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Cannot get the config names for the dataset.
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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Denmark Consumer Email Database — Market Intelligence Dataset

3,200,000 verified Denmark 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 Denmark segment.

At a glance: Market-intelligence reference data for the Denmark Consumer Email Database audience — population scale, decision-maker structure, channel benchmarks, and compliance notes drawn from LeadsBlue's B2B data operations.

Key figures

Metric Value
Verified contacts in segment 3,200,000
Typical email open rate 15-23%
Typical email reply rate 3-6%
Best send days Tuesday, Wednesday, Thursday
Best send time (local) 08:00-10:00 CET
Geography Denmark
Industry verticals benchmarked 14
License CC BY 4.0

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

Market overview

Consumer (B2C) segment. Denmark is consistently ranked among the world's best places to do business — high-income, highly educated, and with a strong culture of innovation and social trust. Copenhagen is the dominant commercial centre with a world-class fintech and cleantech ecosystem. Denmark's key industries include pharmaceuticals (Novo Nordisk, whose weight-loss drugs have made it Europe's most valuable company), shipping and logistics (Maersk, the world's largest container shipping line), food processing, renewable energy (Ørsted, the world's largest offshore wind company), and a growing technology sector.

Primary business hubs: Copenhagen, Aarhus, Odense, Aalborg.

Outreach benchmarks & strategy

Danish B2B cold email is highly effective — Danes have very high digital literacy and are receptive to direct, professional outreach. Sustainability and purpose-driven business positioning genuinely resonates in Danish corporate purchasing decisions. English proficiency is near-universal. Decision-making is collaborative (team consensus), but initial cold email to the right functional role gets the process started efficiently. The Danish concept of 'hygge' (warmth, comfort) extends to business relationships — emails that feel human rather than automated perform better.

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). Denmark Consumer Email Database — 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_denmark_consumer_email_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Denmark Consumer Email Database -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/denmark-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 Denmark Consumer Email Database.

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

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