--- title: When should you spend more on your app? description: Find out when your app genuinely needs more investment, from failing onboarding and poor retention to weak App Store presence and word-of-mouth limits. image: https://weareaffective.com/hubfs/learning-centre-images/when-should-you-spend-more-on-your-app.webp --- [Skip to content](https://weareaffective.com/learning-centre/when-should-you-spend-more-on-your-app#main-content) [![we\_are\_affective\_logo\_200](https://weareaffective.com/hs-fs/hubfs/we_are_affective_logo_200.png?width=175&height=48&name=we_are_affective_logo_200.png "we_are_affective_logo_200")](https://weareaffective.com) - [Home](https://weareaffective.com) - About Us - [Our Story](https://weareaffective.com/about) - [How We Work](https://weareaffective.com/how-we-work) - Our Services - [App Planning & Strategy](https://weareaffective.com/app-planning-strategy) - [App Design](https://weareaffective.com/app-design-agency) - [App UX Design](https://weareaffective.com/app-ux-design) - [App UI Design](https://weareaffective.com/app-ui-design) - [App Technical Architecture](https://weareaffective.com/app-architecture) - [Existing App Audits](https://weareaffective.com/app-audit) - [Case Studies](https://weareaffective.com/case-studies) - [Pricing](https://weareaffective.com/pricing) - [Learning Centre](https://weareaffective.com/learning-centre) - [Get Started](https://weareaffective.com/get-started) Expert Guide Series # When should you spend more on your app? Table of Contents A client came to us once with a music app they had spent months building. The content was good, the design was clean, and they had priced the product to reflect [what it had cost them to make](https://weareaffective.com/app-development-cost). Our advice was direct: nobody will actually pay what you think it should be worth, and they should be looking at it as a volume product. The client disagreed, held the higher price, and sold very little. The app was not the problem. The commercial model around it was. > The question is never whether to spend more. It is whether the conditions exist for that spend to produce a return. That story sits with us because it gets at something founders rarely frame clearly. Spending on an app and investing in an app are different things. The first is a cost you are trying to recover. The second is a commitment to building something that compounds over time, through retention, volume, and growth that takes longer than a product launch to arrive. So the question worth asking is never simply "should we spend more?" It is whether the conditions exist for more spend to produce a return. And that depends entirely on where you are in the product cycle, what your data is telling you, and whether you have fixed the foundations first. ## The Real Cost of Underinvesting Underinvestment rarely looks dramatic. There is no moment where the product visibly fails. What happens instead is slower and harder to catch: [users download, open the app once or twice, and disappear](https://weareaffective.com/learning-centre/what-curiosity-looks-like-in-a-first-session-and-why-most-products-design-past-i). No complaint. No cancellation email. Just silence, and a retention curve that keeps dropping. This is the trap we have watched teams fall into on real projects. On a water tracking app we developed, we were interpreting the absence of negative feedback as a signal that things were going well. The retention data told a different story. We were losing users in the first days at a rate consistent with the broader industry: around 77 per cent of apps lose daily active users within three days of install, according to [Andrew Chen's analysis](https://andrewchen.com/new-data-shows-why-losing-80-of-your-mobile-users-is-normal-and-that-the-best-apps-do-much-better/). Even strong products typically see a 40 to 50 per cent drop over the same period. The gap between those two numbers is where underinvestment lives. The problem with cutting corners on UX, onboarding, or App Store presence is that the effects do not announce themselves. Revenue does not fall off a cliff. It simply never builds. And by the time the data is clear enough to act on, a significant portion of the addressable audience has already formed an opinion about the product and moved on. Spending more at the right moment prevents that. Spending more at the wrong moment, or without understanding what is actually broken, just accelerates the loss. ## When Retention Data Should Trigger More Spend Retention is the most reliable signal you have. If users are not coming back, more acquisition spend will not fix anything, it will just deliver more people to a leaky product. The question is knowing which retention numbers should actually prompt action. A healthy, rank-worthy iOS app needs Day 1 retention above 35 per cent and Day 7 retention above 15 per cent, according to [Coderio benchmarks](https://www.coderio.com/blog/software-development/app-maintenance-right-update-frequency/). If you are sitting below those numbers, spending more on paid acquisition is the wrong move. The right move is [understanding why users are leaving and fixing