<p>随着顶级应用商店涌现出大量人工智能应用，开发者可能认为将人工智能技术整合到自己的产品中是盈利的最佳选择。然而，一项针对 iOS、Android 和网页的订阅应用生态系统的新研究对此假设提出了质疑。</p>
<p>提供订阅管理工具的公司 RevenueCat 在其 2026 年订阅应用状态报告中表示，人工智能的整合并不能保证长期留存。相反，报告指出，人工智能驱动的应用在留存用户方面表现不佳，用户取消年度订阅的速度比非人工智能应用快 30%，这是一个被称为流失率的指标。</p>
<p>该报告基于对使用 RevenueCat 工具管理超过 10 亿次应用内交易的订阅应用提供商的分析，这些交易每年为开发者创造超过 110 亿美元的收入。作为该领域较受欢迎的工具之一，其数据在趋势分析方面代表了一个健康的样本。</p>
<p>在许多有趣的发现中，报告指出，使用该公司平台的大多数应用尚未由人工智能驱动。人工智能驱动的应用在所有类别中占 27.1%，而非人工智能应用占 72.9%。尽管如此，这仍是一个增长中的类别，约四分之一的应用现在是由人工智能驱动的。</p>
<p>（需要明确的是，人工智能驱动的应用类别不仅包括流行的人工智能聊天机器人，如 ChatGPT 和 Gemini，还包括任何自我宣传为人工智能驱动的应用。）</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="418" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA"/></p>
<p>RevenueCat：按类别划分的人工智能与非人工智能应用 <strong>图片来源：</strong> RevenueCat</p>
<p>照片和视频应用占人工智能应用的最大份额（61.4%），而游戏应用的份额最小，仅为 6.2%。旅行（12.3%）和商业（19.1%）也是低人工智能细分市场。</p>
<p>更令人惊讶的数据是关于人工智能应用留存付费客户的能力。RevenueCat 的数据表明，人工智能应用在月度和年度留存方面表现不佳。</p>
<p>年度留存率是一个关注应用在 12 个月后留存订阅用户能力的指标，人工智能应用的留存率为 21.1%，而非人工智能应用的留存率为 30.7%。在月度方面，人工智能应用的留存率为 6.1%，而非人工智能应用为 9.5%——相差 3.4 个百分点。</p>
<p>人工智能在留存方面唯一领先的领域是每周留存，人工智能应用的留存率为 2.5%，而非人工智能应用为 1.7%。值得注意的是，每周订阅并不是人工智能应用最受欢迎的选择。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="407" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA"/></p>
<p><strong>图片来源：</strong> RevenueCat</p>
<p>这些指标可能受到人工智能技术快速变化的影响，这可能导致用户在不同的人工智能应用之间更快地跳跃，因为他们试图找到技术最先进的应用。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="405" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA"/></p>
<p>按订阅计划类型划分的人工智能与非人工智能应用 <strong>图片来源：</strong> RevenueCat</p>
<p>随着客户尝试越来越多的人工智能应用，他们也更有可能发现某些应用无法满足他们的需求。报告指出，人工智能应用的退款率比非人工智能应用高 20%（中位数为 4.2% 对 3.5%）。</p>
<p>人工智能应用的退款率上限也更高（15.6% 对 12.5%），这表明 “实现收入的波动性更大，用户价值、体验和长期质量存在更深层次的问题，” 报告指出。</p>
<p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="680" height="406" original-src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA"/></p>
<p>截图 <strong>图片来源：</strong> RevenueCat</p>
<p>数据表明，成为人工智能驱动应用群体的一部分也有一些好处。</p>
<p>RevenueCat 发现，人工智能应用将用户从试用转化为付费客户的效果比非人工智能应用好 52%（中位数为 8.5% 对 5.6%），而人工智能应用的下载变现效果比非人工智能应用好约 20%（中位数为 2.4% 对 2.0%）。</p>
<p>人工智能应用的每月实际生命周期价值（RLTV）也高出 39% 或更多，这一指标衡量的是平均付费用户随时间的实际净值。人工智能应用在这一指标上的中位数为每月 18.92 美元，而非人工智能应用为 13.59 美元。人工智能应用在年度基础上维持 41% 或更高的 RLTV，中位数为 30.16 美元对 21.37 美元。</p>
<p>报告的总体结论是，人工智能可以推动强劲的早期变现，但这些应用在长期内难以维持其对客户的价值。</p>

<p>一项由 RevenueCat 进行的新研究显示，尽管人工智能驱动的应用程序越来越受欢迎，但它们在长期订阅者留存方面面临困难。报告指出，人工智能应用的流失率比非人工智能应用高出 30%，年留存率分别为 21.1% 和 30.7%。尽管初期的货币化和转化率更好，人工智能应用在维持用户价值方面面临挑战，导致更高的退款率和收入波动。总体而言，研究结果表明，整合人工智能并不保证客户的持久忠诚度</p>

<p>With the top app stores flooded with AI apps, developers may think the best bet for turning a profit is to integrate artificial intelligence technology into their own products. However, a new study focused on the subscription app ecosystem across iOS, Android, and web is calling that assumption into question.</p>
<div class="lb-trans"><p>随着顶级应用商店涌现出大量人工智能应用，开发者可能认为将人工智能技术整合到自己的产品中是盈利的最佳选择。然而，一项针对 iOS、Android 和网页的订阅应用生态系统的新研究对此假设提出了质疑。</p>
</div><p>RevenueCat, a company that offers subscription management tools used by over 75,000 app developers, said in its 2026 State of Subscription Apps Report that AI integration is not a guarantee of long-term retention. Instead, AI-powered apps struggle to retain subscribers, with people canceling their annual subscriptions — a metric known as churn — 30% faster than non-AI apps, at the median, according to the report.</p>
