echotest: A Wind Tunnel for Your Market Decisions

How a Simulation Runs

You describe your product, pricing, and target market — no survey design required. echotest then constructs an audience by sampling from a library of 2.5 million personas grounded in UN population data, World Bank economic indicators, national census figures, and cultural research across 195 countries.

Each persona reacts to your offer independently, then reconsiders after seeing peer reactions — mimicking the way real consumers revise opinions through social influence. The output is an interactive report with charts, segment breakdowns, competitive analysis, top objections with demographic attribution, and a verdict specific enough to act on: "42% convert at $9.99 — drops to 28% at $14.99."

Neighborhoods, Not Country Averages

A "UAE consumer" doesn't exist. A resident of Palm Jumeirah and a merchant in Deira live in the same city and in different economic worlds — a country-average panel folds them into one person and gets you nowhere. In major markets like Dubai, Tokyo, Mumbai, London, New York, and Riyadh, echotest models neighborhood-level demographics so that socioeconomic variation actually shows up in your results.

Math Decides, AI Explains

A design decision worth understanding: purchase outcomes in echotest are not decided by an AI's mood. Behavioral formulas weighing satisfaction, price sensitivity, competitor awareness, and tenure determine what each persona does; the AI's job is to generate the culturally grounded explanation of why. No real user data is collected or used — every persona is a statistical construct.

Every result ships with a confidence range and a reliability grade from A (500+ personas in the relevant panel) down to C. And the platform learns: when you log real campaign outcomes, predictions are compared against actuals and the model recalibrates for your specific market and category. After 7 verified outcomes in a bucket, confidence reaches "high" status.

The 3-Year Lifecycle Engine

Beyond single-moment reactions, echotest can run up to 250,000 simulated customers through a complete funnel for up to 36 months — tracking quarter-by-quarter MRR, churn, satisfaction, and competitive responses. You can gate features behind paywalls, schedule seasonal campaigns, set conditional rules like "if churn exceeds 8%, trigger a retention offer," and watch a competitor's price drop ripple through your retention curve before it happens in reality.

• Pricing optimization — find the revenue peak across price points, not just the conversion rate at one
• Campaign and content testing — gauge sentiment on ads and messaging with segment-level feedback
• Market entry planning — model a full 3-year trajectory across awareness, signup, retention, and referral
• Feature gating — measure conversion lift against churn risk before you move the paywall

What It Replaces — and What It Doesn't

Traditional research — focus groups plus surveys — typically costs $68K–$240K, takes 2–3 months, covers 200–500 respondents in 1–3 markets, and ends in a static PDF with a verdict like "customers might like it." echotest delivers specific, confidence-graded predictions across as many markets as you want, the same afternoon, from $499/month or $1,500 per report at the time of writing.

echotest is also honest about its limits: products fail on timing, funding, and execution too, and no simulation can model those. It tests one thing rigorously — whether the market wants what you're building, at your price. A formal validation study is underway, with results to be published once the data is earned.