How do I get more downloads of my mobile app?

Download numbers feel like progress. They go up, the team feels good, and whoever owns growth gets to point at a chart that moves in the right direction. The problem is that downloads are an input, not an outcome. They tell you how many people showed up at the door. They say nothing about whether anyone stayed, found value, or ever came back a second time.

The question behind more downloads is almost always about building a product that grows on its own.

The real question behind "how do I get more downloads" is usually a different one: how do I build a product that grows? And that question has a much more interesting answer, because it pulls you away from ad spend and App Store rank and towards the parts of the product that actually drive compounding growth: what happens in the first sixty seconds, how clearly the listing sets expectations, whether the onboarding earns the next session, and whether the product itself gives people a reason to tell someone else about it.

This article works through each of those pieces in order, drawing on what we have learned building consumer apps across wellness, travel, fashion, and other lifestyle categories. The download number matters, but it matters last.

Why Download Numbers Lie

A rising download count is one of the most misleading signals a product team can watch. It feels like evidence that something is working, but it is only evidence that the top of the funnel is moving. What sits below that number, and what teams tend not to look at closely enough, is how many of those users open the app a second time, return on day three, or still have the app on their phone a month later.

According to Business of Apps, 77% of daily active users leave an app within the first three days of installing it. That figure covers the average. Even products with genuinely strong design and clear value see a 40 to 50 per cent drop in retention after day three. The gap between those two numbers is where good product decisions live, and it is also where download-focused thinking fails: you can pour users into the top of the funnel indefinitely, and if the product does not hold them, none of it compounds.

What makes this worse is the silence. Users rarely complain when they abandon an app. There is no cancellation form, no angry email, no support ticket. They simply stop opening it, and the team, seeing no negative feedback, assumes things are fine. As we often say internally, no news is not good news with mobile apps. Quite the opposite. The absence of complaint is the most common form of churn signal, and it takes deliberate measurement to see it.

The Retention Crisis Most Teams Are Ignoring

Around 25 per cent of mobile apps are used once and never opened again, according to Statista. One in four downloads ends after a single session. That is a structural failure in how the product communicates and delivers its value in the earliest moments.

Teams see their download numbers growing, which feels like health. What they are not watching closely enough is retention at day three, day five, and day seven. Those numbers tell a completely different story, and by the time the trend is obvious in the data, months of acquisition spend have already compounded the problem.

The shape of the crisis is usually the same. A product launches, downloads accumulate, and the team focuses on acquisition. Retention metrics exist somewhere in the analytics dashboard but get less attention because they are harder to explain to stakeholders and harder to attribute to specific decisions. Then, three or four months in, the daily active user count fails to grow despite healthy install numbers, and the team realises it has been filling a leaky bucket.

The fix is not a re-engagement campaign or a new notification strategy. Both of those are responses to a problem that already happened. The fix is designing for retention from the beginning, which means treating the first session as the product's most important feature, not as a formality before the real experience begins.

What Your App Store Listing Is Actually Doing to Your Churn Rate

A poorly constructed App Store listing does not just fail to attract downloads. It attracts the wrong ones, and wrong-fit downloads are expensive because they churn fast and skew your retention data in ways that are hard to unpick.

We worked on a gifting and wishlist platform where the client was reluctant to invest in App Store Optimisation. Their reasoning was that the product had strong referral mechanics built in, and word of mouth would carry the growth. Our view was that ASO remains essential regardless of how users arrive. The icon, the copy, the category, the screenshots: all of it needs to communicate what the product is clearly enough that the person downloading has already made an informed choice. People need to understand what they are getting before they tap install, so that those who do download are already pre-sold on the idea, and those who are not right for it self-select out.

A wrong-fit download costs the same as a good one but churns in hours rather than months.

We built an anonymous messaging app that required users to register before they could experience anything inside the product. Because we could not drip-feed value through the early onboarding flow, everything that would normally unfold through use had to be front-loaded into the App Store presence instead. Screenshots, copy, and listing structure all had to carry the full weight of communicating the product's purpose, because first-time users would hit a registration wall before they saw anything worth staying for. That project made the cost of a weak listing concrete: it does not just reduce downloads, it raises churn among the downloads you do get.

Treat your App Store listing as part of the product, not a marketing asset. The user experience begins the moment someone reads your description, not the moment they open the app.

The First 60 Seconds: Where Downloads Go to Die

The first sixty seconds inside an app are where most of the damage happens. Users arrive with a specific expectation, formed partly by the listing and partly by whatever prompted them to search in the first place. If the app does not confirm that expectation quickly, they leave. Not later, not after a few sessions. Within the first minute.

According to Think with Google, 21 per cent of users will give up on an app if they do not understand it immediately. That is before any friction, before a slow load time, before a confusing flow. Pure confusion, in the first moments, is enough to lose one in five of your new users.

The rating prompt problem

One of the most common mistakes we see in this window is the premature rating request. We have seen clients add a rating prompt that fires the moment a user opens the app for the first time. The user has not yet seen anything, done anything, or felt anything about the product, and they are already being asked to evaluate it. The ratings that come back are either deflated, because the prompt interrupts before value has landed, or meaningless, because the user taps a number to dismiss the modal and move on.

The prompt belongs after a genuinely positive moment: a task completed, a goal reached, something that gives the user a reason to feel good about the product. Placed there, it captures real sentiment and produces a rating that reflects actual experience. Placed at launch, it captures nothing useful and costs the user goodwill they had not yet spent.

