NEIGHBORHOOD, NOT COUNTRY AVERAGE
In our key markets we model individual neighborhoods — so the people in your panel match the streets your product actually sells on, not a country-wide average that hides them.
Two Dubai shoppers, side by side
Same country. Same city. Two completely different shoppers. A country-average panel folds them into one person — and gets you nowhere.
THE COST OF GETTING IT WRONG
Billions spent. Products killed. Careers ended. All because nobody asked the market before committing the budget.
Killed after 2 years
Pricing model and retention assumptions were wrong. Gamers didn’t want to pay full price for games they couldn’t own.
Shut down in 6 months
Assumed people wanted premium short-form video on mobile. They didn’t — especially not at $4.99/mo against free YouTube.
Discontinued in 1 year
Built around 3D gimmicks nobody asked for. No consumer testing on whether people would switch from iPhone/Android.
Bankrupt in 18 months
Unit economics at $9.99/mo were obviously unsustainable. A pricing simulation would have shown this in seconds.
Every one of these failures could have been caught in 60 seconds with the right simulation. The question isn't whether you can afford to test — it's whether you can afford not to.
THE OLD WAY vs. THE ECHOTEST WAY
Type anything you're about to launch. Watch how real people in your target market would react — in seconds.
HOW IT WORKS
Enter your product name, description, pricing, and target market. Pick a country. That’s it — no survey design, no recruitment.
Our engine samples from 2.5M personas — matching your market’s real demographics, income levels, cultural norms, and spending habits.
Each persona reacts independently, then reconsiders after seeing what others think. Multi-round deliberation surfaces real objections and converts.
Interactive charts, segment-by-segment breakdown, competitive analysis, and a concrete action playbook. Download as PDF or share with your team.
Whether you're testing a piece of content, a price, or a 3-year growth plan — we let you see how real people in your target market would react, before you commit a budget.
Press releases, ads, social posts
Show it to your target audience and hear what they actually think — in their own words, by segment.
Pricing, promos, launches
At this price, against this competitor — who buys, who hesitates, who walks away, and exactly why.
Market entry & growth plans
Walk people through awareness to signup to paying to staying to referring. See where you leak customers — and get the playbook to fix it.
LIFECYCLE SIMULATION ENGINE
Run up to 250,000 AI agents through your entire 3-year plan. Each agent independently decides to sign up, pay, churn, come back, or refer — while your competitors react and seasonal events shift the market. Quarter by quarter.
Product launches at $9.99/mo
“Early adopters convert fast. Awareness campaign reaches 68% of target segment.”
Offline mode moved behind paywall
“Churn spikes in 18-24 segment — they valued offline most. Satisfaction dips.”
Rival drops price to $7.99 + free trial
“Brand-loyal users stay. Price-sensitive segment bleeds to competitor. Win-back campaign needed.”
Seasonal promo + retention offer deployed
“Retention offer recovers 23% of churned users. Ramadan campaign drives 2x awareness in GCC.”
Market maturity reached
“Referral engine compounds. Penetration at 11.3% — ceiling analysis shows 15% achievable with tier 2 pricing.”
HOW IT LEARNS
When you ship a real campaign, you can feed the actual results back in. We compare what we predicted to what really happened, learn where we were off, and automatically correct for your specific market and category next time. The more you use it, the tighter it gets.
LIVE CALIBRATION LOOP
Each calibration bucket is keyed by (country, category, dampening_mode). After 7 verified outcomes, the SA × streaming bucket reaches high confidence and recommends pre-filled values for every future simulation.
You're not chatting with an AI. You're watching a statistically grounded slice of your real target market react to your product, in their own voice.
2.5 million personas built from UN, World Bank, and national census data across 195 countries. Each one matches a real slice of their country’s population. In our key markets we go further — modeling individual neighborhoods, so a Palm Jumeirah luxury buyer and a Deira shopkeeper come through as different audiences, not a Dubai average.
Every persona has income, age, spending habits, cultural norms, and personality traits — all grounded in real-world research, not made up on the fly.
A social influence map tracks who listens to whom, so you can see how an opinion cascades from an early critic to the broader market.
Each persona reacts on their own, then reconsiders after seeing what others in their group think — just like real people do.
Feed back the actual outcome of a campaign and the model corrects itself for your specific market. The more you use it, the sharper it gets.
