Increase your basket size with Reccodo’s “Bought Together” Recommendations. Reccodo helps you identify merchandise opportunities in items sold together. Recommend items to your users even without prior personal knowledge.
Looking at the bigger picture of your market, frequently bought together products emerge. Large number of shopping baskets are analysed to provide insight on popular items the customers enjoying together. Reccodo provides an easy to install service that analyses customers shopping behaviour and helps you engage new customers based on the general trend.
Reccodo’s recommendation service is powered with state of the art data mining technologies providing “usually bought together” suggestions in real time. Use Reccodo to achieve better customer engagement for new visitors.
Usually bought together items reveal regularities between products and can be used to drive promotional pricing, product placements and customer segmentation. Let the data suprise you!
Reach to your visitors for additional selling of relevant or close related products. Accessories and add-ons increase revenues but also strengthens the relationship between your business and customers. Reduce the risk that cross-selling involves by using Reccodo’s predictive analytics!
In order to identify and recommend “usually bought together” products to your customers, you need big data infrastructure and algorithms. The market shifts quickly and you should catch the hype while it is hot. Use Reccodo’s analytics to recommend popular products in real time as they evolve.
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