TLDR;
- Stop obsessing over a low Cost Per Install (CPI). It's a vanity metric that leads to acquiring low-quality, non-paying users. The only metric that matters is Lifetime Value (LTV).
- Your ideal customer isn't a demographic; it's a person with a specific, expensive, urgent problem your app solves. Define them by their pain, not their age or location.
- The core of profitable scaling is math. You must calculate your LTV to know how much you can actually afford to spend to acquire a user. Use our interactive LTV calculator in this guide to find your number.
- Your "offer" isn't your app; it's the moment of value you provide. Ditch aggressive paywalls for free trials or freemium models that let the product sell itself.
- Don't just run 'app install' campaigns. To find paying users, you must tell the ad platforms to find them by optimising your campaigns for deeper, more valuable events like free trial starts or first purchases.
If you're an app founder, you've probably been told the same story. Get your Cost Per Install (CPI) as low as possible. Drive thousands of downloads. Get to the top of the charts. It's a seductive idea, and it's also the fastest way to burn through your funding and end up with a user base full of people who open your app once and then forget it exists. You're paying ad platforms to find you the worst possible customers.
The truth is, scaling user acquisition isn't about getting more users. It's about getting more of the *right* users, profitably. It's a system, not a lottery. And it starts by throwing out the rulebook that tells you to chase cheap installs. I've seen it time and again; we once worked with a medical job matching app whose initial CPA was over £100. By focusing on the right users and optimising for value, not volume, we brought that down to just £7. This guide will show you the framework to do the same.
The Great Lie of App Marketing: Why Your Cost Per Install (CPI) is a Vanity Metric
Let's be brutally honest. When you set up a campaign on Meta or Google and choose 'App Installs' as your objective, you're giving the algorithm a very specific, and very flawed, instruction: "Find me the cheapest people who are most likely to download an app."
The algorithm is incredibly good at its job. It will dutifully go out and find people who download apps all the time. People who are bored, scrolling, and have no issue clicking 'Install' on a free app. But these are rarely the people who will ever open their wallets. They are not in high demand by other advertisers, so their attention is cheap. You are literally paying the world's most powerful advertising machines to find you an audience of non-customers. It's an expensive way to fill up a spreadsheet with download numbers that dont mean anything.
This is why you see promising apps with tens of thousands of downloads that have zero paying users. They optimised for a meaningless number. The first and most important shift you must make is to stop asking "How low can my CPI go?" and start asking "How much can I afford to pay for a user who will actually stick around and pay me?" The answer to that question changes everything. This is why a proper app ad strategy must target high-value users, not just installs, if you want any hope of building a sustainable business.
Your Ideal User is a Nightmare, Not a Demographic
Forget the user personas your team spent weeks creating. "Sarah, 25-34, lives in London, interested in wellness" tells you absolutely nothing useful for advertising. It's generic, lazy, and leads to ads that are completely ignored. To stop burning cash, you have to define your customer by their pain. By their specific, urgent, career-threatening, or life-disrupting nightmare.
Your Ideal Customer Profile (ICP) isn't a person; it's a problem state.
-> For a budgeting app: The nightmare isn't 'needing to manage money'. It's the gut-wrenching anxiety of checking your bank account at the end of the month, terrified you won't have enough to cover rent. It's the shame of telling your friends you can't come out again because you're broke.
-> For a productivity app for developers: The nightmare isn't 'needing to organise tasks'. It's the Head of Engineering getting pulled into a last-minute meeting with the CEO to explain why the flagship project is delayed *again*, knowing her best developers are about to quit out of sheer frustration with a chaotic workflow.
-> For a meditation app: The nightmare isn't 'feeling a bit stressed'. It's waking up at 3 AM with your heart pounding, unable to shut off the racing thoughts about work, family, and the future, feeling completely overwhelmed and alone.
Once you've isolated this nightmare, your targeting becomes laser-focused. You're not looking for "people interested in wellness." You're looking for people who follow specific anxiety coaches on Instagram, who are members of 'High-Stress Professionals' LinkedIn groups, who search Google for "how to stop panic attacks at night." This deep understanding of their pain is the foundation of every ad you'll ever write and every audience you'll ever target. Do this work first, or you have no business spending a single pound on ads.
The Only Math That Matters: Calculating Your Customer Lifetime Value (LTV)
Profitable scaling is built on a simple peice of maths. You need to know what a customer is worth to you over their entire relationship with your app. This number, the Lifetime Value (LTV), is your north star. It dictates your budget, your strategy, and ultimately, your success. Without it, you are flying blind.
