TLDR;
- Stop obsessing over cheap installs. Broad targeting finds you the worst users who churn instantly. Your high install count is a vanity metric that's burning your cash.
- The only goal that matters is acquiring users who stick around and perform valuable actions. You must shift your campaign optimisation from 'Installs' to in-app events like 'tutorial_complete' or 'first_purchase'.
- Fix your targeting with a tiered structure: Start with lookalikes of your best existing users, then re-engage lapsed users, and only then carefully test layered interest audiences.
- Your ads need to pre-qualify users. Ditch generic "Download Now!" copy and instead talk directly about the high-value outcomes your app delivers to filter out low-intent tappers.
- This guide includes an interactive LTV & Max CPA Calculator to help you figure out exactly how much you can afford to pay for a quality user, freeing you from the tyranny of cheap, useless installs.
Alright, let's talk about the biggest money pit in Google App campaigns: chasing a low Cost Per Install (CPI). You've followed the standard advice, set up a broad campaign, and watched the installs roll in. The numbers look great on a spreadsheet, but you've built an install graveyard. Thousands of downloads, a handful of active users, and a churn rate that makes your head spin. Sound familiar?
This happens because you've told Google's algorithm to find you the cheapest possible people to install your app. And it's done its job perfectly. It's found you the serial app downloaders, the people who tap on anything shiny, and the users who have zero intention of ever becoming a long-term, valuable part of your community. You're paying to acquire users who are hardwired to delete your app within 24 hours.
The solution isn't to find a "cheaper" way to get these same rubbish users. The solution is a complete change in mindset. You need to stop buying installs and start investing in retained users. This guide will walk you through the exact blueprint to do it.
So, why is your broad targeting strategy failing so badly?
Here is the brutal truth about awareness and install campaigns. When you set your campaign objective to 'App installs' and give it a wide-open targeting canvas like 'all of the UK, 18-65+', you're giving the algorithm a very specific, and very flawed, command: "Find me the largest number of installs for the lowest possible price."
The algorithm, being a ruthlessly efficient machine, does exactly what you asked. It scours its network to find users who are known to install apps frequently and cheaply. These users are cheap for a reason: they don't engage, they don't spend money, and they don't stick around. They are not in demand by other advertisers who are optimising for valuable actions, so their attention is sold at a discount. You are actively paying Google to find you the worst possible audience for your product's long-term health. One client we worked with came to us with a £100 CPA for their medical job matching SaaS; they were just burning cash on installs. By shifting the focus, we got that down to a £7 CPA. That's the difference between vanity and sanity.
Awareness is a byproduct of having a great app that solves a real problem, not a prerequisite for making a sale or getting a loyal user. True growth comes from getting your app into the hands of the right people, who then go on to become advocates. That only happens when you move beyond the install.
How do you redefine success and get Google to find you better users?
Before you touch your campaign settings, you need to fix your measurement. If you're only tracking installs, you're flying blind. The first, most critical step is to get your in-app conversion events set up and firing correctly. This is non-negotiable.
What are these events? They're the key milestones in your user journey that signal a user is engaged and finding value. They're different for every app, but here are some common examples:
- Onboarding: `tutorial_complete`, `registration_complete`
- Engagement: `level_achieved`, `content_view`, `session_start` (for day 2, day 7 etc.)
- Monetisation: `add_to_cart`, `begin_checkout`, `in_app_purchase`, `subscribe`
Once these are set up in Firebase or your mobile measurement partner (MMP) and imported into Google Ads, you can change your campaign's optimisation goal. Instead of telling Google "get me installs," you can now tell it "get me users who are likely to complete the tutorial" or, even better, "get me users who are likely to make an in_app_purchase."
This is a fundamental shift. The algorithm will now ignore the cheap, low-quality users and instead focus its energy on finding people whose behaviour patterns suggest they will perform your desired action. Yes, your CPI will go up. This is expected and it's a good thing. You're paying a premium for quality. A £5 CPI for a user who sticks around for 3 months and makes a purchase is infinitely better than a £0.50 CPI for a user who deletes your app in 5 minutes. Getting this right is often the first step to fixing stale app campaign results and building a real tROAS strategy.
