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倍受移动行业领先企业的信赖
为全球顶级应用设定参与度基准
探索各移动类别中的用户行为趋势，从社交网络到订阅视频点播（SVOD）和零工应用。比较用户花费的时间、会话次数以及随时间的表现，以了解主要竞争者的实际参与度。
基于真实的数据设置您的业绩指标
通过专有视图与数据评估顶级应用的真实表现
获得准确且未经过滤的用户留存数据
通过每周数据，解析真实的留存率、会话数和使用时长
评估锁定相同目标用户的应用程序
通过关键的类别划分应用内行为，了解细分市场的用户参与度
构建自定义群组并分析留存趋势
使用真实数据，为特定用户群体定义参与度基准和流失行为。将应用表现与更广泛的类别进行比较，识别倾向于特定应用的用户群体，并揭示主要应用的周度与月度留存洞察。
揭示每日与每小时的移动用户行为
通过我们的专有小组深入了解用户行为。分析用户每小时如何与应用互动，比较相似应用类别的使用情况，并探索区域与全球受众之间的差异。
分析师，纽约对冲基金（管理20亿美元资产）
“Sensor Tower的用户情报是一大关键助力，它帮助我们为客户做出重要投资决策，并随时紧跟移动市场的关键趋势。”
Frequently Asked Questions
1. What is Advanced Usage Insights?
Advanced Usage reports give subscribers direct access to Sensor Tower’s proprietary panel of mobile users in order to better understand consumer behavior and changing usage patterns of the world’s most popular mobile apps.
2. What data does it provide?
Advanced Usage Insights allows you to analyze:
Time spent
Session counts
Week-to-week retention
Hourly and daily user engagement
Cross-app usage
Acquisition and churn analysis
3. Who benefits from Advanced Usage Insights?
Mobile product teams, product, growth, and analyst teams use Advanced Usage Insights to benchmark app performance and identify areas for user engagement improvements.
4. Can Advanced Usage Insights help with retention strategy?
Yes, it allows you to see real-world, week-to-week retention and churn patterns across user segments and app categories.
5. How do you use Advanced Usage Insights to assess competition?
By comparing usage trends (like sessions and time spent) across competing apps and categories, teams can understand where they lead or lag behind.
6. What is unique about its panel data?
The insights are based on a proprietary panel of millions of mobile users, giving a real-world view of engagement rather than solely store-derived metrics.Unlike our other usage data, Advanced Usage reports are free of additional filtering, allowing for the most robust picture of the global engagement of many of the most popular apps in the world.
7. Can you build custom cohorts in Advanced Usage Insights?
Yes, you can segment users into cohorts to analyze engagement and retention behaviors tailored to specific audiences.
