TLDR;
- Asking "how much do ads cost" is the wrong question. The right question is "how much can I afford to pay for a customer?"
- Your Cost Per Acquisition (CPA) in London is dictated by your app's Lifetime Value (LTV), not just market rates. Use our LTV calculator below to find your real budget ceiling.
- Expect Cost Per Taps (CPTs) in London to range from £1.50 to over £8.00, with Cost Per Installs (CPIs) often falling between £3.00 and £20.00+, depending heavily on your app category (FinTech is expensive, casual games are cheaper).
- Your biggest levers for reducing costs are a ruthlessly efficient campaign structure (Brand, Generic, Competitor, Discovery) and using Custom Product Pages to match your ad creative to specific keyword themes.
- Don't just target "London". Get granular. Target postcodes around tech hubs like Old Street or finance hubs like Canary Wharf to find your highest-value users and improve your relevance score.
Everyone wants a simple number when they ask about ad costs. They want me to say, "Apple Search Ads in London cost £4.52 per install." But that's a useless answer. It’s like asking how much a house costs in London – are we talking a studio flat in Zone 6 or a townhouse in Kensington? The real answer, the one that actually helps you build a profitable business instead of just burning cash, is a lot more nuanced.
The truth is, the cost is a direct result of your strategy, your app, and your understanding of the market. I've managed campaigns for UK apps that brought in installs for under £2, like one for an events app where we got over 45,000 signups at that price. I've also seen companies cheerfully pay £50+ for a single user because they knew that user was worth thousands over their lifetime. So, forget asking what the 'average' cost is. Let's figure out what your cost should be, and how to build a campaign that hits it.
So, what's the real question I should be asking?
Stop asking "What will my Cost Per Install be?" and start asking "What's the absolute maximum I can afford to pay for a new customer and still be wildly profitable?" The answer lies in a metric that most app developers ignore until it's too late: Lifetime Value (LTV). Your LTV is the total profit you expect to make from a single user over the entire time they use your app. Once you know this number, everything else falls into place. It dictates your entire bidding strategy.
Calculating it isn't black magic. It's just a bit of honest maths about your business model. You need three pieces of information:
- Average Revenue Per User (ARPU): How much money does one user bring in each month, on average? This could be from subscriptions, in-app purchases, or ad revenue.
- Gross Margin %: What percentage of that revenue is actual profit after accounting for costs of goods sold (like App Store fees, server costs, etc.)?
- Monthly Churn Rate %: What percentage of your users do you lose each month? Be brutally honest here.
Once you have these figures, you can plug them into the calculator below. This isn't just a gimmick; this is the exact calculation we use to set target CPAs for our clients. This number is your North Star. It tells you how much runway you have to acquire a customer. If your LTV is £100, paying £5 for an install is a bargain. If your LTV is £5, paying £5 is a disaster.
App Customer Lifetime Value (LTV) Calculator
Use the sliders to input your app's key metrics. The result shows the maximum Cost Per Acquisition (CPA) you can afford while maintaining a healthy 3:1 LTV to Customer Acquisition Cost (CAC) ratio.
Okay, I have my target CPA. What should I expect in London?
Now that you're armed with your own target, we can talk about market rates. London is one of the most competitive, and therefore expensive, advertising markets in the world. It’s packed with high-growth startups, massive finance and tech corporations, and a population with high disposable income. They're all bidding for the same eyeballs on the App Store.
The cost you pay is primarily driven by your app's category. A FinTech app trying to acquire a user who might generate thousands in fees is going to face much stiffer competition than a free-to-play puzzle game monetising through occasional ads. The bids for keywords like "investment platform" or "business banking" will be astronomical compared to "sudoku free". It's a completely different ball game.
Here’s a realistic look at what you can expect for Cost Per Tap (the cost for a single click on your ad) and the resulting Cost Per Install across some of London's dominant app sectors. Remember, the CPT is what you bid on, but the CPI is the metric that matters.
