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⚙ Marketing automation & AI

Agentic ROI measurement

에이전트 성과 측정

Measure agent outcomes beyond the number of things generated.

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<div class="roi"><div class="label">ILLUSTRATIVE COMPARISON</div><div class="metric"><b>REVIEW TIME</b><div><span class="before">BEFORE · 6h</span><span class="after">WITH AGENT · 2h</span></div></div><div class="result">CHECK NEXT → CONVERSION <strong>?</strong></div></div>
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.roi{width:min(86%,520px);font:900 clamp(10px,max(3.7vmin,1vw),16px)/1.1 sans-serif}.label{color:var(--accent);letter-spacing:.08em;font-size:max(10px,1vw,.75em);margin-bottom:clamp(12px,3vmin,24px)}.metric{display:grid;gap:clamp(8px,2vmin,16px)}.metric>div{display:grid;gap:clamp(7px,1.8vmin,14px)}.metric span{display:block;white-space:nowrap;overflow:hidden;background:var(--fg);color:var(--bg);padding:clamp(8px,1.7vmin,15px)}.metric .before{width:100%}.metric .after{width:42%;min-width:140px;background:var(--accent);animation:shorten 3s infinite}.result{display:flex;justify-content:space-between;margin-top:clamp(12px,3vmin,25px);border-top:2px solid var(--line);padding-top:clamp(8px,2vmin,15px);color:var(--muted)}.result strong{color:var(--accent);font-size:1.6em}@keyframes shorten{0%,15%,100%{width:100%}40%,80%{width:42%}}
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AI content supply chainAI 콘텐츠 공급망

Connect planning, production, approval, delivery, and learning in one content flow.

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Context as a service맥락 서비스

Provide shared customer, product, and brand context to apps and agents.

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Composable martech stack조합형 마테크 스택

Connect replaceable apps and agents around a shared data layer.

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Cross-product marketing advisor제품 간 마케팅 어드바이저

Bring ad, analytics, and product signals into one advisory workflow.

Agentic ROI measurement asks whether AI improves work and business outcomes, not just how many assets it creates. Adobe's 2026 report notes the gap between adoption and measurable impact.

The demo compares before-and-after approval time and a conversion measure instead of output count. Its numbers are illustrative, not evidence of actual lift.

Seasonality or campaign quality can make AI appear responsible for a change. Set a comparison baseline and time window first.

When to use

Use it when reporting AI adoption, separating production volume from outcomes.

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