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.

Singapore Consumer Email Database — Market Intelligence Dataset

5,900,000 verified Singapore 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 Singapore segment.

At a glance: A research dataset describing the Singapore Consumer Email Database 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 5,900,000
Typical email open rate 19-28%
Typical email reply rate 3.5-7%
Best send days Tuesday, Wednesday, Thursday
Best send time (local) 09:00-11:00 SGT
Geography Singapore
Industry verticals benchmarked 14
License CC BY 4.0

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

Market overview

Consumer (B2C) segment. Singapore is Southeast Asia's premier business hub — a city-state of 5.9 million with GDP per capita among the top 10 globally, functioning as the regional headquarters for thousands of multinational corporations covering all of ASEAN. The financial district (CBD around Raffles Place and Marina Bay) houses the Asia-Pacific headquarters of every major global bank, investment firm, and professional services network. Singapore's strategic position as the ASEAN gateway has attracted over 7,000 multinational corporations to establish regional HQs here, making it extraordinarily data-dense for its physical size. Technology, fintech, biotech, logistics, and professional services are the dominant B2B sectors.

Primary business hubs: Central Business District (Raffles Place/Marina Bay), One-North (biotech/tech), Jurong (manufacturing/logistics), Changi (logistics/e-commerce).

Outreach benchmarks & strategy

Singapore B2B outreach is highly effective via cold email because multinational executives based here are accustomed to professional outreach and make faster decisions than regional counterparts. English is the business language of Singapore; Mandarin is useful for Chinese-owned businesses. The target profile is often a regional director or VP covering all of Southeast Asia — be explicit that your solution is relevant at regional scale, not just Singapore-specific. Response rates are strong; Singapore's culture of efficiency means fast yes/no decisions once interest is established.

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). Singapore Consumer 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_singapore_consumer_email_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Singapore Consumer Email Database -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/singapore-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 Singapore Consumer Email Database.

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

Downloads last month
17