Dataset Viewer
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'

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.

Bangladesh Consumer Email List — Market Intelligence Dataset

1,750,000 verified Bangladesh 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 Bangladesh segment.

At a glance: Market-intelligence reference data for the Bangladesh 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 1,750,000
Typical email open rate 17-26%
Typical email reply rate 2.5-5.5%
Best send days Sunday, Monday, Tuesday
Best send time (local) 10:00-12:00 BST
Geography Bangladesh
Industry verticals benchmarked 14
License CC BY 4.0

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

Market overview

Consumer (B2C) segment. Bangladesh is one of the world's fastest-growing economies, driven by a garment and textile sector that is second globally only to China. Dhaka, the capital, is one of the world's most densely populated cities and the hub of Bangladesh's commercial, financial, and emerging technology activity. Chittagong is the port city that handles almost all of Bangladesh's export trade. Bangladesh has produced the world's cheapest garments for decades — companies like H&M, Zara, Primark, and virtually every Western fast fashion brand source from Bangladeshi manufacturers. A growing technology sector and government investment in digital infrastructure are diversifying the economy.

Primary business hubs: Dhaka (Gulshan, Banani business districts), Chittagong, Sylhet, Rajshahi.

Outreach benchmarks & strategy

Bangladeshi B2B cold email in English is standard for the technology and professional sectors. The garment and manufacturing sector operates through established sourcing relationships, trade shows (Dhaka International Textile and Garment Machinery Exhibition), and buying house networks rather than cold outreach. The growing IT sector in Dhaka is internationally oriented and responds to professional direct outreach in English.

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). Bangladesh 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_bangladesh_consumer_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Bangladesh Consumer Email List -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/bangladesh-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 Bangladesh Consumer Email List.

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

Downloads last month
18