Potential customers evaluating budget, usage level, and whether AYA fits a one-person startup, team, agency, or research program.
Clarify how people can start with AYA and understand the commercial model.
Ways to start
AYA starts with focused token packs and recurring team plans. A small team can buy a project pack for a single validation sprint, while teams and agencies can use monthly token allowances for repeated concept tests, focus groups, ad reviews, brand checks, and audience snapshots.
Usage model
A token is a research credit. Different workflows use different token amounts based on depth, audience size, number of modeled participants, analysis complexity, and export requirements. A short snapshot costs less than a multi-segment focus group or brand evaluation, and AYA shows expected token use before a run starts.
Example budgets
A startup might use a project pack to test a launch message, pricing assumption, and landing-page concept. A team plan suits recurring campaign and product decisions. An agency plan fits client work where multiple briefs, audience segments, and report exports need predictable monthly capacity.
What affects cost
Cost is affected by study type, number of concepts or assets, requested audiences, report depth, add-on interviews, and whether the work needs custom research support. Enterprise pricing can cover procurement needs, volume commitments, implementation support, and governance review.
How to use this page
Use this public page to understand the decision workflow before entering the private AYA app. Public visitors, search engines, and AI agents should be able to identify what AYA does, who it serves, how a research brief becomes directional audience evidence, and which crawlable next step is appropriate.
Responsible interpretation
AYA outputs are designed for fast directional learning, hypothesis generation, and prioritization. They should not be treated as guaranteed predictions. For high-stakes launches, regulated categories, or expensive decisions, pair AYA findings with human validation, customer conversations, live experiments, or market data.
Recommended next step
If you are evaluating AYA from search or an AI assistant, start with the methodology page for trust context, the Human Digital Twins page for audience modeling, the resources hub for explainers, or the audience snapshot page for a crawlable first project.