Signal families
Messages are read structurally, in English and Romanian: concreteness (numbers, named moments, senses, action verbs), proof markers, emotional tension, and clich\u00e9 / AI-sounding phrasing. No campaign-specific keywords — the same rules apply to every brief.
Message score
Total = attention \u00d7.20 + clarity \u00d7.17 + trust \u00d7.20 + share \u00d7.13 + conversion \u00d7.15 + anti-cringe \u00d7.08 + anti-AI \u00d7.07. Every subscore is 0\u2013100 with visible drivers and a rewrite suggestion.
Signal Score & verdict
Overall = Campaign DNA \u00d7.18 + Message \u00d7.20 + Audience \u00d7.15 + Creator Fit \u00d7.13 + Risk Safety \u00d7.17 + Media Efficiency \u00d7.17. GO at \u226580, FIX at 60\u201379, DO NOT LAUNCH YET below — with guards: a high Proof Gap or low Risk Safety caps the verdict regardless of the average.
Forecast
Rate card dated June 2026, EUR base, fixed planning FX (1 EUR \u2248 4.97 RON) and a disclosed \u221218% Romanian-market auction adjustment for RON campaigns. P10/P50/P90 re-run the entire forecast under pessimistic / base / optimistic benchmark scenarios. No conversion value \u2192 ROI is switched off, not invented.
Real-comment mining
Pasted comments are scanned for six objection patterns (price, proof, trust, timing, complexity, fatigue — RO + EN). Matches feed the Skeptic persona, the comment simulator and the pre-mortem, tagged \u201cUploaded-data-derived\u201d.
Audience Lab
Pasted or CSV-loaded comments are segmented into units and analysed in-browser: bilingual sentiment with negation and intensifier handling, behavioral intent (Lavidge–Steiner ladder: purchase / recommend / inquire / complain / switch), aspect × sentiment key drivers, emerging language via Monroe–Colaresi–Quinn weighted log-odds, Language Style Matching (Pennebaker) and COM-B barrier mapping (Michie et al.). All proportions carry Wilson 95% intervals; below n = 80 results are labelled directional. Coverage is disclosed — unclassified units are counted, never guessed. Forecast uncertainty uses 2,000 Monte Carlo simulations. Corpora are cleaned before analysis — exact duplicates and too-short units are removed and the removal is disclosed; ~30 common emoji carry sentiment; custom aspects extend the measurement lexicon; every Key-Driver dot opens its verbatim receipts; the labeled dataset exports as CSV.
Privacy & limits
Everything runs locally in this browser; nothing is transmitted unless you submit the request form. Confidence is capped at Medium-High in this standalone version: High requires real listening data — that is the paid audit, by design, not a paywall trick.