Product Affinity Analysis
Retail
Merchandisers, Marketing Teams, E-commerce Managers
Discover frequently co-purchased products to improve bundling, cross-sell strategies, and product recommendations, increasing average order value.
Similar to Market Basket Analysis, association rule mining algorithms identify strong relationships between products that are bought together, generating rules like "If Product A is bought, then Product B is likely also bought."
Tabular
Transactional data, specifically item-level purchase information for each transaction.
- Association rules revealing product co-occurrence patterns
- Insights into customer purchasing habits
- Recommendations for effective product bundling and cross-promotion
Create strategic product bundles, optimize product placement in stores or online to encourage impulse buys, and power personalized "Customers also bought" recommendations on e-commerce platforms to drive additional sales.
Rule Mining