Explore Audience Hypotheses
Explore which segments the model scores more highly, possible reasons, and hypotheses to validate before targeting.
Audience Affinity Results
Spray and Pray Doesn't Scale
Most marketing teams target broad audiences and hope something sticks. The result? Wasted spend, low conversion rates, and no clear path forward.
- Targeting "everyone" means resonating with no one
- Demographic targeting alone misses motivation
- Expensive lookalike audiences that don't convert
- No insight into why some segments convert and others don't
- Months of testing just to find product-market fit
Audience signals to validate
Audience Affinity Map
Explore Segment Fit Before You Spend
AudiAInce® compares model-generated reactions from a relevant AI audience panel selected from 34 available personas to identify segments for further validation.
- Compare responses from a relevant AI audience panel selected from 34 available personas
- See purchase-intent scores with model-simulation ranges
- Understand motivations, objections, and triggers
- Review lower-scoring audience hypotheses before targeting or exclusion decisions
- Export segments to Meta, Google, LinkedIn, TikTok
- Explore PMF hypotheses on demand
How It Works
From product description to audience map in minutes - not months
Describe Your Product
Paste your landing page, describe your value proposition, or share your positioning. Include price point and any audience hypotheses you want to test.
AI Personas Evaluate Your Product
Nineteen structured AI audience archetypes analyze your offering using defined demographic, behavioral, and psychographic attributes.
Get Your Ranked Audience Map
Review which segments receive higher model scores, possible objections, and hypotheses to investigate with real customers.
Activate and Target
Export segment definitions to ad platforms for controlled testing, or use model-generated themes to draft messaging hypotheses.
Audience discovery
Best-fit segments
Recommended: Lead with faster evidence, then tailor proof points to budget sensitivity.
Meet your research panel
Nineteen structured AI audience archetypes evaluate your product from distinct model perspectives.
What You Get
Deep audience intelligence, not just demographics
Purchase Intent Scores
Compare model-generated purchase-intent scores by segment; these rankings do not predict who will buy.
Motivation Mapping
Understand what drives each segment - values, pain points, aspirations, and decision triggers.
Objection Analysis
Know the barriers and hesitations for each segment so you can address them proactively.
Skip Recommendations
Screen for segments that receive lower model scores, then validate before changing targeting or spend.
Message Themes
Get specific messaging angles that resonate with your best-fit audiences.
Platform Exports
Export audience definitions to Meta, Google, LinkedIn, TikTok and more.
Skip the Guesswork
Traditional research is slow and expensive. Blind testing burns cash. There's a better way.
Traditional Research
- 4-8 weeks to recruit and run focus groups
- $15,000-50,000 for a proper study
- Small sample sizes (8-12 people)
- Groupthink skews results
- No human-population confidence intervals
- Outdated by the time you get results
A/B Testing in Market
- Live-test timing depends on traffic, effect size, and design
- $5,000-20,000 in wasted ad spend
- Only tests what you already built
- Can't test segments you're not targeting
- Expensive way to learn what doesn't work
- By the time you know, budget is gone
AudiAInce® Discovery
- 15 minutes from start to results
- From $30 per discovery session
- 41 structured AI archetypes evaluated
- Monte Carlo model-simulation ranges
- Test before you build or spend
- Iterate and re-test instantly
Built for Real Decisions
Teams use audience discovery at every stage of the product and marketing lifecycle
Pre-Launch Validation
Before you build, explore who may respond. Use structured AI archetypes to identify segments and product-market-fit hypotheses for real-customer validation.
"Will busy parents actually pay $29/month for this?"Campaign Targeting
Compare model-intent signals by segment and export audience hypotheses to Meta, Google, and LinkedIn for controlled validation.
"Which 3 segments should get 80% of our Q1 budget?"Market Expansion
Entering a new market or demographic? Test your positioning with unfamiliar segments before committing resources to expansion.
"Will our B2B product resonate with mid-market buyers?"Repositioning
When growth stalls, discover untapped segments. Find audiences you've been missing and messaging angles that unlock new demand.
"Our core audience is saturated. Who else would buy?"Structured
Nineteen structured archetypes with defined demographic, behavioral, and psychographic attributes
Transparent
Full methodology export with reasoning chains - not a black box
Directional
Model-generated hypotheses to validate with real customers and market evidence
Find the Customers Who Actually Want You
Explore possible segment fit and prioritize audience hypotheses for live validation.