<div class="lb-trans"><p>提供订阅管理工具的公司 RevenueCat 在其 2026 年订阅应用状态报告中表示，人工智能的整合并不能保证长期留存。相反，报告指出，人工智能驱动的应用在留存用户方面表现不佳，用户取消年度订阅的速度比非人工智能应用快 30%，这是一个被称为流失率的指标。</p>
</div><p>The report is based on an analysis of the subscription app providers that use RevenueCat’s tools to manage their more than 1 billion in-app transactions, generating more than $11 billion in revenue for developers annually. As one of the more popular tools in this space, its data represents a healthy sample in terms of trend analysis.</p>
<div class="lb-trans"><p>该报告基于对使用 RevenueCat 工具管理超过 10 亿次应用内交易的订阅应用提供商的分析，这些交易每年为开发者创造超过 110 亿美元的收入。作为该领域较受欢迎的工具之一，其数据在趋势分析方面代表了一个健康的样本。</p>
</div><p>Among the many interesting findings, the report noted that most of the apps using the company’s platform are not yet powered by AI. AI-powered apps account for 27.1% of apps across all categories, compared with 72.9% for non-AI apps. Still, it’s a growing category, as roughly one in four apps is now AI-powered.</p>
<div class="lb-trans"><p>在许多有趣的发现中，报告指出，使用该公司平台的大多数应用尚未由人工智能驱动。人工智能驱动的应用在所有类别中占 27.1%，而非人工智能应用占 72.9%。尽管如此，这仍是一个增长中的类别，约四分之一的应用现在是由人工智能驱动的。</p>
</div><p>(To be clear, the AI-powered apps category doesn’t only include the popular AI chatbots, like ChatGPT and Gemini, but also includes any app that markets itself as being AI-powered.)</p>
<div class="lb-trans"><p>（需要明确的是，人工智能驱动的应用类别不仅包括流行的人工智能聊天机器人，如 ChatGPT 和 Gemini，还包括任何自我宣传为人工智能驱动的应用。）</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-category.jpeg?w=680"/></p>
<p>REvenuecat: AI vs Non-AI apps by category<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>RevenueCat：按类别划分的人工智能与非人工智能应用 <strong>图片来源：</strong> RevenueCat</p>
</div><p>Photo &amp; Video apps have the biggest share (61.4%) of AI-powered apps, while gaming has the smallest share at 6.2%. Travel (12.3%) and Business (19.1%) are also low-AI segments.</p>
<div class="lb-trans"><p>照片和视频应用占人工智能应用的最大份额（61.4%），而游戏应用的份额最小，仅为 6.2%。旅行（12.3%）和商业（19.1%）也是低人工智能细分市场。</p>
</div><p>The more surprising figures are around AI apps’ ability to retain their paying customers. AI apps underperform on retention at both a monthly and annual level, RevenueCat’s data shows.</p>
<div class="lb-trans"><p>更令人惊讶的数据是关于人工智能应用留存付费客户的能力。RevenueCat 的数据表明，人工智能应用在月度和年度留存方面表现不佳。</p>
</div><p>Annual retention, a metric focused on the app’s ability to retain subscribers after 12 months, was 21.1% for AI apps, compared with a higher 30.7% for non-AI apps. Monthly, AI apps saw 6.1% retention rates, versus 9.5% for non-AIs — a difference of 3.4 percentage points.</p>
<div class="lb-trans"><p>年度留存率是一个关注应用在 12 个月后留存订阅用户能力的指标，人工智能应用的留存率为 21.1%，而非人工智能应用的留存率为 30.7%。在月度方面，人工智能应用的留存率为 6.1%，而非人工智能应用为 9.5%——相差 3.4 个百分点。</p>
</div><p>The only area where AI led on retention was on the weekly front, where AI apps had 2.5% retention rates compared with 1.7% for non-AI apps. It’s worth noting that weekly subscriptions are not the most popular option for AI apps.</p>
<div class="lb-trans"><p>人工智能在留存方面唯一领先的领域是每周留存，人工智能应用的留存率为 2.5%，而非人工智能应用为 1.7%。值得注意的是，每周订阅并不是人工智能应用最受欢迎的选择。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-retention-rates.jpeg?w=680"/></p>
