---
language:
- en
tags:
- tabular-classification
- binary-classification
- synthetic
pretty_name: Synthetic SaaS User Conversion
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: train.csv
  - split: test
    path: test.csv
---

# Synthetic SaaS User Conversion

A fully synthetic tabular dataset for practicing binary classification models such as an MLP. The target indicates whether a simulated SaaS user converted to a paid subscription. It contains no real people or customer records.

## Splits

- train.csv: 2,000 rows
- test.csv: 500 rows

## Target

- converted: binary label where 1 is the positive outcome and 0 is the negative outcome.

## Features

- user_id: anonymous synthetic user identifier
- acquisition_channel, device_type, country_tier: acquisition context
- days_since_signup and trial_days_remaining: trial timing
- sessions_30d, avg_session_minutes, key_features_used: engagement
- pricing_page_views, support_chat_used, email_click_rate_pct: purchase-intent signals

## Notes

Values and labels were procedurally generated with a deterministic seed for educational use only. Do not treat the patterns as real-world evidence or production guidance.