emailmarketingdataset commited on
Commit
4be125d
·
verified ·
1 Parent(s): ab733cc

Upgrade to market-intelligence dataset (real aggregate data, CC BY 4.0)

Browse files
.gitattributes CHANGED
@@ -1,60 +1 @@
1
- *.7z filter=lfs diff=lfs merge=lfs -text
2
- *.arrow filter=lfs diff=lfs merge=lfs -text
3
- *.avro filter=lfs diff=lfs merge=lfs -text
4
- *.bin filter=lfs diff=lfs merge=lfs -text
5
- *.bz2 filter=lfs diff=lfs merge=lfs -text
6
- *.ckpt filter=lfs diff=lfs merge=lfs -text
7
- *.ftz filter=lfs diff=lfs merge=lfs -text
8
- *.gz filter=lfs diff=lfs merge=lfs -text
9
- *.h5 filter=lfs diff=lfs merge=lfs -text
10
- *.joblib filter=lfs diff=lfs merge=lfs -text
11
- *.lfs.* filter=lfs diff=lfs merge=lfs -text
12
- *.lz4 filter=lfs diff=lfs merge=lfs -text
13
- *.mds filter=lfs diff=lfs merge=lfs -text
14
- *.mlmodel filter=lfs diff=lfs merge=lfs -text
15
- *.model filter=lfs diff=lfs merge=lfs -text
16
- *.msgpack filter=lfs diff=lfs merge=lfs -text
17
- *.npy filter=lfs diff=lfs merge=lfs -text
18
- *.npz filter=lfs diff=lfs merge=lfs -text
19
- *.onnx filter=lfs diff=lfs merge=lfs -text
20
- *.ot filter=lfs diff=lfs merge=lfs -text
21
- *.parquet filter=lfs diff=lfs merge=lfs -text
22
- *.pb filter=lfs diff=lfs merge=lfs -text
23
- *.pickle filter=lfs diff=lfs merge=lfs -text
24
- *.pkl filter=lfs diff=lfs merge=lfs -text
25
- *.pt filter=lfs diff=lfs merge=lfs -text
26
- *.pth filter=lfs diff=lfs merge=lfs -text
27
- *.rar filter=lfs diff=lfs merge=lfs -text
28
- *.safetensors filter=lfs diff=lfs merge=lfs -text
29
- saved_model/**/* filter=lfs diff=lfs merge=lfs -text
30
- *.tar.* filter=lfs diff=lfs merge=lfs -text
31
- *.tar filter=lfs diff=lfs merge=lfs -text
32
- *.tflite filter=lfs diff=lfs merge=lfs -text
33
- *.tgz filter=lfs diff=lfs merge=lfs -text
34
- *.wasm filter=lfs diff=lfs merge=lfs -text
35
- *.xz filter=lfs diff=lfs merge=lfs -text
36
- *.zip filter=lfs diff=lfs merge=lfs -text
37
- *.zst filter=lfs diff=lfs merge=lfs -text
38
- *tfevents* filter=lfs diff=lfs merge=lfs -text
39
- # Audio files - uncompressed
40
- *.pcm filter=lfs diff=lfs merge=lfs -text
41
- *.sam filter=lfs diff=lfs merge=lfs -text
42
- *.raw filter=lfs diff=lfs merge=lfs -text
43
- # Audio files - compressed
44
- *.aac filter=lfs diff=lfs merge=lfs -text
45
- *.flac filter=lfs diff=lfs merge=lfs -text
46
- *.mp3 filter=lfs diff=lfs merge=lfs -text
47
- *.ogg filter=lfs diff=lfs merge=lfs -text
48
- *.wav filter=lfs diff=lfs merge=lfs -text
49
- # Image files - uncompressed
50
- *.bmp filter=lfs diff=lfs merge=lfs -text
51
- *.gif filter=lfs diff=lfs merge=lfs -text
52
- *.png filter=lfs diff=lfs merge=lfs -text
53
- *.tiff filter=lfs diff=lfs merge=lfs -text
54
- # Image files - compressed
55
- *.jpg filter=lfs diff=lfs merge=lfs -text
56
- *.jpeg filter=lfs diff=lfs merge=lfs -text
57
- *.webp filter=lfs diff=lfs merge=lfs -text
58
- # Video files - compressed
59
- *.mp4 filter=lfs diff=lfs merge=lfs -text
60
- *.webm filter=lfs diff=lfs merge=lfs -text
 
