Srikanth-Karthi/ecommerce-predictor-data

E-commerce Customer Spending Dataset

A dataset containing customer behavior metrics from an e-commerce platform, used to predict yearly spending.

Dataset Description

This dataset contains information about customers of an e-commerce company that sells clothing online and also has in-store style sessions. Customers can come to the store for personal styling sessions, then order clothes through a mobile app or website.

Features

Column	Type	Description
Email	string	Customer email address
Address	string	Customer address
Avatar	string	Avatar color chosen by customer
Avg. Session Length	float	Average in-store session length (minutes)
Time on App	float	Time spent on mobile app (minutes)
Time on Website	float	Time spent on website (minutes)
Length of Membership	float	Years of membership
Yearly Amount Spent	float	Total yearly spending (USD) - Target Variable

Dataset Statistics

Feature	Mean	Std	Min	Max
Avg. Session Length	33.05	0.99	29.53	36.14
Time on App	12.05	0.99	8.51	15.13
Time on Website	37.06	1.01	33.91	40.01
Length of Membership	3.53	1.00	0.27	6.92
Yearly Amount Spent	499.31	79.31	256.67	765.52

Quick Start

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Srikanth-Karthi/ecommerce-predictor-data")

# View first few rows
print(dataset["train"][0])

Or with Pandas:

import pandas as pd
from huggingface_hub import hf_hub_download

# Download and load
path = hf_hub_download(
    repo_id="Srikanth-Karthi/ecommerce-predictor-data",
    filename="Ecommerce.csv",
    repo_type="dataset"
)
df = pd.read_csv(path)
print(df.head())

Use Cases

• Regression: Predict yearly customer spending
• Customer Segmentation: Cluster customers by behavior
• Feature Analysis: Understand what drives spending
• Marketing Optimization: Target high-value customers

Key Insights

1. Length of Membership has the strongest correlation with yearly spending
2. Time on App shows higher correlation than Time on Website
3. Suggests focusing on mobile app development over website improvements

Associated Model

This dataset was used to train:

• Srikanth-Karthi/ecommerce-spending-predictor

Demo

Try the live prediction demo:

• Srikanth-Karthi/ecommerce-predictor-demo

Citation

@misc{ecommerce-spending-dataset,
  author = {Srikanth-Karthi},
  title = {E-commerce Customer Spending Dataset},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Srikanth-Karthi/ecommerce-predictor-data}
}