Confidence measures the probability that a customer will buy the consequent item when they have already purchased the antecedent item. Strategic Advantages for Businesses Understanding product affinities allows companies to optimize inventory management and reduce stockouts of frequently paired items.
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The core metrics used are support, which measures how often a combination appears, and confidence, which indicates the likelihood of one item being purchased when another is present. Metric What It Measures Business Interpretation Support Frequency of item set How common the combination is Confidence Conditional probability Strength of the rule Lift Ratio of observed to expected confidence True dependency between items Real-World Applications Across Industries Retailers use market basket analysis to design store layouts that encourage cross-selling.
When combined with customer segmentation, these insights become even more powerful, allowing strategies to be tailored to specific demographic or behavioral groups. Market basket analysis is a technique used to uncover relationships between the products customers purchase together.
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By examining transaction data, businesses can identify patterns that reveal which items are frequently bought in combination. This method transforms raw point-of-sale data into actionable insight, helping organizations understand customer behavior at a granular level.
More About What is a market basket analysis
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