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{{adobe-brand-intelligence-system}} Skill

Audience simulation

Understand how audiences may respond to content at any stage of creative development. Adobe Brand Intelligence uses synthetic audiences informed by first-party audience data to simulate interviews and guide creative decisions before content goes to market.

Anticipate audience response.

Understand how individual audience personas may respond to content using synthetic audiences built from your audience data.

Based on your audience data. Build personas from your previous market research and persona documentation.
Grounded in audience behavior. Use behavioral data to reflect customer actions such as purchases, adoption, and conversions.
Supplement with market intent. Factor in market signals, such as search and conversation trends about your brand (coming soon).

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Customize audience research workflows.

Customize simulations according to how you approach market research by specifying mode of testing, evaluation criteria, and granularity of audience feedback.

Flexible asset evaluation. Evaluate a single asset in detail or compare multiple assets to explore which may resonate more with simulated audiences.
Custom metrics. Choose the criteria that synthetic audiences use to evaluate content, including full-funnel measures like brand perception, message clarity, and purchase intent.
Segment-level analysis. Explore reactions at the persona, segment, or panel level to understand differences across audience types.

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Understand what drives audience reactions.

Explore what simulated audiences respond to and why, using summarized insights that connect reactions to messaging, creative choices, and brand signals.

Reaction drivers and rationale. Surface the reasons behind simulated audience responses through AI-generated interview quotes.
Quantitative and qualitative summaries. Combine metrics with detailed explanations to inform creative decisions.
Sentiment analysis. Explore audience feedback categorized by positive, negative, or neutral signals to help guide what to refine or test further.

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Refine campaign creative for your audience.

Guide campaign strategy.

Understand which core campaign messages may resonate with audiences and compare different positioning approaches.

Inform creative decisions.

Identify whether creative elements align with campaign objectives and which images and copy elements may resonate most with audiences.

Explore creative concepts.

Look into how creative wireframes or first cuts of hero assets are articulating key customer value and understand which concepts may be more memorable.

Refine campaign versioning.

Pinpoint how near-final assets can be refined to help meet key campaign objectives across audiences and channels.

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Learn more about Simulate in {{adobe-brand-intelligence-system}}.

Read our blog to learn how the Simulate skill in {{adobe-brand-intelligence-system}} uses synthetic audiences to simulate how audiences may respond, helping teams explore creative options and inform creative decisions before campaigns go live.

Learn more

Questions? We have answers.

What are synthetic audiences?

Synthetic audiences are modeled personas grounded in a company’s actual audience data and persona context. {{adobe-brand-intelligence-system}} uses them to simulate one-to-one interviews with audience segments, generating quantitative summaries and qualitative explanations of how people may respond to ideas, concepts, and assets.

How does a concept testing platform evaluate ideas before production?

A concept testing platform helps teams compare ideas before committing production time. {{brand-intelligence-system}} can simulate audience reactions to concepts, messaging, offers, naming, and early assets, using defined evaluation criteria and audience granularity to explore what may resonate and why.

How does creative testing with synthetic audiences work?

Creative testing with synthetic audiences combines measurable signals — such as sentiment or other selected metrics — with qualitative rationale. Teams can examine reactions at persona, segment, or panel level and use the findings to refine creative direction. The output is directional audience insight, not a guaranteed campaign result.

Are AI focus groups a replacement for traditional market research or focus groups?

No. AI focus groups are a fast, scalable complement to primary research, live interviews, or high-stakes validation — not a replacement for it. Synthetic audience simulations can help prioritize concepts and surface hypotheses, while research teams decide when real participants or additional evidence are required.

Can teams customize concept testing for different audience segments?

Yes. Teams can configure the testing mode, evaluation criteria, feedback granularity, and audience level — persona, segment, or panel. This makes concept testing more useful for enterprise decisions because stakeholders can compare reactions across defined audiences rather than relying on one blended score.

Does audience simulation predict CTR or conversion?

No. Audience simulation is intended to gauge sentiment, response, engagement, resonance, and the reasons behind reactions; it’s not a predictor of click-through rate or conversion. Use those outputs to inform creative decisions, then use live campaign measurement or experimentation for performance outcomes.

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Simulate audience response to creative content.

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Understand at each development stage how audiences may respond to creative using Adobe Brand Intelligence.

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2026-11-10

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Audience simulation

Anticipate audience response.

Customize audience research workflows.

Understand what drives audience reactions.