Weekly brief
Week of 2026-10-27
6 of 14 plan tasks complete (42.9%).
Every count is reproduced from the append-only event store.
| Channel | Touches |
|---|---|
| phone | 50 |
| text | 883 |
| 80 | |
| 40 |
| Response | Count |
|---|---|
| disposition | 50 |
| inbound reply | 217 |
| opt out | 3 |
| reply code | 122 |
| sentiment code | 8 |
Phone contact rate: 40.0% (20 reached / 50 dial attempts).
Inbound replies classified deterministic-rules-first, then model-assisted; anything uncertain is routed to human review and shown as its own band, never a confident label.
Your rate beside the platform benchmark for comparable campaigns (same race type and region), pooled through the governed gateway. A benchmark appears only once the cohort is large enough to keep every campaign unidentifiable; below that it reads "not enough comparable campaigns yet" rather than a small-n number.
| Metric | Your rate | Benchmark | Cohort |
|---|---|---|---|
| Contact rate | 100.0% | 26.9% | 6 |
| Reply rate | 22.5% | 24.1% | 6 |
| Opt-out rate | 0.3% | 4.6% | 6 |
| Conversion to support | 13.9% | 48.3% | 6 |
Each experiment pre-registers its metric and holds out a randomized control. A "no measurable difference" is reported as a first-class result, never spun as a win.
Status: analyzed
Measured lift: treatment 34.1% vs holdout 16.2%, an absolute lift of 17.9% (95% CI 9.4% to 26.4%, p=0.000, n=270/130).
Status: analyzed
No measurable difference on the pre-registered metric: treatment 20.1% vs holdout 19.8% — the 95% confidence interval for the difference (-8.3% to 8.8%) includes zero (p=0.957, n=279/121). Reported as a no measurable difference result, not a win.
Advice derived from your own event data. Every suggestion carries its evidence — your data, a gateway benchmark where the cohort permits, and a narrative signal where one is present — never an unexplained score.
Your text channel earns replies at 24.6% versus 0.0% for email. Move marginal volume and budget from email toward text, then re-measure.
Why:
The "warm-intro" variant earns support-coded replies at 30.0% versus 10.0% for "issue-forward". Make "warm-intro" the default and test a fresh challenger against it.
Why: