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MarkGlazer
/
b2b-outbound-benchmarks

Languages:
English
Size:
n<1K
Tags:
cold-email
b2b
email-deliverability
License:
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 10 new columns ({'automatic_replies_included', 'snapshot_utc', 'median_campaign_reply_rate_per_contact_percent', 'campaigns', 'unique_replies_sum', 'cohort', 'contacted_leads_sum', 'emails_sent', 'pooled_reply_rate_per_contact_percent', 'source_url'}) and 9 missing columns ({'share_pct', 'resolved_domains', 'scope', 'population_domains', 'unit', 'observation_date', 'category', 'dataset_id', 'domains'}).

This happened while the csv dataset builder was generating data using

hf://datasets/MarkGlazer/b2b-outbound-benchmarks/cold-email-benchmark-summary-20260812.csv (at revision 4b4a56219ade754c0bd4a22056fbcb7a55516729), ['hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/b2b-email-provider-share-20260719.csv', 'hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/cold-email-benchmark-summary-20260812.csv', 'hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/cold-email-outcomes-by-recipient-email-provider-2026.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              cohort: string
              campaigns: int64
              emails_sent: int64
              contacted_leads_sum: int64
              unique_replies_sum: int64
              pooled_reply_rate_per_contact_percent: double
              automatic_replies_included: bool
              snapshot_utc: string
              source_url: string
              median_campaign_reply_rate_per_contact_percent: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1650
              to
              {'dataset_id': Value('string'), 'observation_date': Value('string'), 'population_domains': Value('int64'), 'resolved_domains': Value('int64'), 'category': Value('string'), 'domains': Value('int64'), 'share_pct': Value('float64'), 'unit': Value('string'), 'scope': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 10 new columns ({'automatic_replies_included', 'snapshot_utc', 'median_campaign_reply_rate_per_contact_percent', 'campaigns', 'unique_replies_sum', 'cohort', 'contacted_leads_sum', 'emails_sent', 'pooled_reply_rate_per_contact_percent', 'source_url'}) and 9 missing columns ({'share_pct', 'resolved_domains', 'scope', 'population_domains', 'unit', 'observation_date', 'category', 'dataset_id', 'domains'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MarkGlazer/b2b-outbound-benchmarks/cold-email-benchmark-summary-20260812.csv (at revision 4b4a56219ade754c0bd4a22056fbcb7a55516729), ['hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/b2b-email-provider-share-20260719.csv', 'hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/cold-email-benchmark-summary-20260812.csv', 'hf://datasets/MarkGlazer/b2b-outbound-benchmarks@4b4a56219ade754c0bd4a22056fbcb7a55516729/cold-email-outcomes-by-recipient-email-provider-2026.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

dataset_id
string
observation_date
string
population_domains
int64
resolved_domains
int64
category
string
domains
int64
share_pct
float64
unit
string
scope
string
provider-summary-20260828
2026-08-28
9,058,780
10,241,042
Microsoft 365
2,492,673
27.516652
distinct email domain
contact-data population; not global market share
provider-summary-20260828
2026-08-28
9,058,780
10,241,042
Google Workspace
2,298,481
25.372964
distinct email domain
contact-data population; not global market share
provider-summary-20260828
2026-08-28
9,058,780
10,241,042
Other receiving environments
4,267,626
47.110384
distinct email domain
contact-data population; not global market share
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Microsoft 365
2,387,891
28.479819
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Google Workspace
2,166,677
25.841451
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Smaller and regional hosts
1,348,835
16.08724
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Self-hosted (own domain)
1,241,027
14.80144
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Proofpoint
307,368
3.665906
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Hostinger
138,851
1.656043
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
IONOS / 1&1
135,724
1.618748
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Zoho
97,967
1.16843
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
GoDaddy
89,040
1.061959
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Mimecast
74,566
0.889331
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Barracuda
72,239
0.861578
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Rackspace
55,032
0.656354
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
OVH
49,157
0.586284
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Yahoo / AOL
45,185
0.538911
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Titan
38,198
0.455579
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
cPanel-style host
27,371
0.326448
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Yandex
16,490
0.196672
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Proton
14,770
0.176158
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Cisco / IronPort
12,431
0.148262
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Trend Micro
11,506
0.137229
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Fastmail
11,287
0.134617
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Sophos
10,674
0.127306
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Apple iCloud
10,000
0.119268
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Amazon SES / WorkMail
7,268
0.086684
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Mail.ru
6,656
0.079385
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Symantec / Broadcom
3,081
0.036746
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Hushmail
2,093
0.024963
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Bluehost / Newfold
1,679
0.020025
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Forcepoint
1,428
0.017031
distinct email domain
contact-data population; ordered historical classifier
provider-detail-20260719
2026-07-19
8,384,502
9,847,723
Fortinet
11
0.000131
distinct email domain
contact-data population; ordered historical classifier
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B2B outbound benchmarks

This dataset is maintained by ReplyLead.

These are aggregate tables. They are not a row-level export of domains or campaigns.

The mail-provider file has two dated observations. On 2026-08-28 the summary rows cover 9,058,780 population domains and 10,241,042 resolved domains. On 2026-07-19 the detail rows cover 8,384,502 population domains and 9,847,723 resolved domains. Shares are of that contact-data population, not a global market-share claim.

The provider-outcome file's contacted column sums to 327,273 leads. The benchmark summary file records 115 sending campaigns, 429,763 emails, 242,669 contacted leads and 6,249 unique replies. The all-campaign pooled reply rate in that file is 2.575113 percent per contacted lead. The median campaign reply rate on the 81 campaigns with at least 500 contacted leads is 2.123625 percent. Automatic replies are included. Method and limits are on the source pages.

License

CC BY 4.0.

Canonical copies

Files

File What it is Source page
b2b-email-provider-share-20260719.csv Receiving mail-provider shares for the domain census https://replylead.com/b2b-email-provider-market-share.html
cold-email-outcomes-by-recipient-email-provider-2026.csv Reply outcomes by recipient mail provider https://replylead.com/cold-email-reply-rates-by-email-provider.html
cold-email-benchmark-summary-20260812.csv Aggregate reply-rate benchmark https://replylead.com/cold-email-benchmarks.html

Method, denominators and limits are on those pages. Cite the Zenodo DOI with any reuse.
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