Solved: Google App Campaigns in Zurich (The Real Reason)

Hi there,

Thanks for reaching out!

Happy to give you some of my initial thoughts and guidance. I've read your enquiry about finding Google App Campaign best practices for the Zurich market, and honestly, my first bit of advice is to stop looking for them. It's a bit of a red herring.

The truth is, this obsession with hyper-local "best practices" is often a massive distraction from what actually drives user acquisition. The fundamental principles of getting someone to download and use your app are pretty much universal. Whether your user is in Zurich, London, or New York, they are still a person with a problem that you're hoping your app can solve. The platform's algorithm doesn't really care about postcodes; it cares about data, behaviour, and relevance. Focusing too much on Zurich-specific tactics likely means you're missing the bigger picture, and that's probably why you're struggling to find reliable info – because it doesnt really exist in the way you think.

What really matters is having a solid offer, a compelling message that speaks to your ideal customer's pain, and a smart, structured approach to paid advertising across the right channels. This is where we should focus our attention.

We'll need to look at the bigger picture, not just Google App Campaigns...

Your first instinct is to dive into Google App Campaigns, which makes sense, but it's a bit like deciding on the brand of paint before you've even laid the foundations for the house. Before you spend a single Franc on a specific campaign type, you need a proper acquisition strategy. There are a few avenues you can and should explore to get your app off the ground, and paid ads are only one piece of the puzzle.

Organic & PR Channels First

Have you looked at these? Often, they are a great way to get your first batch of users and some invaluable feedback without a massive budget. I often see new apps get great initial traction by listing themselves in directories that early adopters and tech enthusiasts frequent.

Think about places like:

-> Betalist
-> Product Hunt
-> Indie Hackers
-> Capterra (if you're a B2B app)

Getting featured on these can drive a nice spike of initial interest. More importantly, these are platforms where people are actively looking for new and interesting software. You get feedback, you get your first users, and you start to build a bit of a name for yourself. It's a slow burn, but it's a crucial part of the early-stage journey.

Then there's PR. This doesn't have to mean hiring an expensive firm. It can be as simple as putting together a list of Swiss or German-language tech blogs, journalists, and publications that cover app launches. Reach out to them with a clear, concise pitch about what your app does and who it's for. Most won't reply, but it only takes one or two to write a story to get the ball rolling. This gives you credibility and social proof you can use in your later advertising efforts.

The Role of Paid Advertising

Now, for paid ads. This is where you can get predictable, scalable results once you know what you're doing. Unlike organic methods, the moment you put money in, you get data out. You can see results quickly, and if something is working, you can simply increase the budget to get more of it. This is how you'll achieve real growth. But it's also the fastest way to burn through your cash if you don't have a plan. Just throwing money at Google App Campaigns without getting the fundamentals right is a recipe for disaster. So let's build that plan.

I'd say you need a proper paid acquisition plan...

Before you even open an ad account, you need to have a clear answer to a very simple question: how will this app make money? Your monetisation strategy dictates your entire advertising approach. The cost to acquire a user has to be less than what you eventually make from that user. It sounds obvious, but it's a detail many people overlook.

As a rough guide, for B2C apps, you might see a cost per install or signup in the $1-$5 range. For B2B apps, it's going to be considerably more expensive. If your lifetime value (LTV) per user isn't significantly higher than these figures, paid advertising will be an uphill battle. We'll get into calculating your LTV later, but for now, just have that number in your head.

Choosing Your Battlegrounds: Which Ad Platform?

This is where we start to get tactical. The right platform is simply the one where your ideal customers hang out. The wrong platform means you're shouting into the void, no matter how good your ads are.

-> Scenario A: Your audience is actively looking for a solution.
If your app solves a problem that people are aware of and are actively searching for, then search-based platforms are your best bet. This is about capturing intent.

