Digital health companies invest heavily in acquiring a member, then lose most of that value during the first 30 to 60 days because retention is managed as a generic email calendar rather than a program shaped by clinical and behavioral triggers. We rebuild the lifecycle program around the moments that truly predict whether a member remains, completes a program, or renews.
The Challenge
Your churn curve falls apart in the first 30 days, and no one on the team is responsible for fixing it
Onboarding gets the attention, and the first 30 to 60 days after enrollment get almost none, which is exactly when most digital health products lose the majority of their users. Enrollment is often tied to a clinical event – a diagnosis, a prescription, a referral from a provider – so early drop-off means the clinical value never actually gets delivered, not just a lost subscription. The unit economics built on a projected LTV curve collapse quietly, months before anyone on the finance side notices the pattern in the cohort data.
Payers and employers are moving toward outcomes-based contracts, and inactive members put those contracts in jeopardy
A growing share of digital health revenue runs through payer and employer contracts tied to utilization or outcome thresholds, not simple per-member fees. When members stop engaging, the company does not just lose a user – it risks the underlying commercial contract, and in some structures a clawback on fees already collected. That turns a marketing metric into a revenue-line risk that most retention programs were never built to manage.
Marketing handles acquisition, product handles engagement, and retention gets lost in the space between them
Marketing is measured on new signups and cost per acquisition. Product is measured on DAU and WAU. Neither team is accountable for the full cohort retention curve from day one through month six, so the campaigns that do exist are generic reactivation blasts disconnected from the clinical or behavioral signals that actually predict whether a member returns. The result is a retention program that exists on a calendar but not in the data.
Ecommerce retention strategies do not carry over to symptom-triggered, episodic health behavior
Standard lifecycle marketing assumes continuous purchase intent – browse abandonment, a discount at day 14, a win-back series at day 30. Digital health usage is frequently episodic, tied to a medication refill window, a symptom flare-up, or a scheduled therapy session, so a campaign firing on a generic calendar cadence misses the actual moment a member would re-engage. Borrowed playbooks produce open rates without producing returns to the product.
How We Can Help
We begin by mapping the actual cohort retention curve, segmented by acquisition channel and clinical use case, to pinpoint the days and weeks where drop-off is concentrated. This step also distinguishes two very different groups that most churn reports combine: members who leave because the product did not provide value, and members who finish a defined use case – completing a physical therapy program, resolving a short-term condition – and leave because the job is complete. Treating both groups as the same churn issue leads to the wrong solution.
From there, we create lifecycle segments based on clinical and behavioral triggers rather than calendar days. This means shaping outreach around a medication refill window, a symptom check-in cadence, or the days after a provider visit, instead of using a standard day-7 and day-30 email sequence. It also requires defining what "retained" means for each segment, because a chronic-condition management product aims for sustained engagement, while a short-course clinical program aims for completion, not endless app opens.
We then build and operate the program itself – email, push, SMS, and in-app messaging sequenced around those triggers, aligned with care team or coaching touchpoints when clinical staff participate in the member journey. When the solution calls for changes to the product experience rather than messaging alone, we partner directly with the product team through our product practice so the retention work extends beyond the inbox.
Measurement covers the cohort retention curve by acquisition channel, LTV by segment, and – especially for companies selling through payer and employer contracts – the specific utilization thresholds included in those contracts, instrumented through our measurement practice. If a retention program cannot demonstrate its impact on the actual contract terms, it proves nothing that matters to a health plan buyer.
What sets this approach apart is that we work as an embedded team within both the marketing and product stack, rather than as a vendor delivering a campaign calendar. Improving digital health retention takes someone who can interpret a cohort curve, determine which drop-off points are clinical versus behavioral, and develop the outreach and product changes that fit – and that is the work we perform throughout the engagement.
What we deliver
- Cohort retention analysis by acquisition channel and clinical use case, with drop-off points mapped to specific days and triggers
- Segment definitions built around clinical and behavioral triggers – refill windows, symptom cadence, program completion – not generic calendar intervals
- Lifecycle messaging program across email, push, SMS, and in-app, sequenced to those triggers rather than a fixed day-count series
- Coordination with care team or coaching touchpoints where clinical staff are part of the member journey
- Retention and LTV reporting tied to payer or employer contract utilization thresholds where applicable
Retention in digital health is not a marketing issue fixed by sending more emails. It is solved by aligning outreach with the moment a member's condition, rather than the calendar, indicates they need you again.
