Nigerian Retail and eCommerce
Collection
A collection of datasets across the Nigerian Retail and eCommerce Sector
•
36 items
•
Updated
•
2
Dataset Viewer
customer_id
stringlengths 10
10
| segment
stringclasses 5
values | avg_order_value_ngn
float64 1k
5M
| purchase_frequency
stringclasses 4
values | total_orders
int64 1
100
| total_spend_ngn
float64 1k
5M
| last_purchase_days_ago
int64 1
365
| churn_risk
stringclasses 3
values | lifetime_value_ngn
float64 10k
5M
| preferred_category
stringclasses 10
values | seasonal_buyer
bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|
CUST822847
|
mid_tier
| 152,200.92
|
medium
| 77
| 115,658.71
| 141
|
low
| 1,731,792.76
|
Fashion
| false
|
CUST928064
|
mid_tier
| 136,582.83
|
medium
| 69
| 180,661.7
| 143
|
medium
| 261,129.27
|
Health
| true
|
CUST221451
|
high_value
| 388,564.36
|
medium
| 51
| 276,543.46
| 51
|
low
| 2,537,201.91
|
Home & Living
| false
|
CUST986193
|
premium
| 4,344,955.62
|
high
| 69
| 3,746,437.97
| 167
|
medium
| 4,180,414.32
|
Books & Media
| true
|
CUST422305
|
high_value
| 385,518.17
|
medium
| 21
| 393,956.62
| 35
|
low
| 4,656,929.32
|
Health
| true
|
CUST627344
|
high_value
| 272,205.58
|
medium
| 86
| 249,846.03
| 335
|
low
| 1,322,363.64
|
Baby & Kids
| false
|
CUST482588
|
occasional
| 2,916.09
|
very_low
| 43
| 3,016.27
| 83
|
low
| 915,726.57
|
Fashion
| false
|
CUST281873
|
mid_tier
| 74,050.96
|
medium
| 62
| 158,389.23
| 313
|
medium
| 174,850.14
|
Beauty & Personal Care
| true
|
CUST627505
|
high_value
| 360,260.59
|
medium
| 68
| 419,558.49
| 28
|
low
| 3,040,168.57
|
Electronics
| true
|
CUST105582
|
mid_tier
| 183,847.11
|
medium
| 66
| 70,093.06
| 97
|
high
| 2,709,309.42
|
Health
| false
|
CUST248013
|
high_value
| 280,227.96
|
medium
| 53
| 424,774.51
| 111
|
low
| 3,832,864.42
|
Fashion
| false
|
CUST966417
|
mid_tier
| 89,015.15
|
medium
| 55
| 142,536.25
| 164
|
low
| 1,036,107.8
|
Beauty & Personal Care
| false
|
CUST402648
|
premium
| 1,541,618.91
|
high
| 91
| 3,327,848.1
| 69
|
high
| 2,753,539.18
|
Home & Living
| true
|
CUST158550
|
mid_tier
| 154,999.45
|
medium
| 13
| 94,833.47
| 100
|
low
| 2,931,945.57
|
Baby & Kids
| false
|
CUST373942
|
high_value
| 366,449.06
|
medium
| 85
| 227,546.02
| 269
|
low
| 2,856,167.49
|
Beauty & Personal Care
| false
|
CUST466138
|
mid_tier
| 151,951.75
|
medium
| 2
| 155,341.83
| 300
|
low
| 2,120,786.25
|
Home & Living
| false
|
CUST727400
|
high_value
| 487,156.75
|
medium
| 83
| 374,246.48
| 150
|
medium
| 308,839.94
|
Groceries
| true
|
CUST982598
|
budget
| 44,465.03
|
low
| 24
| 46,754.94
| 331
|
low
| 4,964,325.33
|
Fashion
| false
|
CUST366295
|
high_value
| 325,465.2
|
medium
| 6
| 295,813.44
| 75
|
medium
| 675,439.01
|
Groceries
| true
|
CUST596972
|
budget
| 35,854.86
|
low
| 81
| 14,834.21
| 201
|
medium
| 3,909,041.55
|
Home & Living
| true
|
CUST704429
|
mid_tier
| 104,935.66
|
medium
| 19
| 191,610.77
| 9
|
high
| 2,543,964.93
|
Beauty & Personal Care
| false
|
CUST647131
|
mid_tier
| 77,104
|
medium
| 57
