TLDR;
- Your problem isn't 'unpredictable costs', it's a flawed campaign structure that's treating a user in London the same as a user in Manila.
- Stop targeting 'everywhere'. Start structuring campaigns by country tiers (e.g., Tier 1 English Speaking, Tier 2 Developed) to control your bids and budget.
- The most important piece of advice is to calculate your Customer Lifetime Value (LTV). Once you know what a customer is worth, you know what you can afford to pay, and 'unpredictable' becomes measurable.
- Forget geography. The best targeting is based on the user's *problem*, which they reveal through the keywords they search for. Focus on high-intent keywords that signal they need a solution *now*.
- This article includes an interactive LTV calculator to help you find your maximum affordable cost per lead, and a flowchart showing you exactly how to structure your campaigns.
Right, let's get one thing straight. The idea that a Google Ads campaign without a location target is inherently "unpredictable" is a myth. It's a convenient excuse for a messy setup. The platform isn't confused; you're just giving it a chaotic map and expecting it to find treasure. When you tell Google to target 'the world', you're asking it to average out the cost of a click from a CEO in New York with a click from a bot farm in Bangladesh. Of course it's going to be unpredictable.
The real issue is a failure to think like an investor. You wouldn't pay the same price for a tiny flat in Knightsbridge as you would for a mansion in the countryside, so why are you telling Google to pay the same for every user, regardless of their economic value? The cost of traffic varies massively across the globe. Your job isn't to set a location; it's to create a structure that reflects this economic reality. Until you do that, you're not advertising, you're just gambling with your marketing budget.
So how much do costs actually vary?
Quite a bit. It’s not uncommon to see a click from a so-called 'developed' country costing 5-10 times more than a click from a 'developing' one. A lot of agencies see this as a problem. I see it as an opportunity. It means you can allocate budget intelligently, spending more where the potential return is higher and less where it's lower. Lumping them all together in one campaign is just lazy and it's the fastest way to drain your budget on low-quality traffic while missing out on valuable users because your bids are too averaged out to compete where it matters.
Just look at the rough difference in what you can expect to pay per click. These are just ballpark figures from our experience, but they illustrate the point perfectly.
Seeing this, you can understand why your costs are all over the place. On any given day, if more of your budget gets spent in lower-cost regions, your average CPC plummets but your lead quality might too. If it swings towards higher-cost regions, your CPC shoots up and you might think the campaign is suddenly failing. It's not failing, your structure is just not fit for purpose.
How do you target without a map then?
You stop thinking about geography and start thinking about intent. Your ideal customer isn't defined by their postcode; they're defined by the problem they're desperately trying to solve. For most businesses selling digital products, SaaS, or even some high-ticket ecommerce, the location of the buyer is secondary to the urgency of their need.
This is where keywords become your primary targeting tool. But not just any keywords. You need to focus on keywords that signal commercial or transactional intent. Someone searching for "what is project management" is a researcher. Someone searching for "best project management software for small teams" is a buyer. You need to be ruthless in cutting out the informational queries and focusing your budget on the people who are ready to act.
I remember one B2B software client who came to us burning cash on broad terms. They were getting clicks but no trials. We shifted their entire budget to long-tail keywords that described a specific pain point their software solved. Their traffic dropped by 60%, but their trial signups tripled in the first month. They were reaching fewer people, but they were the *right* people. The breakthrough happens when you realise you must target problems, not just location. This is the core of running a successful 'location-less' campaign: you replace the geographical boundary with a tightly defined boundary of user intent.
So what's the right way to structure these campaigns?
You have to segment. There is no other way. A single 'Worldwide' campaign is a recipe for disaster. The most effective method we've found is to structure campaigns based on economic tiers and language. This allows you to set specific budgets and bidding strategies that are appropriate for the value of traffic from each segment.
Here’s how we typically break it down:
- Campaign 1: Tier 1 - English Speaking. This is your prime real estate. It includes countries like the US, UK, Canada, Australia, New Zealand. Here, the traffic is expensive but often has the highest conversion value. You can afford to bid aggressively.
- Campaign 2: Tier 2 - Developed Non-English. This includes countries like Germany, France, Sweden, Japan. The intent is high, but you might need different ad copy (or at least acknowledge language differences). Bids are still high, but perhaps slightly less than Tier 1.
- Campaign 3: Tier 3 - Developing Countries. This is a much larger group of countries where CPCs are low. You might find some amazing customers here, but you need to manage it carefully. A lower budget and more cautious bidding strategy is sensible. You also want to be aggressive with your negative keywords here to filter out low-quality searches.
- Campaign 4: Retargeting - Worldwide. This one is the exception. For retargeting, you don't care where the user is. If they've visited your site and shown interest, they are a warm lead. You can group all your retargeting efforts here, showing ads to past visitors across the globe.
This structure gives you control. You can see which regions are performing, allocate budget accordingly, and make your costs far more predictable. It's more work to set up, sure, but it's the difference between a professional strategy and just hoping for the best. For anyone struggling with this, we've outlined the data behind why you need to structure Google Ads this way for a broad audience.
This sounds complicated. How do I actually budget for it?
This is where most people get it wrong. They start with the ad spend. They ask, "How much should I spend?" which is the wrong question. The right question is, "How much can I afford to spend to acquire a customer?" The answer to that changes everything. And to find it, you need to know your Customer Lifetime Value (LTV).
