Hi there,
Thanks for reaching out!
I had a look at the situation you described. It's a really common problem, probably one of the most frequent issues I see with accounts that are just starting out or being managed without a clear system. You've correctly identified the symptoms – rising frequency and dropping performance – but the fix isn't as simple as just swapping out the ad or duplicating the campaign. Honestly, those are just temporary plasters on a much bigger issue.
The real problem is the structure itself. Running a single ad in a single ad set is basically setting it up to fail from the start. What you're experiencing isn't a surprise, it's an inevitability. The good news is that there's a much better, more sustainable way to structure your campaigns that will not only solve this ad fatigue problem but also give you a proper framework for scaling things up profitably. I'm happy to give you some initial thoughts and guidance on how we'd approach this.
We'll need to look at why your current approach is unsustainable...
First, let's be brutally honest about why what you're doing isn't working long-term. Think of your ad set as a room full of people (your audience) and your ad as a single salesperson with only one joke. The first few times people hear the joke, some of them might laugh and buy something. But after they've seen the same salesperson tell the same joke five, ten, fifteen times (this is your 'frequency' metric), they're not just bored, they're annoyed. They start ignoring him, and the ones who were maybe interested at first have already made their decision. Your costs go up because you're paying to show the ad to people who have no intention of ever acting on it again.
This is ad fatigue in a nutshell. You've exhausted the small segment of the audience that was going to convert quickly. Now you're just burning money on the rest.
So, let's look at your proposed solutions:
1. Replace the ad with a new creative: This is like firing your salesperson and hiring a new one, but telling them to go into the exact same room and tell a slightly different joke. You might get a few more laughs, a temporary bump in performance, but the underlying problem is the same. You're still talking to the same tired audience with a single message. The new ad will fatigue too, and probably even quicker than the first one because the audience is already familiar with your brand showing up in their feed.
2. Duplicate the campaign: This is a common tactic, but it's a bit of a crude instrument. Yes, it resets the learning phase and can give you a fresh start. But you're duplicating a flawed structure. You're creating another campaign that is also designed to fail in the same way. It's like building a new house on the same faulty foundations. It doesn’t create a system for testing, learning, and optimising. It's a short-term reset, not a long-term growth strategy. You'll find yourself in this exact same position in another week or two, and your account will become a messy graveyard of duplicated, fatigued campaigns.
The core of the issue is the lack of a system. You're not giving the Facebook algorithm enough variables to work with. It's an incredibly powerful machine, but you've given it a tiny, restrictive instruction set. To get the best out of it, you need to give it options – different audiences to test, and different creatives to test within those audiences. That’s how you find the winning combinations that can actually scale.
I'd say you need a proper campaign structure...
So, how do we fix this? We stop thinking in terms of single campaigns and ads, and start thinking in terms of a funnel. It's not a complicated idea; it just means we talk to people who've never heard of you differently than we talk to people who have already visited your website or added a product to their cart. This is the absolute foundation of any successful paid social account.
We usually break this down into three simple stages:
-> Top of Funnel (ToFu) or Prospecting: This is where you find new customers. People who have no idea who you are. Your current campaign is a prospecting campaign, but a very limited one. The goal here is to test a wide range of audiences to see who responds best to your product or service.
-> Middle of Funnel (MoFu) or Retargeting: This is for people who have shown some interest. They've visited your website, watched one of your videos, or engaged with your page. They know you exist, but they haven't taken a key action yet. You need to remind them you're here and give them another reason to take the next step.
-> Bottom of Funnel (BoFu) or Retargeting: These are your hottest prospects. They've added a product to the cart, initiated checkout, or spent a lot of time on a key page. They are on the verge of converting and often just need a final nudge, like a reminder or a specific offer.
By creating separate campaigns for each stage, you can tailor your messaging and offers, and control your budgets much more effectively. You'd never spend as much trying to win back someone who abandoned their cart as you would trying to reach a completely cold audience of millions.
Let's focus on the Prospecting campaign first, as this is where your current setup is. Instead of one ad set, you should be testing multiple ad sets at the same time. This is how you discover new, profitable audiences. Here's the order of priority I would usually test audiences in:
1. Detailed Targeting (Interests, Behaviours, Demographics): This is your starting point. You need to get specific. Don't just target "Business". If you're selling project management software, you target interests like 'Asana', 'Trello', 'Project Management Institute', and layer it with job titles or behaviours related to business decision-makers. The goal is to find interests that your ideal customer has, but the general population does not.
