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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Peru Business Email Database — Market Intelligence Dataset

190,000 verified Peru 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 Peru segment.

At a glance: Market-intelligence reference data for the Peru Business 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	190,000
Typical email open rate	17-25%
Typical email reply rate	3-6%
Best send days	Tuesday, Wednesday, Thursday
Best send time (local)	09:00-11:00 PET
Geography	Peru
Industry verticals benchmarked	14
License	CC BY 4.0

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

Market overview

Peru is Latin America's 6th largest economy with significant natural resources (copper, gold, silver, zinc — Peru is a top-5 global producer of each) and one of the region's most consistent economic growth records. Lima, the capital, concentrates over 30% of Peruvian GDP in a single coastal city. Peru's business ecosystem is divided between the large natural resources companies (Southern Copper, Glencore Peru, Hochschild Mining) and a growing services and retail sector. Peru has produced notable fintech companies (Culqi, Kushki) and is an emerging BPO destination, particularly for Spanish-language services.

Primary business hubs: Lima (Miraflores, San Isidro financial district), Arequipa, Trujillo, Cusco.

Outreach benchmarks & strategy

Peruvian B2B cold email in Spanish is essential for domestic companies. Lima's business community is hierarchical and relationship-oriented; a warm, personalised approach outperforms formal corporate language. The mining sector has specific procurement processes — direct email to individual managers is less effective than engagement through PERUMIN (Latin America's largest mining conference, held in Arequipa) or industry associations.

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

Figures are aggregated and anonymized from LeadsBlue's verified contact operations and public business-registry baselines. No personal records are included in this dataset — only segment-level statistics.

How to cite

LeadsBlue Research. (2026). Peru Business 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_peru_business_email_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Peru Business Email Database -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/peru-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 Peru Business Email Database.

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

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