Solved: Best Way to Test New Facebook Ads with Existing Campaign?

Hi there,

Thanks for reaching out! I'm happy to give you some initial thoughts on your situation. You've asked about the best way to introduce new product ads into a campaign that's already performing well, which is a great question to be asking. It shows you're thinking about growth but also cautious about disrupting what already works.

The simple answer would be to just create a new ad set and test them. But to be honest, I think that just scratches the surface of what you should be doing. Your question points to a much bigger, more common problem I see with ad accounts: a lack of a robust, scalable structure. So, instead of just a quick fix, I'm going to walk you through a more fundamental shift in how you should approach your advertising. It'll give you a reliable system to not just test these new products, but every product you launch from here on out, without gambling with your budget.

We'll need to look at your reliance on broad targeting...

First off, congratulations on getting a broad campaign to work well. A lot of people struggle with that. But I have to be brutally honest here: relying on a single, broad campaign is like building your house on a foundation of sand. It might be standing firm right now, but it's not stable or predictable in the long run, espescially when you start trying to sell new things.

When you set a campaign to be 'broad', you're essentially telling Meta's algorithm "here's $100, go find me some people who might buy". The algorithm is very good at what it does, but its primary command is to get you the most results for the lowest cost. What this often means is it finds the 'low-hanging fruit' – the users inside your country who are cheapest to show ads to. These people are cheap because they're not in high demand; they're often serial clickers, not necessarily serial buyers. You're effectively paying to reach the least valuable slice of the market. The only reason it's working for you right now is likely because your existing product has a very wide appeal and you've fed the pixel enough data for it to find a pocket of buyers.

The problem is, this approach offers you zero control and zero insight. You dont really know *who* is buying, *why* they're buying, or how to find more people like them. It's a black box. When you introduce a new product, you're asking the algorithm to start this guessing game all over again. Will it find the right people for this new product? Maybe. But you're rolling the dice. This is not a strategy; it's a gamble. And you can't build a sustainable business on gambles. We've seen so many accounts where this works for a while, then performance suddenly falls off a cliff and the owner has no idea why or how to fix it because they never had a proper targetting strategy to begin with.

The goal isn't just to get sales today, it's to build a predictable engine for growth. To do that, we need to move away from hoping the algorithm figures it out, and towards telling it exactly who we want to reach.

I'd say you need a proper campaign structure...

This is the most important change you're going to make. Instead of one campaign doing everything, you need to structure your account to mirror a customer's journey. In the agency world, we call this a funnel approach: Top of Funnel (ToFu), Middle of Funnel (MoFu), and Bottom of Funnel (BoFu).

It sounds more complicated than it is. It's just a way of organising your efforts:

-> Top of Funnel (ToFu): Prospecting. This is where you find new people who've never heard of you. This is where you'll test your new products and new audiences. You're trying to gauge interest and drive initial traffic. Your current broad campaign is essentially a ToFu campaign, but a very uncontrolled one.

-> Middle of Funnel (MoFu): Nurturing. This is for people who have shown some interest but haven't bought yet. They've visited your website, watched a video, or engaged with an ad. Here, you retarget them with ads that build more trust, show social proof (like reviews), or highlight different product features.

-> Bottom of Funnel (BoFu): Closing. This is for the hottest prospects. People who've added a product to their cart or started the checkout but didn't finish. These ads are direct and urgent, often with a small incentive like "Complete your order" or a reminder.

Why does this work so much better? Because it lets you speak to each person with the right message at the right time. You wouldn't talk to a stranger on the street the same way you'd talk to someone who's about to hand you their credit card. Your advertising should be no different.

This structure also solves your original problem perfectly. You create a dedicated ToFu campaign specifically for testing. Inside this campaign, you can have one ad set for your proven products and a *seperate* ad set for your new products. This way you're not messing with what works. You can allocate a small part of your budget (say, $20-$30 of your $100/day) just to the new product ad set. If it works, great. If it doesn't, you've only risked a small amount and your core business keeps running smoothly. This is how you test methodically, not randomly. We used this kind of clear seperation for an outdoor equipment client to structure their campaigns, and that structure was the principal reason we were able to drive 18,000 qualified website visitors and build their retargeting pools so effectively.

Here's a simplified view of what this might look like for an eCommerce store:

With a $100/day budget, you could split it something like: $60 to ToFu ($30 for each ad set) and $40 to Retargeting. Your retargeting ad sets will be much more efficient, so they don't need a huge budget to perfom well.

You probably should rethink your audience targeting...

Okay, so we've established we need to move beyond 'broad'. The next question is, what do we target instead? This is where you need to do a bit of thinking about your Ideal Customer Profile (ICP). Forget demographics for a moment. The most powerful way to define your customer is by their pain, their passions, and their problems.

Let's say one of your new products is a high-quality, ethically sourced coffee bean. Targeting an interest like "coffee" is useless. That includes everyone from people who buy instant coffee at the supermarket to genuine connoisseurs. The interest is too broad, and you'll waste money showing your premium product to people who would never buy it. Your ad spend is far too precious for that.

