Spectare personalises from the first visitor. It learns from every visit after.
The loop
1. A visitor arrives. Spectare classifies their intent and assembles a personalised experience from your atoms. 2. If the visitor converts, Spectare records which atoms were on the page and which arrangement they saw. 3. Two signals update: which atoms have converted for this audience and stage in the last 30 days, and which atom combinations appear together in converting sessions. 4. Both signals feed into the next assembly decision alongside semantic similarity. The more conversions you collect, the more precisely Spectare selects.
Experimentation layer
If you set an exploration rate, a share of visitors see experimental arrangements. Spectare tracks impressions and conversions per arrangement. Once enough signal accumulates, you see which arrangements win for each audience and stage in the What's working view.
What you do
Write good atoms. Set a conversion URL. Optionally set an exploration rate. Spectare handles the rest. No segments to define, no rules to write, no training period to wait through.
This is one atom from the Spectare content library. Spectare assembles the right atoms for each visitor in real time, based on who they are and how they arrived.