• Apple Search Ads: This is a non-negotiable for any iOS app. People go to the App Store with the explicit intent to find and download apps. You can target keywords related to your app's function, your competitors, or the problem you solve. When someone searches for "invoice tracker app" and your accounting app shows up first, the conversion rate is going to be incredibly high. We worked with an app client where Apple Ads was a core part of their mix that drove over 45,000 signups. The quality of users from here is often top-tier because they are in "download mode".
• Google Search Ads: Similar idea, but for the wider web. People searching on Google for things like "best way to learn German on my phone" or "project management tool for small teams". You can run ads that direct them to a landing page to learn more about your app before sending them to the App Store or Play Store. This works well for more complex apps that need a bit of explanation.

-> Scenario B: Your audience isn't actively looking (or doesn't know a solution exists).
If your app is more novel, innovative, or serves a need people don't realise they have, you need to generate demand. This is where social media platforms come in.

• Meta Ads (Facebook & Instagram): This is usually the king for B2C app installs and can even work surprisingly well for B2B. Meta's targeting capabilities are powerful, and its algorithm is exceptionally good at finding people who are likely to perform a specific action, like installing an app. You're not waiting for them to search; you're putting a compelling ad in their feed that interrupts their scrolling and makes them take notice.
• TikTok Ads: If your app has a strong visual component or appeals to a younger demographic, TikTok can be a powerhouse. It's all about creative, so you need engaging, native-looking video content. But get it right, and the volume of installs can be massive.

Most successful app strategies I've seen use a mix. For instance, as I mentioned earlier, we ran a multi-channel campaign for one app that used Meta, TikTok, Apple, and Google Ads together. This allowed us to capture intent on search platforms while generating new demand on social. The result was over 45k signups at a very efficient cost per signup of under £2. The point is not to put all your eggs in the Google App Campaign basket from day one.

You probably should focus on your offer and funnel first...

This is probably the most important, and most overlooked, part of the entire process. I've seen countless campaigns with brilliant targeting and creative fail because the offer was weak or the user journey was broken. The number one reason campaigns fail is the offer. It’s either not valuable enough, or there isn't a real audience with a need for it. A lack of demand is a product killer.

I see founders spend years building the perfect product, only to find that nobody really cares. You need to avoid that. A successful offer does three things exceptionally well:

1. It focuses on a specific audience: You don't sell to "everyone in Zurich". You sell to "busy marketing managers in Zurich who struggle to track their team's KPIs". This specificity makes your message resonate deeply.

2. It identifies an urgent problem: People don't buy features; they buy solutions to their pain. Your app doesn't just "track finances"; it "ends the monthly stress of not knowing where your money went". That emotional connection is what drives action.

3. It presents a clear solution: The offer is tangible and easy to understand. For an app, this is the core value proposition. "The 5-minute language learning app for busy professionals." It's simple and desirable.

Your Offer: Delete the "Request a Demo" Mentality

The biggest failure point in B2B is the "Request a Demo" button. It's arrogant. It asks for the prospect's time in exchange for a sales pitch. For an app, the equivalent mistake is making it hard for users to experience the value.

Your offer’s only job is to deliver an "aha!" moment as quickly and with as little friction as possible. This is where SaaS and app founders have an incredible advantage.

-> The Gold Standard: A Free Trial or Freemium Plan. Don't ask for credit card details. Let them get into the app and use it. Let them experience the transformation for themselves. When the product itself proves its value, the sale (or subscription) becomes a formality. You're not just generating installs; you're creating Product Qualified Leads (PQLs) who are already sold on what you do.

If you're gating your app behind a mandatory upfront payment with no trial, you are killing your conversion rate before you've even started. Look at your competitors. I'm willing to bet the most successful ones make it incredibly easy to get started for free. You must solve a small, real problem for free to earn the right to solve the whole thing.

