SmartRevenue’s Shopper-Centric Research™ techniques bring together three crucial elements of advanced next-generation consumer research:

• Quantitative Ethnography - At SmartRevenue, we believe there is no substitute for quantifying ethnographic observations at the point of product pickup and linking those observations to UPC-scans, follow-up questions and total ring. This method of integrated data collection allows for the triangulation of multiple data points to provide a more robust picture of who the shopper is, how they shopped, what they purchased, and why.
  • Ethnographic observation is a research approach that uses highly trained staff to note every aspect of the shopping experience. This creates a complete picture of shopper needs, decision logic, brand, channel/store selection, aisle behavior, etc. and organizes those observations into a framework for deciding on practical client strategies and tactics.
  • SmartRevenue employs advanced graduate and Ph.D. anthropologists trained in SmartRevenue methodologies and protocols.
• Technology – Our advanced surveying technology using wireless PDA’s and SmartRevenue’s proprietary PDA software enables the quantification of observations by: 1) scanning UPC codes and/or recording purchases and loyalty cards in order to track products purchased, compared and/or considered and 2) integrating and organizing data on customer shopping behavior, purchases and interview responses. The data is made available in relative real-time on a password-protected website.
• Real world experience – We complement our anthropological and research team with industry marketing and sales veterans with the right experience for each client’s business. 

The combination of our research methods, technological capabilities, and industry expertise allows us to make fact-based recommendations that focus on:

• Shopper segmentation and decision trees
• Need-states and motivations
• Drivers of planned and unplanned purchases
• Store and shelf high value hot spots
• Separating channels by consumer/shopper expectations and desires
• POP experience – how to simultaneously improve shoppability and simplify presentation/organization, make displays effective, and optimize supportive materials

These recommendations are quantified, broken out by shopper-segment, channel and retailer, and are suitable for pre-test and iteration before rollout.

By integrating loyalty card data, SR can provide the added dimension of shopper purchase history in order to understand the sample in the context of heavy, medium, and light shoppers by retailer, category, brand, and purchase trending.