The calculation isn't as scary as it sounds. It breaks down into three core components:
1. Average Revenue Per User (ARPU): How much money, on average, does a single user generate in a specific period (usually a month)? This includes subscriptions, in-app purchases, and any other revenue streams.
2. Gross Margin %: What percentage of that revenue is actual profit after accounting for costs directly associated with providing the service (like App Store fees, server costs, etc.)? For many software apps, this is quite high, often 70-90%.
3. Monthly Churn Rate %: What percentage of your users cancel their subscription or stop being active each month? This is the most critical number. A small change in churn can have a massive impact on LTV.
The formula is straightforward:
LTV = (ARPU * Gross Margin %) / Monthly Churn Rate
Let's run an example. Say your app has a £10 monthly subscription (ARPU). Your gross margin is 80% after Apple's cut. And you lose 5% of your subscribers each month (Monthly Churn).
LTV = (£10 * 0.80) / 0.05
LTV = £8 / 0.05 = £160
In this scenario, each new subscriber is worth £160 in gross margin to your business. This number is your permission to spend. It's the foundation for everything that follows. Understanding this is so important that we built our entire guide to Apple Search Ads budgeting around this single concept.
Use the calculator below to figure out your own LTV. Play with the numbers. See how a small reduction in churn can dramatically increase the value of every user you acquire.
From LTV to War Chest: How to Set a Profitable Acquisition Budget
Now that you have your LTV, you can stop guessing and start calculating. You can build a war chest for user acquisition that is based on data, not hope. The next step is to determine your maximum allowable Customer Acquisition Cost (CAC). This is the most you're willing to spend to get a new paying customer.
A healthy, sustainable business model typically aims for a LTV to CAC ratio of 3:1 or higher. This means for every £1 you spend on acquiring a customer, you get at least £3 back in lifetime gross margin. This gives you enough profit to cover all your other business costs (salaries, R&D, office space) and still have room to grow.
Max CAC = LTV / 3
Using our previous example with an LTV of £160:
Max CAC = £160 / 3 = ~£53.33
This means you can afford to spend up to £53 to acquire a single new subscriber and still maintain a healthy business. Suddenly, a £2 CPI doesn't look so good if only 1 in 50 of those installs converts to a paying customer (an effective CAC of £100). But a £20 Cost Per Trial might be an absolute bargain if 1 in 2 of those trials converts to a subscriber (an effective CAC of £40).
This is the math that unlocks aggressive, intelligent growth. It frees you from the tyranny of cheap leads and allows you to confidently invest in channels that deliver real, valuable customers. It’s also the first step if you have a significant ad budget to deploy; without these numbers, you’re just gambling. Founders often ask for tips on how to spend an ad budget for app installs, and my first answer is always: calculate your LTV and max CAC first.
Choosing Your Battlefield: Which Ad Platform Actually Delivers Paying Users?
Not all platforms are created equal. Where you spend your money is just as important as how much you spend. Your choice of platform should be dictated by where your 'nightmare ICP' spends their time and their mindset when they are there.
Here’s a quick rundown of the main players for app promotion:
Meta (Facebook & Instagram): The king of passive discovery. People aren't here to look for your app, so you have to interrupt them with a compelling creative that speaks directly to their pain point. Its targeting capabilities are immense, allowing you to build audiences based on interests, behaviours, and lookalikes of your best existing users. It's often the best place to start for consumer apps, especially those with strong visual appeal. We've seen incredible results here, like generating over $115k in revenue for a course creator or driving over 5,000 software trials at just $7 per trial, all using Meta Ads.
Google App Campaigns (GAC): This is Google's all-in-one solution for app promotion across its network (Search, YouTube, Play Store, Display). It's heavily automated, you provide the assets (text, images, video) and tell it your goal (e.g., installs or in-app actions at a target cost), and the machine learning does the rest. It's powerful for capturing intent, especially on the Play Store and Search, when someone is actively looking for a solution like yours. Getting app downloads with Google Ads requires feeding the algorithm high-quality data on what a good user looks like.
Apple Search Ads (ASA): The highest-intent channel, period. You are bidding on keywords to appear at the top of the App Store search results, at the exact moment a user is looking for an app. The conversion rates can be incredible, but it's a competitive space, especially for popular terms. It’s an absolute must for any app on iOS. Many founders in competitive markets like London struggle here, but a focus on LTV can make all the difference in crafting a winning Apple Search Ads budget for the London market.
TikTok Ads: Amazing for reaching a younger demographic with authentic, user-generated-style content. It’s a creative-first platform. A polished corporate video will die a quick death, but a genuine-looking video that feels native to the platform can go viral and drive huge volumes of installs. The cost can be low, but user quality can vary wildly, so tracking post-install events is absolutely critical.
