Optimizing
Optimizer
Proves: a truth-bounded bandit per segment — it can only ever pull verified variants.
Simulated RL
| Variant | Traffic share | Posterior | Optimizes | |
|---|---|---|---|---|
| Daypart adaptive theme ★ |
89% |
0.14 | bounce | learned winner |
| B2B peer-logo hero |
3% |
0.054 | b2b_demo | |
| Local-proof badge |
8% |
0.089 | ctr | |
| Recognize-return (ungated) | 0% — out of the pool | — | relies on a hold fact | selected 0× |
| Variant | Traffic share | Posterior | Optimizes | |
|---|---|---|---|---|
| Welcome-back resume |
19% |
0.116 | reactivation | |
| Tailored-offer module ★ |
58% |
0.118 | paid_conv | learned winner |
| Prestige / peer hero |
21% |
0.108 | lead_to_app | |
| Income-recite (ungated) | 0% — out of the pool | — | relies on a hold fact | selected 0× |
| Variant | Traffic share | Posterior | Optimizes | |
|---|---|---|---|---|
| Click-continuity ★ |
80% |
0.146 | lead_to_app | learned winner |
| Resume / abandoned |
12% |
0.128 | paid_conv | |
| Scarcity / urgency |
7% |
0.102 | lead_to_app | |
| Comparison-call-out (ungated) | 0% — out of the pool | — | relies on a hold fact | selected 0× |
Simulated reinforcement learning — deterministic seeded bandit (real ThompsonBandit), synthetic traffic, no live users. Rewards are illustrative latent CTRs.