What's the actual blueprint for targeting these high-value users?
Okay, so you've fixed your conversion tracking and changed your optimisation goal. Now, where do you point the ads? A single, broad audience is out. Instead, you need a structured, tiered approach that prioritises users based on their intent and value. This is how you build a scalable and profitable campaign structure.
The App User Retention Targeting Funnel
Tier 1: Re-Engagement (BoFu)
Targeting users who have installed but are now inactive. The goal is to bring them back.
Tier 2: Lookalikes (MoFu)
Creating audiences that mirror your best users (e.g., purchasers, Day 7 retained users).
Tier 3: Qualified Cold (ToFu)
Layered interests and competitor app audiences to find new, relevant users.
Tier 1: Re-engagement (Bottom of Funnel)
This is your lowest hanging fruit. You're targeting people who have already installed your app but have gone dormant. Create custom audiences of users who haven't opened the app in 7, 14, or 30 days. Hit them with ads reminding them of the value they're missing or announcing a new feature. The goal isn't an install; it's a re-open and re-engagement. This is the foundation of any solid app user retention strategy, as keeping a user is always cheaper than acquiring a new one.
Tier 2: Lookalike Audiences (Middle of Funnel)
This is where the magic really happens for scaling. You're going to ask Google to find new people who look just like your best existing users. Don't make the mistake of creating a lookalike of "all installers." That just finds you more low-quality users. Instead, create lookalike audiences based on your high-value conversion events:
- -> Lookalike of users who made an `in_app_purchase`
- -> Lookalike of users who completed `level_10`
- -> Lookalike of users who are Day 7 Retained Users
Start with a narrow 1% lookalike and expand to 2-5% as you get more data and need to scale. These audiences consistently outperform broad interest-based targeting because they are built on actual, high-intent user data.
Tier 3: Qualified Cold Audiences (Top of Funnel)
This is your new user acquisition engine, but it needs to be intelligent. Ditch the single broad interest. Instead, think about the specific apps, tools, and interests that your ideal user profile would have. For a fitness app, don't just target 'Fitness'. Layer it: target users interested in 'Strava' AND 'MyFitnessPal' AND 'Marathon training'. You can also target users of specific competitor apps. The key is specificity. By layering interests, you create a much more qualified prospect pool than a simple, broad audience would ever provide.
How much can you actually afford to pay for a quality user?
This is the question that separates amateurs from professionals. The answer isn't "as little as possible." The answer is determined by your Customer Lifetime Value (LTV). Once you know what a user is worth to you over their lifetime, you can confidently set a target Cost Per Acquisition (CPA) that ensures profitability. Most businesses don't do this maths, so they are stuck trying to get the cheapest leads possible, even if those leads are worthless.
Calculating LTV can seem complex, but we can simplify it. You need three key metrics: your Average Revenue Per User (ARPU, often monthly), your Gross Margin, and your monthly Churn Rate. Use the calculator below to get a solid estimate of your LTV and determine a maximum CPA that keeps you profitable. A healthy LTV:CPA ratio is typically around 3:1.
App LTV & Max CPA Calculator
Adjust the sliders to reflect your app's metrics. The calculator will determine your user Lifetime Value (LTV) and the maximum you can afford to pay per acquisition while maintaining your desired LTV:CPA ratio.
How do you scale this globally without destroying your results?
The "no location specified" problem is a classic sign of a flawed scaling strategy. Lumping the entire world into one campaign is a recipe for disaster because user value and advertising costs vary wildly between countries. A user in the US has a completely different LTV and acquisition cost than a user in India. Your campaign structure must reflect this reality.
The solution is to abandon the 'Worldwide' campaign and adopt a tiered country structure. This involves grouping countries into campaigns based on their economic profile and expected user value. This allows you to set different bids, budgets, and CPA targets for each tier, ensuring you're not overpaying in low-value regions or under-bidding in high-value ones. For anyone serious about growth, implementing the ultimate tiered blueprint for global Google Ads is not optional, it's mandatory.
Here’s a typical breakdown:
- Tier 1: High-income, English-speaking countries (e.g., USA, UK, Canada, Australia). Highest LTV, highest competition, and highest CPAs.
- Tier 2: Other high-income/developed countries (e.g., Germany, France, Japan, UAE). High LTV, moderate to high CPAs.
- Tier 3: Developing and emerging markets (e.g., India, Pakistan, Nigeria). Lower LTV, but much lower CPAs.
By splitting your campaigns this way, you gain control. You can push your budget harder in Tier 1 where your most valuable users are, while cautiously testing Tier 3 with a smaller budget to capture volume without dragging down your overall account performance. It's also the first step in creating a truly localised campaign. You simply can't do proper UK Google App Ads localisation if your UK audience is bundled with 100 other countries. The difference in performance is stark, as you can see below.
Global Performance by Country Tier
Retention vs. Cost Per Install
Tier 1 Retention
What is my final action plan?
We've covered a lot of ground, moving from a flawed mindset to a robust, scalable strategy. It's a fundamental shift, but it's the only way to build a sustainable user base instead of a leaky bucket. If you're struggling to implement this, it's completely normal. This is complex work that requires constant testing and analysis.
I've detailed my main recommendations for you below to give you a clear, actionable path forward. This is the exact process we follow for our app clients.
| Priority | Action Item | Why It's Important |
|---|---|---|
| 1. Fix Tracking | Set up and import key in-app events (e.g., `tutorial_complete`, `first_purchase`) into Google Ads. | You can't optimise for what you can't measure. This is the foundation for finding high-quality users. |
| 2. Change Optimisation Goal | Switch your campaign optimisation goal from "Installs" to a valuable in-app action. | Tells Google's algorithm to stop finding cheap installers and start finding engaged, high-value users. |
| 3. Restructure Campaigns | Break down your single global campaign into tiered campaigns by country (Tier 1, Tier 2, Tier 3). | Allows you to control budget and bids based on the vastly different user values and costs in each region. |
| 4. Implement Tiered Targeting | Build ad groups targeting Lookalikes of your best users first, then test qualified, layered interest audiences. | Focuses your budget on the highest-probability audiences first, creating a more efficient and scalable structure. |
| 5. Calculate Your Max CPA | Use the LTV calculator to determine your user lifetime value and a profitable target CPA. | Moves you from guessing to a data-driven approach, allowing you to confidently pay more for a user you know is profitable. |
Executing this blueprint takes expertise and time. You're not just flipping a switch; you're building a sophisticated user acquisition machine. It involves deep dives into analytics, constant creative testing, and a nuanced understanding of how algorithms respond to different inputs. We've seen app campaigns that were spending thousands to acquire users who churned, turn into profitable engines of growth with this exact method. For one app, we managed to get over 45k signups at under £2 cost per signup across Meta, TikTok, Apple Ads, and Google Ads by applying these principles rigourously.
If you feel like you're in over your head or simply want to accelerate your growth and avoid costly mistakes, it might be time to bring in an expert. We specialise in untangling these exact problems for app developers and SaaS companies. If you'd like an experienced pair of eyes on your campaigns, we offer a completely free, no-obligation consultation where we can review your current setup and provide some initial, actionable advice.
Hope this helps!
Lukas Holschuh
Founder, Growth & Advertising Consultant
Great campaigns fail without expertise. Lukas and his team provide the missing strategy, optimizing your entire advertising funnel—from ad creatives and copy to landing page design.
Backed by a proven track record across SaaS, eLearning, and eCommerce, they don't just run ads; they engineer systems that convert. A data-driven partnership focused on tangible revenue growth.