Compare competitors on key issues and see what actually performs.
See what matters most right now.
echo turns live conversations into intent signals – wants, blockers, and turning points – to shape messaging before you launch or spend.
People don’t give you intent up front, they reveal it as you ask the next question. echo uses adaptive follow-ups to capture needs, doubts, and turning points while decisions are forming. You get the why behind the yes.
Surveys measure memory or hypotheticals. Social listening only hears noise and distorted public performance. echo captures intent in context, while decisions are forming.
Evolve messages in a risk-free space inside real conversations. A/B test variants and measure lift, then scale only what performs.
echo doesn’t replace your research, creative, or media stack – it makes them smarter. Pressure-test messaging in conversations, then export winners into briefs, ads, landing pages, and lifecycle before you scale.
Test any topic, message, or persona
See how people respond and why
Iterate until friction drops
Export winners into campaigns
echo doesn’t replace your research, creative, or media stack – it makes them smarter. Pressure-test messaging in conversations, then export winners into briefs, ads, landing pages, and lifecycle before you scale.
Test any topic, message, or persona
See how people respond and why
Iterate until friction drops
Export winners into campaigns
Explore short briefs built from real Al conversations. See what people care about, what confuses them, and what actually shapes decisions.
Why people choose Monster, Celsius, or Red Bull, and what tips the decision at the shelt
“Celsius feels ‘cleaner, but Monster is stil the one that hits.”
How people choose airlines for business versus leisure, including price, trust, reliability, and stress.
“I’ll pay more if I trust they won’t ruin my day.”
How people talk about credit including fees, denials, faimess, and moments trust breaks.
“It’s not the rate—it’s feeling tricked.”
How people decide between Lowe’s and Home Depot, including in-store versus online and drop-off
“If I can’t find it fast, I’m gone”
You choose who you learn from and what you test – audiences, topics, pacing, and caps. Then you see exactly how outcomes change by cohort and region, with the ability to gate, exclude, and roll back instantly.
You ask, we answer
Surveys capture after-the-fact recall, and social listening captures public performance. echo captures intent in context inside real conversations, then uses adaptive follow-ups to uncover the “why” while decisions are forming.
We run controlled message experiments (A/B and multivariate) inside conversations and track which variants change downstream signals—preference, confidence, next-step intent, and conversion proxies—by cohort and region. Lift is reported as clear deltas vs. baseline with sample sizes and confidence.
You can target by cohort rules (demographics/geo where available), interest/intent signals, and attitudinal segments that emerge from conversation patterns. Filter and compare results by region, segment, exclusions, and pacing caps so you’re learning from the exact population you care about.
You can launch in minutes and start seeing directional signal the same day as responses come in. Most teams reach stable reads within 24–72 hours depending on audience size, targeting precision, and required confidence.
Start by exploring what echo already knows. Go deeper when you’re ready.