Published on 12/11/2025 Staff Pick

Solved: How Many Creatives per Campaign Should We Use?

Inside this article, you'll discover:

Such mishmash of advice. Are you recommending how many creatives per campaign we should use? Some people are saying this is too many, are you?

Mentioned On*

Bloomberg MarketWatch Reuters BUSINESS INSIDER National Post

Hi there,

Thanks for reaching out! Happy to give you some of my initial thoughts and guidance on your question about creative testing. It's a question we get a lot, and you're right, there's a ton of conflicting advice out there.

The short answer is that the "one campaign, one asset" approach is almost always a recipe for wasting money. Real growth in paid advertising doesn't come from finding a single "magic" ad; it comes from building a systematic testing framework that constantly finds new winners and tells you what works and why. I'll walk you through how we approach this below.

TLDR;

  • The 'one campaign, one asset' method is a flawed strategy that prevents learning and effective optimisation. Stop doing it immediately.
  • Structure your account by the marketing funnel (Top of Funnel, Middle of Funnel, Bottom of Funnel) to serve the right message to the right person at the right time.
  • Prioritise your audience testing logically, starting with high-intent retargeting and lookalikes of your best customers before moving to broader interests.
  • The most important advice is to test creative *angles* and *formats* systematically within this structure, rather than just throwing random ads at the wall.
  • This letter includes a flowchart for campaign structure and interactive calculators to help you figure out your own LTV and affordable Cost Per Lead.

You'll need a better system than "one creative per campaign"...

Let's get this out of the way first. The idea of running one campaign with a single ad creative is one of the most common and costly mistakes I see people make. It's like going fishing with a single hook and a single type of bait and hoping every fish in the lake loves it. It just doesn't work like that.

Why is it so bad? A few reasons:

-> No Learning: If the ad works, you don't know *why*. Was it the image? The headline? The audience? If it fails, you're in the same boat. You've learned nothing except that one specific combination didn't work. You're back to square one with zero actionable data.

-> No Scalability: Let's say you get lucky and the one ad does work. Great. What happens in three weeks when it stops working due to ad fatigue? You have no backup, no new angles to test, and no understanding of what else might resonate with your audience. Your growth stalls instantly.

-> Inefficient Spending: Ad platforms like Meta and Google are built on algorithms that thrive on data. By giving them only one option, you're tying their hands. They can't optimise delivery, they can't find cheaper pockets of your audience, and they can't test different placements effectively. You're essentially forcing the platform to be dumber than it is, which usually results in higher costs for you.

I remember one eCommerce client who came to us after spending thousands on this exact strategy. They had hundreds of tiny campaigns, each with one ad. It was an absolute mess. They had no idea what was actually driving sales and were just throwing money at whatever seemed to work that day. By implementing a proper testing structure, we not only increased their revenue but also made their account manageable and their results predictable. That's the goal here: predictable, scalable growth, not random luck.

I'd say you need to structure your campaigns properly...

Before you even think about how many creatives you need, you have to get the campaign structure right. This is the foundation for everything. Without it, your testing will be chaotic and your results will be messy. We structure almost every account we manage around the marketing funnel. It's a simple concept but incredibly powerful.

Here's what it looks like in practice:

1. Top of Funnel (ToFu) - Prospecting: This is your cold audience. These people have likely never heard of you. The goal here isn't necessarily an immediate sale (though it can happen). The goal is to introduce your brand, identify people who have the problem you solve, and get them to take a small first step, like visiting your website.

2. Middle of Funnel (MoFu) - Consideration: This is your warm audience. These are people who have engaged with you in some way—they've visited your site, watched a video, liked a post—but haven't purchased or become a lead yet. The goal here is to build trust, overcome objections, and move them closer to a decision.

3. Bottom of Funnel (BoFu) - Conversion: This is your hot audience. These people are on the verge of converting. They've added a product to their cart, initiated checkout, or visited your pricing page. The goal here is to give them that final nudge to get them over the line.