I remember one B2B SaaS client selling accounting software. They had no free trial, just a demo request. Their ads were failing miserably. The moment we convinced them to launch a proper free trial, their lead quality and volume shot up. It seems obvious, but many businesses are afraid to give away value upfront. This is a mistake.

You'll need to understand your customer's nightmare, not their location...

Let's circle back to your original point about "the Zurich market". This is a demographic trap, and it leads to lazy, ineffective advertising. "People in Zurich" is not a target audience. It tells you nothing of value.

To stop burning cash, you have to define your customer by their pain. You need to become an expert in their specific, urgent, expensive nightmare. Your Ideal Customer Profile (ICP) isn't a person; it's a problem state.

For example, if your app helps with project management:

-> Bad ICP (Demographic): "Small business owners in Zurich aged 30-50."
-> Good ICP (Pain-Based): "A freelance graphic designer who is constantly losing track of client feedback in long email chains, leading to missed deadlines and frustrating revisions that are costing them money and referrals."

See the difference? The second one gives you everything you need for your advertising. You know what language to use in your ad copy ("Tired of endless email revisions?"), what visuals to use (a messy inbox vs a clean dashboard), and even where to find them (groups for freelancers, followers of design software pages).

Once you've isolated that nightmare, you can build a targeting strategy. What niche podcasts do they listen to? What industry newsletters do they actually read? What software do they already pay for? This intelligence is the blueprint for your targeting. Do this work first, or you have no business spending a single franc on ads.

Here's how this translates into actual campaign setup:

We'll need to look at your numbers properly...

Right, let's talk about money. Most people come into advertising with the wrong question. They ask, "How low can my Cost Per Install go?". The real question is, "How high a Cost Per Install can I afford to acquire a great user?". The answer lies in your Customer Lifetime Value (LTV).

If you don't know this number, you are flying blind. You have no way of knowing if your ad campaigns are actually profitable in the long run. Here's how you can get a rough idea. It's a simple calculation.

How to Calculate Your Customer Lifetime Value (LTV)

You need three bits of information:

1. Average Revenue Per Account (ARPA): What do you make per user, per month? (e.g., £20)
2. Gross Margin %: Your profit margin on that revenue. (e.g., 80%)
3. Monthly Churn Rate: What percentage of users do you lose each month? (e.g., 5%)

The calculation is:

LTV = (ARPA * Gross Margin %) / Monthly Churn Rate

Let's use our examples:

LTV = (£20 * 0.80) / 0.05
LTV = £16 / 0.05 = £320

In this scenario, each user is worth £320 in gross margin to your business over their lifetime. Now we have something to work with. A healthy LTV to Customer Acquisition Cost (CAC) ratio is often cited as 3:1. This means you can afford to spend up to £106 (£320 / 3) to acquire a single customer and still have a very healthy, profitable business model.

Suddenly, a £5 Cost Per Install doesn't seem so bad, does it? This is the maths that unlocks aggressive, intelligent growth. It frees you from the tyranny of cheap installs and allows you to focus on acquiring high-value users.

What Should You Expect to Pay?

Now that you know what you *can* pay, let's look at what you *might* pay. Costs vary wildly, but here are some realistic ballpark figures for a developed country like Switzerland. These are based on our experience running thousands of campaigns.

Your goal is to use good targeting and creative to get your CPCs towards the lower end of the range, and good app store optimisation/landing pages to get your conversion rates towards the higher end. That's how you drive your acquisition costs down.

I'd say you can forget about 'awareness' campaigns for now...

This is an uncomfortable truth, but someone has to say it. When you set up a campaign on Meta or Google and choose an objective like "Brand Awareness" or "Reach," you are giving the algorithm a very specific, and very unhelpful, command: "Find me the largest number of people for the lowest possible price."

The algorithm, being the ruthlessly efficient machine it is, does exactly what you asked. It seeks out the users within your targeting who are least likely to click, least likely to engage, and absolutely, positively least likely to ever install your app or pull out a credit card. Why? Because those users are not in demand. Their attention is cheap. You are actively paying the world's most powerful advertising platforms to find you the worst possible audience for your product.