Every result ships with a confidence range and a reliability grade so you know exactly how much to trust it. Feed your real results back — and the next prediction gets sharper. How the math works →
Every test is a prediction. Every real-world outcome is a lesson. The more you use it, the better it knows your market.
Women 25–34 reacted 30% more strongly than expected. Next time, we'll know.
WHAT YOU ACTUALLY GET
Every simulation produces a consulting-quality report with data-driven recommendations. Here's what a typical output looks like.
Strong positive sentiment across target segments. The $9.99 price point hits the sweet spot between value perception and conversion.
“Quarter 1 saw strong initial traction among early adopters (25-34, urban professionals), driven primarily by the free tier's perceived value. However, the conversion cliff at $14.99 suggests price sensitivity is the binding constraint — not product-market fit. The 31% who cited cost concerns were disproportionately concentrated in the 18-24 segment, which represents your highest-volume awareness channel but lowest conversion potential. Recommendation: hold the $9.99 price point and focus Q2 spend on the 25-44 professional segment where willingness-to-pay is 2.3x higher.”
See how the next 3 years could actually play out before you commit the budget. Find out whether price or competitors will sink the plan.
→ Know before you go
Find out if the lift in conversions is worth the churn spike — before you flip the switch.
→ Test the move, not the guess
Check whether your Ramadan push will build enough momentum to survive what the competition throws back at you a quarter later.
→ Pressure-test the calendar
Hand them a 15-page report grounded in real data — instead of another slide deck full of assumptions nobody questioned.
→ Swap assumptions for evidence
Spot the quarters where the plan breaks before the board asks. Put the budget on the segments that will actually convert.
→ Spend where it works
Watch 3 years of subscribers playing out — churn, referrals, slowing engagement, competitor moves — all compounding.
→ See where it breaks
| Traditional Research | Generic AI Tools | echotest | |
|---|---|---|---|
| What it answers | One question at a time | "What do people think of this?" | "If I actually execute this plan over 3 years, what happens?" |
| Time horizon | A single moment in time | A single moment in time | Up to 3 years, quarter by quarter |
| Competitor reactions | Not modelled | Not modelled | The competition reacts, too |
| How people decide | A static survey answer | A single AI yes/no | People react, hear each other out, and reconsider — like in real life |
| Market dynamics | Fixed sample | Fixed sample | New people enter, some churn, some refer — all playing out over time |
| What you get | A spreadsheet | A chat reply | A 15-page consulting-grade PDF with charts, recommendations, and confidence ranges |
SAMPLE REPORT
A full 12-month simulation of Spotify Premium entering Saudi Arabia — 4 quarters, 2,000 people in the panel, with campaigns, churn analysis, and quarter-by-quarter projections.
EARLY ACCESS
echotest is in private beta. Join the waitlist and we'll reach out within 48 hours to schedule a walkthrough tailored to your product or campaign.
THE MATH
Add up the real cost of traditional market research for a single product launch.
ChatGPT gives you one generic answer from one model. echotest runs your question past 2.5 million personas that each match a real slice of their country’s population — their income, culture, personality, and shopping habits are grounded in real census and consumer data. Every result ships with a confidence range so you know how much to trust it.
On day one, we’re cross-checked against industry benchmarks for your category. As you feed real campaign results back in, the model learns your specific market. Teams that’ve fed back a few real results typically see 80–90% prediction accuracy on sentiment and engagement.
They’re built from UN population data, World Bank economic indicators, cultural research covering 195 countries, national census data, and behavioural research. No real user data is collected or used — every persona is a statistical construct.
Yes. For pricing, we show you who buys at each price point, how that shifts conversion and revenue, and where the profit peaks. For market growth, we walk your audience through the full funnel (awareness → signup → paying → retention → referral), project 3 years out across multiple scenarios, and give you a quarter-by-quarter playbook.
After a test, you log your decision (launch, tweak, or kill). Once your real campaign runs, you share the actual results — takes about 30 seconds. We compare our prediction to what really happened, spot where we were off, and automatically correct for your specific market next time.
We run a guided demo using your actual content or offer, so you can see real results before committing. Get in touch to schedule one.
Run your first test. See exactly where the plan breaks — and what to change before you spend a single dollar.
Join the Waitlist