Panels take weeks and ad tests are expensive, yet brands still need confident decisions on compressed timelines. This short guide explains how synthetic personas and AI simulations give you faster, more directional reads—without sacrificing depth. Includes talking points to help your team or clients understand when and how to use AI alongside traditional research.
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What You’ll Learn
How researchers in apparel & fashion, food & beverage, and personal care are already using AI simulations to:
Spot what resonates across segments before going live
Validate messaging, offers, and pricing by persona or cohort
Strengthen CRM flows, Meta targeting, and LTOs with sharper insights
Plug simulations into existing qual, quant, and tracker workflows
Who It’s For
Corporate researchers supporting brand, innovation, or marketing
Agencies running concept tests, message validation, or ad refinement
Anyone who needs fast, actionable insight—before big spend or long fieldwork
Inside the Guide
Real-world use cases from 3 high-velocity categories
When and how to use simulations for directional reads
What to say when clients ask, “How can I use this data?”
How AI simulations fit into workflows like survey trimming, post-qual, Meta testing, and CRM
And more
What Clients Are Saying
Our first priority is testing naming for a couple new food products in new locations, and Jenny is exactly the kind of tool we need to move quickly and start learning.
Director or Brand Insights
National QSR Brand
We used Jenny to choose between scent options and name ideas for new products. Having market data behind our decisions gave us clarity and saved us from relying on internal opinions alone.
Marketing Manager
Personal Care Brand
It’s hard to reengage prospects who’ve never bought—especially when we don’t know what they’re interested in. Jenny’s ability to simulate these audiences without relying on past purchase behavior is really interesting.
