Xiaobang
Online insurance education and advisory platform serving China's emerging middle class
Overview
Xiaobang (Chinese: 小帮规划, also romanized as Xiaobang Guihua) is a Beijing-based insurtech platform that educates and advises Chinese consumers on insurance and financial products. Founded in May 2017, the company operates an all-digital model that takes users from initial awareness through education, one-on-one consultation, and insurance product recommendations. Its primary target is China's emerging middle class -- households with annual incomes between CNY 100,000 and CNY 1 million seeking guidance on insurance and wealth planning.
The platform distributes self-developed courses through WeChat, its own mobile application, and third-party platforms including Nicomama, ichazuo.com, investorscn.com, and NetEase. High-intent users progress to personalized consulting sessions with financial advisors, with over 100,000 such engagements completed by mid-2019. Xiaobang's proprietary advisor tools increase planner efficiency by more than 10 times compared to traditional workflows. A financial education sub-brand, Xiaobang Shangxueyuan, extends reach to a broader investment and wealth education audience.
Xiaobang had surpassed 6 million registered users by 2021 and reported approximately CNY 300 million (USD 42.6 million) in assets under management as of mid-2019. The company raised a USD 28.4 million Series B led by Tencent in August 2019, with participation from Sequoia Capital China, RGA Reinsurance Group, and BlueRun Ventures. A further undisclosed Series B-plus round followed in January 2021, co-led by Lingfeng Capital and investor Yuri Milner.
Products & Services
Insurance Education Courses
Self-developed online courses that teach consumers how to evaluate and purchase insurance and financial products. Distributed through Xiaobang's WeChat public account and third-party platforms including Nicomama, ichazuo.com, investorscn.com, and NetEase.
Key Features
- Curriculum covering insurance product evaluation and financial planning
- Multi-platform distribution (WeChat, proprietary app, third-party channels)
- Designed for consumers with limited prior financial knowledge
Target Users: Chinese consumers, emerging middle class households
One-on-One Financial Consulting
Personalized consulting sessions with financial advisors offered to users who progress through the education funnel. Over 100,000 consulting engagements had been completed as of mid-2019.
Key Features
- Technology-assisted advisor workflow (10x efficiency gain reported)
- Human advisors supported by proprietary platform tools
- Progression from self-paced education to personalized advice
Target Users: High-intent users seeking customized insurance and financial plans
Xiaobang Shangxueyuan (Financial Education Sub-brand)
A dedicated financial education unit offering broader investment and wealth education content. The sub-brand had accumulated over 3 million registered users as of 2019.
Key Features
- Investment and wealth education beyond insurance
- Separate registered user base of 3 million+
- Complements the core insurance advisory offering
Target Users: Chinese consumers interested in general personal finance education
Insurance Product Recommendations
Following the education and consultation journey, Xiaobang recommends insurance products matched to each user's profile, acting as a digital distribution channel.
Key Features
- Personalized product matching based on completed consultation
- Long-term product focus (three-quarters of premiums from long-term products)
- 40% reported conversion rate from all-digital customer engagement process
Target Users: Users who have completed the education and consulting funnel
At a Glance
- Founded
- 2017
- Headquarters
- Beijing, China
- Employees
- 51-200
- Funding
- Series B+
Category & Focus
- Category
- Distribution & Sales
- Subcategories
- Digital Insurance Distribution InsurTech Education
- Insurance Verticals
- Life & Annuity
- Target Customers
- Consumers
Customers
- China's emerging middle class (B2C platform, no named enterprise clients)
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Last updated: 2026-05-18