Your LTV is the total profit you can expect to make from a single customer over the entire duration of their relationship with you. Once you know this number, budgeting becomes a simple mathematical exercise, not a guessing game. If you know a customer is worth £5,000 to your business, paying £500 to acquire them is a brilliant investment. If a customer is only worth £50, paying £100 to acquire them is a catastrophic failure. Without knowing your LTV, you're flying blind.
Here's the basic formula we use:
LTV = (Average Revenue Per Customer Per Month * Gross Margin %) / Monthly Customer Churn Rate
Once you have your LTV, you can set a target for your Customer Acquisition Cost (CAC). A healthy ratio for many businesses is 3:1 (LTV:CAC). So, if your LTV is £9,000, you can afford to spend up to £3,000 to acquire a customer. If your sales team closes 1 in 10 qualified leads, you can therefore afford to pay up to £300 per lead. Suddenly, that 'expensive' £150 lead from your Tier 1 campaign doesn't look so bad, does it?
This is the kind of maths that underpins our entire budgeting and forecasting framework. It removes emotion and replaces it with cold, hard numbers. Use the calculator below to get a feel for your own metrics. It might be the most valuable five minutes you spend on your marketing this year.
What if my costs are still too high, even with this structure?
If you've implemented a tiered structure and you're bidding based on a solid LTV calculation, but your cost per acquisition is still way too high, then the problem isn't your targeting or your budget. The problem is almost certainly your offer or your landing page. You can send the most perfectly targeted traffic in the world to a page that doesn't convert, and you'll just be setting money on fire faster.
This is the point where you have to be brutally honest with yourself.
- Is your offer compelling? A "Request a Demo" button is not a compelling offer for a busy decision-maker. It's a request for them to give up their time to be sold to. You need to offer genuine value upfront. A free tool, a valuable resource, a no-card-required free trial. Something that solves a small piece of their problem for free and earns you the right to talk about solving the whole thing.
- Is your landing page clear and persuasive? Does it speak directly to the pain point the user searched for? Is it cluttered with distractions, or does it have a single, clear call-to-action? Many businesses find they get good traffic that just doesn't convert, which often points to a mismatch between their ad creative and landing page alignment.
- Are you creating friction? Are you asking for 15 fields on your signup form? Are you hiding your pricing? Every extra step, every moment of uncertainty, is a chance for a potential customer to leave.
Fixing these issues is often more impactful than any amount of campaign tweaking. I remember one campaign for a medical job matching SaaS where we helped reduce their cost per user acquisition from over £100 down to just £7. While a lot of that comes down to ad optimisation, we often see the biggest improvements when clients also fix their offer and landing pages. Sometimes the best way to improve your ads is to stop looking at your ad account. If your numbers are consistently poor, it's often a sign of a deeper issue, and it may be time for a full troubleshooting of your Google Ads performance.
This is the main advice I have for you:
Getting control over a global Google Ads campaign isn't about finding a magic setting. It's about implementing a logical structure and making decisions based on data, not guesswork. The unpredictability you're feeling is a symptom of a flawed setup, and it's entirely fixable. Here's the plan to get you there.
| Step | Action to Take | Why It Matters |
|---|---|---|
| 1. Stop Guessing | Use the LTV calculator in this article. Calculate your LTV and determine your maximum affordable Customer Acquisition Cost (CAC). | This gives you a data-backed target. You're no longer aiming for 'cheaper leads'; you're aiming for a specific, profitable number. |
| 2. Re-structure | Pause your 'Worldwide' campaign. Rebuild your account using the tiered structure: Tier 1 (e.g., UK/US), Tier 2 (e.g., DE/FR), Tier 3 (Developing), and Retargeting. | This gives you precise control over budgets and bids for different economic regions, eliminating the wild cost fluctuations from a single global campaign. |
| 3. Refine Targeting | Conduct rigorous keyword research focused on high-intent, problem-based search terms. Be ruthless in adding negative keywords for broad, informational queries. | You replace loose geographical targeting with precise intent targeting, ensuring your budget is spent only on users who are actively looking for a solution. |
| 4. Fix the Offer | Critically evaluate your landing page and Call to Action. Is it a high-friction 'Request a Demo' or a high-value, low-friction offer like a free trial or tool? | A weak offer will kill even the best campaign. Improving your conversion rate on the landing page is the fastest way to lower your acquisition cost. |
| 5. Optimise | Monitor performance within each campaign tier. Allocate more budget to the tiers and keywords that are hitting your target CAC and scale back on those that aren't. | This turns your ad account into an investment portfolio. You're actively managing your capital, not just spending it. This is the core of how you can scale Google Ads profitably. |
When to call in the experts
Look, the framework I've laid out here works. It's the foundation we use to manage six and seven-figure ad spends for SaaS and tech companies across the globe. But it's not a quick fix. It takes time, discipline, and a fair bit of experience to implement correctly, especially when you're analysing data and optimising across multiple campaigns and ad groups.
There's a reason why businesses pay for expertise. It's not just about saving time; it's about avoiding the costly mistakes that come from learning on the job. A single mistake in a global campaign setup can waste thousands of pounds before you even realise what's happened.
If you've read through this and feel a bit overwhelmed, or if you'd rather have an experienced team implement this kind of robust structure for you from day one, then it might be worth a chat. We offer a completely free, no-obligation strategy session where we can look at your current setup and give you some honest, actionable advice. It's a chance for you to see how we think and for us to see if we can genuinely help. If you're serious about making your ads predictable and profitable, it's a good place to start.