Lead-to-issued conversion
The share of inbound, customer-initiated calls that become an issued policy — measured end-to-end, from the AI voice agent answering the call through the carrier confirmation number.
Case studies
We will not publish numbers we cannot defend. The first issued-policy cohort is in production now, and the case studies below will fill in with real data — close rates, conservation save rates, node-operator monthly take-home — as that data lands.
What we measure
AI call outcomes by carrier tier
How the AI sales agent performs across the carrier waterfall — Tier 1 (best health), Tier 2 (mid), and Tier 3 (guaranteed issue) — including tier-pivot and close rates.
Conservation save rate
The share of at-risk policies (day-31-through-day-60 lapse signals) retained by the conservation agent’s scheduled outreach — the metric that most directly reduces chargebacks.
Node-operator earnings
The actual flat-fee take-home for node operators over the cohort, by lead type — CS-flip leads versus standard inbound — reported as real figures, not modeled estimates.
In Progress
First issued-policy cohort
The first published case study will cover the cohort of policies issued through the LegacyCore pipeline during the initial production rollout. We expect to share, with real numbers and not industry estimates: lead-to-issued conversion rate end-to-end, AI voice-agent call outcomes by carrier tier, conservation save rate on day-31-through-day-60 lapses, and the actual flat-fee earnings of node operators across that period.
Status: data collection in progress. Expected publication: when the cohort clears the 60-day clawback window and the numbers are real, not modeled.
Collaboration
Want to be a case study?
If you operate a submission node on LegacyCore and would be willing to share your production numbers (we can anonymize), we would like to talk. Reach out at contact@legacycore.io.
Apply as a submission-node operator