it](https://weareaffective.com/learning-centre/what-a-development-team-actually-needs-to-know-about-the-user-before-sprint-one) before you scale. On the water tracking app we built, the retention drop was real and early. The instinct in that situation is often to add features, to give users something new to come back for. We have seen that play out badly. On an auction game we worked on, the client wanted to keep adding features as engagement dropped. We focused on the core user journey instead, specifically on the experience of coming in and playing the game, and that is where the improvement came from. Ancillary features had not caused the problem and could not solve it. Before increasing any budget, pull your Day 1, Day 7, and Day 30 retention figures and set them against category benchmarks. If the gap is large, the problem is almost certainly in the core experience, and that is where the money needs to go first. Retention data is also the one place where silence is never good news. Users who stop returning rarely tell you why. The data has to do the talking, and it needs someone willing to read it honestly. ## UX/UI design built around *real* psychology We design app interfaces around how people actually think and behave. User research, psychology-driven UX/UI design and technical specs delivered as one complete package. [See how we work](https://weareaffective.com/how-we-work) [Get started](https://weareaffective.com/get-started) No commitment ## When Onboarding Is Failing You Poor onboarding is probably the most common reason a good product underperforms. The user has downloaded the app, which means they were already interested enough to act. What happens in the next few minutes determines whether that [interest converts into habit or into an uninstall](https://weareaffective.com/learning-centre/when-users-blame-themselves-for-your-confusing-app-youve-already-lost-them). Every extra step in onboarding adds friction, and friction compounds. According to [UXCam's engagement research](https://uxcam.com/blog/mobile-app-engagement-metrics/), each additional onboarding step can increase churn by 20 per cent. When we built an anonymous messaging app that required upfront registration before users could experience anything, we had to rethink the entire onboarding model. Because we could not drip-feed value inside the app, all the messaging that would normally unfold through use had to be front-loaded into the App Store presence instead. The app store listing, the screenshots, the copy, all of it had to work harder to communicate what the product was before anyone opened it. > Onboarding is where interest converts into habit, or into an uninstall. That experience shaped how we think about onboarding investment. If you ask for permissions before a user understands the value they are unlocking, you lose them. If you require registration before showing anything useful, you lose them. The spend required to fix those problems is almost always less than the revenue lost from not fixing them. Map every step a user takes before they experience the core value of your product. If that number is above three or four, look hard at what can be removed or deferred before you consider any other investment. The goal is to get users to a moment where they feel the product is worth their time. Everything before that moment is a cost the user is paying. Spend the budget on reducing that cost. ## When Your App Store Presence Is Doing the Wrong Job The App Store is the first place most users form an opinion about your product, and it does that work in a few seconds. About 90 per cent of users do not scroll past the third screenshot, according to [ASOMobile's 2025 guide](https://asomobile.net/en/blog/screenshots-for-app-store-and-google-play-in-2025-a-complete-guide/), which means those first three images are doing the majority of the persuasion work before a single word of copy is read. #### What a weak App Store listing costs you 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 was social and group-oriented, so word-of-mouth would carry it. Our position was that ASO matters regardless of referral mechanics. The icon, the copy, the category, the screenshots, all of it needs to be clear enough that users can decide whether the product is for them before they download it. The goal is to ensure that people who download are already pre-sold, which reduces churn from users who install and then realise it is not what they expected. #### Category selection changes your ranking trajectory Category choice also shapes how visible your product becomes. Where a product could plausibly sit in more than one category, launching in the less competitive one first generates more organic impressions and downloads from a standing start. Once traction builds, moving into the primary category becomes a more viable option. Arriving at a competitive category with usage data behind you is a very different position to arriving with nothing. An App Store listing that fails to communicate the product clearly sends the wrong users to your onboarding and sets up the churn the rest of the product is trying to prevent. ## When Scope Creep Is Draining Your Budget Before Launch Scope creep is one of the