Manufacturers and retailers need agility to adapt their strategies and match to changing needs.

Three Dimensions of Data for Capturing Shopping Trends


The COVID-19 pandemic has shown how shopping patterns can change drastically in no time at all.


But even without such a dramatic outside influence, shopping behaviors have been changing quite rapidly—driven by a multitude of factors related to health, lifestyles, seasonality, the economy, technology and delivery options. 


While sales data and survey data is used widely for tracking shopper trends, including in-store behavior data can measure the true pulse of the shopper.


Sales Data: illuminates critical insights on market share —who are the buyers and what did they buy.


Survey Data: captures consumer data on attitudes and preferences—what they want, what they like, what they think.


In-Store Behavior Data: how shoppers navigate the store, how they engage with different elements of the store, how they shop at the shelf and what factors impact their purchase decisions.


In-store behavior data, including standardized Path-2-Purchase metrics, can complement sales and survey data, providing ongoing insights

Shopper Behavior At Three Levels


Storewide shopper tracking provides insight on how overall shopping patterns are changing for a specific retail channel, such as Grocery or C-store


Category shopper tracking provides insights for each category to help with category management and shopper marketing


Brand shopper tracking, the most granular level of tracking, provides insights for each brand and its related product attributes

Fact-based insights for adaptive and informed decisions. LEARN MORE