1.7万款App数据：年付需30天试用，月付峰值14天，AI应用上限16天
What 17,000 Subscription Apps Tell Us About Free Trial Length: Annual Plans Convert 86% Better With 30-Day Trials, Monthly Tops Out at Two Weeks, and AI Apps Hit a Wall at 16 Days
提供了基于1.7万款App的大样本实证数据，直接给出了年付、月付及AI产品的具体试用天数参数与取舍逻辑，创业者可立即对照自身产品模型进行A/B测试或调整定价套餐。
RevenueCat just published one of the richest datasets on free trials out there. They have the data, at least for mobile subscriptions apps, where they power 60%+ of the subscription management.
RevenueCat 刚刚发布了关于免费试用最丰富的数据集之一。他们拥有相关数据，至少在移动订阅应用方面如此，这些应用中有 60% 以上的订阅管理由 RevenueCat 提供支持。
SaaStr Fund made the very first investment in RevenueCat back in 2018, so I’ve watched this dataset grow from a few hundred apps to the default subscription layer for mobile. A big chunk of RevenueCat’s base is B2C: fitness apps, photo editors, streaming, games, language learning. But RevenueCat powers around 60% of all mobile subscription apps, B2C and B2B, including productivity and workflow tools that look a lot like what many of you sell. The study covers 17,000+ mobile apps over a full year (August 2025 through July 2026), which makes it the largest look at trial behavior I know of. The consumer skew matters less than you’d expect, especially on annual plans, where the purchase starts to look a lot like a B2B contract.
SaaStr Fund 早在 2018 年就向 RevenueCat 进行了首次投资，因此我见证了该数据集从几百个应用增长为移动端的默认订阅层。RevenueCat 的基础客户中 B2C 占很大比例：健身应用、照片编辑器、流媒体、游戏、语言学习。但 RevenueCat 支撑着约 60% 的所有移动订阅应用，包括 B2C 和 B2B，其中许多生产力和工作流工具看起来与你们许多人销售的产品非常相似。该研究覆盖了一年（2025 年 8 月至 2026 年 7 月）的 17,000 多个移动应用，这使其成为我所知的关于试用行为规模最大的观察。消费者偏向的影响比你预期的要小，尤其是在年度计划中，购买行为开始看起来更像是一份 B2B 合同。
The full RevenueCat post is here. What follows are the parts that apply to B2B + AI.
完整的 RevenueCat 文章在这里。以下是适用于 B2B + AI 的部分。
On annual plans, 17 to 32 day trials converted 44.6% of users vs. 24% for trials of 4 days or less
在年度计划中，17 至 32 天的试用将 44.6% 的用户转化为付费用户，而 4 天或更短的试用仅为 24%
On Annual plans, the data is clear: go with a 30-day trial, absent evidence otherwise.
在年度计划中，数据很明确：除非有相反的证据，否则请选择 30 天试用。
On annual subscriptions, conversion rose with every step up in trial length: 24% for trials of 4 days or less, 33% at 5 to 9 days, 43% at 10 to 16 days, and 44.6% at 17 to 32 days. First renewal moved even more, from 18.3% to 47.5%.
在年度订阅中，随着试用时长的增加，转化率逐步上升：4 天或更短的试用转化率为 24%，5 至 9 天为 33%，10 至 16 天为 43%，17 至 32 天为 44.6%。首次续订率的提升更为显著，从 18.3% 升至 47.5%。
Combine the two and look at the share of trial users who paid and then renewed a year later. It went from 3.5% on the shortest trials to 18.5% on the longest. Same number of trial starts, more than 5x the retained customers.
结合两者来看，试用用户中付费并在一年后续订的比例。最短试用的这一比例为 3.5%，最长试用则为 18.5%。试用启动次数相同，但保留下来的客户数量超过 5 倍。
RevenueCat’s explanation will make sense to anyone who has sold an annual contract. Paying for a year up front is a bigger commitment and harder to undo, so buyers want more time before they sign. The ones who get that time and still buy tend to stay.