most expensive problems in app development, and it is almost always invisible until it is too late. Features get added one at a time, each one justified in isolation, and the budget doubles while the launch date moves further away. We warned the client on a sports club app project early on that the budget would get out of control and that they were in danger of running out of funding before publishing anything. The warnings were acknowledged and then ignored. Feature after feature was added across twelve to fourteen months of development. At the end of it, the entire budget was spent, nothing had reached the App Store, and the client and agency parted ways. What should have been in market within three to four months had never launched at all, and the budget had nearly doubled. The lesson is that launching something and then iterating based on real feedback is almost always a better use of money than trying to build everything before anyone has seen it. Spending more before launch only makes sense if the resources exist to sustain it. For most projects, they do not. | Approach | Time to market | Budget risk | User feedback | | --- | --- | --- | --- | | Launch MVP, iterate | 3 to 4 months | Low | Real, early | | Build everything first | 12 to 18 months | High | None until late | The sports club app is the clearest version of this we have seen, but the pattern is common. Teams resist an iterative process because they want the finished product. The finished product never arrives. ## When Word-of-Mouth Is Not Enough on Its Own Word-of-mouth is a real growth mechanism. For some products, particularly social or group-oriented ones, it is a powerful one. But it has a ceiling, and that ceiling arrives faster than founders usually expect. The gifting and wishlist platform we worked on is a good example of where word-of-mouth confidence can lead. The client believed that because the product was inherently social, users sharing it with friends would drive enough growth that ASO investment was unnecessary. The flaw in that logic is that word-of-mouth brings people to the App Store, and what they find there still has to do its job. A referral gets someone to the listing. The listing has to close the conversion. The other limit of word-of-mouth is that it scales with your existing user base. At the start, that base is small, and even strong referral rates produce modest absolute numbers. Paid channels, ASO investment, and content all do different work: they bring people in who have no existing relationship with the product or its community. Track where your installs are coming from and what the conversion rate is from each channel. If word-of-mouth traffic is converting well but the volume is flat, the product is working and the distribution needs investment. If conversion is low across all channels, fix the listing or the onboarding before spending on acquisition. Relying on word-of-mouth alone is a starting point. At some stage, almost every product needs to spend money to reach beyond the people who already know it exists. ## How to Measure Whether More Spend Is Justified More spend is justified when the product is working and the constraint is reach. It is not justified when the product is losing users and the hope is that more users will compensate. Before committing to increased investment, the answers to a handful of questions will tell you which situation you are in. 1. What is your Day 1 retention rate, and how does it compare to the 35 per cent benchmark for iOS? 2. What is your Day 7 retention rate, and is it above 15 per cent? 3. Where in the user journey are people dropping off, before onboarding, during it, or after? 4. What is your install-to-activation rate, and how do you define activation? 5. Are users who stay beyond Day 7 generating revenue or referrals? If retention is strong and activation is working, more spend on acquisition makes sense. If retention is weak, the product needs fixing first. Spending on acquisition into a product with a Day 30 retention rate below five per cent is burning money into a structure that cannot hold it. #### What the data actually needs to show On the water tracking app, the retention data revealed early churn we had been misreading as stable behaviour. The absence of complaints had felt like a signal that things were fine. It was not. The data forced a more honest read of what was happening, and that read changed where the investment went. That kind of honest accounting is the prerequisite for any spending decision to make sense. ## What Increased Investment Should Actually Buy When the conditions are right, more spend should go to specific, measurable things. Not to more features. Not to marketing before the product is ready. To the parts of the experience that directly affect whether users stay. On the anonymous messaging app, increased investment went into [out-of-app content and App Store optimisation](https://weareaffective.com/learning-centre/what-makes-app-tutorial-content-that-people-actually-want-to-watch), because that was where the constraint was. Users could not experience the product before registering, so everything that would normally communicate value inside the app