시장 조사

Measures how everyday consumers manage money: budgeting habits, financial stress, product usage, spending allocation, and satisfaction with their primary bank or financial provider. An AI follow-up interview digs into the real story behind a recent financial decision or stressful moment instead of settling for a scale score. Built for banks, fintechs, and researchers tracking consumer financial wellbeing.

A pre-conversation intake survey for sales, real estate, and consultative teams to capture a prospective buyer's needs, timeline, budget, and decision-making process before the first meeting. The AI follow-up digs into whichever decision factor matters most to that buyer and surfaces the deal-breakers a form alone would miss.

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.

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.

사람들이 제품을 어떻게 발견하고, 평가하며, 구매를 결정하는지를 탐구합니다 — 어디에서 검색하는지, 결제 단계에서 무엇이 거의 구매를 멈추게 하는지, 그리고 가격을 신뢰 및 편의와 어떻게 저울질하는지를 살펴봅니다. AI 후속 인터뷰가 응답자의 가장 최근 구매를 단계별로 재구성하여 평가 뒤에 숨은 실제 마찰 지점을 드러냅니다.

Measures how often people buy gasoline, what drives their choice of station, and how they perceive fair versus unfair pump prices — for retailers, fuel brands, and pricing teams. An AI follow-up interview digs into the gap between stated price sensitivity and what actually makes drivers switch or stay loyal.

Captures how car audio and stereo system buyers register their new equipment — where they bought it, who installed it, why they registered, and where the process breaks down — with an AI follow-up that digs into the specific friction points behind low ease-of-registration scores. Built for consumer electronics brands and installers refining their warranty and registration funnel.

Measures how satisfied recent car buyers and lessees are with the dealership experience, financing or lease terms, and the vehicle itself — including likelihood to recommend and repurchase. An AI follow-up interview digs into the specific moment or issue that shaped their rating, surfacing details a rating scale alone would miss.

출시 전 신규 서비스 콘셉트에 대한 반응을 테스트합니다 — 명확성, 독창성, 가격 민감도, 구매 의향, 그리고 도입 장벽을 파악하며, 응답자가 왜 구매하거나 구매하지 않을지 심층적으로 파고드는 AI 후속 질문을 포함합니다. 투자에 앞서 콘셉트를 검증하려는 제품 및 혁신 팀을 위해 설계되었습니다.

A post-purchase warranty registration survey that captures where and why customers bought a product, how it's performing against expectations, and how likely they are to recommend it — paired with an AI follow-up that digs into the real story behind any gap between expectations and reality.

Traces the full purchase journey — what triggered the search, which channels shoppers trusted, which criteria mattered most, and how they feel about the outcome. Built for product, marketing, and insights teams benchmarking their buying process. The AI follow-up rebuilds the exact moment the decision tipped, surfacing the near-miss competitor and friction points closed questions miss.

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.

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.

Explores how often people visit the mall, what they buy, how they allocate spend across categories, and what drives their choice of retail destination. Built for mall operators, retail marketers, and tenant-mix planners; the AI follow-up interview reconstructs the real story behind a shopper's most recent purchase decision, including near-misses and price hesitation that closed questions miss.

Groups your customers into meaningful segments by combining behavioral usage patterns, need-based attitudes, purchase-driver trade-offs, and demographics. Built for marketers and researchers building or refreshing a segmentation model. The AI follow-up interview digs into the 'why' behind each respondent's top purchase driver so segments are grounded in real reasoning, not just survey scores.

최근 주택 구매자가 매물 검색, 매수 제안, 계약 체결, 입주 과정을 어떻게 경험했는지, 담당 중개인이나 시공사에 대한 만족도, 주택 선택 시 가장 중요하게 여긴 요소를 파악합니다. AI 후속 인터뷰는 구매 과정에서 가장 낮게 평가된 순간의 이유를 심층적으로 파악하여, 만족도 점수만으로는 드러나지 않는 구체적인 불편 지점을 발견합니다.

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.

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.

Tests how a new product or service concept lands with your target audience — appeal, differentiation, believability, and purchase intent — plus a best-worst trade-off on concept features and a price sensitivity check. An AI follow-up interview digs into the reasoning behind purchase intent scores so you know what to fix before you build it.

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.