Gunjo · Business Intelligence for the AI Era
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Consumer Profile Compliance Data Intermediary Trading Platform

1) Subscription fees or pay-per-call API fees charged to data consumers; 2) Matching and compliance certification servic

MODEL

Key Fields

FIELD STAMPS
IndustrySaaS / Enterprise Software
RegionChina
ScaleMid-size
ChannelOnline

📌 Background

In 2026, China's data element market accelerated its transition toward a platform-based and service-oriented ecosystem, with listed products on the Shanghai Data Exchange surpassing 800. As high-frequency, high-value assets, consumer behavior data has seen a significant surge in demand for cross-enterprise circulation under compliance prerequisites. By establishing standardized authorization, anonymization, and pricing mechanisms, data intermediary platforms have become key infrastructure connecting data suppliers and brand owners.

👤 Target Customers

B2B customers requiring consumer behavior insights, such as brand owners, retail enterprises, and market research institutions

💰 Revenue Streams

1) Subscription fees or pay-per-call API fees charged to data consumers; 2) Matching and compliance certification service fees charged to data providers; 3) Revenue generated from data value-added services such as profile analysis reports.

🧮 Cost Structure

Data compliance certification and auditing costs, platform development and maintenance costs, data cleaning and anonymization processing costs, sales and business development costs

🛡️ Moat

Possession of scarce compliant consumer data sources and a stable data supply network. Establishment of a standardized data authorization and pricing system, forming a de facto standard for data product transactions. Data product compliance auditing capabilities constitute a competitive barrier.

🔑 Keys to Success

  • Establish strict data compliance review and anonymization standards
  • Aggregate multi-source consumer data to form unique profile products
  • Lower the adoption barrier for B2B customers through APIs and subscription models

⚠️ Risks

  • Changes in data compliance policies may lead to the delisting of certain data products
  • Disintermediation risks where data suppliers and consumers bypass the platform

🏢 Cases

  • Daily Interactive Co., Ltd. data services
  • Shanghai Data Exchange consumer data product listings and transactions
  • Marco Big Data consumer profiling services

📊 SWOT Analysis

Strengths

  • High demand for consumer data and frequent transaction frequency
  • Data compliance review capabilities build trust barriers
  • Standardized API interfaces reduce customer integration costs

Weaknesses

  • Limited initial data supply scale on the platform
  • Compliance certification processes may lengthen transaction cycles
  • High dependency on single-industry data sources

Opportunities

  • Continued release of policy dividends for data elements
  • Increased budgets from brand owners for precision marketing and customer insights
  • Potential for expansion into more categories such as device data and industry intelligence

Threats

  • Large internet platforms building proprietary data trading systems
  • Stricter data security regulatory policies increasing compliance costs
  • Data suppliers bypassing the platform for direct transactions