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 Business Contact List — Market Intelligence Dataset

2,600,000 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: Market-intelligence reference data for the Germany Business Contact List 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	2,600,000
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 Business Contact List — individual verified business records, ready to use: Download from LeadsBlue →

Market overview

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

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). Germany Business Contact 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_forex_traders_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Germany Business Contact List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/germany-business-email-leads-database/}
}

Source & full dataset

This aggregate dataset is published by LeadsBlue Research. The full verified business email list — with individual business contact records — is available at Germany Business Contact List.

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

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