RevenueCat 的解释对于任何出售年度合同的人来说都很容易理解。一次性支付一年的费用是一个更大的承诺，且更难撤销，因此买家希望在签署前有更多时间。那些获得这段时间并最终购买的客户往往倾向于留下来。
In B2B, most of us run 14-day trials because Salesforce and HubSpot did it 15 years ago, and then push the annual plan hard on day 14. If you want a 12-month commitment, this data says to give buyers closer to 30 days to decide.
在 B2B 领域，我们大多数人运行 14 天试用是因为 Salesforce 和 HubSpot 在 15 年前就这么做了，然后在第 14 天大力推动年度计划。如果你希望获得 12 个月的承诺，这些数据表明应该给买家接近 30 天的时间来做出决定。
81 to 100 of the top 100 mobile apps per category run weekly trials of 4 days or less
每个类别的前 100 名移动应用中，有 81 到 100 家运行每周 4 天或更短的试用
RevenueCat looked at the 100 apps with the most trial starts in each category. On weekly plans, between 81 and 100 of them run trials of 4 days or less, depending on category. On monthly and annual plans, most run 9 days or less.
RevenueCat 考察了每个类别中试用启动次数最多的 100 个应用。在每周计划中，根据类别不同，有 81 到 100 个应用运行 4 天或更短的试用。在月度计划和年度计划中，大多数应用运行 9 天或更短的试用。
So the highest-volume apps mostly run short trials, while the performance data often favors longer ones. Short trials do have real benefits: cash arrives sooner, paid campaigns get faster feedback, and free usage costs less. A lot of it is also teams copying the category leader.
因此，高流量应用大多运行短期试用，而性能数据往往更有利于长期试用。短期试用确实有实际好处：现金回笼更快，付费活动获得反馈更迅速，且免费使用的成本更低。其中很多情况也是团队在模仿品类领导者。
B2B does the same thing. We copy the 14-day trial from whoever we benchmark against, or cut it to 7 days because the CFO wants faster payback. In both cases the number came from somewhere other than our own time to value.
B2B 领域也做同样的事情。我们参照对标对象采用 14 天试用，或者因为首席财务官（CFO）希望更快收回成本而将其缩短至 7 天。在这两种情况下，试用时长的设定都来自外部因素，而非基于我们自身的产品价值实现周期。
Monthly conversion peaked at 46.6% on 10 to 16 day trials
月度转化率在 10 至 16 天的试用期内达到峰值 46.6%
Monthly is closer to how most PLG B2B products sell, and the results are more mixed.
月度订阅更接近大多数产品驱动增长（PLG）的 B2B 产品的销售模式，结果也更加参差不齐。
- 4 days or less: 39.6% conversion, 54.2% first renewal
- 5 to 9 days: 45.9% conversion, 62.8% first renewal
- 10 to 16 days: 46.6% conversion, 72.0% first renewal
- 17 to 32 days: 43.7% conversion, 77.5% first renewal
- 4 天或更短：转化率 39.6%，首次续费率 54.2%
- 5 至 9 天：转化率 45.9%，首次续费率 62.8%
- 10 至 16 天：转化率 46.6%，首次续费率 72.0%
- 17 至 32 天：转化率 43.7%，首次续费率 77.5%
Conversion peaks at 10 to 16 days. Past that, renewal keeps rising while fewer people convert. On the combined measure, 30.6% of 10 to 16 day trial users paid and renewed once, and the longer group did no better.
转化率在 10 至 16 天达到峰值。超过这个时长后，尽管续费率持续上升，但转化人数减少。综合衡量指标显示，10 至 16 天试用期的用户中有 30.6% 既付费又完成了一次续费，而更长试用期的群体表现并未更好。
For a monthly self-serve B2B product, the standard 14-day trial lands in the right range. Moving to 30 days gets you somewhat better retention and somewhat worse conversion. Which one you should favor depends on whether churn or conversion is the bigger leak in your funnel.
