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The dataset viewer is not available for this dataset.
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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Germany Consumer Email List — Market Intelligence Dataset

24,000,000 verified Germany 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 Germany segment.

At a glance: A research dataset describing the Germany Consumer Email List market: verified-contact volume, industry distribution, outreach benchmarks, and regulatory framework, published by LeadsBlue Research under CC BY 4.0.

Key figures

Metric Value
Verified contacts in segment 24,000,000
Typical email open rate 15-22%
Typical email reply rate 2-5%
Best send days Tuesday, Wednesday, Thursday
Best send time (local) 09:00-11:00 CET
Geography Germany
Industry verticals benchmarked 14
License CC BY 4.0

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

Market overview

Consumer (B2C) segment. Germany's business landscape is defined by the Mittelstand — approximately 3.5 million family-owned SMEs that generate over €2 trillion in annual revenue and employ 60% of the German workforce. These are not small corner shops: the average German Mittelstand company employs 30-250 people, exports to multiple countries, and holds global market leadership in highly specific B2B niches. Automotive (BMW, Mercedes, Volkswagen supply chains across Bavaria and Baden-Württemberg), mechanical engineering, chemical manufacturing (BASF, Bayer), and precision instruments form the core of the data-dense B2B market.

Primary business hubs: Frankfurt, Munich, Hamburg, Berlin, Düsseldorf.

Outreach benchmarks & strategy

German B2B cold email rewards precision and penalises generic copy. Subject lines referencing a specific industry challenge with a measurable number outperform personalisation tokens. Email content should be structured, factual, and avoid superlatives — German executives are trained to discount 'world-class', 'leading', and 'revolutionary'. Case studies from comparable German companies outperform international references by a wide margin. Response times are slow by US standards — allow 5-7 business days before the first follow-up. Sending in German increases open rates by 18-24% for targets outside of multinational executive roles.

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). Germany 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_germany_consumer_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Germany Consumer Email List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/germany-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 Germany Consumer Email List.

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

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