Our Methodology
We deliver retention marketing through a 90-day sprint that develops into an ongoing program. The initial 30 days focus on cohort and churn mapping: we analyze the retention curve by acquisition channel and clinical use case, locate where drop-off is concentrated, and distinguish members leaving after a failed experience from those completing a defined program. Days 30 through 60 are spent building the segmented trigger logic and its related messaging sequences, including any handoff points involving care team or coaching staff. During days 60 through 90, we launch the program and instrument reporting against your retention and LTV baseline, including payer or employer contract thresholds when they exist.
This differs from a typical lifecycle marketing engagement in one key respect: segmentation logic is based on clinical and behavioral triggers instead of calendar intervals, because those triggers actually predict return behavior for an episodic health product. We also do not classify every departing member as churn – completing a defined clinical program is not the same outcome as abandonment, and the program is designed to distinguish between them before a solution is recommended.
Our Working Process
The initial 30 days are diagnostic. We analyze cohort- and channel-level retention data, map it to your clinical use cases, and pinpoint the specific moments when members drop off and the reasons why. Before building any campaign, you receive an honest assessment of how much churn comes from a broken early experience versus expected program completion.
Days 30 through 60 focus on building. We establish the trigger-based segments, write and sequence the messaging program across your existing channels, and collaborate with your clinical or coaching team on touchpoints that belong to them instead of marketing. From your team, we require access to product and CRM data, plus time from the person responsible for the clinical or care team relationship with members.
Days 60 through 90 cover launch and measurement. The program launches, and we instrument retention curves, LTV by segment, and – when relevant – utilization metrics connected to payer or employer contracts. Most engagements extend beyond the first 90 days because retention is an ongoing program, not a one-time solution, and typically last three to six months with an option to extend.
Our cadence includes a weekly working session with marketing and, when applicable, the product or clinical lead, along with async reporting on cohort movement. We operate within your current tools instead of creating a parallel system, making the program something your team can manage after handoff.
- Reduced early-stage churn in the first 30 to 60 days after enrollment
- Higher completion rates on defined clinical programs
- Improved LTV by acquisition channel
- Stronger utilization against payer or employer contract thresholds
If your digital health company needs retention marketing leadership, we should talk.
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Frequently asked questions
What is the cost of a retention marketing engagement for a digital health company?
We price retention engagements according to the number of member segments, the complexity of trigger logic, and the degree of clinical or care team coordination required. A single-condition product with a simple member journey is scoped differently than a multi-condition platform involving multiple care team handoffs.
How soon will we see retention numbers change?
Cohort mapping and the initial trigger-based segments are generally live by day 60. Changes in early-stage retention (the first 30 to 60 days following enrollment) are usually apparent within one to two complete cohorts after launch.
How will the retention team collaborate with our current product and clinical staff?
We collaborate directly with the person responsible for the member's clinical journey because digital health retention triggers are often clinical events rather than marketing events. This requires access to product usage data, coordination with care team or coaching staff on the touchpoints they own, and a shared understanding of what retained means for every segment.
How is Winston Francois different from a typical lifecycle marketing agency?
A typical lifecycle agency creates campaigns around calendar intervals adapted from ecommerce. We develop segmentation using clinical and behavioral triggers unique to your product, separate members who churn from those who complete a program, and collaborate within your product team when the solution belongs there rather than in an email.
How is ROI measured for a retention marketing engagement?
We measure the cohort retention curve by channel, LTV by segment, and, where relevant, the specific utilization thresholds included in payer or employer contracts. Generic open and click rates are not the scorecard because they do not indicate whether a member remains or a contract stays healthy.
What kind of digital health company is best suited to this service?
This service is designed for digital health companies approximately in the 5M to 100M ARR range, with enough member volume to produce a meaningful cohort curve and sufficient post-acquisition drop-off to warrant fixing. It works best when a product or clinical team is prepared to collaborate on the elements of the solution that go beyond pure marketing.