To help you decide, here's a visual breakdown of how these platforms stack up against each other.
Low. Users are scrolling, not searching. You must create demand.
Very High. Detailed interests, behaviors, and powerful lookalikes.
Massive. Huge user base allows for significant budget scaling.
Medium-High. Captures users searching on Google and the Play Store.
Low. It's a "black box" system, you provide assets and goals only.
Very High. Taps into Google's entire network.
Highest. Users are actively searching for an app in the App Store.
Medium. Keyword-based, with some demographic layering.
Limited by search volume. Can't spend more than people search.
Very Low. Purely entertainment-driven discovery.
High. Good interest and behavior options, strong algorithm.
High, especially with winning creative that resonates.
Your Offer is Broken: Stop Asking for the Install, Start Delivering Value
Here's a common scenerio: an app founder spends thousands on ads, gets a decent number of downloads, but finds they are unable to acquire any paying users. The problem often isn't the ads. It's the offer.
Your "offer" is not your app. It's the entire journey from seeing an ad to experiencing a moment of genuine value inside your product. The most common failure point is putting up a paywall too soon. Asking a brand new user to pay for a subscription before they've even understood how your app solves their problem is like asking someone to marry you on the first date. It's high-friction, low-value, and an instant turn-off.
The goal is to create a Product Qualified Lead (PQL) – a user who has experienced the core value of your app for themselves and is now convinced it's worth paying for. The best way to do this is through:
-> A generous free trial (no card details required): Let them use the full, premium version of your app for 7, 14, or even 30 days. Let them integrate it into their lives. Let the product do the selling. When the value is undeniable, converting them at the end of the trial becomes a formality.
-> A robust freemium model: Offer a core version of your app for free, forever. This removes all friction to getting started. Once users are hooked on the free features, you can upsell them on premium features that solve an even bigger problem or provide even more value. This model is powerful but requires a large user base to be effective.
Your onboarding process is a critical part of the offer. Don't just dump a user into a blank screen. Guide them. Show them the one or two key actions they need to take to experience that "aha!" moment as quickly as possible. The sooner they solve a small part of their problem with your app, the more likely they are to stick around and eventually pay you to solve the whole thing.
Creative That Converts: How to Stop Thumbs and Start Installs
In the world of mobile ads, your creative does 80% of the heavy lifting. You can have the best targeting in the world, but if your ad looks like every other generic, corporate ad, it will be ignored. Your ad's only job is to stop the scroll and speak directly to the user's pain.
Forget feature lists. Nobody cares that your app has 'AI-powered synergy' or 'blockchain integration'. They care about what it does for them. The most effective ad creative follows simple, powerful copywriting frameworks:
1. Problem-Agitate-Solve (PAS):
- Problem: Call out their nightmare directly. "Tired of your AWS bill giving you a heart attack every month?"
- Agitate: Pour salt on the wound. "Engineers have no idea where the spend is coming from, and you're stuck explaining the overage to the CFO."
- Solve: Introduce your app as the hero. "Our FinOps platform gives you a clear view of every dollar, flags waste automatically, and helps you build a culture of cost-accountability. Download and find your first £1,000 in savings today."
2. Before-After-Bridge (BAB):
- Before: Paint a picture of their current, painful reality. "Imagine opening your photo library. It's a chaotic mess of 10,000 unsorted photos, duplicates, and blurry screenshots."
- After: Show them the promised land. "Now, imagine a perfectly organised library, where every memory is easy to find, duplicates are gone, and you have gigabytes of space back on your phone."
- Bridge: Position your app as the way to get there. "Our app is the bridge. It intelligently sorts, deletes, and organises your photos in minutes. Get your free scan now."
For video, the rules are even simpler: make it look native. User-Generated Content (UGC) style videos, shot on a phone in portrait mode, consistently outperform slick, high-production ads. It feels more authentic, more trustworthy, and it's what users are already accustomed to seeing in their feeds. A complete Google App Ads creative strategy should be built around this principle of authenticity and problem-solving.
The Scaling Engine: Structuring Campaigns for Profit, Not Hope
Once you have winning creative and a solid offer, it's time to build a campaign structure that allows you to scale predictably. This isn't about just throwing more money at a single campaign. It's about creating a systematic engine for user acquisition.
The biggest mistake is optimising for the wrong event. As we've discussed, optimising for 'Installs' gets you low-quality users. To find high-value users, you MUST optimise your campaigns for events that happen deeper in the funnel and are more closely correlated with revenue.
