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.

Russia Consumer Email List — Market Intelligence Dataset

8,500,000 verified Russia 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 Russia segment.

At a glance: Market-intelligence reference data for the Russia Consumer Email 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	8,500,000
Typical email open rate	12-18%
Typical email reply rate	1.5-3%
Best send days	Tuesday, Wednesday, Thursday
Best send time (local)	10:00-12:00 MSK
Geography	Russia
Industry verticals benchmarked	14
License	CC BY 4.0

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

Market overview

Consumer (B2C) segment. Russia is the world's 11th largest economy by GDP but operates under unprecedented international sanctions since 2022. Most Western companies have reduced or eliminated Russian operations. The B2B database represents pre-sanctions Russian business contacts — the landscape has changed substantially. Moscow remains Russia's commercial capital with a significant domestic economy serving the Russian market; St. Petersburg is the 2nd commercial centre. For companies still operating in Russia or targeting domestic Russian-serving businesses, the market is large (145 million people) but complex to navigate under current sanctions frameworks.

Primary business hubs: Moscow (Moscow City business district), St. Petersburg, Novosibirsk (tech hub), Yekaterinburg.

Outreach benchmarks & strategy

B2B outreach into Russia from Western companies is subject to significant sanctions compliance requirements as of 2025. Companies must screen all Russian contacts and transactions against OFAC, EU, and UK sanctions lists before any commercial engagement. For non-sanctioned sectors (food, medicine, humanitarian), Russian-language outreach through established local partners is the most practical approach. The Russian business community that has remained internationally oriented is accessible primarily through non-Western channels and platforms.

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). Russia 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_russia_consumer_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Russia Consumer Email List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/russia-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 Russia Consumer Email List.

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

Downloads last month: 6

Total file size:

28 kB