Apple Search Ads Cost Benchmarks
Estimated Ranges in London (GBP £)
Avg. CPI
How can I actually control and lower these costs?
Seeing those numbers can be intimidating, especially for FinTech startups. But those are just benchmarks. Your actual performance comes down to how well you manage your campaigns. Your goal isn't just to bid, it's to tell Apple's algorithm that your app is the most relevant result for a given search. A higher relevance score means Apple will show your ad more often and at a lower CPT. You earn this relevance through a combination of a high Tap-Through Rate (TTR) and a great App Store page that converts those taps into downloads. A good strategy is really the key to success and is often what we help clients with, which you can read about in our complete guide to dominating Apple Search Ads in London.
The single most effective way to achieve this is with a properly segmented campaign structure. Throwing all your keywords into one campaign is a recipe for disaster. It's inefficient and gives you no real control. Instead, you need to structure your account to mirror user intent. This is the structure we implement for all our clients, and it works.
The 4-Campaign Structure for Apple Search Ads
1. Brand Campaign
Keywords: Your app name & variations.
Match Type: Exact Match.
Goal: Defend your brand from competitors bidding on your name. Highest TTR, lowest CPT.
2. Generic Campaign
Keywords: Non-branded terms describing your app's function (e.g., "budget planner", "photo editor").
Match Type: Exact Match.
Goal: Capture high-intent users actively looking for a solution like yours.
3. Competitor Campaign
Keywords: Your direct competitors' app names.
Match Type: Exact Match.
Goal: Poach users at the point of decision. Can be expensive but highly effective.
4. Discovery Campaign
Keywords: None (use Search Match).
Match Type: Broad Match.
Goal: Let Apple find new, relevant keywords for you. Mine the Search Terms report and move winning keywords to your other campaigns as Exact Match.
Crucial Step: Add keywords from Brand, Generic, and Competitor campaigns as negative keywords in the Discovery campaign to avoid overlap and wasted spend.
This structure gives you surgical control. You can bid aggressively on your Brand terms to ensure you always show up, while setting a more conservative, CPA-driven bid on Generic terms. The Discovery campaign acts as your research department, constantly feeding you new, proven keywords to move into your high-performance campaigns. While we focus here on Apple Search Ads, similar principles of granular targeting and campaign structure apply to other platforms, you can check out our guide on how you can scale app installs effectively on Meta Ads in the UK.
Is there a "London specific" strategy I should be aware of?
Absolutely. Just targeting "London" is an amateur mistake. London isn't one homogenous market; it’s a collection of distinct boroughs and neighbourhoods, each with its own demographic and economic profile. This is where you can get a real edge. Don't just think about the city, think about the people in it.
Are you a FinTech app targeting high-net-worth individuals? Don't just target London. Target the specific postcodes of Canary Wharf (E14), the City of London (EC2, EC3, EC4), Knightsbridge (SW1X), and Mayfair (W1K). Your ad spend will be far more efficient showing up for people physically located in those areas.
Are you a B2B SaaS app for tech startups? Target the area around Old Street's "Silicon Roundabout" (EC1Y, EC2A) and the tech hubs in Shoreditch. Is your app for students? Focus your geo-targeting on areas around major universities like UCL in Bloomsbury (WC1E) or Imperial in South Kensington (SW7).
This level of geographic granularity does two things:
- Increases Relevance: You're showing your ad to a much more qualified audience, which will naturally increase your Tap-Through Rate.
- Reduces Wasted Spend: You stop paying for clicks from users outside your core demographic, which immediately improves your CPA.
Another powerful, and often underutilised, tool is Custom Product Pages. Apple allows you to create up to 35 different versions of your App Store page, each with unique screenshots, promotional text, and app previews. You should align these custom pages with your ad groups. If someone searches for "budgeting app for freelancers," your ad shouldn't just send them to your generic App Store page. It should link to a Custom Product Page with screenshots and messaging that specifically highlights your app's freelance-friendly features. This seamless journey from ad to landing page drastically increases conversion rates, which in turn tells Apple your ads are highly relevant, lowering your CPTs over time. This kind of tactical execution is how you win in a competitive environment like London and can make all the difference when it comes to understanding what you should really pay for PPC.