Friction in the first session

Research from AppsFlyer suggests users who encounter friction in their first session are 2.7 times less likely to return by day seven. Friction in this context means anything that slows, confuses, or interrupts the user before they reach the moment the product was designed to deliver. Long registration flows, permission requests with no context, and onboarding screens that describe features rather than deliver them all contribute to that number.

Map the first sixty seconds of your app as though it were a physical space. Every door that sticks, every sign that is unclear, every unnecessary step before the user reaches the thing they came for is a reason to leave.

Onboarding as Acquisition Strategy

Onboarding is usually treated as a necessary piece of setup before the real product begins. The more useful way to think about it is as the product's first and most important retention mechanism, because getting someone through onboarding successfully is what turns a download into a user.

It stands to reason that users who have not experienced genuine value within two weeks are far more likely to churn. That window is tight, and most of it is consumed by the onboarding experience itself. Which means onboarding is not a gateway to value: it is where value either lands or does not.

Good onboarding does three things in sequence. It confirms the user made the right choice by downloading. It gets them to a moment where the product does something useful for them. And it earns the permission to ask more of them later, whether that is completing a profile, enabling notifications, or connecting to another service. Reversing that order, asking before earning, is where most onboarding flows go wrong.

Onboarding also feeds acquisition indirectly. A user who reaches the product's core value in their first session is far more likely to tell someone else about it. Referral mechanics get a lot of attention in growth strategy, but they only produce results if the person doing the referring has actually experienced something worth referring. Onboarding that fails to deliver value early means referral loops that never fire, regardless of how well-designed the sharing mechanism is.

Building Growth Into the Product, Not Bolted On Afterwards

Growth features added after launch tend to underperform because they sit outside the product's natural flow. A share button added to a screen that was never designed with sharing in mind, or a referral scheme inserted into the settings menu, asks users to do something that does not feel like a natural part of using the product. The friction of that disconnect is small but real, and it compounds across a user base.

The travel OTA we worked on for younger adults, focused on group bookings, illustrates this clearly. We tried several growth tactics post-launch: referral discounts, push re-engagement, social sharing of itineraries, email campaigns. None of them moved the numbers in any meaningful way. What did move the numbers was a viral loop built directly into the booking flow itself.

When someone organised a group trip, the app prompted each individual traveller to download the product to submit their passport details and stay connected during the trip. One person booking for ten people instantly generated nine new instals, each of whom could then trigger their own group. The growth mechanism felt like a feature, not a campaign, because it was genuinely useful to the person being invited. That is what built-in growth looks like: the product creates a reason for one user to bring in another, and doing so feels like a natural part of using it.

Before adding a referral scheme or share mechanic, ask whether the product creates a natural moment where a user would want someone else to join. If that moment does not exist yet, build it first.

Re-engagement Tactics and When They Actually Work

Push notifications, email sequences, and in-app messages are all tools for re-engaging users who have gone quiet. They work when they are timely, relevant, and genuinely useful. They backfire when they are frequent, generic, or sent before the user has any reason to care.

The key discipline is evaluating every message against what the user is actually trying to do. A notification that serves the product's interests rather than the user's stated goal reads as noise, and repeated noise trains users to ignore everything you send, including the messages that would have been useful. Monitoring frequency and relevance is not a nice-to-have: it is the difference between a re-engagement channel that works and one that accelerates churn by making the app feel demanding rather than helpful.

When to ask for a rating

Re-engagement and social proof are related. A rating prompt sent at the right moment, after a user completes a workout, finishes an order, or logs a personal best, functions as both a feedback mechanism and a signal that the product is paying attention to what the user has achieved. The same prompt sent at the wrong moment, on launch, or after a friction-heavy flow, damages both the rating and the relationship.

Behaviour-based rewards over blanket achievements

Re-engagement works best when it is personalised to behaviour rather than tied to platform-wide milestones. Rewarding a user for opening the app three times this week, or for completing a set of tasks they defined themselves, recognises real individual progress. It is more personal and harder to ignore than a generic achievement badge. That specificity is what makes the difference between a notification that feels like it was written for the user and one that feels like it was written for a segment.

The Metrics Worth Measuring Instead

Downloads are worth knowing. They are not worth optimising around. The metrics that actually reflect product health are the ones that sit downstream of the install, and they deserve at least as much attention as acquisition numbers.

Below are the figures worth tracking in parallel with download volume.

The pattern to watch for is a rising download count alongside flat or declining retention. That combination means acquisition is doing its job but the product is not holding what it earns, and no amount of spend on the former will fix a problem that lives in the latter. Growth compounds when retention holds. It drains when it does not.

Conclusion

Getting more downloads is a legitimate goal. Building a product that earns and keeps users is the only way to make downloads mean anything. The two are connected, but in a specific order: a product that retains users generates word of mouth, positive ratings, and referral loops that lower the cost of acquisition over time. A product that does not retain users needs to spend continuously just to stay still.

The places where that retention is won or lost are predictable. The App Store listing sets expectations before the first tap. The first sixty seconds either confirm those expectations or undo them. Onboarding either delivers a moment of genuine value or asks the user to trust that one is coming. The product's core flows either give users a natural reason to invite someone else, or they do not. And the re-engagement layer either respects the user's time and goals, or trains them to ignore everything you send.

None of this requires a bigger budget or a longer roadmap. It requires looking at the right numbers, in the right sequence, and treating the post-download experience as seriously as the pre-download one. The download is the beginning of a relationship that the product has to earn, one session at a time.

If your download numbers are moving but your product does not feel like it is growing, the answer is almost certainly inside the product rather than above it. Let's talk about your app's retention and growth strategy.

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