{"id":464,"date":"2020-02-19T07:53:19","date_gmt":"2020-02-19T07:53:19","guid":{"rendered":"https:\/\/spinanalyticsandstrategy.com\/blog\/?p=464"},"modified":"2020-02-19T07:53:19","modified_gmt":"2020-02-19T07:53:19","slug":"market-basket-analysis-tool-predict-customer-buying-pattern","status":"publish","type":"post","link":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/market-basket-analysis-tool-predict-customer-buying-pattern\/","title":{"rendered":"MARKET BASKET ANALYSIS \u2013 THE TOOL TO PREDICT CUSTOMER BUYING PATTERN"},"content":{"rendered":"

To be honest, designing business marketing campaigns<\/strong> for existing customers is as difficult as nailing jelly to a tree. That\u2019s given.
\nTo accomplish this feat of tough analysis, access to a list of customers, email addresses, and purchase data is imperative, but the tricky part remains unattended- sending meaningful insights that will boost a customer\u2019s lifetime value and trigger a repeated purchase.<\/p>\n

This trick of accurately targeting customers has been cracked by big enterprises with the help of in-house Data Science<\/strong> teams using a particular approach. The name of their approach is- Market Basket Analysis (MBA).<\/strong><\/a>
\nIt is one of the key approaches adopted by renowned retailers to unravel the link between items. One of the basic principles of this approach is to track the combination of items that occur together repeatedly in the transactions.
\nIn simple words, it enables retailers to determine the relationship between the items that consumers purchase. Let\u2019s dig deep for a better understanding.<\/p>\n

At the core<\/b><\/span><\/p>\n

The very base of MBA, popularly known as Affinity Analysis, is depended on Data Mining<\/strong>, which uses <\/span>Association Rule Learning<\/i><\/strong><\/a> to determine the bond between customers and the attributes associated with them.<\/span><\/p>\n

The more common and stronger a relationship is, the quicker you can put your customers into segments for future analysis. All that is needed for this initiative is customer and order data.<\/span><\/p>\n

A scenario<\/span>– In a grocery store, there are numerous products, out of which consumers can lay their hands on any particular group of things. Say Peanut butter and jelly, cream cheese and turkey, etc. Using Market Basket Analysis<\/strong><\/em><\/a> on the grocery store data, it will be a piece of cake to determine which products are brought together by customers. Adding a feather in its cap is- discovering new bonds between customers and newer product combinations.<\/span><\/p>\n

Read More for Related Blogs:<\/span>  <\/strong><\/p>\n

How to make your Season Sales more efficient? Only AI has the answer<\/a><\/p><\/blockquote>\n