| 153,063.7
| 286
|
high
| 3,898,992.58
|
Beauty & Personal Care
| false
|
CUST675434
|
mid_tier
| 159,704.87
|
medium
| 62
| 134,625.54
| 195
|
low
| 3,136,457.85
|
Beauty & Personal Care
| false
|
CUST889399
|
mid_tier
| 78,636.01
|
medium
| 81
| 90,741.93
| 60
|
low
| 1,905,471.19
|
Sports & Outdoors
| false
|
CUST554834
|
mid_tier
| 141,433.69
|
medium
| 71
| 170,464.32
| 12
|
low
| 1,156,521.73
|
Automotive
| false
|
CUST337540
|
mid_tier
| 74,771.77
|
medium
| 4
| 71,353.25
| 39
|
low
| 3,583,659.52
|
Automotive
| false
|
CUST234383
|
mid_tier
| 182,184.86
|
medium
| 4
| 183,368.72
| 265
|
low
| 1,693,098.25
|
Automotive
| true
|
CUST328611
|
mid_tier
| 98,910.67
|
medium
| 91
| 71,226.3
| 250
|
medium
| 3,464,277.44
|
Sports & Outdoors
| false
|
CUST392154
|
premium
| 3,996,888.9
|
high
| 45
| 1,388,854.54
| 236
|
medium
| 2,618,635.36
|
Sports & Outdoors
| false
|
CUST901740
|
mid_tier
| 71,193.48
|
medium
| 30
| 54,407.26
| 292
|
low
| 729,455.21
|
Beauty & Personal Care
| true
|
CUST859442
|
mid_tier
| 82,686.37
|
medium
| 24
| 75,661.33
| 300
|
low
| 1,195,864.75
|
Beauty & Personal Care
| false
|
CUST682758
|
mid_tier
| 67,018.67
|
medium
| 10
| 198,535.02
| 97
|
low
| 1,029,036.62
|
Groceries
| true
|
CUST129576
|
premium
| 2,094,780.36
|
high
| 38
| 4,168,917.34
| 16
|
medium
| 2,262,442.87
|
Health
| false
|
CUST278401
|
budget
| 23,993.88
|
low
| 52
| 34,939.95
| 163
|
medium
| 3,308,209.73
|
Health
| false
|
CUST596032
|
premium
| 686,244.9
|
high
| 36
| 4,684,417.03
| 52
|
medium
| 4,551,866.26
|
Baby & Kids
| true
|
CUST489180
|
high_value
| 414,185.29
|
medium
| 54
| 288,487.37
| 34
|
low
| 1,141,412.94
|
Home & Living
| false
|
CUST764104
|
high_value
| 290,066.14
|
medium
| 95
| 238,282.3
| 175
|
high
| 1,225,631.93
|
Groceries
| true
|
CUST386069
|
high_value
| 418,228.15
|
medium
| 93
| 262,975.95
| 231
|
low
| 2,611,880.98
|
Electronics
| false
|
CUST267927
|
budget
| 22,554.62
|
low
| 19
| 48,720.59
| 198
|
medium
| 4,544,851.58
|
Automotive
| false
|
CUST360672
|
premium
| 2,530,351.34
|
high
| 72
| 611,699.1
| 159
|
low
| 261,646.64
|
Beauty & Personal Care
| true
|
CUST395200
|
occasional
| 8,074
|
very_low
| 59
| 2,439.95
| 326
|
high
| 1,698,611.47
|
Beauty & Personal Care
| true
|
CUST451440
|
mid_tier
| 50,308.93
|
medium
| 2
| 113,714.81
| 326
|
low
| 2,690,591.77
|
Fashion
| true
|
CUST575423
|
occasional
| 2,312.12
|
very_low
| 53
| 9,729.43
| 292
|
low
| 4,313,957.53
|
Electronics
| true
|
CUST592031
|
mid_tier
| 139,207.54
|
medium
| 59
| 160,374.9
| 66
|
medium
| 249,452.18
|
Automotive
| false
|
CUST993957
|
mid_tier
| 125,682.98
|
medium
| 8
| 169,144.03
| 153
|
high
| 4,858,119.01
|
Sports & Outdoors
| true
|
CUST467843
|
mid_tier
| 127,048.03
|
medium
| 81
| 70,591.18
| 225
|
medium
| 1,195,357.69
|
Health
| false
|
CUST904511
|
mid_tier
| 106,090.05
|
medium
| 63
| 57,226.67
| 96
|
medium
| 2,791,330.26
|
Health
| false
|
CUST761093
|
mid_tier
| 189,401.21
|
medium
| 75
| 141,358.3
| 255
|
medium
| 3,547,815.53
