Cardiometabolic acquisition moves through a long funnel – ad, sign-up, eligibility check, enrollment, activation, sustained engagement – yet most analytics stacks stop tracking at the click. We build attribution and reporting that follows a member through activation, showing you which channels generate real enrolled members and which ones merely purchase cheap top-of-funnel.
The Problem
You optimize for clicks and sign-ups even though the true conversion is months away
In diabetes and cardiometabolic products, the meaningful outcome is an eligible member who enrolls, activates, and stays engaged – which can happen weeks or months after the first ad. When analytics reward cheap clicks and raw sign-ups, teams pour budget into channels that fill the top of the funnel with people who never clear eligibility or never activate. You end up scaling the exact spend that looks good on a click report and quietly destroys unit economics.
Platform-reported ROAS does not match your bank account, and no one can explain why
Meta and Google each claim the same enrollments, iOS privacy changes broke deterministic tracking, and your finance team sees blended CAC drifting up while every channel dashboard shows green. Without a single source of truth that reconciles platform numbers against actual enrolled members, marketing and finance argue past each other. The result is budget decisions made on the most optimistic number in the room rather than the true cost to acquire a member who matters.
You cannot tie a marketing dollar to a clinical or retention outcome
Cardiometabolic businesses live or die on sustained engagement and, increasingly, on demonstrable outcomes for payers and employers. Yet most marketing analytics stop at conversion and never join back to whether a cohort activated, stayed enrolled, or produced the trend the payer contract requires. That break means you cannot tell which acquisition sources bring members who actually stick, so you optimize for volume and wonder later why retention curves keep sagging.
Each team reports a different number, with no shared definition of truth
Growth reports CAC one way, finance another, and the product team measures activation on a third definition, so leadership meetings turn into debates about whose spreadsheet is right. When there is no agreed data model for what counts as an enrolled or activated member, every strategic decision inherits that ambiguity. The company moves slowly and defensively because no one fully trusts the numbers the next decision depends on.
How We Help You
We begin by defining the outcomes that truly matter to your business – eligible sign-up, enrollment, activation, sustained engagement – and creating a shared data model so every team measures identical events consistently. Before we touch a dashboard, we align marketing, finance, and product on what qualifies as an activated member and what it should cost, because most cardiometabolic analytics problems are definition problems presented as tooling problems.
Next, we rebuild attribution around the complete funnel, not the click. This means following a member from first touch through eligibility, enrollment, and activation, reconciling platform-reported conversions with your own system of record, and adopting a blended, incrementality-aware view rather than relying on every channel's self-scored ROAS. You gain an honest view of what each channel actually contributes to real members, without double-counted platform credit.
We link acquisition data with retention and engagement to reveal cohort quality by source. If a channel delivers members who activate and stay, you know to scale it; if it generates cheap sign-ups that never pass eligibility, you know to cut it – even when its click-level metrics look strong. Most cardiometabolic companies are missing this join, and it typically shifts budget as soon as it becomes available.
We create reporting that founders and boards can genuinely use: a limited set of trusted metrics, refreshed consistently, that explains what to fund next and why. We push back on vanity-metric dashboard sprawl that hides the two or three numbers driving the business, tying reporting directly to the growth decisions you need to make.
What sets us apart is that we are operators, not a dashboard vendor. We do not give you a BI tool and disappear – we embed with your team, make the reallocation calls supported by the data, and connect analytics with your growth strategy and paid channel work so measurement changes where your money goes. The goal of analytics is a smarter decision next month, not a better-looking chart.
What we deliver
- Shared funnel data model with agreed definitions for sign-up, enrollment, and activation
- Full-funnel attribution reconciled against your system of record, not platform self-report
- Cohort quality by acquisition source, joined to retention and engagement
- Blended and incrementality-aware CAC that finance and marketing both trust
- A tight executive reporting layer tied to the next funding decision
In cardiometabolic, a click is a vanity event; the activated, retained member is the business. Analytics that end at conversion will readily fund channels that are quietly destroying your unit economics.