Instead, you need to find interests that act as a filter. What else would a person who'd buy your coffee be interested in?

• -> Specific Equipment: People interested in "AeroPress," "Chemex," "V60 Dripper." These people have already invested in their coffee habit. They are pre-qualified.
• -> Specific Publications or Influencers: Followers of James Hoffmann, or readers of "Standart Magazine." They are actively seeking to deepen their knowledge.
• -> Competing or Complementary Brands: People who like pages for other specialty roasters or high-end cafe chains.

The key here is to find interests where a high percentage of the audience members are your ideal customer. For every new product, you should brainstorm a list of 5-10 of these highly specific interests. Group them into themed ad sets and test them against each other. This is how you feed you're pixel with high-quality data. Once you've found winning interests, you can then create Lookalike audiences from your best customers, which is far more powerful than starting with broad.

This process of methodical testing is what separates professional advertisers from amateurs. You're not just throwing things at the wall; you're running controlled experiments to find out what truly works. It takes more effort up front, but it's the only way to build a campaign that you can scale with confidence. A client of ours in the women's apparel space saw a 691% return on ad spend precisely because we stopped guessing and started a rigorous testing process based on who their *actual* customer was, not who they thought she was.

You'll need a message they can't ignore...

Once you have the right structure and the right targeting, the final piece is the ad itself—the creative and the copy. An ad for a new product shown to a cold audience (ToFu) needs to do a lot of heavy lifting. It needs to stop the scroll, explain the value, and persuade someone to click, all in about three seconds.

The biggest mistake people make is just listing features. Nobody cares that your new gadget has a 'lithium-ion battery'. They care that it 'lasts all day so you're never caught out'. You need to sell the outcome, not the specification. Two powerful frameworks for this are Problem-Agitate-Solve (PAS) and Before-After-Bridge.

Let's take our coffee example again.

Before: Your morning coffee is a bitter, disappointing routine.

After: You start every day with a café-quality cup that genuinely excites you.

Bridge: Our single-origin beans, roasted to perfection last week, are the bridge.

Here's how that might look in some ad copy variations:

See the difference? We're not just saying "buy our coffee." We're tapping into an emotion, a frustration, and offering a clear solution. This is how you make your ads relevant and compelling. For every new product, you should test at least 2-3 different messaging angles like this, alongside different images or videos. Remember, the number one reason campaigns fail is a weak offer, or an offer presented weakly. Your ads must make the value of your product immediately and powerfully obvious.

We should calculate what a customer is actually worth to you...

This might feel like a big leap, but it's vital. Right now, you're judging success based on a $100/day budget. But how do you know if a $10 cost per purchase is good or bad? You don't, unless you know what a customer is actually worth to your business over their lifetime (Customer Lifetime Value, or LTV).

Knowing this number changes everything. It turns you from a cost-cutter into a strategic investor. The real question isn't "How cheap can I get a sale?" but "How much can I profitably afford to spend to acquire a new customer?"

The calculation can get complex, but a simple version for eCommerce looks like this:

LTV = (Average Order Value x Purchase Frequency x Gross Margin) / Churn Rate

Let's break that down with some imaginary numbers for your store:

• -> Average Order Value (AOV): Let's say it's £50.
• -> Purchase Frequency: How many times a customer buys per year. Let's say loyal customers buy 4 times a year.
• -> Gross Margin: Your profit on each sale. Let's say it's 60% (0.6).
• -> Churn Rate: The percentage of customers who don't come back the next year. Let's say you lose 30% of your customers each year (0.3).

So the lifetime value of an average customer is:

LTV = (£50 AOV * 4 purchases/year * 0.6 margin) / 0.3 churn rate

LTV = (£120) / 0.3 = £400

In this hypothetical scenario, each customer you acquire is worth £400 in gross margin to your business over their lifetime. A healthy rule of thumb is to have an LTV to Customer Acquisition Cost (CAC) ratio of at least 3:1. This means you can afford to spend up to £400 / 3 = £133 to acquire a single new customer and still have a very profitable business.

Suddenly, that $10 (or ~£8) cost per purchase you might be getting doesn't just look good, it looks incredible. And it means if you're testing a new product and the CPA is £20, or even £50, you shouldn't panic and turn it off immediately. It might still be very profitable in the long run. This is the maths that allows you to scale agressively and intelligently. It gives you a clear North Star for all your advertising efforts.

This is the main advice I have for you:

I know this is a lot to take in, so I've broken down my main recommendations into a simple table. This is the roadmap I'd suggest you follow to build a much stronger, more scalable advertising operation.

Implementing all of this correctly takes time, effort, and expertise. It's a shift from just 'running ads' to building a proper marketing system. We've used these exact principles to help eCommerce clients achieve results like a 1000% return on ad spend for a subscription box and a 633% return for a cleaning products brand. It works because it's a strategic system, not a tactic.

If you'd like to go over this in more detail, I'd be happy to offer you a free, no-obligation strategy session. We could have a look at your current account together, and I could help you map out a more detailed plan to put this structure in place. It's often the single most valuable change a growing brand can make.

Hope this helps!

Regards,

Team @ Lukas Holschuh