Two moves: the enrich, then the action.

No vectors, no schemas, no holdout jargon. Echo takes the facts you already have, builds a living copy of your customers, then lets you test a real action against it and reads the result from the first click to the sales call. This page walks both moves in plain words.


Facts in. A synthetic audience out.

Echo learns from the data you already own and builds a faithful, privacy-safe stand-in for each customer. An algorithm computes the behaviour; a language model only puts it into words you can read.

🗂️Your facts
⚙️Algorithm
+
💬LLM
👥Enriched twin
The numbers are computed; the language model only narrates them. It never guesses the result.

Test a real action, score the whole chain.

Pick something you're about to send. Echo runs it against the twin population and shows you what would happen, the early signal and the money signal, not just the open.

Example · a LinkedIn message to your north-region eco segment
"This ad makes your eco-minded customers in the north 30% more likely to book a call."
Not "this ad looks nice." A number, tied to whether your customers act, computed before you spend.
What Echo reads The words (urgency, warmth, where the call-to-action sits) · the image (where the eye lands, is a face looking back) · the emotion (the pull between desire and hesitation), turned into signal, then connected to real outcomes.
Result → click rate and chance of a sales call, with versions ranked so you ship only the winner.

What Echo reads itself, vs the tools it plugs in.

Echo encodes the words, the visuals and the feeling on its own. When a campaign earns it, Echo brings in best-in-class brain science too, and never just takes its word for it.

What Phaeth reads

  • The copy: urgency, warmth, clarity, where the CTA sits
  • The visual: where the eye lands, whether a face looks back
  • The emotion: the pull between desire and hesitation
  • Your outcomes: what your customers actually did

Plug-in tools (optional)

  • Attention: Neurons, Dragonfly AI (where the eye goes)
  • Emotion: HABS (EEG into emotion, attention, confusion)
  • Wearables: Apple Watch, Oura, Whoop, EEG headbands
  • Each treated as a clue, checked against your real numbers

The brain-science vendors tell you what a brain does.
Echo tells you what your customer will do, and what to send them.


The twin has to pass a reality check before it advises you.

Before any synthetic audience informs a decision, Echo quizzes it on questions whose true answers it already knows from your data but deliberately hid from the model. If the twin reproduces that hidden reality, it passes. If it drifts, it's thrown out, not quietly tuned until it agrees with you.

In plain terms: Echo would rather tell you "the data can't support this prediction" than hand you a confident number it can't stand behind.

From first click to sales call,
modelled before you hit send.

See it run on your own customers, not a slide.

Or read about the integration.