Error code:   ConfigNamesError
Exception:    AttributeError
Message:      'str' object has no attribute 'items'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 690, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                                                 ^^^^^^^^^^^^^^^^^^^^^^^
              AttributeError: 'str' object has no attribute 'items'

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China Consumer Email List — Market Intelligence Dataset

195,000,000 verified China contacts are available from LeadsBlue →. This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the China segment.

At a glance: This dataset provides aggregated market-intelligence on the China Consumer Email List segment — real business-population statistics, cold-email performance benchmarks, and compliance context compiled by LeadsBlue Research.

Key figures

Metric	Value
Verified contacts in segment	195,000,000
Typical email open rate	10-16%
Typical email reply rate	1-3%
Best send days	Tuesday, Wednesday
Best send time (local)	10:00-12:00 CST
Geography	China
Industry verticals benchmarked	14
License	CC BY 4.0

📥 Get the full China Consumer Email List — individual verified business records, ready to use: Download from LeadsBlue →

Market overview

Consumer (B2C) segment. China is the world's 2nd largest economy with over 45 million registered market entities, but it operates under a data regulatory and communication infrastructure that makes standard B2B cold email largely ineffective for foreign companies. The Great Firewall blocks most foreign email services, and WeChat (not email) is the primary B2B communication tool for Chinese business. That said, for foreign companies or joint ventures operating within China, the B2B data landscape in Tier 1 cities (Shanghai, Beijing, Shenzhen, Guangzhou) is dense and internationally accessible. Shanghai is the commercial capital; Beijing is the political and technology policy centre; Shenzhen is the hardware/electronics manufacturing hub; Hangzhou hosts Alibaba's headquarters and a dense e-commerce ecosystem.

Primary business hubs: Shanghai (Pudong, Lujiazui), Beijing (Zhongguancun tech hub), Shenzhen (tech/hardware), Guangzhou, Hangzhou (e-commerce).

Outreach benchmarks & strategy

B2B outreach into Chinese companies from international companies is best approached via WeChat, trade delegations, or Chinese platform (Alibaba, Made-in-China.com) presence rather than cold email. For the foreign MNC community operating in China, standard cold email works well — these executives are internationally oriented and email-responsive. Approaching Chinese companies at international trade shows or through Chinese chambers of commerce is more productive than cold digital outreach for domestic Chinese decision-makers.

Files in this dataset

File	Contents
`data/market_overview.csv`	Segment-level metrics: contact volume, benchmark rates, send timing
`data/industry_benchmarks.csv`	Open/reply benchmarks across 14 industry verticals
`data/compliance.csv`	Regulatory framework, business culture, decision-maker profile, hubs

Methodology

All numbers are segment-level aggregates from LeadsBlue's data operations and public baselines. The dataset is intentionally aggregate-only and contains no personally identifiable information.

How to cite

LeadsBlue Research. (2026). China Consumer Email List — Market Intelligence Dataset. Derived from the B2B Cold Email Benchmark Report 2026 (https://doi.org/10.5281/zenodo.20136256). CC BY 4.0. Source: https://leadsblue.com

@dataset{leadsblue_china_consumer_dataset_2026,
  author    = {Johnson, Luther},
  title     = {China Consumer Email List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/china-consumer-email-list-database/}
}

Source & full dataset

This aggregate dataset is published by LeadsBlue Research. The full verified consumer email list — with individual business contact records — is available at China Consumer Email List.

Related resources: Benchmark report (Zenodo) · Research hub · Interactive tools

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