For a business focused on growth and user acquisition, this is madness. Awareness is a byproduct of having a great product that solves a real problem and running campaigns that actually drive conversions. The best form of brand awareness is a happy user telling their friends about your app.

Therefore, you must always, *always* optimise your campaigns for the action you actually want. On Meta, this means choosing the "App Promotion" objective and optimising for "App Installs" or "App Events" (like a trial start or purchase). On Google App Campaigns, the system is built for this, but you need to feed it the right conversion data so it can optimise for high-value users, not just cheap installs. Forget awareness. Chase conversions. Awareness will follow.

You'll need a solid campaign structure...

Okay, let's get into the nitty-gritty of how you'd actually structure your campaigns. A disorganised account is an inefficient one. Having a clear, logical structure allows you to test systematically, understand what's working, and scale your budget effectively. While the specifics vary by platform, the funnel-based logic is universal. I'll use Meta as an example because its structure is very clear, but you can apply the same thinking to your other channels.

We structure accounts based on the marketing funnel: Top of Funnel (ToFu), Middle of Funnel (MoFu), and Bottom of Funnel (BoFu).

Campaign 1: Top of Funnel (ToFu) - Prospecting

-> Goal: Reach new people who have never heard of you before.
-> Audiences: This is where you test your "nightmare-based" ICPs.

• Ad Set 1: Detailed Targeting (Interests/Behaviours). E.g., Target users interested in "Figma" + "Productivity Software".
• Ad Set 2: Another Detailed Targeting group. E.g., Target users interested in "Asana" + "Trello". Group related interests together thematically.
• Ad Set 3: Lookalike Audience (1%). Once you have enough data (e.g., 100+ trial starts), create a Lookalike audience of those people. This tells Meta to find more people who look just like your best users. This is incredibly powerful. You can create Lookalikes from purchasers, trial starts, or even just all app installers.

Campaign 2: Middle/Bottom of Funnel (MoFu/BoFu) - Retargeting

-> Goal: Bring back people who have shown interest but haven't converted yet, or upsell existing users.
-> Audiences: These are custom audiences made up of people who have already interacted with you.

• Ad Set 1: Website/App Store Page Visitors. Anyone who visited your landing page or app store page in the last 30 days but didn't install. Show them an ad with a testimonial or a different value proposition.
• Ad Set 2: Social Engagers. Anyone who watched your video ads, liked a post, or visited your profile in the last 90 days. They're warm leads.
• Ad Set 3: App Installers (No Trial). People who installed the app but never started a trial. You can retarget them with in-app messages or ads that guide them towards that "aha!" moment.

This structure allows you to have a continuous engine running. The ToFu campaigns bring in fresh blood, and the MoFu/BoFu campaigns make sure you convert as many of them as possible. You should always be testing new audiences in your ToFu campaign, and when you find a winner, you let it run. If an ad set spends 2-3x your target CPA without a conversion, you turn it off and test something new. It's a relentless process of optimisation.

I've detailed my main recommendations for you below:

I know this is a lot to take in, and it's a significant shift from just looking for local "best practices". But this strategic, principle-based approach is what seperates the apps that struggle from the ones that scale successfully. It requires more work upfront to define your customer, your offer, and your numbers, but it builds a foundation for sustainable, profitable growth.

Getting this right is complex, and it involves a lot of moving parts and constant testing. It's not just about setting up an ad and hoping for the best; it's about deep expertise in audience psychology, platform algorithms, and data analysis. This is where professional help can make a huge difference.

If you'd like to go through this in more detail for your specific app, we offer a free, no-obligation initial consultation where we can audit your current strategy and provide some concrete advice. It might be a good next step to turn these principles into a real-world action plan.

Hope this helps!

Regards,

Team @ Lukas Holschuh