An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
AYA
€159.20Starting price
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About AYA
AYA is a web-based AI consumer insights platform designed for marketers, UX/UI designers, agencies, and product teams seeking rapid feedback from simulated target audiences. The platform enables users to define and target specific audience segments using detailed profiles derived from real-world research. It facilitates conversational research through AI digital twins that mimic consumer responses, providing qualitative insights aligned with real behavior. AYA supports multiple research formats, including virtual focus groups for collective feedback, one-on-one interviews for deeper insights, and creative testing for concepts, designs, ads, messages, and campaigns. The tool generates outputs such as detailed reports, sentiment analysis, interactive dashboards, data visualizations, engagement tracking, real-time notifications, and survey or poll management. It serves as an alternative to traditional consumer research workflows and some marketing analytics tools, offering faster directional insights before launch.
Key features
- Audience definition and targeting by key traits
- Conversational research with AI digital twins
- Virtual focus groups and one-on-one interviews
- Creative testing for concepts, designs, and campaigns
- Detailed reports and sentiment analysis
- Interactive dashboards and data visualization
- Engagement tracking and real-time notifications
- Survey and poll management
Use cases
- Validating marketing concepts and ad creatives
- Gathering UX feedback on product designs
- Testing messaging and campaign strategies
Pros
- Uses interview-grounded Human Digital Twins for realistic consumer simulations
- Enables fast directional insights for early-stage validation and decision-making
- Supports structured research workflows like concept testing, ad evaluation, and focus groups
- Designed for repeatable, hypothesis-driven research before investing heavily
- Provides clear guidance on when human validation is still required
Cons
- Outputs are directional and not guaranteed predictions for high-stakes decisions
- Requires upfront definition of audience segments and research objectives
- May not fully replace traditional human research for regulated or complex categories
- Dependent on the quality and relevance of the underlying interview data for Digital Twins
Frequently asked questions about AYA
What is AYA?
AYA is an audience research platform that uses interview-grounded Human Digital Twins to help teams test ideas, messages, creative, campaigns, and product decisions through structured questions and modeled responses.
Is AYA a replacement for human research?
AYA is best used for fast directional learning, prioritization, and hypothesis testing before or alongside conventional research, rather than replacing human research entirely.
Who should use AYA?
AYA is designed for founders, marketers, product teams, agencies, and research teams that need quick, structured audience insights to inform early-stage decisions and validate concepts.
How does AYA generate its insights?
AYA uses Human Digital Twins grounded in recorded interviews to model audience reactions, objections, motivators, language fit, and next decisions based on structured questions.
What types of research can be conducted with AYA?
Common workflows include concept testing, ad and creative evaluation, focus groups, one-to-one interviews, audience snapshots, and brand evaluation.
How should AYA outputs be interpreted?
AYA outputs are designed for fast directional learning and hypothesis generation, not guaranteed predictions, and should be paired with human validation for high-stakes decisions.