2. Lookalike Audiences: Once you have enough data (at least 100 conversions, but ideally more), you can create Lookalike audiences. This is where you tell Facebook, "Find me more people who look just like my existing customers" or "Find me people who look like those who added a product to their cart". These are often the best-performing audiences, but you need data to create them. You can create lookalikes from:
-> Previous customers (your best source)
-> People who initiated checkout
-> People who added to cart
-> People who spent the most time on your site
-> All website visitors
-> People who watched 50% of your video ads
3. Broad Targeting: This is where you target a country and just specify age/gender, with no interest or lookalike targeting. This can work surprisingly well, but only once your Facebook Pixel has gathered thousands of conversion events. You're trusting the algorithm completely to find your customer. Don't start here.
Your new prospecting campaign structure might look something like this. Notice how we've moved from one single point of failure to a system of testing.
| Level | Setup | Purpose |
|---|---|---|
| Campaign | Prospecting - Conversions (e.g., Purchases) | Find new customers and drive conversions. |
| Ad Set 1 | Detailed Targeting: Interests related to direct competitors (e.g., Asana, Monday.com) | Test if people interested in similar solutions respond to your ads. |
| Ad Set 2 | Detailed Targeting: Interests related to industry publications/gurus (e.g., 'SaaS Growth Hacks' group, Jason Lemkin) | Test a different angle - reaching people who are learning about the space. |
| Ad Set 3 | Lookalike Audience (1%): Based on your 'Purchase' event (when you have enough data) | Leverage Facebook's algorithm to find people statistically similar to your best customers. This is often a huge winner. |
| Ad Set 4 | Lookalike Audience (1%): Based on 'Initiate Checkout' event (when you have enough data) | A slightly broader but still powerful audience to test against your purchaser lookalike. |
Suddenly, you're not dependant on one ad set. You're running a competition. You can clearly see which audience is performing and which isn't, and you can move your budget to the winners and turn off the losers. This is active management, not just waiting for something to break.
You should think about your creative as a system, not a single ad...
The second part of the equation is the creative. Just as you were using only one ad set, you were also using only one ad. Inside each of those ad sets in the table above, you should be testing multiple ads. I'd recomend at least 3-5 different creatives per ad set.
Why? Because you have no idea what's actually going to work. You might think a super polished studio photo is the one, but it could be a grainy, authentic-looking video shot on a phone that gets all the clicks. The algorithm is brilliant at figuring this out. If you give it one image, one video, and one carousel ad, it will quickly determine which format your audience prefers and start showing it to them more often. You are outsourcing the decision-making to the machine, which is much better at it than any human.
Here’s what you should be testing within each ad set:
-> Formats: Single Image vs. Video vs. Carousel. They all have different strengths. Images are quick to digest. Videos can tell a story. Carousels can showcase multiple products or features.
-> Copywriting Angles: Don't just say what your product is. Talk about the problem it solves. We often use established copywriting frameworks because they work. For instance:
Problem-Agitate-Solve: "Struggling to keep track of your team's projects in messy spreadsheets? (Problem) Deadlines are getting missed and communication is breaking down, making everyone feel stressed and behind. (Agitate) Our platform brings all your tasks, files, and conversations into one clear view, so you can deliver projects on time, every time. (Solve)"
Before-After-Bridge: "Before, your marketing meetings were filled with confusing reports and guesswork. (Before) Imagine a world where you can see exactly which ads are making you money and which are wasting it, all on one simple dashboard. (After) Our tool is the bridge that connects your ad spend to your revenue, giving you total clarity. (Bridge)"
-> Visuals: Even with a single image ad, you can test different images. A picture of the product vs. a picture of a happy customer using the product vs. a graphic with a bold headline. For B2B SaaS, we've seen great results with User-Generated Content (UGC) style videos - they look more authentic and less like an 'ad', which builds trust.
By having multiple ad sets, each with multiple ads, you create a powerful testing matrix. You're no longer just hoping one thing works; you're building a system to discover what works, and the algorithm is doing the heavy lifting for you.
You'll need to understand the numbers to make decisions...
This all sounds great, but how do you know when to make changes? How long do you let a bad ad set run? This is where a lot of people get stuck. They either turn things off too quickly before they have enough data, or they let them burn money for weeks.
The key is to move away from gut feelings and towards simple, data-based rules. A good rule of thumb we use is to judge an ad set based on your target Cost Per Acquisition (CPA). If your target CPA is £30, and a new ad set has spent £90 (3x your target CPA) without a single conversion, it's very unlikely to ever become profitable. You can confidently turn it off and allocate that budget to a better-performing ad set or a new test.
