마케팅·성장

Measures consumers' willingness to share personal preferences with brands, identifies key barriers and trust drivers, and quantifies the incentive thresholds needed to increase opt-in rates. Ideal for marketing, CRM, and privacy strategy teams.

잠재 구매자가 인식하는 리스크, 충족되지 않은 니즈, 주요 장벽을 파악하여 메시징 전략과 전환 최적화에 활용합니다.

Pretest ad concepts by measuring unaided message recall, emotional appeal, clarity, personal relevance, and behavioral intent. Designed for researchers and marketers evaluating creative executions before launch.

Map your brand's personality on classic semantic differential scales — traditional vs. innovative, corporate vs. human, premium vs. affordable — and compare against a competitor. The AI interviewer chases the associations behind the ratings, so you learn where the perception comes from.

고객과 잠재 고객이 실제로 회사의 마케팅을 어떻게 경험하는지를 측정합니다 — 어떤 채널이 효과적인지, 메시지가 명확하고 차별화되어 있는지, 브랜드의 특성이 어떻게 전달되는지를 파악합니다. AI 후속 인터뷰는 숫자에서 멈추지 않고 명확성 및 차별성 점수 뒤에 있는 '이유'를 파고듭니다.

일련의 로고 또는 시각적 아이덴티티 옵션이 인지도, 브랜드 적합성, 감정적 톤, 그리고 일대일 선호도 측면에서 어떻게 평가받는지 테스트합니다. 로고 후보군을 비교하거나 리디자인을 평가하는 브랜드 및 마케팅 팀을 위해 제작되었으며, 단순히 순위를 기록하는 것을 넘어 우승 선택을 이끈 구체적인 시각적 단서를 파고드는 AI 후속 질문을 포함합니다.

Measures unaided message recall, channel exposure, and message resonance among entrepreneurs and small-business professionals who encountered software marketing in the past four weeks. Use this to identify which channels drive the strongest awareness and behavioral intent.

Measures unaided and aided ad recall, creative reactions, brand perception shifts, and purchase intent following ad exposure. Designed for marketing researchers evaluating campaign performance across channels.

Tests how believable, relevant, and differentiating your candidate marketing claims are, using a best-worst trade-off to force priority among competing lines and an AI follow-up that digs into why the top claim landed or fell flat. Built for brand, product marketing, and comms teams validating messaging before a campaign launch.

Measures consumer comfort with personalized content, identifies privacy boundaries and data-sharing thresholds, and pinpoints messaging frequency limits to help marketing teams calibrate personalization strategies without triggering fatigue or backlash.

Evaluates and compares candidate brand names on memorability, distinctiveness, and category appropriateness to identify the strongest option for a product or service launch.

Reconstructs the full journey behind a considered purchase — how customers first discovered the product, which sources shaped their decision, what nearly stopped them, and how confident they feel now. An AI follow-up rebuilds the actual sequence of events around the moment of hesitation, not just the tidy summary customers give afterward.

Paste your landing page copy, ad, or email and see exactly which phrases pull people in and which lose them: respondents highlight the words that resonate and the words that create doubt, then an AI interviewer probes why. Sharper than a star rating on the whole block.

기업이 자사 브랜드를 차별화하는 요소를 얼마나 명확하게 표현할 수 있는지, 그 아이덴티티가 모든 접점에서 얼마나 일관되게 느껴지는지, 그리고 리브랜딩 또는 리프레시를 어디에 가장 먼저 집중해야 하는지를 평가합니다. 프로젝트를 시작하는 브랜드 컨설턴트와 마케팅 담당자를 위해 설계되었습니다. AI 후속 인터뷰는 차별화가 무너지는 정확한 순간을 파고들어, 모호한 브랜드 이야기 대신 구체적인 사례를 이끌어냅니다.

Evaluates an organization's Marketing Mix Modeling maturity across data foundations, governance practices, validation methods, and resourcing. Designed for marketing, analytics, and media professionals involved in or planning MMM initiatives.

Tracks where prospects and past buyers stand in the path from awareness to purchase, what drives or blocks that decision, and how price perceptions factor in — with an AI follow-up that reconstructs the specific moment someone almost bought (or almost switched away) instead of relying on generic attitude ratings.

Tests a single ad — video, print, or social creative — for clarity, appeal, relevance, and purchase impact before it goes live. An AI follow-up interview digs into the specific moment respondents got confused, bored, or excited, surfacing the 'why' behind the ratings so creative teams know exactly what to cut, keep, or clarify.

Explores how comfortable customers are when brands reshare their photos, tags, reviews, or comments in marketing — and what would make them more willing to say yes. Built for marketing, social, and legal teams shaping user-generated-content and permission policies, with an AI follow-up that digs into the specific moment someone felt uneasy or declined.

Measures perceived product value, identifies conversion blockers, and assesses upgrade intent among free trial users to inform retention and conversion optimization strategies.

Measures marketing professionals' confidence in identity resolution accuracy, validation practices, and vendor evaluation criteria. Designed for B2B research targeting practitioners and decision-makers responsible for customer identity strategy.