1
+ *.csv filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md CHANGED
@@ -1,95 +1,83 @@
1
- ---
2
- language:
3
- - en
4
- license: cc0-1.0
5
- task_categories:
6
- - tabular-classification
7
- tags:
8
- - synthetic-data
9
- - crm
10
- - marketing
11
- - b2b
12
- size_categories:
13
- - 100<n<1K
14
- ---
15
-
16
-
17
- # Business Contact Dataset Structure Arab Forex Traders Email List
18
-
19
- ## Overview
20
-
21
-
22
-
23
- Synthetic B2B contact datasets like this are commonly used for CRM testing,
24
- marketing analytics workflows, and machine learning experiments that require
25
- realistic business contact database structures.
26
-
27
-
28
- This dataset provides a synthetic example of how business contact databases are structured for CRM systems and marketing analytics platforms.
29
-
30
- ##
31
- First Name
32
- Last Name
33
- Company
34
- Job Title
35
- Email
36
- Country
37
-
38
- ## Dataset Size
39
-
40
- Train rows: ~124
41
- Test rows: ~31
42
-
43
- ## Applications
44
-
45
- • marketing analytics experiments
46
- CRM database testing
47
- • machine learning pipelines
48
-
49
- ## Synthetic Data
50
-
51
- All records were generated synthetically.
52
-
53
- ##
54
- CRM dataset
55
- marketing analytics dataset
56
- synthetic business data
57
-
58
- ##
59
- Tennessee Business Email List
60
- Japan Consumer Email Database
61
- Web Comics Readers Email List
62
-
63
- ## Dataset Source
64
-
65
- For a professional dataset covering this audience see:
66
-
67
- https://leadsblue.com/leads/arab-forex-leads-arab-forex-traders-email-leads/
68
-
69
- ## License
70
-
71
- CC0
72
-
73
- Dataset Columns
74
-
75
- • Full Name
76
- • Company
77
- Department
78
- • Job Title
79
- Industry
80
- • Email
81
- Country
82
-
83
- Keywords
84
-
85
- • B2B contact dataset
86
- • business contact database
87
- • CRM dataset
88
- • marketing analytics dataset
89
- • synthetic business data
90
-
91
- Related Datasets
92
-
93
- • Latin America Consumer Email List
94
- • Sri Lanka Business Email List
95
- • Arkansas Business Email Database
 