had to happen in the listing instead. The [screenshots, the copy, the category](https://weareaffective.com/learning-centre/5-things-that-make-the-difference-between-so-so-apps-and-stellar-apps-what-your-), all of it had to work harder than it would on a product with a more open onboarding model. The spend was targeted at a specific problem, and the problem was real. #### Where the money tends to produce returns In our experience, the areas where increased investment produces the clearest returns are onboarding simplification, App Store presence, and retention mechanics in the first seven days of use. These are not glamorous areas. They do not produce the kind of visible feature that a founder can point to in a pitch. But they are the places where users decide whether the product is worth their time, and that decision happens faster than teams typically account for. Bain and Company's research suggests that a [five per cent increase in retention can drive profits](https://weareaffective.com/learning-centre/how-to-make-the-commercial-case-for-experience-investment-in-a-boardroom-that-on) up by as much as 95 per cent. The number is striking, but the logic is straightforward: retained users generate compounding revenue, and the cost of acquiring a replacement for a churned user is significantly higher than the cost of keeping one. Investment in retention is investment in the foundation the rest of the business sits on. ## Conclusion The decision to spend more on an app is a diagnostic question. The money needs to go somewhere specific, for a reason you can name, and into a product that is structurally capable of holding the investment. Spending more into a leaky product just produces a faster leak. What we have found across the projects we have worked on is that the teams who get this right are the ones who read their retention data honestly, resist the pressure to add features when the core experience is broken, and treat the App Store as a product surface rather than an afterthought. The sports club app is the cautionary version of this. The anonymous messaging app and the gifting platform are the cases where targeted investment in specific problems produced specific results. The music app client who held their price and sold very little is also part of this. Not because pricing is the whole story, but because it illustrates the mental model that causes most of these problems: treating a consumer app as a cost to be recovered rather than a product to be grown over time. The recovery mindset pushes you toward the wrong decisions at almost every stage. If you are trying to work out whether your app needs more investment, and where that investment should actually go, [let's talk about your product](https://weareaffective.com/get-started). ## Frequently Asked Questions What is the difference between spending on an app and investing in one? Spending on an app is treated as a cost you are trying to recover, often linked to what development actually cost you. Investing in an app means committing to something that compounds over time through retention, volume, and growth that takes longer than a launch to arrive. How do I know if I have underinvested in my app? Underinvestment rarely announces itself through dramatic failure. The most common sign is users downloading the app, opening it once or twice, and then disappearing without complaint, leaving you with a retention curve that quietly keeps dropping. What retention figures should I be aiming for on iOS? A healthy, rank-worthy iOS app needs Day 1 retention above 35 per cent and Day 7 retention above 15 per cent. If your numbers sit below those benchmarks, that is a signal to investigate why users are leaving rather than spending more on acquisition. Should I increase my paid acquisition budget if my app is not growing? Not if your retention figures are poor. Spending more on acquisition when users are not coming back simply delivers more people to a product that is not holding them. Fix the leaks first, then consider scaling your acquisition spend. Can pricing my app too high cause it to fail even if the product itself is good? Yes. A strong product can still underperform if the commercial model around it is wrong. Pricing based on what the app cost you to build, rather than what users are willing to pay, is a common mistake that limits volume and revenue. Why is the absence of negative feedback not a reliable indicator that things are going well? Users who are disappointed rarely complain. They simply stop using the app and move on, which means silence can mask serious retention problems. The retention data, not the feedback volume, is the more honest signal of how a product is actually performing. Which areas of an app are most affected by cutting corners on investment? UX, onboarding, and App Store presence are the areas where underinvestment tends to do the most damage. The effects are gradual rather than sudden, meaning revenue does not collapse but simply never builds to the level it could reach. When is the right moment to spend more on an app? More spend makes sense when the conditions exist for it to produce a return. 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