Market Research

Message & Copy Highlight Test

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.

이 템플릿 사용하기 템플릿 더 둘러보기

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 9개 · 약 6분

Q01

메시지

You'll read a short piece of marketing copy and mark the exact words that work on you — and the ones that don't. Your responses are completely confidential and anonymized. Then a couple of quick questions. About 4 minutes.

Q02

텍스트 하이라이트필수

Read this copy, then highlight the phrases that make you MORE interested and the phrases that create doubt or confusion.

Meet the platform that turns your questions into conversations. Describe your research goal in plain language and get a complete, ready-to-launch study in seconds — with an AI interviewer that asks sm…

Q03

의견 척도필수

After reading, how interested are you in learning more about this product?

척도: 1 – 7

최소:Not interested at all최대:Extremely interested

Q04

의견 척도필수

How believable are the claims in this copy?

척도: 1 – 7

최소:Not at all believable최대:Completely believable

Q05

의견 척도필수

How different does this sound from other products you've seen advertised?

척도: 1 – 7

최소:Sounds like everything else최대:Clearly different

Q06

단문형필수

In your own words, what is this product promising you?

Q07

객관식필수

Which claim would you most want proof of before believing it?

That setup really takes seconds
That AI follow-ups are actually smart
That low-quality answers get caught
That the auto-written report is trustworthy

Q08

AI 인터뷰

Probe the highlights: for their most positive highlight, what specifically it promised them and what they pictured; for their most negative highlight, whether the problem is disbelief, confusion, or irrelevance; and what one sentence is missing from the copy that would have convinced them. Compare what they said the product promises against what the copy intended.

Q09

메시지

Done — thanks! Your highlights combine with everyone else's into a heat-mapped version of the copy, phrase by phrase.

포함된 기능

AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

Phrase-level highlighting shows exactly which words pull readers in and which create doubt — sharper than rating the whole block
Believability, differentiation, and interest scales cover the classic copy-test measures alongside the highlights
A comprehension check (what is this promising you?) catches copy that's liked but misunderstood
The AI interviewer probes the highlighted phrases themselves: disbelief, confusion, or irrelevance

SurveyMonkey

Ad/Copy Testing Survey Template

Expert-certified, methodologist-designed template used 3,000+ times to test ad creatives and messaging before a campaign launches. Structured around a handful of proven purchase-funnel questions (believability, relevance, differentiation, purchase intent) and paired with SurveyMonkey's A/B testing feature to compare multiple ad versions. Strong on distribution and built-in dashboards but relies on fixed closed-ended scales rather than probing why copy resonates.

잘하는 점

Uses battle-tested copy-evaluation dimensions: believability, relevance to wants/needs, differentiation from existing ads, and likelihood to buy
Explicit A/B testing workflow for comparing multiple ad or message versions head-to-head
Multiple distribution channels built in (email, website, SMS, social, QR code) plus automatic dashboards, filters, and text analysis
Positioned as expert-certified with an optional consumer-panel service for sourcing respondents

아쉬운 점

Static rating-scale questions with no adaptive follow-up to ask a respondent why a specific phrase landed or fell flat
No native text-highlight question to mark which exact words/phrases in the ad resonate or confuse
A/B comparison is manual side-by-side; no automatically generated narrative report explaining which message won and why
Methodology and question logic are packaged as a black box rather than an editable, transparent prompt

SurveyMonkey

Messaging/Claims Testing Survey Template

Companion template focused on product descriptions, packaging claims, and marketing collateral rather than full ad creatives. Tests whether customers like the message, find the claim unique and clear, and are influenced to purchase, again leaning on the A/B testing feature. Good coverage of clarity and uniqueness dimensions but purely quantitative and non-adaptive.

잘하는 점

Isolates messaging/claim dimensions distinct from ad creative: liking, uniqueness of the claim, clarity, and purchase influence
Explicitly built for packaging claims, website messaging, and collateral before production
Works with the A/B testing feature to compare multiple messaging versions
Expert-certified with an add-on service offering consumer panels and AI-powered insights

아쉬운 점

No adaptive AI follow-up to dig into an unclear or unbelievable claim in the moment
Clarity is a self-reported scale, not a text-highlight of the confusing words themselves
No transparent, editable methodology prompt behind the certified questions
Auto-analysis is dashboard/filter based rather than a written report interpreting which claim to run with

SurveySparrow

Ad Copy Testing Survey Template

A fielding-ready ad-copy testing survey for gathering message feedback and optimizing ad performance. Covers the standard rating measures; feedback stays at the whole-ad level rather than pinpointing which phrases work.

잘하는 점

Ready-made copy-testing structure aimed at campaign optimization
Chat-style survey experience with multi-channel distribution
Recurring surveys support pre/post campaign comparison

아쉬운 점

Whole-message ratings only — no phrase-level highlighting of what resonates or repels
No AI probing of why a claim failed (disbelief vs. confusion vs. irrelevance)
No built-in comprehension check of what readers think the copy promises

자주 묻는 질문