Our Methodology
We lead a focused analytics engagement structured around your funnel. Phase one covers definition and instrumentation – we align marketing, finance, and product on the meaning of every funnel event, audit current event tracking, and close the gaps that allow platforms to double-count enrollments. Useful work cannot rest on disputed definitions, so we settle those first.
Phase two focuses on attribution and connecting it to outcomes. We rebuild the journey from first touch through activation, reconcile platform figures with your system of record, and link acquisition sources to retention to show cohort quality by channel. At this point, analytics moves beyond describing the past and begins reshaping the budget.
The last phase creates the decision layer. We develop concise executive reporting that shows what to fund and why, then make the initial reallocation calls alongside you so measurement starts paying for itself immediately. Unlike a BI consultancy that delivers a dashboard, we remain involved in the decisions – a report that inspires no action is a cost rather than an asset, and that is how we treat it.
Our Process
During the first thirty days, we align your teams around funnel definitions and audit existing instrumentation, giving you an honest map within the opening weeks of what you can and cannot measure today and where double-counting occurs. This step alone typically reframes the CAC discussion between marketing and finance.
By sixty days, full-funnel attribution is reconciled with your system of record, and cohort quality is connected by acquisition source. An operator owns your analytics build, supported by the technical expertise needed to instrument events correctly; on your side, we require engineering access to event data and finance's agreement on which numbers will be canonical.
By ninety days, the executive reporting layer is live and informing decisions – a focused set of trusted metrics showing which channels to scale and which to cut, updated on a reliable cadence. We maintain a weekly working rhythm during the build, followed by monthly reviews once reporting stabilizes.
Engagements generally last three to six months, providing enough time to establish the data model, validate it through real budget decisions, and transfer an operable system to your team. Many clients continue into paid channel execution after measurement becomes honest, because acting on the resulting reallocation is where near-term growth lies.
- Trusted, reconciled CAC across marketing and finance
- Budget reallocated to channels that produce activated members
- Acquisition tied to retention and engagement outcomes
- A reporting layer leadership actually decides from
If your diabetes & cardiometabolic health company needs marketing analytics leadership, we should talk.
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Frequently asked questions
What is the cost of a marketing analytics engagement for a cardiometabolic company?
The engagement has a fixed monthly fee for the three-to-six-month build, far below the cost of a full-time analytics leader and only a fraction of what you are likely misallocating today to channels that purchase clicks rather than members. The primary cost driver is the condition of your current instrumentation – clean event data can be modeled faster than a stack that has never measured the entire funnel.
How quickly will an analytics engagement produce results?
The initial reallocation generally occurs within the first month, once reconciled attribution reveals channels that appear efficient by clicks but deliver members who never activate. The complete decision layer is in place within the ninety-day window.
How does your analytics team collaborate with our current data and engineering staff?
We work alongside your engineers instead of replacing them, defining the events that need instrumentation and, where possible, building models on your existing warehouse and tools. We require read access to event and enrollment data, plus an engineering point of contact for tracking corrections.
What distinguishes Winston Francois from a BI or analytics agency?
A BI agency provides dashboards and expects you to interpret them; we are operators who act on the budget decisions supported by the data. We begin with the growth decisions you face and work backward to the minimum measurement needed to resolve them, rather than tracking everything and waiting for insight to appear.
How do you evaluate ROI for the analytics work itself?
ROI appears in budget shifted away from low-quality channels toward those that deliver activated, retained members, along with a CAC figure that marketing and finance finally share. We measure the change in blended CAC before and after reconciliation, as well as shifts in cohort quality by source.
Can marketing data be linked to retention and clinical engagement outcomes?
Yes – this connection is central to the engagement, because cardiometabolic member value depends on whether someone activates and stays, not whether they clicked. We link acquisition sources with downstream enrollment, activation, and sustained-engagement data, revealing which channels deliver members who remain.
Which type of cardiometabolic company is best suited to this service?
The strongest fit is a Series A through growth-stage diabetes or cardiometabolic company investing meaningfully in acquisition without knowing which spending generates real members. If you are pre-revenue and have almost no data, analytics is too early, and we will tell you. If you are increasing budget based on click-level ROAS while blended CAC rises, this is precisely the problem we address.