对于按月自助服务的 B2B 产品而言，标准的 14 天试用期处于合理区间。延长至 30 天会带来稍好的留存率，但转化率会稍差。你应该侧重哪一方，取决于在你的漏斗中，流失还是转化是更大的瓶颈。
Monthly buyers with no trial renewed at 49.5% vs. 77.5% after 17 to 32 day trials
无试用的月度买家续费率为 49.5%，而经过 17 至 32 天试用后的续费率为 77.5%
Some founders drop the trial entirely to force commitment. RevenueCat’s renewal data shows the cost:
一些创始人完全取消试用以强制用户做出承诺。RevenueCat 的续订数据显示了其代价：
- Weekly: 35.9% first renewal with no trial vs. 65.9% after 5 to 9 day trials
- Monthly: 49.5% with no trial vs. 77.5% after 17 to 32 day trials
- 周付：无试用首次续费率 35.9%，而经过 5 至 9 天试用后为 65.9%
- 月付：无试用续费率 49.5%，而经过 17 至 32 天试用后为 77.5%
Annual works differently. Buyers who paid for a year with no trial renewed at 26.6%, ahead of buyers who came through short trials (18.3% at 4 days or less, 25.3% at 5 to 9 days). Only 10+ day trials beat them, at 36.4% and 47.5%.
年付的情况有所不同。无试用直接购买年付的用户续费率为 26.6%，高于通过短期试用转化的买家（4 天或更短为 18.3%，5 至 9 天为 25.3%）。只有 10 天以上的试用期超过了他们，分别为 36.4% 和 47.5%。
In B2B terms, the no-trial annual buyer already knew what they wanted. That’s your sales-assisted or referral customer. The customer pushed into annual after a 3-day trial is the weakest cohort in the whole dataset. On annual plans, a short trial did worse than offering no trial.
从 B2B 的角度来看，无试用的年付买家已经清楚自己想要什么。这对应的是你的销售协助型或推荐型客户。而在 3 天试用后被推入年付的客户是整个数据集中最弱的群体。在年付计划中，短期试用的效果比不提供试用更差。
RevenueCat also points out that lower renewal doesn’t automatically mean lower profit. One case study they cite dropped the trial along with pricing and packaging changes, and the app earned enough per customer to fund paid acquisition. Removing the trial can work if you’ve priced for the renewal hit.
RevenueCat 还指出，较低的续费率并不自动意味着较低的利润。他们引用的一个案例研究中，公司在调整定价和包装的同时取消了试用，每个客户获得的收入足以支撑付费获客。如果你已经针对续费率下降进行了定价，那么取消试用是可行的。
AI app conversion fell from 38.5% to 31.8% once monthly trials went past 16 days
一旦月度试用超过 16 天，AI 应用的转化率便从 38.5% 降至 31.8%
For B2B + AI, this is the most important finding in the report.
对于 B2B + AI 领域，这是报告中最重要的发现。
AI products carry a cost traditional software doesn’t: every free session burns inference. A longer trial delays revenue and also adds spend on users who may never pay.
AI 产品承担着传统软件所没有的成本：每次免费会话都会消耗推理资源。更长的试用会推迟收入产生，并增加可能永远不会付费的用户支出。
The data shows longer trials stop paying off sooner for AI apps. On monthly plans, 5 to 9 day and 10 to 16 day trials converted about the same (38.2% and 38.5%), and 10 to 16 days renewed better (64.2% vs. 57.4%). At 17 to 32 days, conversion dropped to 31.8% and renewal held flat at 64.1%. Two extra weeks of free inference produced fewer customers and no retention gain.
数据显示，对于 AI 应用来说，较长的试用周期会更早失去收益优势。在月度计划中，5 至 9 天和 10 至 16 天的试用转化率大致相同（分别为 38.2% 和 38.5%），且 10 至 16 天的续订表现更好（64.2% vs. 57.4%）。当试用延长至 17 至 32 天时，转化率降至 31.8%，续订率持平于 64.1%。多两周的免费推理反而带来了更少的客户，且未带来留存率的提升。
On annual AI plans, 10 to 16 day trials converted 33.8% vs. 23.3% at 5 to 9 days, with first renewal at 29.4% vs. 19.6%.
