Tracksuit vs User Intuition: Brand Research and Pricing

Tracksuit’s brand tracking product includes funnel measures, brand attributes and unprompted word associations. That gives a brand team a continuing view of its category and audience.

User Intuition’s brand research can investigate why people who know a brand never try it, why first-time buyers fail to return or what an association means in a purchase decision. For an agency, those interviews can inform a brief, a positioning recommendation or the next concept to test.

User Intuition’s 5–7 levels of laddering can follow “this brand feels premium” into expected product performance, an occasion where failure would matter and the reassurance the shopper seeks. That helps a creative team decide which promise to make and which evidence needs to support it.

This approach is informed by Reynolds and Gutman’s laddering research. Connecting attributes to consequences and values makes an association actionable: “premium” could mean durability to one buyer and a suitable gift to another. User Intuition helps the team investigate those differences before committing to a campaign. See how User Intuition applies laddering.

An agency can start with a specific concern, such as low consideration among people who recognize the brand, and invite relevant consumers to interview. User Intuition makes findings available as quality conversations finish, allowing a team to explore the evidence during the study.

User Intuition supports your own participants or a 4M+ vetted panel, with interviews in 80+ languages. Recruitment and audience availability affect completion time. Run interviews across relevant customer groups concurrently, then use the differences in experience to decide which explanation deserves further research.

Five User Intuition interviews cost $300 including standard panel recruitment. BYOP incentives are separate, and specialist audiences need a recruiting quote. This gives research teams and agencies a defined starting budget for a focused question or client brief.

Tracksuit’s agency pricing also describes arrangements for multiple brands and markets. The purchase covers a continuing measurement program. User Intuition gives teams an additional option for commissioning consumer explanations as questions arise, without starting a new annual tracking agreement.

User Intuition’s checks assess whether a respondent gives substantive accounts of brand experiences and addresses the brief. A session that never gets beyond generic praise should not consume the same budget as an interview that explains a purchase, rejection or switch.

Tracksuit describes respondent qualification, data cleaning and population weighting for its brand measurement. Those controls serve a survey-based tracking program. User Intuition adds automatic interview-level billing protection for commissioned conversations; its evidence review then checks how strongly the collected accounts support the proposed recommendation.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework and Hennink et al.’s research on meaning saturation. These approaches relate sample adequacy to relevant information and distinguish noticing a theme from understanding it in depth. User Intuition applies these ideas to assess whether a brand explanation is detailed and varied enough to act on. It can recommend analyzing existing interviews when they contain the relevant evidence, or interviewing a missing group, such as aware non-buyers, when their experience could change the 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, then comparing those who returned with those who chose another store. This tests what turns stated intent into a store choice. Explore the Walmart study, two recommended follow-ups and sample presentation.

For example, an assistant can help investigate whether an intended “dependable” positioning matches consumers’ product experiences. User Intuition can support the study setup, audience definition and analysis so the team can review the evidence before choosing a claim.

Tracksuit’s dashboard and Ask AI tools help interpret its brand data. User Intuition’s agentic research workflow supports commissioning new interviews and reviewing the resulting evidence. This makes it useful when a brand metric raises a question that the existing data cannot resolve.

For brand work, User Intuition’s synthetic participants can help explore whether a proposed message fits different buying habits, routines and occasions. Their individual histories help an agency develop sharper hypotheses and anticipate the questions a consumer study should investigate. Explore User Intuition’s synthetic participants.

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 result informs User Intuition’s person-specific grounding and repeated calibration against the original respondent. The focus is on preserving consumer differences that matter to the brief, such as habitual purchase, gifting and switching, rather than asking an LLM for a single average consumer reaction.