마케팅·성장

팔로워들이 브랜드의 소셜 미디어 커뮤니티(댓글, 답글, DM)에 참여할 때 얼마나 안전하고 존중받으며 괴롭힘이나 스팸으로부터 자유롭다고 느끼는지를 측정합니다. 단순한 감정 점수 이상을 필요로 하는 소셜 미디어 및 커뮤니티 관리자를 위해 만들어졌으며, AI 후속 인터뷰가 특정 안전 경험을 재구성하여 모더레이션에서 정확히 무엇을 개선해야 하는지 알려줍니다.

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.

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.

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.

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.

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.

Measures how subscribers actually read and value your newsletter — open habits, section-by-section ratings, and content priorities — with an AI follow-up that digs into the specific reasons behind promoter or detractor scores instead of generic satisfaction talk. Built for newsletter editors, content marketers, and community teams refining a recurring send.

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.

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.

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.

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.

고객이 ChatGPT나 Gemini 같은 AI 도구에 추천을 요청할 때 경쟁사 대비 자사 브랜드를 얼마나 자주, 얼마나 호의적으로 접하는지를 측정합니다. AI 후속 질문을 통해 최근 AI 기반 검색 이면의 실제 프롬프트, 답변, 구매 결정을 재구성합니다.

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.

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 whether subscribers actually open, skim, or read your newsletter, what content keeps them subscribed, their ideal send frequency, and what pushes them toward unsubscribing. The AI follow-up digs into the real moment a reader almost unsubscribed, not just the stated reason.

Captures how listeners actually consume your podcast — ideal episode length, topic preferences, ad tolerance, and what would push them to subscribe or share it — with an AI follow-up that digs into the real reason behind their loyalty score instead of a generic satisfaction number.

Measures whether a celebrity or influencer endorsement actually transfers credibility to a brand — covering perceived authenticity, trustworthiness, and purchase influence — with an AI follow-up that unpacks why the pairing does or doesn't feel believable to this specific respondent. Built for brand, marketing, and partnerships teams testing a specific spokesperson or creator campaign.

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.

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.

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.