What's a realistic budget to start with?
This brings us back to the start. Your budget shouldn't be a number plucked from thin air; it should be based on your goals and your LTV. However, for a meaningful test in the London market, you need to be realistic. A budget of £20 a day won't give you enough data to make informed decisions. The clicks are too expensive.
I usually recommend starting with a minimum budget that allows you to get at least 10-20 conversions (installs) per week, based on your target CPA. So, if your LTV calculation gave you a max CPA of £10, you should aim for a starting budget of around £100-£200 per week (£400-£800 per month). This provides enough data to see which keywords are working and which are not, allowing you to optimise effectively. This kind of budget planning is essential, and we've put together a comprehensive guide on planning your ad budget for London that covers this in more detail.
Think of your initial ad spend not as a cost, but as an investment in data. You are paying to learn what your specific audience in London responds to, which keywords have the highest intent, and which creative assets drive the most downloads. Once you have this data, you can scale your budget with confidence, knowing that every pound you spend is tied directly to your growth objectives and profitability.
For some UK businesses we’ve worked with, this data-driven approach has been transformational. For the events app I mentioned earlier, this rigorous approach to data and targeting was exactly how we managed to secure over 45,000 signups at under £2 each. It wasn’t about spending less; it was about spending smarter.
So how do I put this all together?
Managing Apple Search Ad costs in London isn't about finding a magic CPT number. It's a systematic process of understanding your own business economics, structuring your campaigns intelligently, and relentlessly optimising based on performance data. It requires a level of detail and strategic thinking that goes beyond just setting a bid and hoping for the best. The market is too competitive for a "set it and forget it" approach.
I've detailed my main recommendations for you below:
| Action Item | Why It Matters | Implementation Step |
|---|---|---|
| Calculate Your LTV & Max CPA | This defines your budget and bidding ceiling. Without it, you're flying blind and can't measure profitability. | Use the calculator in this article. Get honest figures for your ARPU, Margin, and Churn Rate. Set a target CPA at 1/3rd of your LTV. |
| Implement the 4-Campaign Structure | It isolates user intent, giving you precise control over bids and preventing budget waste on irrelevant searches. | Create separate campaigns for Brand, Generic, Competitor, and Discovery. Use Exact Match for the first three and Broad Match/Search Match for Discovery. |
| Utilise Granular Geo-Targeting | London is not a monolith. Targeting specific postcodes increases relevance, boosts TTR, and lowers your effective CPA. | Identify postcodes relevant to your target audience (e.g., E14 for finance, EC1Y for tech) and apply them at the ad group level. |
| Leverage Custom Product Pages | Matching your ad's message to the landing page experience is one of the biggest levers for improving conversion rates. | Create different product pages for your main ad groups (e.g., one for competitor keywords, one for generic feature keywords) and link them directly. |
| Mine Your Discovery Campaign | This is your R&D department for finding new, profitable keywords you hadn't thought of. | Regularly check the Search Terms report. Move high-performing terms to your Generic/Competitor campaigns as Exact Match and add irrelevant terms as negative keywords. |
If this seems like a lot of work, that's because it is. Getting this right requires expertise, consistent attention, and a deep understanding of how the auction dynamics work, especially in a cut-throat market like London. Many businesses find that while they understand the principles, the day-to-day execution is what holds them back.
If you've read this and feel that you'd rather focus on building your product than becoming an expert in Apple's ad algorithm, it might be worth considering getting some help. We specialise in this exact process. We help app businesses figure out their economics and then build and manage high-performance campaigns designed to hit those targets. If you'd like a second pair of eyes on your strategy, we offer a free, no-obligation consultation where we can review your current setup and give you some actionable advice.
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.