{"id":9964,"date":"2024-02-03T00:38:00","date_gmt":"2024-02-02T17:38:00","guid":{"rendered":"https:\/\/jailangkung.com\/?p=9964"},"modified":"2024-02-03T00:38:02","modified_gmt":"2024-02-02T17:38:02","slug":"introducing-market-basket-analysis-data-mining-technique-to-maximize-retail-business-profits","status":"publish","type":"post","link":"https:\/\/jailangkung.com\/introducing-market-basket-analysis-data-mining-technique-to-maximize-retail-business-profits\/","title":{"rendered":"Introducing Market Basket Analysis: Data Mining Technique to Maximize Retail Business Profits"},"content":{"rendered":"\n

jlk – <\/strong>You’ve probably shopped at a supermarket or online store and noticed certain products being paired or recommended together. For example, when buying toothpaste, you might also be offered a toothbrush. <\/p>\n\n\n\n

Or when purchasing clothes, you may be suggested to buy matching pants. Is this a coincidence? Certainly not. It’s the result of a data mining technique known as market basket analysis.<\/p>\n\n\n\n

Market basket analysis is a technique used to analyze patterns of product purchases frequently made by consumers in a single shopping basket. <\/p>\n\n\n\n

Its goal is to understand consumer behavior by identifying relationships between purchased products. Consequently, retail businesses can boost sales by:<\/p>\n\n\n\n

    \n
  1. Placing frequently bought products together in close proximity, both physically (on store shelves) and virtually (in e-commerce site catalogs).<\/li>\n\n\n\n
  2. Offering promotions, discounts, or incentives for frequently purchased products, such as bundled packages or cross-selling.<\/li>\n\n\n\n
  3. Enhancing customer retention by providing product recommendations based on their needs and preferences.<\/li>\n\n\n\n
  4. Expanding market share by targeting potential consumers with similar purchasing patterns as loyal customers.<\/li>\n<\/ol>\n\n\n\n

    Market basket analysis employs an algorithm called association rules mining, which generates association rules between purchased products. These association rules take the form of:<\/p>\n\n\n\n

    {Product A} => {Product B}<\/p>\n\n\n\n

    This implies that if a consumer buys Product A, they are also likely to purchase Product B. To evaluate the strength of these association rules, several metrics are used:<\/p>\n\n\n\n

      \n
    1. Support:<\/strong> The relative frequency of Products A and B being purchased together in all transactions. Higher support indicates more frequent occurrences of the association rule.<\/li>\n\n\n\n
    2. Confidence:<\/strong> The proportion of transactions buying Product A that also buy Product B. Higher confidence signifies a stronger relationship between Products A and B.<\/li>\n\n\n\n
    3. Lift:<\/strong> The ratio of support to the product of individual supports for Products A and B. Higher lift indicates a more significant relationship between Products A and B.<\/li>\n<\/ol>\n\n\n\n

      For example, considering 10 shopping transactions:<\/p>\n\n\n\n

      One association rule formed from this data could be:<\/p>\n\n\n\n

      {Pet Food} => {Syrup}<\/p>\n\n\n\n

      This means that if a consumer buys pet food, they are also likely to buy syrup. The metrics for this association rule are:<\/p>\n\n\n\n

        \n
      • Support: 4\/10 = 0.4, meaning 40% of all transactions involve the simultaneous purchase of pet food and syrup.<\/li>\n\n\n\n
      • Confidence: 4\/5 = 0.8, indicating that 80% of transactions buying pet food also buy syrup.<\/li>\n\n\n\n
      • Lift: 0.4\/(0.5 x 0.6) = 1.33, suggesting that the likelihood of buying syrup after purchasing pet food is 1.33 times greater than random chance.<\/li>\n<\/ul>\n\n\n\n

        Based on these metrics, it can be concluded that the association rule {Pet Food} => {Syrup} is strong and frequently observed. <\/p>\n\n\n\n

        Retail businesses can leverage this rule to enhance sales by placing pet food and syrup together on shelves or the same page on e-commerce sites, offering discounts for their combined purchase, or recommending syrup to customers buying pet food.<\/p>\n\n\n\n

        However, market basket analysis has limitations, such as its inability to capture cause-and-effect relationships between purchased products, the exclusion of other factors influencing consumer behavior (e.g., demographics, psychographics, seasons, trends, or competitor promotions), and the need for large, high-quality transaction data to generate valid and reliable association rules.<\/p>\n\n\n\n

        Therefore, market basket analysis should not be used as the sole tool for business decision-making but rather as one source of information that can be combined with other methods like cluster analysis, sentiment analysis, or predictive analysis. This way, retail businesses can gain a more comprehensive and accurate understanding of their customers and market.<\/p>\n","protected":false},"excerpt":{"rendered":"

        jlk – You’ve probably shopped at a supermarket or online store and noticed certain products being paired or recommended together. For example, when buying toothpaste, you might also be offered a toothbrush. Or when purchasing clothes, you may be suggested to buy matching pants. Is this a coincidence? Certainly not. It’s the result of a […]<\/p>\n","protected":false},"author":17,"featured_media":9949,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7499,18309,4702,18377],"class_list":["post-9964","post","type-post","status-publish","format-standard","has-post-thumbnail","category-sorotan","tag-bunismeen","tag-cabai","tag-great-scholarship","tag-mobil"],"_links":{"self":[{"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/posts\/9964","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/comments?post=9964"}],"version-history":[{"count":0,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/posts\/9964\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/media\/9949"}],"wp:attachment":[{"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/media?parent=9964"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/categories?post=9964"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jailangkung.com\/api-json\/wp\/v2\/tags?post=9964"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}