Using dayparts and affinity analytics to deliver enhanced insights and higher ROI's
At SwiftIQ, we believe that point-of-sale (POS) transaction data is the most valuable data for consumer goods retailers to optimize store-level decisions and grow cash flow. Increasingly, retailers and suppliers are collaborating with data infrastructures that enable joint contribution of data.1 SwiftIQ facilitates this collaboration by providing a platform that analyzes billions of records of receipt-level transaction and consumer data to optimize store-level assortment, promotion, merchandising, category management, media targeting, and digital personalization marketing efforts. It is the only on-demand platform that can analyze 100% basket-level POS data including non-UPC items like foodservice, coupons, and fuel. This ebook will outline how your company can maximize the value of transaction data using daypart and affinity analytics.
What you can expect to learn in this ebook:
- How and why retailers and suppliers should use daypart analytics to make more informed marketing, supply chain, operational, and labor decisions
- How affinity metrics can analyzed to understand shopper missions, as well as optimize promotions, display, store layout, and item assortments
- How to implement daypart and affinity analyses into consumer marketing and personalization efforts
- Why quantifying basket-value is essential for category management
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