Creative analytics and testing
Generate fashion photography, product visuals, and campaign assets, all guided by your brand DNA. Analyze creative performance and detect fatigue automatically.
Generate lifestyle shots for the summer collection...
Generate 3 lifestyle shots for the new summer collection using our brand style guide
From brand guide to production-ready assets
Define your style once. The agent generates consistent visuals for every product and collection, then tracks which creative formats drive results and flags when assets fatigue.
On-brand generation
Define style guides, color palettes, and composition rules. The agent produces fashion photography, flat lays, and lifestyle shots that stay consistent across seasons and collections.
Fatigue detection
Track when creative assets lose effectiveness. The agent monitors CTR decay, frequency thresholds, and audience overlap, and flags when it's time to refresh.
Format analysis
See which creative formats, aspect ratios, and visual styles perform best by channel, audience, and market. Data-driven creative decisions, not gut feelings.
What's on your mind today?
Encode your creative process as a reusable skill
Product shoot preparation, variant generation, brand DNA analysis, and A/B test setup: encode any creative workflow as a skill the agent runs on demand. Repeatable, consistent, and connected to your performance data.
# Fashion Photography skill
style = dema.brand.analyze_dna()
concepts = dema.creative.shot_concepts(
product="beryl_blouse",
style=style,
)
shots = concepts.generate(n=3)
# 3 shots generated | Brand consistency: 94%
Creative driven by real product data
The agent knows which products have low sell-through, which SKUs are under-marketed, and where margins are strongest. It generates creative for the products that actually need it, not the ones that already sell themselves. Every brief is informed by inventory forecasts, ROAS, and margin data in real time.
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Creative generation is one of many skills the agent can execute. Explore the full agent platform.
AI Agent
The reasoning engine behind creative generation, analytics, and automation. One agent for every commerce question.
Marketing optimization
See which campaigns and creative formats drive profit, not just clicks. Connect creative performance to real margins.
Trusted by category leaders
Frequently asked questions
Creative testing is the practice of running ad creatives against each other under controlled conditions so you can tell which ones actually perform, rather than which ones happened to run during a good week. Done properly it isolates the creative variable — same audience, same budget logic, same window — and measures the result on profit rather than surface engagement.
Fatigue shows up as declining performance at stable spend and frequency creeping up while conversion rate falls. The trap is that blended ROAS often hides it, because a strong new asset masks several decaying ones. Dema tracks performance per asset over its lifetime, so the decay is visible at the level where you can act on it — swapping one creative rather than pausing a whole campaign.
A clear hypothesis per test, one variable at a time, a decision rule agreed before the test runs, and a minimum sample defined up front. The part most teams skip is the decision rule: without one, results get interpreted after the fact to support whatever was already planned.
ROAS tells you revenue per unit of spend, which means two creatives can post identical ROAS while one sells high-margin products customers keep and the other sells low-margin products that come back. Dema evaluates creative on contribution margin, so the winner is the asset that actually made money.
Yes. Dema can generate on-brand assets guided by your brand style and real product data, and analyse performance by format, asset and audience. The measurement side is what tells you which generated assets are worth scaling.