infinite-dataset-hub/RetailCustomerSegmentation

---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# RetailCustomerSegmentation

tags: personalization, demographics, clustering

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'RetailCustomerSegmentation' dataset is a curated collection of customer data from a fictitious retail company. This dataset aims to facilitate machine learning practitioners in creating personalized marketing campaigns and tailored shopping experiences. It encompasses customer demographics and purchase history, with each entry categorized into distinct segments for targeted marketing. Labels indicate the primary segment for each customer, enabling efficient clustering and analysis.

**CSV Content Preview:**

```
customer_id,age,gender,annual_income,spending_score,labels
1,23,Female,39000,39,ValueSeekers
2,35,Male,30000,81,PremiumShoppers
3,42,Female,54000,50,LoyalBuyers
4,36,Male,62000,24,ImpulseBuyers
5,28,Female,31000,77,ValueSeekers
```

*Note:* Each label is an invented category reflecting a specific customer segment. For instance, 'ValueSeekers' might represent customers who are cost-conscious but still make quality purchases, while 'PremiumShoppers' may represent customers who are willing to spend more for luxury or high-end products.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=RetailCustomerSegmentation&tags=personalization,+demographics,+clustering
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub