Latana vs User Intuition: Brand Research and Pricing

Latana’s brand tracking approach provides consistent measurement across waves. A brand team can use that evidence to understand whether its position is strengthening and among whom. The interview question is what explains the pattern and what the brand should do about it.

User Intuition’s brand research interviews can investigate a gap between awareness and consideration. People may recognize a brand yet misunderstand its purpose, distrust a promise or associate it with the wrong occasion. Their explanations help the team choose a focused intervention and identify which audience should be involved in the next study.

If a shopper describes a brand as “premium,” the moderator can explore the purchase they remember, what signaled quality and when the premium felt justified. The same word may express confidence for one person and unnecessary expense for another. Those differences matter when deciding which benefit a campaign should emphasize.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For brand strategy, an association such as reliability can lead to a practical consequence, such as avoiding disruption, and a deeper priority, such as being someone others can depend on. That chain helps teams build positioning around a meaningful outcome and choose credible proof.

For example, a brand team may see stable awareness but weaker consideration among recent category buyers. It can bring its own participants or recruit through User Intuition’s 4M+ vetted panel to explore what those shoppers encountered and compared. Findings arrive as quality interviews finish; recruitment and participant response affect completion time.

A shared interview brief can investigate the same brand promise across markets while allowing each participant to explain local associations and alternatives. This gives an agency a way to understand which parts of a message travel well and which need a different explanation, example or proof point.

User Intuition charges $30 per quality voice interview. Incentives for your own participants are separate, and specialist audiences are recruited to order. Research teams and agencies can investigate one positioning question without purchasing an annual tracking program, then add follow-up interviews when an unresolved explanation could change the recommendation.

Latana’s pricing includes monthly updates and unlimited users; a paid trial is available without a long-term commitment. The annual plans suit ongoing measurement. User Intuition’s study-based budget suits a focused investigation into what a brand means to people and how that meaning affects a choice.

A brand interview needs more than familiar adjectives. User Intuition checks whether the conversation develops experiences and addresses the learning goals before charging, so the budget goes toward accounts that can explain an association or purchase decision. The resulting evidence can reveal why the same message reassures one audience and alienates another.

Latana also applies quality controls, including data cleaning and demographic modeling for its tracking estimates. Those controls support reliable measurement. User Intuition’s quality billing supports substantive conversations, while evidence review examines whether the explanations are strong enough to guide the proposed brand action.

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 brand strategy, User Intuition uses these principles to assess whether an association has a consistent meaning across the relevant audience. It can recommend analyzing existing interviews for a competing interpretation or interviewing shoppers whose experience could change the positioning recommendation.

A shopper study illustrates how this evidence review works. 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.

A strategist might ask why a campaign improved recognition without improving consideration. The assistant can inspect existing studies, prepare interviews around the promise and the purchase occasion, and estimate the cost. Your team reviews the brief and approves spending before research begins.

User Intuition’s agentic research workflow returns findings with the accounts that support them. The team can ask which explanation is most consequential, where customer experiences differ and what evidence would justify revising the campaign. That connects a brand question to a research plan and a defensible next action.

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 tends to flatten.

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 a brand team, individually grounded responses help explore why the same promise could signal reassurance, status or unnecessary expense to different people. Those hypotheses make the next interview more specific and useful.