KGP Synthetic Customer Behavior Segments

Synthetic dataset for research and modeling. No real customer-level data included.

Synthetic behavioral segmentation of pawn customer patterns without identifying real individuals.

King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester.

Scenario: consumer_stress_cycle

Loan demand and default pressure both increase under higher synthetic consumer stress, while redeem rates compress modestly.

Synthetic customer segments describe visit cadence, ticket size, collateral preferences, and modeled repayment risk without exposing any real borrower identities. This build contains 37 rows under the consumer stress cycle scenario.

Version: 2026-04-16

Canonical hash: cf18a978ff30966252bfb93dc60fa9f3faa4c72785219a60eeb8dd16f74525c9

Row count: 37

Realism score: 1.0

Key Observations

• Average annual visit frequency is 0.00, supporting repeat-use behavior instead of one-off random records.
• Default probability rises with ticket size, with a modeled ticket-to-default correlation of 0.00.
• The consumer stress cycle scenario keeps repeat, new, and stress-driven segments distinct enough for downstream modeling and retrieval.

Related Datasets

• collateral distribution and liquidity (2026-04-12, seasonal_back_to_school) via zenodo: https://zenodo.org/record/19521225
• regional pawn market conditions (2026-04-13, holiday_liquidity_spike) via zenodo: https://zenodo.org/record/19579386
• pawn loan activity (2026-04-14, baseline) via zenodo: https://zenodo.org/record/19579387
• gold price vs pawn activity (2026-04-15, high_gold_price_cycle) via zenodo: https://zenodo.org/record/19583190

Full dataset index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md

Kaggle dataset mirror: https://www.kaggle.com/datasets/genefur/kgp-synthetic-customer-behavior-segments

Figshare dataset mirror: https://api.figshare.com/v2/articles/31985595

Figshare dataset mirror DOI: 10.6084/m9.figshare.31985595.v1

OpenML dataset record: https://www.openml.org/d/47180

GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/customer_behavior_segments/2026-04-16/README.md

HuggingFace dataset mirror: https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-customer-behavior-segments