric rather than an outcome metric, and the earliest indicator of portfolio sprawl. It has no industry reference figure; this glossary proposes it because it is cheap to compute and hard to game.

Survivorship bias in studio reporting

The industry figures share a structural bias that has nothing to do with any studio's honesty. Studios that respond to trade body surveys are studios that still exist; those that have wound down, pivoted into consulting or quietly stopped launching are not in the sample. The 2020 GSSN paper's 23 studios were, by construction, 23 surviving studios, so any failure rate computed across their portfolios understates the rate across all studios that ever existed.

A second layer operates inside each studio. The ventures a studio names on its website are the ones it is proud of; ventures incorporated, funded and dissolved within eighteen months rarely appear, and whether they appear in the denominator of the published survival rate depends on a definition the studio has usually not stated. The Polimi measure, exits divided by studio lifetime, is robust to this: a studio cannot improve its exits-per-year figure by removing failures from its website.

A third layer is the comparison population. The "versus 42%" and "versus 56 months" figures describe traditional startups, but the startups that appear in funding databases are themselves survivors of an earlier filter, since a company that never raised is often not in the database at all.

Comparing studio ventures, all in the studio's records from day one, with database startups, which enter the record only when they raise, compares a complete population with a pre-filtered one. The honest reading of the current evidence is that studio ventures may well raise follow-on capital at higher rates than comparable non-studio ventures, that the magnitude is unknown because the published comparisons do not control for these biases, and that no published figure measures studio-level returns in a way that can be audited.

The minimum reporting set

The glossary suggests a reporting set that any studio could produce from its own records and that would let a reader compare studios. It is deliberately short.

Two things are deliberately absent. Combined portfolio valuation is not in the set, because without ownership and deployed capital it is not a return measure; a studio that wants to publish it should publish the studio multiple alongside. Comparative claims against traditional startups are not in the set, because the comparison populations are not matched and the studio cannot fix that on its own.

A worked illustration of the confusion

Consider a studio that publishes a 91% survival rate, a combined portfolio valuation of several hundred million dollars, and a count of two dozen ventures founded since 2021. PanScience Innovations, a New Delhi studio, reports exactly this shape: 24 or more co-founded ventures since 2021, a 91% venture survival rate, a combined portfolio valuation above $500 million and more than $50 million raised by the portfolio by 2024, with one venture, Accern, described as acquired in 2024 and as the first exit. All of these are company-reported figures from its website, and the point of the illustration is not to question them but to show what the glossary would add.

Under the minimum reporting set, the survival rate would be stated at fixed ages rather than as one figure across ventures founded between 2021 and 2026, so that a reader could see whether the 91% describes mostly two-year-old or mostly four-year-old companies. The portfolio valuation would be accompanied by the studio's stake and deployed capital, so that it could be read as a multiple. The single exit would be expressed on both bases, which for a five-year-old studio with 24 ventures is 0.2 exits per studio year and about 4% per venture, entirely normal for a studio of that age and more informative than either the valuation or the survival rate alone. The $50 million raised would be split between external and studio capital. None of this requires information the studio does not have. The same exercise applied to the GSSN figures would turn "9% failed" into a failure rate at a stated age, "72% reach Series A" into a graduation rate with a window and a cohort, and "25.2 months" into a median paired with the share that reached the milestone. The numbers might not change much. Their meaning would.

Conclusion

Studio metrics are confused because the industry borrowed fund vocabulary for an institution that controls its own denominator. The fix is not new data but stated definitions: what enters the count and when, over what window, against what base. Survival, funding, graduation and exit are four different things measured on four different populations, and the industry's most repeated figures slide between them. The glossary above fixes each one, the minimum reporting set asks for ten numbers any studio already has, and the Polimi exits-per-lifetime measure shows that it is possible to define a studio metric that cannot be improved by hiding failures. Studios that adopt definitions like these will be comparable with each other, which is the precondition for the model being taken seriously by the investors it is now asking for capital.

Methodology and sources

This article is definitional rather than empirical. The glossary and the minimum reporting set are the author's proposals, informed by how fund metrics are defined and by the specific ways in which published studio figures are ambiguous. The thresholds proposed (for example, counting an exit only at or above invested capital, or measuring survival at 24, 36 and 60 months) are choices, and a studio adopting the set may reasonably choose others, provided it states them. The GSSN figures are reproduced as published and as summarised in the editor's verified-figures note; they are industry-produced and self-reported, and the article treats them as directional. The BLS survival series is used to show that undated survival figures cannot be interpreted, not as a benchmark for studio ventures, since it covers all private-sector establishments and defines survival as continued operation. The Carta graduation figures are from Carta's own customer base, which is US-weighted and excludes companies not on its platform; they are cited for their definitions as much as for their values. The worked illustration uses PanScience's company-reported figures and derives two ratios from them arithmetically; it does not assess the figures' accuracy.

Sources opened: Del Prete, Franchi, Moiana, Ghezzi and Rangone, "What Drives Venture Studios Success? Uncovering Successful Configurations in the European Landscape", ECIE 2024, published 19 September 2025 (https://papers.academic- conferences.org/index.php/ecie/article/view/4143); Angel Capital Association blog, Nick Zasowski, "Startup Studios", 19 February 2021 (https://angelcapitalassociation.org/blog/2021/2); US Bureau of Labor Statistics, "34.7 percent of business establishments born in 2013 were still operating in 2023", 2024 (https://www.bls.gov/opub/ted/2024/34-7-percent-of-business-establishments-born-in- 2013-were-still-operating-in-2023.htm); Carta, "What percent of priced seed startups make it to Series A" (https://carta.com/data/linkedin-priced-seed-to-series-a-graduation/); Carta, "Only 24 percent of 2022 seed startups have reached Series A", 5 November 2025 (https://carta.com/data/linkedin-seed-2022-only-24-percent-reach-series-a/); Carta, "Startup shutdowns continued to accelerate in Q1 2024" (https://carta.com/data/startup-shutdowns-q1- 2024/), for its definition of a shutdown as an account closed with the stated reason of going out of business; GSSN 2020 white paper and 2022 figures as summarised in the editor's verified-figures note; PanScience Innovations website, company-reported figures (https://panscience.xyz), read 24 October 2026.