시장 조사

Measures unaided brand recall, aided recognition, and consideration-set drivers within a product category to benchmark brand awareness, track advertising impact, and inform campaign strategy.

For consumer packaged goods and product teams running in-home or trial-use tests. Captures actual usage behavior, attribute-level ratings, purchase intent, and what matters most to improve — with an AI follow-up interview that reconstructs a specific moment of use to explain the ratings behind it.

Captures the full vehicle-purchase experience — what drove the decision, how the dealership or online process performed, and how likely buyers are to return or recommend — for auto manufacturers and dealer groups. An AI follow-up interview reconstructs the actual deciding moment, including near-misses and hesitations that closed-ended questions miss.

Uncovers what actually drives people to buy seminars, workshops, and paid training — skill gaps, career pressure, employer funding, urgency, or discounts — plus pricing perception. Built for seminar and training providers refining offers, messaging, and price points. The AI follow-up interview reconstructs the exact moment a respondent decided to purchase and what nearly stopped them.

카테고리 사용 패턴, 사용 계기, 미충족 니즈, 브랜드 인식을 측정하여 경쟁적 포지셔닝을 벤치마킹합니다. 브랜드 건전성 또는 카테고리 환경 연구를 수행하는 시장 조사자에게 적합합니다.

이커머스 광고에 대한 비보조 브랜드 회상, 메시지 명확성, 광고 관련성, call-to-action 성과, 행동 의향을 측정합니다. 크리에이티브 최적화 및 미디어 믹스 평가에 적합합니다.

Estimates the total addressable spend, current usage, and switching potential for a product or service category — combining budget allocation, price-sensitivity, and prioritization questions with an AI follow-up that reconstructs the real trigger events and decision-makers behind category spend, not just stated intent.

Measures how much shoppers trust functional food and beverage claims around fiber, protein, and gut health/probiotics, what evidence makes a claim believable, and where skepticism creeps in. An AI follow-up interview digs into a specific claim the respondent doubted or trusted and reconstructs what actually changed their mind. Built for brand, insights, and regulatory teams evaluating label and marketing language.

Measures brand awareness, perception shift, and purchase intent following a corporate rebrand. Designed for market researchers benchmarking post-rebrand lift against baseline data and identifying messaging risks across key consumer segments.

최초 상기도, 보조 브랜드 인지도, 브랜드 연상, 구매 고려도를 측정하여 목표 브랜드를 경쟁사와 비교 벤치마킹합니다. 채널과 대상별로 인지도를 추적하는 시장 조사 담당자에게 적합합니다.

Maps unmet and over-served outcomes among current product users using Jobs-to-Be-Done methodology. Use it to calculate opportunity scores, prioritize features, and validate roadmap decisions.

Measures when and why shoppers enter a product category, the decision drivers behind brand selection, and the path to purchase—providing actionable insights for brand positioning, retail activation, and category growth strategy.

Builds a rich profile of who your customers are and what they care about—household makeup, media habits, and lifestyle interests—paired with an AI follow-up that digs into the story behind their top interest instead of just a checkbox.

회의 생산성, 조직화, 심리적 안전감, 환경을 평가하기 위한 구조화된 피드백 도구입니다. 정기적인 팀 회의에 대해 실행 가능한 개선점을 파악할 수 있도록 회의 종료 후 배포되도록 설계되었습니다.

Evaluates how clearly a landing page communicates its value, how much trust it builds, and whether visitors intend to act. Ideal for UX researchers, product marketers, and CRO teams diagnosing friction and optimizing conversions.

Maps the end-to-end path customers take from first considering a purchase to completing it — the triggers, information sources, and trade-offs that shaped the decision. Built for product, marketing, and CX teams optimizing conversion; the AI follow-up interview reconstructs the exact moment of hesitation that almost derailed the purchase.

Measures how personally invested, informed, and careful shoppers are when choosing products in a given category — from perceived risk and personal identity to time spent researching — with an AI follow-up interview that reconstructs the real story behind a recent purchase decision. Built for brand and category teams who need to know how much shoppers actually think before they buy.

Measures how GLP-1 medications (like Ozempic, Wegovy, or Zepbound) are reshaping household grocery and snack shopping — spending shifts, category cuts, and snack decision factors. Built for CPG and retail researchers, with an AI follow-up interview that reconstructs a real recent shopping trip instead of relying on general impressions.

Measures unaided and aided brand awareness, familiarity, and consideration within a product category — including where awareness comes from. An AI follow-up interview digs into why certain brands come to mind first and what's blocking awareness of brands that don't, going beyond simple recall percentages.

Measures unaided and aided brand awareness, image associations, value perceptions, purchase intent, and NPS against key competitors to benchmark brand health and identify competitive positioning opportunities.