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Market Research Simulator

Market Research Simulator

For this O, AI agents will take on the personas for your ICPs generating simulated market feedback.

Market Research Simulator
Service:
ICP Simulation
Result:
Annual Growth

Market Research Simulator

Nail your customer before you build your product.
This tool operates as a generative persona engine that reverse-engineers your Ideal Customer Profile (ICP) using structured market signals and inferred psychographics. It aggregates data from real-world behaviors, competitor audiences, and demand trends to generate deeply detailed, high-resolution ICPs.

What it does:

  • Identifies and clusters potential customer segments based on intent signals
  • Creates data-informed personas with pain points, decision factors, and buyer journeys
  • Cross-validates with competitive positioning and unmet needs in the space

Outcome: A crystal-clear understanding of who you're solving for—and how to reach them.

Market Research Simulator
Market Research Simulator

1. ICP Persona Booklet

  • Profiles of the top 5–10 high-fidelity personas synthesized from the 100-user simulation
  • Includes: Demographics, psychographics, pain points, goals, objections, and buying triggers
  • Visual customer journey maps for each key persona

2. Segment Distribution Report

  • Clustering of the 100 simulated users into meaningful customer segments
  • Segment size estimation (SOM/SAM overlap)
  • Comparison of segment viability: likelihood to buy, CAC, LTV, friction points

3. Simulated Reaction Matrix

  • Aggregated sentiment responses to product concepts, landing page copy, pricing tiers, and positioning statements
  • Quantified reactions (e.g., “84% responded positively to Feature X at Price Y”)
  • Heatmap of attention, excitement, confusion, and objection zones

4. Market Resonance Report

  • Language pattern analysis: what words and themes resonated most/least with the ICP
  • Emotion and trust signal breakdown across messaging variants
  • Suggested brand tone and vocabulary optimization

5. Product-Market Fit Scorecard

  • Weighted scoring of fit across all simulated users based on interest, intention, and conversion likelihood
  • PMF threshold benchmarking: how close your concept is to true product-market fit
  • Insights on which features or value props move the needle the most

6. Objection & Barrier Analysis

  • Common objections or friction points raised by ICPs
  • Root causes of hesitations (pricing, comprehension, need prioritization, etc.)
  • Recommendations for mitigation or reframing

7. Conversion Intent Likelihood Map

  • Simulated user funnel showing % at each stage: interest → engagement → intention → action
  • Drop-off points and why they occurred
  • Potential UX/positioning solutions to optimize flow

8. ICP Channel Affinity Report

  • Simulated data on where these personas are most likely to be reached (platforms, communities, publications)
  • Organic vs paid attention breakdown
  • Media preferences and influencer trust mapping

9. Validated Messaging Brief

  • A curated set of copy tested with the 100-user cohort, scored and ranked
  • Includes: tagline, hero sentence, call-to-action variants, email subject lines
  • Optional: competitor message comparisons

10. Strategic Recommendations Deck

  • Executive summary of key insights, opportunities, and strategic pivots
  • Visual dashboards with callouts from the 100-user simulation
  • Suggested GTM (go-to-market) sequencing based on ICP simulation