Numerator vs User Intuition: Shopper Data and Interviews

Numerator’s shopper intelligence platform connects receipt-verified purchases with consumer profiles and analysis. Its survey and qualitative services add attitudes and context to observed buying. That combination is useful for examining penetration, switching and category behavior across an established panel.

User Intuition’s shopper research workflow starts with a question such as why a shopper abandoned a planned purchase or chose one store over another. Interviews explore the trip, alternatives and practical constraints in detail. A team can use the findings to develop a response and decide which uncertainty to investigate next.

Numerator’s qualitative research services include photo and video responses, moderated digital exchanges and custom interviews or groups. These methods can add context to purchase behavior and recruit against relevant shopper experiences.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For example, a shopper may choose a familiar brand because it reduces the risk of wasting a family meal, not simply because awareness is higher. Following the attribute through its consequences helps a brand team understand the reassurance, occasion or constraint that a new proposition must address.

Existing Numerator data can answer a behavioral question without waiting for new fieldwork. A custom survey or qualitative project adds its own audience and method requirements. Distinguishing an analysis of existing purchases from collecting new accounts makes the research timeline clearer.

User Intuition offers BYOP or a 4M+ vetted panel and interviews in 80+ languages. Researchers can investigate different shopping occasions or markets in parallel and review findings as conversations finish. Screen for the purchase or category experience required by the brief; a narrow purchaser segment is recruited to order with a specialist quote.

Numerator’s value includes access to established purchase histories and panel-based intelligence. The scope of data, research services and audience access determines the proposal. A buyer should separate the cost of an ongoing intelligence resource from the cost of a custom fieldwork project.

User Intuition’s interview price covers the research conversation and analysis; standard panel recruitment adds $30 per participant. BYOP incentives are separate, and specialist shopper criteria require a recruiting quote. The starting study can help a brand or agency identify which hypothesis merits a larger research investment.

A shopper’s category qualification does not guarantee a useful explanation of a particular trip. User Intuition checks the depth and relevance of the conversation as well as its length. Research teams receive a concrete billing safeguard when a participant provides too little evidence to address the brief.

Numerator’s receipt-verified purchase data provides a different quality advantage: it grounds behavioral analysis in recorded transactions. User Intuition’s automatic billing checks apply to the interview itself. Both the relevance of the shopper and the substance of the account matter when using research to guide a decision.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework and Hennink et al.’s meaning-saturation research. These approaches connect sample adequacy to relevant information and distinguish identifying a theme from understanding it in depth. For a brand-switching question, User Intuition can examine whether the interviews explain the occasion and alternatives in enough detail. It can recommend further analysis of existing trips or recruiting shoppers from a missing switching pattern, so the next study addresses the uncertainty with the greatest consequence for the brand decision.

For example, we interviewed 43 Walmart shoppers to understand purchase decisions, trip friction and return intent. Thirty-six said they would shop at Walmart again. User Intuition recommends recontacting shoppers after their next comparable trip and comparing those who returned with those who chose another store. The follow-up tests which experiences turn stated intent into a store choice. Explore the Walmart study, two recommended follow-ups and sample presentation.

Numerator’s Nexa experience agent supports analysis of consumer behavior and sentiment. A team can use that analysis to identify a pattern that deserves deeper investigation, such as switching concentrated around a particular occasion or household need.

With User Intuition’s agent workflow, the researcher can turn that pattern into a brief, define the relevant audience and review a cost estimate. After the team approves spending, the assistant can launch the interviews and return evidence for comparison with the original hypothesis. The workflow makes new research a practical next step within analysis.

User Intuition builds synthetic participants from real, opted-in respondents, using their individual traits, habits and behaviors. It repeatedly compares synthetic responses with the same respondents’ real answers to calibrate the models. That grounding preserves differences in experience and priorities that generic LLM feedback flattens.

This design is informed by Park et al. (2024). Their simulations of 1,052 people reproduced General Social Survey answers 85% as accurately as those people reproduced their own answers two weeks later. The study informs User Intuition’s emphasis on individual grounding and repeated calibration. For shopper research, this helps teams examine how the same proposition could mean different things across household routines, shopping missions and category habits.