|
Beauty & Personal Care
| false
|
CUST943421
|
mid_tier
| 119,080.07
|
medium
| 29
| 147,810.42
| 30
|
low
| 1,279,784.32
|
Baby & Kids
| false
|
CUST463903
|
budget
| 21,615.66
|
low
| 31
| 22,041.02
| 86
|
low
| 591,035.19
|
Automotive
| true
|
CUST698135
|
budget
| 37,981.15
|
low
| 56
| 38,504.95
| 252
|
low
| 71,208.42
|
Fashion
| true
|
CUST230935
|
high_value
| 470,950.65
|
medium
| 84
| 487,765.35
| 56
|
low
| 4,457,837
|
Groceries
| false
|
CUST231176
|
high_value
| 304,394.24
|
medium
| 35
| 213,648.26
| 199
|
medium
| 2,400,714.84
|
Sports & Outdoors
| false
|
CUST823954
|
mid_tier
| 64,619.98
|
medium
| 48
| 191,229.42
| 357
|
low
| 2,556,599.5
|
Groceries
| false
|
CUST967494
|
mid_tier
| 92,309.74
|
medium
| 43
| 168,801.81
| 4
|
high
| 3,500,499.71
|
Health
| true
|
CUST632672
|
mid_tier
| 111,566.12
|
medium
| 8
| 66,059.37
| 234
|
low
| 3,995,560.3
|
Books & Media
| true
|
CUST149214
|
budget
| 31,118.09
|
low
| 67
| 23,788.22
| 154
|
low
| 940,194.23
|
Home & Living
| true
|
CUST350153
|
mid_tier
| 160,798.18
|
medium
| 60
| 70,182
| 20
|
high
| 1,249,516.64
|
Beauty & Personal Care
| false
|
CUST163200
|
high_value
| 281,750.73
|
medium
| 70
| 319,390.79
| 293
|
low
| 4,075,623.05
|
Baby & Kids
| false
|
CUST714922
|
occasional
| 7,619.47
|
very_low
| 27
| 7,536.17
| 106
|
low
| 3,087,370.57
|
Sports & Outdoors
| false
|
CUST394885
|
mid_tier
| 147,919.48
|
medium
| 73
| 68,384.31
| 86
|
medium
| 831,141.61
|
Sports & Outdoors
| false
|
CUST739234
|
mid_tier
| 124,444.16
|
medium
| 69
| 71,873.82
| 285
|
low
| 762,919.41
|
Groceries
| false
|
CUST300961
|
budget
| 48,016.78
|
low
| 48
| 32,183.6
| 223
|
low
| 711,398.42
|
Electronics
| false
|
CUST870381
|
high_value
| 301,732.95
|
medium
| 37
| 450,815.03
| 324
|
medium
| 3,339,933.08
|
Beauty & Personal Care
| true
|
CUST442593
|
high_value
| 251,182.63
|
medium
| 73
| 497,693.22
| 121
|
low
| 1,653,231.3
|
Health
| false
|
CUST871944
|
high_value
| 216,467
|
medium
| 42
| 400,632.97
| 279
|
low
| 4,035,702.82
|
Automotive
| true
|
CUST573350
|
mid_tier
| 108,742.52
|
medium
| 8
| 120,917.42
| 170
|
low
| 3,884,757.03
|
Books & Media
| false
|
CUST599640
|
occasional
| 8,966.79
|
very_low
| 87
| 4,464.43
| 65
|
low
| 4,113,805.24
|
Home & Living
| true
|
CUST293784
|
budget
| 35,355.43
|
low
| 49
| 23,207.3
| 207
|
low
| 1,674,217.73
|
Beauty & Personal Care
| false
|
CUST215893
|
high_value
| 393,794.29
|
medium
| 66
| 496,550.76
| 19
|
medium
| 3,967,354.44
|
Baby & Kids
| false
|
CUST429272
|
budget
| 47,201.59
|
low
| 25
| 34,460.45
| 217
|
low
| 3,542,003.28
|
Beauty & Personal Care
| true
|
CUST664930
|
premium
| 3,815,649.89
|
high
| 85
| 1,970,849.59
| 5
|
low
| 364,544.02
|
Groceries
| true
|
CUST194099
|
mid_tier
| 120,336.38
|
medium
| 60
| 199,725.17
| 249
|
high
| 1,313,157.87
|
Automotive
| false
|
CUST138533
|
budget
| 30,009.76
|
low
| 99
| 30,661.56
| 153
|
medium
| 4,709,905.85
|
Electronics
| false
|
CUST155550
|
high_value
| 245,850.72
|
medium
| 25
| 427,624.83