But this raises a more fundamental question: how do you even know what your target CPA should be? The answer to this changes everything. It's not about getting the 'cheapest' clicks or leads. It's about knowing how much you can afford to spend to acquire a customer. This is where we need to talk about Customer Lifetime Value (LTV).
Most business owners don't know this number, but it's the most powerful metric in advertising. It tells you what a customer is actually worth to you over their entire relationship with your business. Once you know that, you know how much you can spend to get one.
Here's a simplified way to calculate it:
1. Average Revenue Per Account (ARPA): What's the average amount a customer pays you each month? Let's say it's £150.
2. Gross Margin %: What's your profit margin on that revenue after your costs of goods/service? Let's say it's 75%.
3. Monthly Churn Rate: What percentage of customers do you lose each month? Let's say it's 5% (meaning the average customer sticks around for 20 months).
The Calculation:
LTV = (ARPA * Gross Margin %) / Monthly Churn Rate
LTV = (£150 * 0.75) / 0.05
LTV = £112.50 / 0.05 = £2,250
In this example, each customer you acquire is worth £2,250 in gross margin to your business. This is your truth. A common and healthy ratio for LTV to Customer Acquisition Cost (CAC) is 3:1. This means you can afford to spend up to £750 (£2,250 / 3) to acquire a single customer and still run a very profitable business.
Suddenly, a CPA of £100 doesn't look so scary, does it? It looks like an incredible bargain. This simple calculation frees you from the tyranny of cheap leads and allows you to make intelligent, aggressive decisions. It gives you the confidence to let your ad sets run long enough to gather data, because you know the goal isn't a £5 lead, it's a £750 customer acquisition.
I've detailed my main recommendations for you below:
This is a lot to take in, I know. We've gone from a simple question about one ad to a whole system of funnels, testing, and financial modelling. But this is what it takes to advertise succesfully and sustainably. To make it clearer, here is the main advice I have for you summarised.
| The Issue | My Recommendation | Why It Matters |
|---|---|---|
| Single Ad Set & Ad Structure | Scrap it. Build a multi-campaign structure based on a ToFu/MoFu/BoFu funnel. Start with a Prospecting campaign with 3-5 different audience ad sets (testing interests and lookalikes). | This prevents ad fatigue, allows for systematic audience testing, and lets you speak to users at different stages of their journey with relevant messaging. It turns advertising from guesswork into a science. |
| Creative Fatigue | Within each ad set, test 3-5 different creatives. Test different formats (image, video, carousel), copywriting angles (Problem-Agitate-Solve), and visuals. Continuously look for winners and replace losers. | You don't know what will work, but the algorithm can find out for you if given options. This process finds winning ad/audience combinations faster and keeps performance high over the long term. |
| No Clear Performance Benchmarks | Calculate your Customer Lifetime Value (LTV). Use this to establish a maximum allowable Customer Acquisition Cost (CAC), usually at a 3:1 ratio. Use this CPA target to decide when to kill underperforming ad sets. | This moves you from emotional decision-making ("that feels expensive") to data-driven optimisation ("that's a profitable customer"). It's the financial foundation of any scalable ad account. |
| Relying on Temporary Fixes | Stop duplicating fatigued campaigns. Instead, focus on optimising the system you've built. Turn off losing ad sets/ads and introduce new tests into the same long-running campaigns. | This preserves the learning and data within your campaigns, allowing the algorithm to get smarter over time. It creates a robust, evergreen system rather than a series of short-lived sprints. |
As you can probably tell, moving from simply running an ad to building a predictable growth engine has a fair few moving parts. It requires a clear strategy, a disciplined approach to testing, a good grasp of the numbers, and a constant stream of new creative ideas. It's a specialism in its own right.
We've helped many businesses make this exact transition. I remember one B2B SaaS client in the recruitment space who came to us with a very similar problem. They had a few ads running, performance was inconsistent, and their Cost Per User Acquisition was around £100, which they felt was way too high. By implementing a proper funnel structure, rigorous testing of lookalike audiences and UGC creative, and focusing on their LTV, we were able to reduce their CPA down to just £7. That's the kind of transformation that's possible when you have a proper system in place.
If you'd like to go through your account together on a call and have us map out a specific action plan for you, we offer a completely free, no-obligation initial strategy session. It's a chance for you to see how we think and get some direct, actionable advice for your business.
Hope this helps!
Regards,
Team @ Lukas Holschuh
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.