1
+ ---
2
+ license: cc-by-4.0
3
+ language:
4
+ - en
5
+ tags:
6
+ - market-intelligence
7
+ - b2b
8
+ - lead-generation
9
+ - email-marketing
10
+ - business-data
11
+ - business-email-list
12
+ size_categories:
13
+ - n<1K
14
+ task_categories:
15
+ - tabular-classification
16
+ - tabular-regression
17
+ pretty_name: Saudi Arabia Business Email List Market Intelligence Dataset
18
+ ---
19
+ # Saudi Arabia Business Email List — Market Intelligence Dataset
20
+
21
+ > **100,000 verified Saudi Arabia contacts are available from [LeadsBlue →](https://leadsblue.com/leads/saudi-arabia-business-email-leads-database/).** This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the Saudi Arabia segment.
22
+
23
+ > **At a glance:** This dataset provides aggregated market-intelligence on the Saudi Arabia Business Email List segment — real business-population statistics, cold-email performance benchmarks, and compliance context compiled by LeadsBlue Research.
24
+
25
+ ## Key figures
26
+
27
+ | Metric | Value |
28
+ |---|---|
29
+ | Verified contacts in segment | **100,000** |
30
+ | Typical email open rate | **15-23%** |
31
+ | Typical email reply rate | **2-5%** |
32
+ | Best send days | Sunday, Monday, Tuesday |
33
+ | Best send time (local) | 09:00-11:00 AST |
34
+ | Geography | Saudi Arabia |
35
+ | Industry verticals benchmarked | 14 |
36
+ | License | CC BY 4.0 |
37
+
38
+ > 📥 **Get the full Saudi Arabia Business Email List** — individual verified business records, ready to use: **[Download from LeadsBlue →](https://leadsblue.com/leads/saudi-arabia-business-email-leads-database/)**
39
+
40
+ ## Market overview
41
+
42
+ Saudi Arabia is undergoing the most significant economic transformation in the Middle East under Vision 2030, diversifying from oil dependency toward technology, tourism, entertainment, manufacturing, and professional services. NEOM (the futuristic city project), the Red Sea Project, and Diriyah Gate are multi-trillion-riyal developments creating enormous B2B procurement opportunities across construction, technology, hospitality, and professional services. Riyadh is the commercial capital and the hub of government and financial sector activity; Jeddah is the commercial and trade gateway; Dammam/Khobar anchors the Eastern Province's petrochemical and energy sector.
43
+
44
+ **Primary business hubs:** Riyadh, Jeddah, Dammam/Khobar/Dhahran, Mecca, Medina.
45
+
46
+ ## Outreach benchmarks & strategy
47
+
48
+ Saudi B2B outreach requires cultural awareness and patience. Relationships and trust (wasta — social capital) are the primary currency of Saudi B2B procurement for established companies. Cold email is less effective than warm introductions via trade associations (Monsha'at), industry events (LEAP tech conference, Vision 2030 investment forums), or government-linked introductions. However, the Vision 2030 expansion has brought a new generation of Western-educated Saudi executives who respond better to direct, professional cold email — particularly in technology, fintech, and professional services roles.
49
+
50
+ ## Files in this dataset
51
+
52
+ | File | Contents |
53
+ |---|---|
54
+ | `data/market_overview.csv` | Segment-level metrics: contact volume, benchmark rates, send timing |
55
+ | `data/industry_benchmarks.csv` | Open/reply benchmarks across 14 industry verticals |
56
+ | `data/compliance.csv` | Regulatory framework, business culture, decision-maker profile, hubs |
57
+
58
+ ## Methodology
59
+
60
+ 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.
61
+
62
+ ## How to cite
63
+
64
+ > LeadsBlue Research. (2026). *Saudi Arabia Business 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
65
+
66
+ ```bibtex
67
+ @dataset{leadsblue_arab_forex_traders_dataset_2026,
68
+ author = {Johnson, Luther},
69
+ title = {Saudi Arabia Business Email List -- Market Intelligence Dataset},
70
+ year = {2026},
71
+ publisher = {LeadsBlue Research},
72
+ doi = {10.5281/zenodo.20136256},
73
+ url = {https://leadsblue.com/leads/saudi-arabia-business-email-leads-database/}
74
+ }
75
+ ```
76
+
77
+ ## Source & full dataset
78
+
79
+ This aggregate dataset is published by **[LeadsBlue Research](https://leadsblue.com)**. The full verified business email list — with individual business contact records — is available at **[Saudi Arabia Business Email List](https://leadsblue.com/leads/saudi-arabia-business-email-leads-database/)**.
80
+
81
+ Related resources: [Benchmark report (Zenodo)](https://zenodo.org/records/20136256) · [Research hub](https://leadsblue-datasets.github.io/research/) · [Interactive tools](https://huggingface.co/emailmarketingdataset)
82
+
83
+ <script type="application/ld+json">{"@context": "https://schema.org", "@type": "Dataset", "name": "Saudi Arabia Business Email List \u2014 Market Intelligence Dataset", "description": "This dataset provides aggregated market-intelligence on the Saudi Arabia Business Email List segment \u2014 real business-population statistics, cold-email performance benchmarks, and compliance context compiled by LeadsBlue Research.", "license": "https://creativecommons.org/licenses/by/4.0/", "creator": {"@type": "Organization", "name": "LeadsBlue Research", "url": "https://leadsblue.com"}, "isBasedOn": "https://doi.org/10.5281/zenodo.20136256", "url": "https://leadsblue.com/leads/saudi-arabia-business-email-leads-database/", "sameAs": ["https://leadsblue.com", "https://b2bdataindex.com", "https://zenodo.org/records/20136256", "https://leadsblue-datasets.github.io/research/"]}</script>
 
