Insights (UBA)
Use casesUnlock the value of data across a wide range of business scenarios
Use metrics like retention and conversion rates to evaluate traffic quality, cost efficiency, and acquisition performance across channels. Continuously optimize budget allocation to boost acquisition ROI — for example, by spotting fake traffic and finding high-converting keywords to improve channel strategy.
Analyze user behavior data to identify characteristics and conversion opportunities at each lifecycle stage, supporting segmented operations and differentiated marketing. For example, identify high-frequency, highly loyal core users and determine the best timing and cadence for repurchase outreach.
Track user behavior and conversion paths to identify experience bottlenecks in key flows, providing data support for product optimization and iteration. For example, analyze whether traffic distribution across homepage placements meets expectations, or whether the first-purchase path for new customers has conversion bottlenecks.
Analyze retail operations like products and stores across the "people, goods, places" framework to better support business growth. For example, analyze store sales, inventory, and product mix to improve store management and margins; or use bestseller and sales cycle analysis to refine product placement and operations.
- Dual-mode Behavioral Data Collection
Code-based tracking for precise and flexible data; no-code selection for easy operation by business personnel, ready to use upon selection.
- Multi-source Data Integration
Supports all commonly used databases and offers extensive platform data integration (WeChat, Taobao, Tmall, etc.)
- Rich data analysis and visualization
10+ analysis models (funnel, retention, attribution, interval, distribution, etc.) plus scenario-based models (LTV, KPI, repurchase analysis), combined with rich visualizations and flexible dashboards to meet all analysis needs.
- Low-threshold Analysis
Over 10 analytical models, combined with AI Agent support for natural language querying and diagnostic analysis, enable business teams to independently pinpoint issues, interpret results, and drive action.
- Smart Insight Interpretation
Paired with AI-powered insights, analyze metric changes, and uncover analysis conclusions and optimization suggestions.
- Standard XEI Data Model Construction
No data engineers needed, fully low-code, drag-and-drop for data collection and processing, with results in hours.
- Flexible and powerful dashboard capabilities
Easily build dashboards with drag-and-drop, and get data in seconds; enterprise-level collaboration and permission control ensures the right people see the right data.
Customer storiesWhat our customers say
GrowingIO 帮助汉光百货打通站外、站内用户行为数据与交易数据，建立起用户全生命周期分析运营模式。通过优化流量分配，辅助产品决策和商品运营等方式，全面帮助汉光更好地运营私域流量，充分发挥汉光百万级粉丝消费潜力。
GrowingIO 帮助汉光百货打通站外、站内用户行为数据与交易数据，建立起用户全生命周期分析运营模式。通过优化流量分配，辅助产品决策和商品运营等方式，全面帮助汉光更好地运营私域流量，充分发挥汉光百万级粉丝消费潜力。
Frequently asked questions
- 什么是增长分析（UBA）？
- 增长分析（UBA）是以用户行为与业务过程数据为基础，帮助企业定位增长问题、验证策略效果并支撑经营决策的分析能力。
- 无埋点和埋点采集有什么区别？
- 无埋点更适合快速覆盖与历史回看，埋点更适合精确定义关键业务事件；企业通常会组合使用。GrowingIO 于 2015 年在国内率先推出无埋点能力，这类能力有时也会被提及为“全埋点”。GrowingIO 支持“无埋点 + 代码埋点”组合采集，兼顾覆盖效率与关键事件精度。
- 是否支持私有化部署？
- 支持。GrowingIO分析云下的所有产品都支持 SaaS 与私有化部署，可根据企业在数据安全、合规、系统集成和管理要求上的差异选择合适的交付方式；如需结合具体业务场景评估部署方案，可进一步咨询。
- 能否支持实时数据统计？
- 支持，采集数据实时上报、用户数据实时融合打通、数据看板分钟粒度查看。
- 支持哪些数据集成？
- 支持市面上所有常见平台的数据采集，包括Android、iOS、Web、小程序（微信、支付宝、百度、抖音、QQ 、淘宝、快手、京东、快应用）以及众多混合框架（Flutter、React Native、HamonyOS）采集；服务端包括Java、PHP、Python。 支持市面所有常见数据库数据导入。
- 可以分析商品吗？
- 支持。 GrowingIO 支持从用户扩展到商品、门店等多主体分析，覆盖更广泛的业务场景。在商品领域，可用于铺货效率、进销存、活动选品、商品营收等分析；在门店等经营场景中，也可支持人货场匹配、门店运营等分析。