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'

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

South Korea Consumer Mailing List — Market Intelligence Dataset

3,400,000 verified South Korea 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 South Korea segment.

At a glance: This dataset provides aggregated market-intelligence on the South Korea Consumer Mailing 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	3,400,000
Typical email open rate	13-20%
Typical email reply rate	2-4%
Best send days	Tuesday, Wednesday, Thursday
Best send time (local)	09:00-11:00 KST
Geography	South Korea
Industry verticals benchmarked	14
License	CC BY 4.0

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

Market overview

Consumer (B2C) segment. South Korea's economy is anchored by the chaebol — large family-controlled conglomerates including Samsung, LG, Hyundai, SK, and Lotte — whose combined revenue equals approximately 80% of Korean GDP. These conglomerates have highly centralised procurement processes, making cold email to individual decision-makers less effective than relationship cultivation with corporate development or procurement teams. However, Korea's SME ecosystem — particularly the technology, fintech, and digital content sectors centred in Seoul's Gangnam district and the Pangyo Techno Valley — is more accessible and growing rapidly.

Primary business hubs: Seoul (Gangnam, Pangyo), Busan, Incheon, Daejeon (KAIST/research), Ulsan (heavy industry).

Outreach benchmarks & strategy

Korean B2B outreach is most effective when it comes through a warm channel — either a mutual contact in the ecosystem or a formal introduction at a trade event (Korea has a rich trade show culture; major events like KES, KIMES, and Startup:CON carry significant business-development weight). Cold email to Korean decision-makers should be formal (titles matter), in Korean if at all possible, and should reference a specific connection to the Korean market such as existing Korean clients, Korea-specific case studies, or demonstrated knowledge of the recipient's sector.

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

Statistics are derived from LeadsBlue's verified database counts combined with published market baselines. This dataset contains aggregate figures only; it includes no individual contact records.

How to cite

LeadsBlue Research. (2026). South Korea Consumer Mailing 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_south_korea_consumer_mailing_list_2026,
  author    = {Johnson, Luther},
  title     = {South Korea Consumer Mailing List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/southkorea-consumer-email-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 South Korea Consumer Mailing List.

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

Downloads last month: 8

Total file size:

22.5 kB