 
 
 
 
 
 
 
 
 
 
 
data/compliance.csv ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ field,detail
2
+ compliance_framework,"Saudi Arabia's Personal Data Protection Law (PDPD 2022) became effective in September 2023. Consent is required for personal data processing including commercial email. The SDAIA (Saudi Data and AI Authority) is the enforcement authority. Implementation is ongoing and enforcement capacity is still being built — practical compliance risk is currently low, but documentation of data sources and proce"
3
+ business_culture,"Saudi business culture is relationship-first, formal, and deeply influenced by Islamic values. Business meetings typically begin with personal conversation and tea; moving directly to business is considered impolite. Friday is the holy day; the Saudi work week is Sunday to Thursday. During Ramadan, business significantly slows but also creates important relationship-building opportunities through "
4
+ primary_business_hubs,Riyadh; Jeddah; Dammam/Khobar/Dhahran; Mecca; Medina; NEOM (under development)
5
+ decision_maker_profile,"Saudi B2B purchasing is highly centralised — the CEO or General Manager (and in larger companies, a designated Procurement Director reporting to the CEO) controls vendor selection. Vision 2030 has increased private sector activity significantly. Titles: CEO, General Manager, VP Operations, Head of Procurement. Arabic-language correspondence shows cultural respect; English is acceptable in the fina"
data/industry_benchmarks.csv ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ industry,open_rate,reply_rate,best_send_time
2
+ Technology & Software,22-31%,3.5-6.5%,"Tuesday-Thursday, 8-10am local"
3
+ Healthcare & Medical,18-26%,2.0-4.5%,"Tuesday-Wednesday, 6:30-8am (before rounds)"
4
+ Manufacturing & Engineering,16-23%,1.8-3.5%,"Tuesday-Thursday, 7-9am (before floor opens)"
5
+ Finance & Banking,15-22%,1.5-3.2%,"Tuesday-Wednesday, 7:30-9am"
6
+ Professional Services,20-28%,2.5-5.0%,"Tuesday-Thursday, 8-10am"
7
+ Real Estate,18-26%,2-6%,
8
+ Construction & Real Estate,17-24%,2.0-3.8%,"Monday, Wednesday, 6-8am (before site visits)"
9
+ Legal,19-27%,2.2-4.5%,"Tuesday-Thursday, 8-10am"
10
+ E-commerce,24-33%,3.5-6.5%,"Tuesday-Thursday, 9-11am"
11
+ Oil & Energy,14-20%,2-4%,
12
+ Education & Training,16-24%,2-5%,
13
+ Retail & Commerce,17-24%,2-5%,
14
+ Agriculture & Food,14-22%,2-4%,
15
+ Transportation & Logistics,16-22%,2-5%,
data/market_overview.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,value,source
2
+ verified_contacts,"100,000",LeadsBlue verified database
3
+ segment,business email list,LeadsBlue catalog
4
+ geography,Saudi Arabia,LeadsBlue catalog
5
+ email_open_rate_pct,15-23,LeadsBlue benchmark
6
+ email_reply_rate_pct,2-5,LeadsBlue benchmark
7
+ best_send_days,Sunday; Monday; Tuesday,LeadsBlue benchmark
8
+ best_send_time_local,09:00-11:00 AST,LeadsBlue benchmark