| 197
|
medium
| 2,538,229.71
|
Baby & Kids
| false
|
CUST841564
|
mid_tier
| 118,113.16
|
medium
| 7
| 186,649.76
| 338
|
low
| 287,207.01
|
Baby & Kids
| false
|
CUST608278
|
budget
| 43,052.55
|
low
| 46
| 11,959.04
| 12
|
low
| 63,342.7
|
Baby & Kids
| false
|
CUST600200
|
high_value
| 234,799.05
|
medium
| 43
| 279,567.15
| 275
|
low
| 3,678,465.66
|
Automotive
| true
|
CUST681159
|
budget
| 12,276.26
|
low
| 94
| 45,953.27
| 39
|
low
| 3,055,564.67
|
Beauty & Personal Care
| false
|
CUST882538
|
high_value
| 399,695.19
|
medium
| 48
| 322,855.25
| 114
|
low
| 1,328,404.62
|
Baby & Kids
| false
|
CUST234926
|
budget
| 16,999.53
|
low
| 61
| 36,969.98
| 27
|
low
| 1,242,876.31
|
Home & Living
| false
|
CUST882833
|
mid_tier
| 124,359.61
|
medium
| 93
| 148,197.9
| 301
|
low
| 3,319,698.31
|
Electronics
| false
|
CUST529202
|
premium
| 1,433,387.91
|
high
| 4
| 3,115,751.4
| 39
|
low
| 548,891.01
|
Fashion
| false
|
CUST166890
|
budget
| 41,970.4
|
low
| 99
| 24,748.22
| 137
|
medium
| 2,145,950.26
|
Groceries
| false
|
CUST153014
|
mid_tier
| 127,530.58
|
medium
| 14
| 148,071.91
| 263
|
high
| 1,744,350.35
|
Baby & Kids
| true
|
CUST811075
|
high_value
| 257,390.08
|
medium
| 86
| 220,530.44
| 364
|
medium
| 425,828.04
|
Books & Media
| true
|
CUST740334
|
mid_tier
| 188,366.27
|
medium
| 86
| 104,871.52
| 227
|
medium
| 2,573,081.78
|
Sports & Outdoors
| true
|
CUST619629
|
budget
| 44,480.52
|
low
| 48
| 17,464.29
| 157
|
low
| 2,366,946.89
|
Fashion
| false
|
CUST141085
|
mid_tier
| 119,371.06
|
medium
| 32
| 69,598.15
| 267
|
low
| 3,783,587.78
|
Baby & Kids
| true
|
CUST481288
|
mid_tier
| 85,025.2
|
medium
| 60
| 191,015
| 108
|
low
| 3,092,687.92
|
Fashion
| false
|
CUST458473
|
mid_tier
| 157,219.61
|
medium
| 32
| 63,140.04
| 189
|
low
| 533,648.35
|
Electronics
| true
|
CUST727977
|
mid_tier
| 101,476.6
|
medium
| 95
| 122,310.67
| 58
|
low
| 4,489,031.07
|
Groceries
| false
|
CUST746611
|
high_value
| 233,806.48
|
medium
| 10
| 423,606.73
| 111
|
low
| 1,516,594.4
|
Health
| true
|
CUST714824
|
occasional
| 1,429.5
|
very_low
| 72
| 5,469.55
| 165
|
low
| 4,427,411.97
|
Automotive
| false
|
CUST904003
|
premium
| 3,470,923.65
|
high
| 4
| 3,510,627.06
| 68
|
low
| 4,355,713.41
|
Home & Living
| true
|
CUST891760
|
budget
| 25,277.17
|
low
| 7
| 14,252.66
| 63
|
medium
| 1,727,843.64
|
Home & Living
| true
|
CUST319008
|
budget
| 35,479.45
|
low
| 19
| 12,455.13
| 77
|
low
| 419,826.22
|
Beauty & Personal Care
| true
|
CUST164775
|
budget
| 13,209.56
|
low
| 96
| 13,765.08
| 307
|
low
| 4,801,083.25
|
Beauty & Personal Care
| false
|
CUST704192
|
budget
| 41,291.16
|
low
| 42
| 20,383.49
| 219
|
low
| 2,827,216.92
|
Automotive
| true
|
CUST950428
|
budget
| 29,230.34
|
low
| 36
| 26,715.68
| 92
|
low
| 2,574,469.41
|
Groceries
| false
|
End of preview. Expand
in Data Studio
Customer Segmentation Data
Dataset Description
Comprehensive customer segmentation data for Nigerian retail and e-commerce analysis
Dataset Information