在年度 AI 计划中，10 至 16 天试用的转化率为 33.8%，而 5 至 9 天为 23.3%；首次续订率分别为 29.4% 和 19.6%。
AI apps also converted and renewed below non-AI apps at every monthly trial length, so the margin for a bad trial setting is thinner.
在所有月度试用时长下，AI 应用的转化率和续订率均低于非 AI 应用，因此糟糕的试用设置带来的容错空间更小。
For B2B + AI products, about two weeks looks like the ceiling on time-based trials. If annual buyers need longer to evaluate, extend with a usage cap (credits, runs, seats) instead of more days. They get more calendar time and you don’t pay for more tokens.
对于 B2B + AI 产品，基于时间的试用上限约为两周。如果年度买家需要更长时间进行评估，应通过使用量限制（积分、运行次数、席位）来延长，而不是增加天数。这样用户获得了更多的日历时间，而你无需为更多的 token 付费。
Utilities apps renewed at 77.9% after the longest trials vs. 55% after the shortest
效用类应用在最长试用后的续订率为 77.9%，而在最短试用后仅为 55%
RevenueCat broke monthly results out by category. Utilities is the closest analog to a lot of B2B productivity software.
RevenueCat 按类别细分了月度结果。效用类应用与许多 B2B 生产力软件最为相似。
Conversion peaked at 10 to 16 days (47.4%) and dipped at 17 to 32 days (44.0%). First renewal kept rising the whole way, reaching 77.9% for the longest trials vs. 55% for trials of 4 days or less.
转化率在 10 至 16 天达到峰值（47.4%），在 17 至 32 天时下降至 44.0%。首次续订率持续上升，在最长试用时达到 77.9%，而在 4 天或更短的试用时为 55%。
A user can see a tool’s value after one task, which is enough to convert. Renewal depends on whether they came back and used it again and again. In B2B, a short trial can prove the product works. A longer one gives it time to get into a weekly workflow and pick up a second or third seat, and that’s what shows up in renewal.
用户在完成一项任务后即可感知工具的价值，这足以促成转化。续订则取决于他们是否反复回来再次使用。在 B2B 场景中，短期试用可以证明产品有效；而长期试用则给予其融入每周工作流以及吸引第二或第三个席位的时间，这正是续订数据所体现的。
North America and Western Europe converted better at every longer annual trial length
北美和西欧在每个更长的年度试用时长下转化率都更高
On annual plans, North America and Western Europe showed higher conversion at each step up in trial length, all the way to 17 to 32 days. Asia-Pacific followed the same curve through 10 to 16 days, then dropped.
在年度计划中，北美和西欧在试用时长每增加一个阶段时都显示出更高的转化率，直至 17 至 32 天。亚太地区在前 10 至 16 天内遵循相同的曲线，随后出现下降。
On monthly plans, the Middle East and Africa, India and Southeast Asia, and Latin America converted best at 5 to 9 days and worst on the longest trials. The widest gap was Middle East and Africa: 38.3% at 5 to 9 days vs. 27.4% at 17 to 32.
在月度计划中，中东和非洲、印度及东南亚、拉丁美洲在 5 至 9 天试用时转化率最高，在最长试用时最差。差距最大的是中东和非洲地区：5 至 9 天为 38.3%，而 17 至 32 天仅为 27.4%。
If most of your revenue is US and Europe, the longer annual trial holds up. If you’re expanding into other regions, test a shorter trial there.
如果你的大部分收入来自美国和欧洲，较长的年度试用是可行的。如果你正在扩展到其他地区，请在那里测试较短的试用期。
Users still active on day 25 of a trial were always more likely to pay
在试用第25天仍然活跃的用户更有可能付费
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力