ECHO · 02 · BETA · 100% IN-BROWSER
◆ Live signature
Message ↔ market fit
◆ ECHO · 02 / MESSAGE-MARKET FIT

DOES YOUR
MESSAGE
SPEAK THE MARKET'S
LANGUAGE?

Echo Compass measures the alignment between a message you've written and the language of the market you're addressing. Seven dimensions of fit — vocabulary, register, emotion, cognitive frame, value drivers, specificity, and rhetorical risk markers — drawn from validated psycholinguistic research and applied marketing science.

◆ INPUT A
Your message
A campaign copy, a LinkedIn post, a landing-page headline, a press release, a value-prop statement. Your text. Your authorship.
◆ INPUT B
The market's voice
Aggregated public language — competitor copy, public reviews, forum threads, press articles, audience comments about the topic. Always aggregate, never individuals.
◆ OUTPUT
Seven-dimension fit
A diagnosis, not a verdict. Where your message resonates with the market's language. Where it doesn't. Concrete strategic recommendations.
ZERO DATA RETENTION · ZERO INDIVIDUAL PROFILING. Echo Compass analyzes messages, not people. The market input must be an aggregate — never a single identifiable individual. Everything runs in your browser. Nothing sent. Nothing stored. Close the tab and it's gone.
The Message
YOUR TEXT · what you want to say
0 words
◆ Best inputs: 100-500 words. Brand copy you've written, headlines, sales emails, campaign briefs, content drafts. Anything you have full authorship rights to.
Examples: campaign tagline · product page copy · LinkedIn post draft · sales email · press release · pitch deck text
The Market
AGGREGATED PUBLIC TEXT · how the market talks
0 words
◆ Best inputs: 500-2000 words. Aggregated only — combine multiple public sources into one body. Sources: competitor websites, public review platforms, press coverage, public forums about the topic.
Examples: 5+ competitor homepage copies · 30+ public reviews · 10+ press articles · aggregated forum threads · industry analyst quotes
◆ analyzing seven dimensions of fit...
◆ NO ANALYSIS YET Paste your message and the market's aggregated voice above, then press Compute Fit.
Echo Compass will surface seven dimensions of alignment — and where the gaps are.

◆ METHOD & LIMITS · READ BEFORE INTERPRETING

What this tool is. Echo Compass measures linguistic and rhetorical alignment between a message you wrote and an aggregated body of market text. The seven dimensions — vocabulary overlap, register match, emotional resonance, cognitive frame, value drivers, specificity, risk markers — come from validated psycholinguistic and marketing-science traditions: Pennebaker LIWC, Schwartz value theory, Plutchik emotions, classical rhetorical analysis.

What this tool is not. Not a guarantee of campaign performance. Not a substitute for A/B testing, focus groups, or audience research. Not an individual-profiling tool — the market input must be an aggregate; using identifiable individuals as the "market" would defeat the design intent and create ethical concerns. Linguistic fit is a meaningful predictor of resonance, but markets are governed by far more than language: timing, channel, trust, distribution, competition, price.

How to read the scores. Treat the overall Fit Score and dimensional scores as directional diagnostics, not pass/fail verdicts. A high score doesn't mean your message will succeed; it means your message speaks the market's language. A low score doesn't mean the message is wrong; it may mean you are intentionally positioning against the prevailing register (sometimes a winning strategy). Use scores to provoke decisions, not to replace decisions.

Quality of input shapes quality of output. A weak market sample (too small, too narrow, biased toward one source) will produce an unreliable benchmark. The minimum useful market sample is ~500 words drawn from at least 3-5 distinct public sources. The minimum useful message is ~50 words. The tool will warn you when inputs fall below useful thresholds.

Ethical use. Echo Compass is designed for marketers, strategists, content writers, and researchers analyzing their own messages against public market language. It is not designed for, and should not be used for, profiling individuals, analyzing private communications without consent, or any application targeting identifiable persons. The "market" input must be public, aggregated material.

◆ FOUNDATIONAL RESEARCH ·

→ Pennebaker, J. W., & King, L. A. (1999). Linguistic styles: Language use as an individual difference. Journal of Personality and Social Psychology, 77(6), 1296–1312.
→ Schwartz, S. H. (1992). Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. Advances in Experimental Social Psychology, 25, 1–65.
→ Plutchik, R. (1980). A general psychoevolutionary theory of emotion. In Emotion: Theory, Research, and Experience, Vol. 1.
→ Heath, C., & Heath, D. (2007). Made to Stick: Why Some Ideas Survive and Others Die. Random House. (specificity, concreteness)
→ Aaker, J. L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34(3), 347–356.
→ Mohammad, S. M., & Turney, P. D. (2013). Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3), 436–465.
ECHO COMPASS · THE LISTENING ROOM · © 2026 ALEX-GEORGE ADAM
← Back to The Listening Room · Try Echo Pulse