마케팅·성장

Identifies which topics, formats, and channels your audience actually wants more of versus what you're currently producing. Combines trade-off methods like MaxDiff and constant-sum allocation with an AI follow-up that reconstructs a real content moment — what someone consumed, why they stopped or finished it, and what's missing.

Measures how well your website or marketing chatbot resolves visitor questions, builds trust, and moves people toward a purchase or signup. An AI follow-up interview reconstructs the respondent's most recent chatbot conversation in detail, surfacing exactly where it helped or broke down. Built for marketing and CX teams evaluating a live chatbot deployment.

Gathers feedback from your followers on which platforms they use, what content they value, and whether your social presence influences real purchase decisions. An AI follow-up interview digs into the specific post or content type that stuck with them and why, going beyond generic 'I like your posts' answers.

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.

Tracks unaided and aided awareness of a specific ad campaign, where people saw it, what stuck, and whether it moved them to act — for brand and media teams running always-on pulse checks. An AI follow-up interview digs into what respondents actually remember and why, surfacing the story behind the recall numbers.

A self-assessment for marketers, founders, and agency teams to check how complete, resourced, and confidence-inspiring their current marketing plan actually is — covering goals, audience, budget, channels, and measurement. The AI follow-up interview digs into whichever plan component the respondent flags as weakest, uncovering the real blocker instead of a generic 'needs work' answer.

Tracks unaided and aided awareness, consideration, and perceived positioning of your brand versus named competitors among B2B buyers and influencers. Includes a best-worst trade-off on what actually drives vendor choice, plus an AI follow-up that unpacks the reasoning behind recommendation scores. Built to run quarterly for longitudinal tracking.

Tracks how your brand is remembered, perceived, and chosen versus competitors — awareness, attribute ratings, and recommendation likelihood — then uses an AI follow-up to uncover the real reasons behind each respondent's recommendation score. Built for marketing teams running quarterly or annual brand health checks.

Tracks the full brand funnel — unaided and aided awareness, consideration, trial, usage, and recommendation — benchmarked against named competitors. An AI follow-up interview digs into where respondents actually drop out of the funnel and why, going beyond the numbers to the specific moment consideration stalled. Built for brand and marketing teams running quarterly brand health trackers.

Explores how parents currently manage their child's email account — what it's used for, what worries them most, and which safety features they'd actually value. An AI follow-up interview digs into the real story behind a recent scare or close call, surfacing details a checklist question can't capture. Built for teams designing kid-safe email or parental-control products.

Screens applicants for a brand ambassador program by capturing their platforms, audience size, content style, and motivation for joining — then uses an AI follow-up interview to probe authentic brand fit and how they'd actually talk about the product, rather than just what they claim on a form. Built for marketing and influencer teams vetting candidates at scale.

Captures gut-level reactions to a logo (or set of logo options): first impression, word associations, attribute fit, and relative preference — plus an AI follow-up that digs into which specific design element (color, shape, type, symbol) is actually driving the reaction. Built for brand, design, and marketing teams validating a new or refreshed mark before launch.

Measures whether a specific ad gets noticed, understood, and acted on — covering recall, message takeaway, creative appeal, and purchase intent — with an AI follow-up that digs into the real reasons behind stated purchase intent instead of taking the number at face value. Built for marketers testing a campaign, creative concept, or media placement.

Find out why visitors came, whether they got it done, and what nearly stopped them. A short intercept-style survey with task success, effort, and trust measures — plus an AI follow-up that turns 'couldn't find it' into the exact page and word they were looking for.

Tracks how your brand is perceived on key attributes like trust, quality, and value, and identifies which of those attributes actually drive choice through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the respondent's lowest-rated attribute. Built for brand and marketing teams running recurring pulse checks.

소셜 게시물, 인플루언서 협업, 이메일, 매장 내 디스플레이 등 패션 마케팅 콘텐츠가 단순한 브랜드 회상을 넘어 실제로 발견과 구매 결정을 어떻게 형성하는지 측정합니다. 콘텐츠 유형에 대한 최선-최악 트레이드오프와, 소비자가 구매를 결정한(혹은 하지 않은) 실제 순간을 재구성하는 AI 후속 인터뷰가 포함되어 있습니다.

수신자가 엽서, 카탈로그, 편지 등 다이렉트 메일을 디지털 채널과 비교하여 실제로 어떻게 인지하고 읽고 행동하는지를 측정하며, 반응을 이끄는 요인에 대한 best-worst 과제와 특정 우편물이 누군가의 우편함에 도착한 후 무슨 일이 일어났는지를 재구성하는 AI 후속 질문을 포함합니다. 캠페인 성과를 평가하는 마케팅 팀과 다이렉트 메일 대행사를 위해 설계되었습니다.

고객의 마음속에서 귀사의 브랜드가 실제로 어떻게 자리 잡고 있는지를 파악합니다 — 비보조 회상, 보조 인지, 친숙도, 이미지 속성, 고려도, 추천 의향 — 여기에 해당 카테고리에서 선택을 이끄는 요인에 대한 최선-최악 트레이드오프까지 포함합니다. AI 후속 인터뷰는 낮은 점수나 불확실한 고려도를 단순한 숫자로 남겨두는 대신, 그 이면의 이유를 깊이 있게 파고듭니다. 시간의 흐름에 따라 브랜드 건강도를 추적하는 브랜드 및 마케팅 팀을 위해 설계되었습니다.

Maps how people actually spend time on social platforms, which content formats earn a follow, and how that behavior translates into purchases — with an AI follow-up interview that reconstructs a real recent purchase decision instead of relying on self-reported influence scores. Built for marketing and growth teams sizing up social strategy.

Captures why donors gave to a specific fundraising or political campaign, how smooth the giving experience felt, and how likely they are to give again — with an AI follow-up that digs into the real reasons behind a donor's likelihood-to-repeat score instead of a generic satisfaction rating. Built for nonprofits, campaigns, and cause marketers running donation drives.