Noah: The Highest-Intent Audience Wasn't Who the Founders Expected

NOAH, a premium mobile urgent care startup, was preparing to launch a $750 per-visit, out-of-network service in South Florida — with no data on who it was for, what would make them pay, or how to talk about it. A two-phase consumer research program answered all three before launch.

Client

Noah

Role

Audience Research, Pricing & Offer Testing

Audience & Culture Mapping

Noah case study

Key Takeaway

The highest-intent audience wasn't who the founders expected — defined less by income and more by behavior: parents with children, frequent and frustrated ER users. And the biggest lever wasn't the price point, but how the price was framed.

Context

A concept never put in front of a customer

NOAH is a premium mobile urgent care startup built by healthcare operators who'd lived the ER problem firsthand, preparing to launch a $750 per-visit, out-of-network service in South Florida. The concept made sense to them. They'd just never put it in front of a customer: no data on who this was for, what would make them pay, what would kill the sale, or how to talk about it.

Noah background

Solution

Two phases, 820 consumers, one launch plan

Concept validation, then pricing

Designed and fielded a two-phase research program: concept validation (n=420) and pricing/offer testing (n=400), targeting affluent South Florida residents.

Concept validation, then pricing

Designed and fielded a two-phase research program: concept validation (n=420) and pricing/offer testing (n=400), targeting affluent South Florida residents.

Concept validation, then pricing

Designed and fielded a two-phase research program: concept validation (n=420) and pricing/offer testing (n=400), targeting affluent South Florida residents.

Concept validation, then pricing

Designed and fielded a two-phase research program: concept validation (n=420) and pricing/offer testing (n=400), targeting affluent South Florida residents.

Segmentation to find high-propensity cohorts

Segmented by demographics, household composition, insurance type, healthcare usage, and geography.

Segmentation to find high-propensity cohorts

Segmented by demographics, household composition, insurance type, healthcare usage, and geography.

Segmentation to find high-propensity cohorts

Segmented by demographics, household composition, insurance type, healthcare usage, and geography.

Segmentation to find high-propensity cohorts

Segmented by demographics, household composition, insurance type, healthcare usage, and geography.

A 2-cell pricing experiment

Compared reimbursement framings and payment-spreading options, measuring how each shifted acceptance by segment.

A 2-cell pricing experiment

Compared reimbursement framings and payment-spreading options, measuring how each shifted acceptance by segment.

A 2-cell pricing experiment

Compared reimbursement framings and payment-spreading options, measuring how each shifted acceptance by segment.

A 2-cell pricing experiment

Compared reimbursement framings and payment-spreading options, measuring how each shifted acceptance by segment.

Objection and trust-signal mapping

Mapped objections and trust signals by segment, informing messaging hierarchy and launch creative.

Objection and trust-signal mapping

Mapped objections and trust signals by segment, informing messaging hierarchy and launch creative.

Objection and trust-signal mapping

Mapped objections and trust signals by segment, informing messaging hierarchy and launch creative.

Objection and trust-signal mapping

Mapped objections and trust signals by segment, informing messaging hierarchy and launch creative.

Results

Research that directly shaped the go-to-market

Built a consumer-validated audience profile: five early adopter segments defined by household structure, healthcare behavior, and geography

Subscription and pay-as-you-go models outperformed flat-fee by 11 points, shifting pricing strategy from fixed to phased

Research shaped the launch directly: Miami-Dade pilot, segment-prioritized media plan, trust-first messaging

+11 pts

Acceptance — subscription & pay-as-you-go vs. flat fee

820

Consumers surveyed across two phases

5

Early-adopter segments identified

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