You should have separate, long-term campaigns for each of these stages. Why? Because the audience and the message for each stage are completely different. You wouldn't talk to a complete stranger (ToFu) the same way you'd talk to someone who's about to hand you their credit card (BoFu). By separating them, you can tailor your messaging, offers, and budget to what's most effective at each stage.

ToFu (Prospecting)

Target: Cold Audiences (Interests, Lookalikes)
Goal: Awareness & Website Traffic

MoFu (Consideration)

Target: Warm Audiences (Website Visitors, Video Viewers)
Goal: Build Trust & Nurture

BoFu (Conversion)

Target: Hot Audiences (Cart Abandoners, Checkout Initiators)
Goal: Drive Sales/Leads


A visual representation of the recommended ToFu, MoFu, and BoFu campaign structure. Each stage targets a different audience with a specific goal and message.

We'll need to look at prioritising your audiences...

Once your campaigns are structured, the next step is to test audiences within them. But you don't just test random audiences. There's a clear hierarchy of what's likely to perform best, especially on a platform like Meta. The closer an audience is to your desired conversion event (like a purchase), the better it will generally perform.

This is the order we usually test audiences in, starting with what's most likely to work:

Funnel Stage Audience Type Specific Examples (in order of priority)
BoFu (Bottom) Hot Retargeting Added to Cart, Initiated Checkout (last 7-14 days)
MoFu (Middle) Warm Retargeting All Website Visitors, Product Page Viewers (last 30-90 days)
ToFu (Top) High-Quality Lookalikes Lookalike of Purchasers, Lookalike of highest LTV customers
ToFu (Top) Lower-Quality Lookalikes Lookalike of Add to Carts, Lookalike of All Website Visitors
ToFu (Top) Detailed Targeting Specific, niche interests relevant to your ideal customer

You start testing within your ToFu campaign using an ad set for each of your most promising audiences. For a new account, you might start with 3-5 different interest-based ad sets. For an account with data, you'd start with your highest quality lookalikes. The key is to keep them separate so you can clearly see which audience performs best. Don't lump them all together. Once you have enough data (you generally need at least 100 people for a custom audience to work), you build out your MoFu and BoFu campaigns with retargeting audiences.

The quality of your source audience for lookalikes is absolutely vital. A lookalike based on your best customers (highest LTV) will almost always outperform one based on general website visitors. The algorithm is only as good as the data you give it.

8.5x
LAL (Purchasers)
5.2x
LAL (Add to Cart)
2.1x
LAL (Website Visitors)
1.5x
Broad Interests

Illustrative ROAS based on Lookalike (LAL) audience quality. Higher-intent source audiences, like purchasers, typically generate significantly better returns than lower-intent sources like website visitors.

You probably should focus on testing angles, not just ads...

Okay, so now we have the structure. This is where we finally talk about creatives. Inside each of your ToFu ad sets (the audience tests), you should run multiple ads. But again, not just random ads. You need to be systematic.

I usually recommend starting with 3-5 creatives per ad set. But the number isn't as important as the *variation*. You want to test different hypotheses.

-> Test Different Angles: An "angle" is the core message or hook. For example, if you sell high-quality kitchen knives, your angles could be 'Durability' (lasts a lifetime), 'Precision' (perfect cuts every time), or 'Status' (the choice of professional chefs). You need to find which pain point or desire resonates most with each audience.

-> Test Different Formats: Within each angle, you can test different formats. A static image, a carousel, a short video, a user-generated content (UGC) style video. Some audiences respond better to video, others to a simple, clear image. For a number of our SaaS clients, UGC videos have been incredibly effective, much more so than slick, corporate-style productions. You won't know until you test.

So, instead of "one ad per campaign," you now have, for example, one ToFu campaign, 3 ad sets (each testing a different audience), and 4 ads inside each ad set (e.g., Angle 1 as an image, Angle 1 as a video, Angle 2 as an image, Angle 2 as a video). Now you're generating real data. You'll quickly see which audiences and which creative approaches are your winners.

You'll need to know when to kill an ad...

Testing is pointless if you don't know how to interpret the results and act on them. A common question is, "How long should I wait before turning an ad off?"