- Category: Customer and Shopper Data
- Industry: Retail & E-Commerce
- Country: Nigeria
- Format: CSV, Parquet
- Rows: 150,000
- Columns: 11
- Date Generated: 2025-10-06
- Location:
data/customer_segmentation_data/ - License: GPL
Schema
| Column | Type | Sample Values |
|---|---|---|
customer_id |
String | CUST822847 |
segment |
String | mid_tier |
avg_order_value_ngn |
Float | 152200.92 |
purchase_frequency |
String | medium |
total_orders |
Integer | 77 |
total_spend_ngn |
Float | 115658.71 |
last_purchase_days_ago |
Integer | 141 |
churn_risk |
String | low |
lifetime_value_ngn |
Float | 1731792.76 |
preferred_category |
String | Fashion |
seasonal_buyer |
Boolean | False |
Sample Data
customer_id segment avg_order_value_ngn purchase_frequency total_orders total_spend_ngn last_purchase_days_ago churn_risk lifetime_value_ngn preferred_category seasonal_buyer
CUST822847 mid_tier 152200.92 medium 77 115658.71 141 low 1731792.76 Fashion False
CUST928064 mid_tier 136582.83 medium 69 180661.70 143 medium 261129.27 Health True
CUST221451 high_value 388564.36 medium 51 276543.46 51 low 2537201.91 Home & Living False
Use Cases
- Data analysis and insights
- Machine learning model training
- Business intelligence
- Research and education
- Predictive analytics
Nigerian Context
This dataset incorporates authentic Nigerian retail and e-commerce characteristics:
E-Commerce Platforms
- Jumia (35% market share) - Leading marketplace
- Konga (25% market share) - Major competitor
- Jiji (20% market share) - Classifieds platform
- PayPorte, Slot, and other platforms
Physical Retail
- Shoprite, Spar, Game - Major supermarket chains
- Slot, Pointek - Electronics retailers
- Mr Price - Fashion retail
- Traditional markets: Balogun Market, Computer Village
Payment Methods
- Cash on Delivery (45%) - Most popular
- Bank Transfer (25%)
- Debit Card (15%)
- USSD (8%)
- Mobile Money (5%)
- Credit Card (2%)
Logistics & Delivery
- GIG Logistics - Nationwide coverage
- Kwik Delivery - Fast urban delivery
- DHL, FedEx - International and express
- Red Star Express - Nationwide courier
- Local dispatch riders
Geographic Coverage
Major Nigerian cities including:
- Lagos - Commercial capital, highest retail density
- Abuja - Federal capital, high e-commerce penetration
- Kano - Northern commercial hub
- Port Harcourt - Oil city, strong purchasing power
- Ibadan - Large urban market
- Plus 10+ other major cities
Products & Categories
- Electronics: Tecno, Infinix, Samsung phones; laptops, TVs
- Fashion: Ankara fabric, Agbada, Kaftan, sneakers
- Groceries: Rice (50kg bags), Garri, Palm Oil, Indomie
- Beauty: Shea butter, Black soap, hair extensions
- Home: Generators, inverters, solar panels
Currency & Pricing
- Currency: Nigerian Naira (NGN, ₦)
- Exchange Rate: ~₦1,500/USD
- Price Ranges: Realistic Nigerian market prices
- Time Zone: West Africa Time (WAT, UTC+1)
File Formats
CSV
data/customer_segmentation_data/nigerian_retail_and_ecommerce_customer_segmentation_data.csv
Parquet (Recommended)
