Engineering the Go-To-Market for a Consumer Wellness App
The founders’ initial ask was for “some launch marketing” — a vaguely-scoped request for ads and maybe an influencer or two around the launch date. It treated go-to-market as a promotional layer to apply on top of a finished product, in the final few weeks.
- The Challenges
- App discovery is brutally winner-take-most
- The stores surface apps that already have momentum, which creates a cold-start problem: you need traction to get discovered, and discovery to get traction. Breaking that loop deliberately — rather than hoping the algorithm notices quality — was the core challenge.
- Downloads are a vanity trap. It is easy to buy installs and produce an impressive launch-day number that means nothing, because most of those users never activate and never return. We had to keep the team focused on *activated, retained* users from day one, even though the download number is the one that feels good and photographs well for investors.
- Wellness apps have a notorious retention cliff. The category is full of motivated downloads followed by silent abandonment. A launch that drove installs into a leaky product would have been money poured into a bucket with no bottom. Onboarding and lifecycle had to be part of the launch, not a later optimisation.
- Five months is a real but finite runway. We had time to test and learn, but not to waste. Every channel test had to be designed to produce a clear read quickly, so spend could concentrate on what worked before the runway thinned.
- Strategy We Build
Our Approach — Build the Front Door Before You Throw the Party
We treat a consumer launch as an engine with three connected stages — *find them, convert them, keep them* — and we build all three before launch rather than discovering the leaks afterward. The engagement ran in three phases.
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Phase One — Positioning, Store Presence & Launch Architecture (Months 1–2, Pre-Launch)
Before a dollar of spend, we built the things a launch needs to *land*.
We sharpened Tide’s positioning into a single, sticky reason a stranger would want it — not a feature list, but the specific change it promised in a user’s life — and we built the store presence (listing, screenshots, preview, copy) as a conversion surface engineered around that promise, because the store page is where most installs are won or lost and most apps treat it as an afterthought. We designed the launch as a sequenced system: a pre-launch audience-building motion, a creator-seeding plan to put the app in front of aligned audiences with authentic voices, and a structured paid-channel test matrix to find the most efficient acquisition route. And we mapped the onboarding and activation flow with the founders, identifying the precise “aha moment” that, if a new user reached it, predicted retention — so that every acquisition dollar would be pointed at getting users *to that moment*, not just through the door.
Phase Two — Launch & Channel Discovery (Month 3, Launch Window)
We launched as a coordinated system and used the window to *learn fast*.
Rather than spraying budget across every channel at once, we ran a disciplined test matrix — paid social creative variants, creator-seeded content, and store optimisation — each instrumented to reveal not just cost per install but cost per *activated* user, which is the number that actually matters. The creator seeding gave the launch authentic reach into aligned wellness audiences; the paid tests gave us a fast, clean read on which message and channel acquired users who actually stuck. Within the launch window we were already concentrating spend toward the combinations that produced activated, retained users and cutting the ones that produced cheap installs who never returned.
This is the discipline that separates an engineered launch from a hopeful one: treating the launch window as a learning machine, not a fireworks display.
Phase Three — Activation, Lifecycle & The First 90 Days (Months 3–5)
Acquisition got users to the door. Phase Three kept them inside.
We implemented and optimised the onboarding flow to drive new users to the activation moment quickly, and built a lifecycle programme — push, in-app, and email — designed to bring users back at the moments that mattered, fighting the wellness-category retention cliff directly rather than hoping the product alone would hold them. Across the first 90 days live, we ran continuous optimisation: tightening the store conversion, refining the winning channels, and improving the activation and retention loops based on real cohort behaviour. By the end, Tide had not just a successful launch but a *running engine* — a validated channel, a known cost per activated user, and a retention loop the founders could keep scaling.
- Result We Make
5 months in, Tide had what the build-it-and-they-will-come plan would never have produced: a front door, and a steady stream of the right people walking through it and staying.
Acquisition Engine
– A validated primary acquisition channel with a sustainable, known cost per activated user — a repeatable engine rather than a one-off launch spike
– A working store conversion surface that turned listing visits into installs at a rate well above the team’s pre-launch assumptions
Activation & Retention — The Metrics That Mattered
– Onboarding drove a strong share of new users to the **activation moment**, the single best predictor of whether they’d stay
– Early **retention held materially better than the wellness-category norm**, indicating real product-market fit signals rather than vanity downloads — exactly the outcome the engagement was built around
Clarity & Control
– The founders ended the engagement with **full visibility** into what drove installs, activation, and retention — and a running engine they could keep scaling rather than a campaign that ended
- How We Work —
Every launch we engineer starts before launch, with a question most teams skip: *what’s the moment a new user has to reach for them to stay, and how do we point every acquisition dollar at getting them there?* If we can’t answer that, we’re just buying installs into a leaky bucket.
From there we build the store presence as a conversion surface, run disciplined channel tests that measure cost per *activated* user rather than per install, and stand up the onboarding and lifecycle loops that fight the retention cliff — all sequenced so the engine is running before the spend scales. We hand you a machine you understand and control, not a campaign that ends.
If you’ve built something good and you’re about to launch it into silence, we’d like to understand your user before proposing anything.
Ready to Build a Front Door for Your App?
A launch that’s a system, not a hope. Users who activate and stay. An engine you can keep scaling.