<p><strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p><strong>图片来源：</strong> RevenueCat</p>
</div><p>These metrics could be influenced by the rapidly-changing state of AI technology, which could see users hopping between different AI apps more quickly, as they try to find the one that has the most current technology under the hood.</p>
<div class="lb-trans"><p>这些指标可能受到人工智能技术快速变化的影响，这可能导致用户在不同的人工智能应用之间更快地跳跃，因为他们试图找到技术最先进的应用。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/ai-apps-by-plans.jpeg?w=680"/></p>
<p>AI vs non-AI apps by subscription plan type<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>按订阅计划类型划分的人工智能与非人工智能应用 <strong>图片来源：</strong> RevenueCat</p>
</div><p>As customers experiment with a growing number of AI apps, they’re also more likely to find that some don’t meet their needs. The report notes that AI apps have 20% higher refund rates (4.2% vs.3.5% at the median) than non-AI apps do.</p>
<div class="lb-trans"><p>随着客户尝试越来越多的人工智能应用，他们也更有可能发现某些应用无法满足他们的需求。报告指出，人工智能应用的退款率比非人工智能应用高 20%（中位数为 4.2% 对 3.5%）。</p>
</div><p>The upper bound of refund rates for AI apps is also higher (15.6% vs. 12.5%), suggesting there’s “greater volatility in realized revenue and deeper issues in user value, experience, and long-term quality,” the report notes.</p>
<div class="lb-trans"><p>人工智能应用的退款率上限也更高（15.6% 对 12.5%），这表明 “实现收入的波动性更大，用户价值、体验和长期质量存在更深层次的问题，” 报告指出。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg/query-dz02ODA" alt="" original-src="https://techcrunch.com/wp-content/uploads/2026/03/Screenshot-2026-03-10-at-2.03.53-PM.jpg?w=680"/></p>
<p>Screenshot<strong>Image Credits:</strong> RevenueCat</p>
<div class="lb-trans"><p>截图 <strong>图片来源：</strong> RevenueCat</p>
</div><p>There are some benefits to being in the AI-powered apps cohort, the data indicates.</p>
<div class="lb-trans"><p>数据表明，成为人工智能驱动应用群体的一部分也有一些好处。</p>
</div><p>RevenueCat found that AI apps convert users from trials to paid customers 52% better than non-AI apps (8.5% vs. 5.6% at the median), and AI apps monetize their downloads around 20% better than non-AI apps (2.4% to 2.0% at the median).</p>
<div class="lb-trans"><p>RevenueCat 发现，人工智能应用将用户从试用转化为付费客户的效果比非人工智能应用好 52%（中位数为 8.5% 对 5.6%），而人工智能应用的下载变现效果比非人工智能应用好约 20%（中位数为 2.4% 对 2.0%）。</p>
</div><p>AI apps also generate 39% or higher monthly realized lifetime value (RLTV), a metric that measures the actual net value of an average paying user over time. AI apps’ median on this metric is $18.92 per month, compared with $13.59 for non-AI apps. AI apps also sustain a 41% or higher RLTV on an annual basis, at $30.16 vs. $21.37, also at the median.</p>
<div class="lb-trans"><p>人工智能应用的每月实际生命周期价值（RLTV）也高出 39% 或更多，这一指标衡量的是平均付费用户随时间的实际净值。人工智能应用在这一指标上的中位数为每月 18.92 美元，而非人工智能应用为 13.59 美元。人工智能应用在年度基础上维持 41% 或更高的 RLTV，中位数为 30.16 美元对 21.37 美元。</p>
</div><p>The overall takeaway from the report’s findings is that AI can drive strong, early monetization, but these apps are struggling to sustain their value with customers over time.</p>
<div class="lb-trans"><p>报告的总体结论是，人工智能可以推动强劲的早期变现，但这些应用在长期内难以维持其对客户的价值。</p>
</div>

新数据显示，人工智能驱动的应用程序能够盈利，但在长期用户留存方面面临挑战