마케팅·성장

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.

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.

Structured stakeholder or customer feedback on a design, mockup, or creative asset: first impressions, a click on what draws attention, ratings against the brief, and file upload for marked-up versions. The AI interviewer converts 'I just don't like it' into usable direction.

Where do people click first when given a task on your design? First-click success is one of the strongest predictors of task completion. Upload your screenshot, set the task, and let the AI interviewer ask what they expected to happen — turning a click map into a usability diagnosis.

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.

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

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

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.

멀티터치 어트리뷰션 결과물에 대한 마케터의 신뢰도를 측정하고, 인식된 채널 편향을 파악합니다. 예산 및 최적화 의사결정에 필요한 정보를 얻기 위해 어트리뷰션 데이터를 활용하는 마케팅, 애널리틱스, 미디어 전문가를 대상으로 설계되었습니다.

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.

이커머스 팀이 캠페인 목표 설정, 기여 분석 방법, 도구 효과성, 부서 간 정렬 수준을 평가하기 위한 90일 진단 설문으로, ROAS와 CAC 측정 및 리포팅 워크플로의 격차를 드러냅니다.

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.

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

Assesses email marketers' authentication setup, list hygiene, monitoring habits, and inbox-placement confidence to identify deliverability gaps and training needs.

Measures marketing professionals' awareness, trust, perceived accuracy, and adoption barriers related to data clean rooms for measurement. Ideal for ad tech vendors, industry bodies, or research teams benchmarking clean room sentiment.

Assesses an organization's preparedness for third-party cookie deprecation and signal loss across paid media channels, covering current measurement maturity, privacy-preserving toolkit adoption, investment priorities, and organizational barriers. Designed for marketing, analytics, and data science leaders.

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.

Evaluates two app store listing variants on clarity, appeal, trust, and conversion intent to identify the higher-performing concept. Designed for respondents who have recently browsed or installed apps.

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.

인터넷 이용자를 대상으로 광고 방해성 인식, 관련성, 허용 한계, 선호하는 광고 제어 방식, 광고 없는 경험에 대한 지불 의사를 측정하여 UX 및 수익화 전략 수립에 활용합니다.