All use cases

Upsell & Cross-sell

Lab-result-driven product personalization

A new lab result arrives — and instead of a PDF, the customer gets a conversation about what changed and what would actually help.

Get aheadNext best thingBehavioral triggerSystem triggerTime-based triggerWhatsAppChatEmailHealth & TelehealthWellness (B2C apps)GLP-1 & Peptides

What it does

A customer takes a blood test, receives a free analysis, and then nothing happens until they think to come back. The provider is sitting on structured, longitudinal health data and giving the insight away with zero monetization. This agent holds each customer's results history in persistent memory and turns every new result, every question about a marker, and every retest milestone into a personalized recommendation: the supplement matched to the deficiency, the adjustment to what they already take, the retest that closes the loop. The free analysis surface becomes a revenue center without changing what made it valuable — the customer still gets a clear, caring read of their own data first.

How it works

  1. 1
    Trigger. a new lab result lands in the system, the customer asks about a marker in chat, or a retest or review milestone comes due.
  2. 2
    Decision. the agent reads the new result against the longitudinal record in memory — trends across tests, current regimen, what was previously recommended, bought, or declined. Clinical-safety rules bound what it may say, and a quality judge gates any unprompted outreach.
  3. 3
    Action. a plain-language note goes out on chat, WhatsApp, or email: what improved, what still needs attention, and the one product matched to that profile, with a secure checkout hand-off on the provider's hosted payment step.
  4. 4
    Follow-through. results that trip a red-flag rule route to a clinician, never to an offer. Outcomes write back to memory, the next retest gets scheduled, and outreach made stale by a newer result is cancelled.
Example
AgentYour latest results are in. Good news first: your vitamin D is back in range since you started the supplement after your last test. Ferritin is still trending low, though. There's an iron formulation suited to your profile — want the details?
CustomerYes — but is it safe to take alongside what I'm already on?
AgentIt is, taken with food and a few hours apart from your magnesium. I've put the combination guidance and a secure checkout link in this thread, and I'd suggest re-testing ferritin once the new supplement has had time to work — I can remind you when it's time.

Configuration

How the agent is wired for this use case.

Triggera new-result event from the lab pipeline, a result-viewed event, a customer question about a marker, or a retest/review milestone coming due
Tools & actions
  • Lab / results pipeline · ingest new results and read the longitudinal record
  • Product catalog · resolve the supplement matched to the profile via the approved result-to-product mapping
  • CRM / memory store · read regimen, purchase history, and consent; write back outcomes and schedule the next retest
  • Messaging channel · deliver the plain-language note on chat, WhatsApp, or email
  • Hosted checkout · hand off the matched purchase to the provider's secure payment step
  • Clinician escalation path · route red-flag results to a clinician
Autonomythe read and outreach run unattended behind clinical-safety rules and a quality judge; recommendations are bounded by an approved claim matrix with no diagnosis, and the money-moving purchase completes only on the provider's hosted checkout via a customer-initiated link
Channelswhatsapp · chat · email
Escalationany result tripping a red-flag rule routes to a clinician before any commercial message, never to an offer

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

new-result events from the lab pipeline, result-viewed events, retest-due milestones, customer questions about markers

Data

longitudinal lab results held in customer memory, current regimen and purchase history, consent state for health-data-driven outreach

Guardrails

red-flag detection routes to a clinician before any commercial message; recommendations limited to an approved claim matrix, no diagnosis; judge gating on every unprompted message; explicit health-data consent honored; frequency caps

Metrics it moves

  • arpuup, as a free analysis surface starts converting insight into matched purchases
  • attach-rateup on supplements and follow-on tests tied to the customer's own markers
  • ltvup through the test–recommend–retest loop that keeps the relationship compounding
  • revenue-per-conversationresult conversations carry attributable sales instead of ending at the PDF

Related use cases

Engage / Lifecycle

Test-result interpretation agent

the care-only sibling without the commercial step

Engage / Lifecycle

Proactive health-coach companion

the ongoing cadence between tests

Retain / Save

Missed-refill and replenishment outreach

keeps the matched product in supply afterwards

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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