data/customer_segmentation_data/nigerian_retail_and_ecommerce_customer_segmentation_data.parquet
Nigerian Retail and E-Commerce - Loading the Dataset
Hugging Face Datasets
from datasets import load_dataset
# Load dataset
dataset = load_dataset("electricsheepafrica/nigerian_retail_and_ecommerce_customer_segmentation_data")
# Convert to pandas
df = dataset['train'].to_pandas()
print(f"Loaded {len(df):,} rows")
Pandas (Direct)
import pandas as pd
# Load CSV
df = pd.read_csv('data/customer_segmentation_data/nigerian_retail_and_ecommerce_customer_segmentation_data.csv')
# Load Parquet (recommended for large datasets)
df = pd.read_parquet('data/customer_segmentation_data/nigerian_retail_and_ecommerce_customer_segmentation_data.parquet')
PyArrow
import pyarrow.parquet as pq
# Load Parquet
table = pq.read_table('data/customer_segmentation_data/nigerian_retail_and_ecommerce_customer_segmentation_data.parquet')
df = table.to_pandas()
Data Quality
- ✅ Realistic Distributions: Based on Nigerian retail patterns
- ✅ No Missing Critical Fields: Complete core data
- ✅ Proper Data Types: Appropriate types for each column
- ✅ Consistent Naming: Clear, descriptive column names
- ✅ Nigerian Context: Authentic local characteristics
- ✅ Production Scale: Suitable for real-world applications
Ethical Considerations
- This is synthetic data generated for research and development
- No real customer data or personally identifiable information
- Designed to reflect realistic patterns without privacy concerns
- Safe for public use, testing, and education
License
GPL License - General Public License
This dataset is free to use for:
- Research and academic purposes
- Commercial applications
- Educational projects
- Open source development
Citation
@dataset{nigerian_retail_customer_segmentation_data_2025,
title={Customer Segmentation Data},
author={Electric Sheep Africa},
year={2025},
publisher={Hugging Face},
howpublished={\url{https://huggingface.co/datasets/electricsheepafrica/nigerian-retail-customer-segmentation-data}}
}
Related Datasets
This dataset is part of the Nigerian Retail & E-Commerce Datasets collection, which includes 42 datasets covering:
- Customer & Shopper Data
- Sales & Transactions
- Product & Inventory
- Marketing & Engagement
- Operations & Workforce
- Pricing & Revenue
- Customer Support
- Emerging & Advanced Technologies
Browse all datasets: https://huggingface.co/electricsheepafrica
Updates & Maintenance
- Version: 1.0
- Last Updated: 2025-10-06
- Maintenance: Active
- Issues: Report via Hugging Face discussions
Contact
For questions, feedback, or collaboration:
- Hugging Face: electricsheepafrica
- Issues: Open a discussion on the dataset page
- General Inquiries: Via Hugging Face profile
Part of the Nigerian Industry Datasets Initiative
Building comprehensive, authentic datasets for African markets.
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Size of downloaded dataset files:
5.38 MB
Size of the auto-converted Parquet files:
5.38 MB
Number of rows:
150,000