The answer isn't about time; it's about money. My rule of thumb is pretty simple: if an ad set or a specific ad has spent 2-3 times your average target Cost Per Acquisition (CPA) without a single conversion, it's time to turn it off. It's probably not going to become profitable.

For example, if you know a new customer is worth £100 to you and you're aiming for a £25 CPA, once an ad set hits £50-£75 in spend with no sales, it gets paused. Don't get emotionally attached to your ads. Trust the data.

This is where understanding your numbers becomes absolutely crticial. You can't make good decisions if you don't know what a lead or a customer is actually worth to you. This is where calculating your Lifetime Value (LTV) is so important.

Let's run through a quick example. Let's say you're a SaaS business.

  • Average Revenue Per Account (ARPA): £100/month
  • Gross Margin: 80%
  • Monthly Churn Rate: 5%

Your LTV would be (£100 * 0.80) / 0.05 = £1,600. So, each customer is worth £1,600 in gross margin. A healthy business might aim to spend 1/3 of that on acquisition, meaning your target CPA is around £533. All of a sudden, paying £50 for a lead that might convert doesn't seem so bad, does it? This maths frees you from chasing cheap, low-quality leads and allows you to invest in acquiring proper customers.

Customer Lifetime Value (LTV)
£1,600
Affordable CPA (at 3:1 LTV:CAC)
£533

Use this interactive calculator to estimate your Customer Lifetime Value (LTV) and what you can afford to spend on Customer Acquisition Cost (CPA). Results are for illustrative purposes only. For a tailored analysis, please consider scheduling a free consultation.

Once you identify winning audiences and creative angles, you don't just leave them. You scale them. This usually means gradually increasing the budget on the winning ad sets. At the same time, you're taking what you've learned from the winning creative (e.g., "The 'Precision' angle works best with video") and creating new variations to test against your current winner. This creates a cycle of continuous improvement, which is the complete opposite of the static "one ad" aproach.

This is the main advice I have for you:

To wrap this up, let's put it into a clear, actionable plan. Forget about the "right number" of creatives and instead adopt a systematic process. The mishmash of advice exists because people are looking for a simple answer to a complex problem. The real answer is having a solid framework.

Step Action Why It Matters
1. Structure Create separate, always-on campaigns for ToFu, MoFu, and BoFu stages. Allows you to tailor messaging and budgets to audience temperature, improving relevance and efficiency.
2. Audience Testing Within your ToFu campaign, create 3-5 separate ad sets, each targeting a different high-potential audience (e.g., LAL of Purchasers, LAL of Leads, a niche interest group). Isolates variables so you can definitively identify which audiences drive the best results for your offer.
3. Creative Testing Inside each ad set, place 3-5 ads that test 2 different core 'angles' across 2 different 'formats' (e.g., Angle A in video, Angle A in image, Angle B in video, Angle B in image). Uncovers the core messaging and visual style that resonates most, giving you repeatable formulas for future ads.
4. Optimise After spending 2-3x your target CPA per ad set, pause the underperforming audiences and creatives. Reallocate budget to the winners. Systematically eliminates wasted spend and concentrates your budget on the combinations proven to work.
5. Iterate & Scale Create new creative variations based on the winning 'angle' and test them against the current top performer. Gradually increase the budget on winning ad sets. Prevents ad fatigue and creates a system of continuous improvement, leading to sustainable and predictable growth.

As you can probably tell, this is a lot more involved than just setting up an ad and hoping for the best. It's a continuous process of hypothesising, testing, learning, and optimising. It requires a deep understanding of the platform, your audience, and your own business metrics.

Getting this framework right is often the difference between an ad account that struggles to break even and one that becomes a reliable engine for growth. If you feel like this is a bit overwhelming or you'd just rather have an expert team handle it for you, that's what we do. We help businesses build and manage these kinds of scalable advertising systems every day.

We offer a free, no-obligation initial consultation where we can take a look at your specific situation and ad account together. We can give you some more tailored advice and show you exactly what we'd do to improve things. It's a great way to get some expert eyes on your strategy, with no strings attached.

Regards,

Team @ Lukas Holschuh

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