What is retail intelligence?
Retail intelligence is the use of customer, transaction, operational and commercial data to inform decisions across stores, merchandising, marketing and strategy. The verified customer signals layer is the missing piece for most retailers: anonymous ratings captured from real paying customers at the moment of payment, linked to every transaction. TruRating delivers this layer, pre-joined to basket, time of day, store, promotion and loyalty status, so retailers can see which moments actually drive conversion, basket size and repeat visits.
How is TruRating different from a CX platform like Medallia or Qualtrics?
CX platforms like Medallia and Qualtrics rely on longer surveys sent after the visit, including receipt-based surveys with low response rates. TruRating captures one anonymous rating at checkout from 84% of customers, linked directly to the transaction. You get a representative view of the customer experience with the commercial context, basket, time of day, store, promotion and loyalty status, that you need to act on it.
What's a good response rate for retail customer feedback?
Receipt-based and email-based customer feedback surveys typically achieve under 1% response. TruRating achieves 84% participation because the question is asked on the payment terminal itself, anonymously, with a single keypress. No email, no QR code, no app. That's around 80× the response rate of CX receipt-based surveys, and it's the difference between a self-selecting minority and a representative view of your paying customers.
What is the 84% participation rate, and how is it possible?
84% of customers respond to TruRating's single anonymous question at checkout. The high rate comes from the placement (on the payment terminal) and the format (one question, one keypress). The interaction is patented globally, granted and pending across key markets.
How does TruRating work across different retail formats?
TruRating works wherever a customer pays, and the question you ask sets what you learn. In grocery, operations teams track checkout wait times and staff helpfulness store by store and shift by shift, while merchandising teams ask whether customers found everything they came for and read the answers against the basket to spot availability gaps by category. In convenience and fuel, teams measure speed of service and store standards across high-frequency visits. In big-box and department stores, store design teams test layout changes, signage and how easily customers find what they need. In specialty retail, teams measure frontline execution on the sales floor, from product knowledge to service, and marketing teams see how promotions and loyalty offers land at the moment of purchase. Every response is linked to the transaction, the shift, the store and the promotion, so retailers can compare experience and commercial performance like-for-like across formats.
Can TruRating data support AI systems?
Yes. TruRating's data platform exposes pre-joined, validated, transaction-linked customer signals via Model Context Protocol (MCP) Server, REST APIs, and Delta Lake exports. Plug into any data stack, including Databricks, Snowflake, BigQuery, and the major retail-vertical platforms.