Marketing Atlas
한국어
% Conversion optimization

AI experiment ideation

AI 실험 가설 발굴

Turn behavior signals into hypotheses and filter weak ideas.

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<div class="ideas"><div class="signals"><span>FUNNEL DROP</span><span>REPEAT CLICKS</span></div><div class="arrows">↓　↓</div><div class="hypothesis">HYPOTHESIS <b>Clearer payment error → more retries</b></div><div class="weak">LOW EVIDENCE: Change button color</div></div>
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.ideas{width:min(83%,480px);font:800 clamp(10px,max(1.7vmin,1vw),14px)/1.25 sans-serif}.signals{display:flex;justify-content:space-between;gap:8px}.signals span{border:2px solid var(--fg);padding:clamp(5px,1.5vmin,12px);animation:signal 4s infinite}.signals span:last-child{animation-delay:.4s}.arrows{text-align:center;color:var(--accent);font-size:clamp(16px,4vmin,32px)}.hypothesis{border:2px solid var(--accent);padding:clamp(7px,2vmin,16px);color:var(--accent);animation:card 4s infinite}.hypothesis b{display:block;color:var(--fg);margin-top:4px}.weak{color:var(--muted);text-decoration:line-through;margin-top:9px;animation:weak 4s infinite}@keyframes signal{0%,10%{opacity:.25}25%,80%{opacity:1}100%{opacity:.25}}@keyframes card{0%,25%{transform:scale(.94);opacity:.4}45%,85%{transform:scale(1);opacity:1}100%{opacity:.4}}@keyframes weak{0%,45%{opacity:1}60%,90%{opacity:.35}100%{opacity:1}}
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Heatmap analysis클릭 히트맵 분석

Find click clusters and important elements that receive no attention.

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AI experiment qualityAI 실험 품질 관리

Separate the number of generated tests from validated learning.

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Agentic experimentation에이전트형 실험 운영

Connect behavioral signals, proposed changes, and outcome tracking.

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Generative personalization생성형 개인화

Compose copy and recommendation modules for the visitor context.

AI can generate many test ideas quickly. Ideas unconnected to observed user friction do little to clarify what the team will learn.

The demo combines funnel drop-off and repeated-click signals into one hypothesis card while an unsupported copy idea falls behind. A person checks the proposed mechanism and success metric.

State what will change, whose behavior should change, and why. AI suggestions start an investigation; they do not replace experimental results.

When to use

Use it to rank an experiment backlog by observed behavior evidence.

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