Your campaign structure should mirror the user journey:
1. Top of Funnel (ToFu) - Prospecting: This is where you find new users who have never heard of you. Your goal here is to drive high-quality traffic to your app store page. You'll target broad audiences, interest-based groups, and lookalikes of your existing users. The key here is to optimise for an event like 'Free Trial Start' or 'Registration Complete', NOT just 'Install'. You're telling the algorithm "Don't just find me people who will install, find me people who look like the ones who actually start a trial."
2. Middle of Funnel (MoFu) - Nurturing: This involves retargeting users who have installed the app but haven't yet taken a key action (like starting a trial or making a purchase). You can show them ads that overcome common objections, highlight specific use cases, or remind them of the value they're missing out on.
3. Bottom of Funnel (BoFu) - Conversion: This is for retargeting your most valuable prospects—users who started a trial but didn't convert, or those who added a product to their cart but didn't purchase. The messaging here should be direct, perhaps with a special offer or a sense of urgency to get them over the line.
This funnel approach allows you to speak to users differently based on how familiar they are with your app, leading to much higher conversion rates and a more efficient use of your ad spend. It's the core of how you can properly scale app installs with a complete user acquisition guide that actually works.
Reach cold audiences based on interests and lookalikes.
Retarget users who installed but haven't activated.
Retarget trial users to convert them to paying subscribers.
If You Can't Measure It, You Can't Scale It: The Truth About App Tracking
None of this works if your tracking is broken. You can have the best strategy in the world, but if you can't accurately attribute which ads are driving valuable users, you're just throwing money into a black hole. This is non-negotiable.
To do this properly, you need a Mobile Measurement Partner (MMP). Tools like AppsFlyer, Adjust, or Branch are the industry standard. An MMP acts as an unbiased third party, connecting the dots between an ad click and an in-app action (like an install, a registration, or a purchase). It's the source of truth for your marketing data.
The post-iOS 14 world has made this more complex, with Apple's SKAdNetwork framework limiting the data advertisers receive. However, an MMP is essential for navigating these changes and getting the clearest possible picture of your performance. A proper Meta Ads app install tracking setup is the difference between data-driven decisions and blind guesswork.
Your tracking setup should go beyond just installs. You need to configure your app's Software Development Kit (SDK) to send a rich set of in-app events back to your ad platforms and your MMP. These events should include:
- Registration Complete
- Trial Started
- Tutorial Completed
- First Purchase
- Subscription Renewed
By tracking these events, you can not only see which campaigns are driving the most installs, but which ones are driving the users with the highest LTV. This allows you to double down on what's working and cut what's not, creating a powerful feedback loop that consistently improves your ROAS (Return On Ad Spend). Without this data, you're simply gambling, and the house always wins.
The Final Hurdle: When to Go It Alone vs. Hiring an Expert
You can absolutely implement this framework yourself. It takes time, dedication, and a willingness to get your hands dirty with data. For many early-stage founders, this is the only option. However, as you start to scale and your ad spend increases, the cost of making a mistake grows exponentially.
The question becomes one of opportunity cost. Is your time better spent becoming a world-class performance marketer, or is it better spent improving your product, talking to customers, and building your team? For most founders, the answer is the latter.
A true app ads expert or a specialised agency doesn't just run ads. They bring a strategic framework, years of experience from seeing what works (and what doesn't) across dozens of apps, and the technical expertise to navigate the complexities of tracking and attribution. When looking for help, don't just search for a local agency. The best talent might not be in your city, which is why we argue that focusing on a local Google App Ads expert is often a waste of money. Look for a specialist.
When vetting potential partners, ask them these questions:
- How do you measure success beyond the Cost Per Install?
- What is your approach to calculating LTV and setting a target CAC?
- Can you show me a case study where you scaled an app profitably based on in-app events?
- How do you approach creative testing and development?
If their answers revolve around cheap installs and vanity metrics, run away. If they talk about LTV, ROAS, and cohort analysis, you might have found a winner. Finding the right partner isn't easy, but our ultimate guide to finding an app ads expert can steer you in the right direction.
Scaling user acquisition profitably is one of the hardest challenges a mobile app founder will face. It’s a journey from hopeful guessing to data-driven certainty. It requires a fundamental shift in mindset away from chasing empty downloads and towards acquiring valuable, long-term customers.
By defining your user by their pain, calculating their true lifetime value, building a value-first offer, and measuring what actually matters, you can build a sustainable growth engine that fuels your app's success for years to come.
If you've read this far and feel overwhelmed, or if you're spending money on ads and not seeing the profitable results you need, it might be time for a second opinion. We offer a free, no-obligation strategy session where we can dive into your app, your data, and your goals to identify your biggest opportunities for profitable growth. Sometimes an expert eye is all it takes to see the path forward.