Published on 11/26/2025 Staff Pick

Solved: Facebook Ads Audience Overlap with $200-$600 Budget

Inside this article, you'll discover:

Is audience overlap an issue when I'm spending like 200-600 dollar every day? I've got these adventage+ campaigns doing pretty good, targeting different countries and all that. I wanna add some new adds but I dont wana go back to learning phase. How would you do it? Thinking maybe just adding them to retargeting (like, all interactions and stuff). Or should I do a new campaign that hits up all countries at the same time? you got any other ideas?

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Hi there,

Thanks for reaching out!

I had a look at your situation. It's a good problem to have – campaigns working so well that you're worried about touching them. But that fear of the learning phase and audience overlap is probably what's holding you back from scaling properly. Let's get that sorted.

TLDR;

  • Audience overlap isn't the monster you think it is, especially with Advantage+ and your budget. Meta's algorithm is built to handle it. Over-segmenting your campaigns is a much bigger risk.
  • Don't be scared of the learning phase. It's a necessary evil. Avoiding it by not testing new ads is how you get ad fatigue and watch your performance die a slow death.
  • The best way to scale is to simplify. I'd reccomend a structure with one main Advantage+ campaign for prospecting and a seperate standard campaign for all your retargeting.
  • This letter includes a flowchart of my recommended account structure and an interactive calculator to help you project your Cost Per Acquisition (CPA) based on typical performance metrics.

First off, let's talk about audience overlap...

Honestly, with a budget of $200-$600 a day and Advantage+ campaigns, you shouldn't be losing sleep over audience overlap. It's a bit of an old-school concern that doesn't apply in the same way anymore. The algorithm is pretty good at managing this on its own, it conducts an internal auction to prevent your own ad sets from bidding against each other too much.

The real danger isn't overlap; it's over-segmentation. When you split your budget across loads of different campaigns and ad sets for each country, you're actually starving the algorithm of data. You give it tiny little sandpits to play in instead of one massive beach. This makes it much harder for it to find pockets of customers efficiently, which ends up driving your costs up and making the learning phase last forever. Your idea of a new campaign with all countries together is actually closer to the right approach than you think.

The myth of avoiding the 'learning phase'

I see this all the time. People get a campaign out of learning and then they're terrified to touch it. But here's the thing: creative fatigue is real. The ads that are working brilliantly today will stop working in a few weeks or months. If you don't have a constant stream of new creative to test, your performance will eventually plateau and then decline. Fact.

You have to see the learning phase as a cost of doing business, a necessary step to find the next winning ad. The goal isn't to *avoid* learning, it's to get through it as quickly as possible with good data. And you do that by feeding the algorithm enough budget and a big enough audience to learn from, which is exactly what a simplified structure does. Adding new ads into your existing, well-performing Advantage+ campaign is a valid strategy, but can sometimes disrupt what's already working. A better way is having a clear system.

A simpler account structure I'd recommend...

Instead of thinking in terms of countries, I'd suggest thinking in terms of the customer journey: prospecting (finding new people) and retargeting (talking to people who already know you). This gives you the best of both worlds – the power of Advantage+ for acquisition and the control of a standard campaign for your warm audiences.

Here’s what that looks like visually:

Campaign 1: Prospecting

Advantage+ Shopping. All similar countries combined. Test all new creatives here.

Campaign 2: Retargeting

Standard Conversions. All website/social engagers. Use proven creatives.

Result

Stable scaling, efficient learning, and clear performance data.


A simplified campaign structure separating broad prospecting from controlled retargeting. This gives the algorithm maximum data for finding new customers while allowing strategic messaging for warmer audiences.

You'll need to look at your prospecting strategy...

For finding new customers, you want to give Meta's AI as much room to work as possible. I'd set up one single Advantage+ Shopping Campaign and put the bulk of your budget into it (maybe 70-80%).

Inside this campaign, you group your countries by similarity. For example, create one campaign targeting the "Big 5" english speaking countries (USA, UK, Canada, Australia, New Zealand). Then maybe another for top-performing European countries. This consolidation gives the algorithm a huge audience pool to optimise within, which is exactly what it needs to perform at its best. This is also where you should be testing all your new ads. Let them run, see what the algorithm latches onto, and double down on the winners.

When you're trying to figure out what you can afford to spend, you need to understand the relationship between what you pay for a click and how well your landing page converts that click. Here’s a simple calculator to play with those numbers.

Estimated Cost Per Acquisition (CPA): $50.00

This interactive calculator helps estimate your CPA based on CPC and CVR. Adjust the sliders to see how improving your ad creative (lower CPC) or your landing page (higher CVR) impacts your acquisition cost. Results are for illustrative purposes only. For a tailored analysis, please consider scheduling a free consultation.

I'd say you need a dedicated retargeting campaign...

This is where you claw back all the low-hanging fruit. I would set up a seperate, standard conversions campaign for this, not Advantage+. This gives you more control over who you're targeting and how often they see your ads. Here, you'll put the remaining 20-30% of your budget.

Your audiences here should be based on intent. You want to group people by how close they got to buying from you. I usually structure it like this, from warmest to coolest:

BoFu (Bottom of Funnel)

Added to Cart / Initiated Checkout (Last 7-14 days)

MoFu (Middle of Funnel)

Viewed Products (Last 30 days)

ToFu (Top of Funnel - Warm)

All Website Visitors / Social Engagers (Last 90 days)


A prioritised retargeting funnel. Start with your highest-intent audiences (BoFu) and work your way down. You can combine these into a single ad set if your audience sizes are small.

You'd use your proven, best-performing ads in this campaign. The message here is different – it’s about reminding them, overcoming objections, or maybe showing them a testimonial or a specific offer to get them over the line. You don't need to constantly test new creative here in the same way you do for prospecting.

But how does this affect my returns?

This kind of structure is built for one thing: profitable scaling. By giving the prospecting algorithm what it needs (budget and data) and treating your retargeting with a bit more surgical precision, you create a stable system. We've used this exact approach for numerous eCommerce clients. One subscription box company we worked with hit a 1000% Return On Ad Spend. Another apparel brand, which was struggling with fragmented international campaigns, saw a 691% return after we consolidated their structure. The principles are sound.

At the end of the day, it's all about your Return on Ad Spend (ROAS). If you know your numbers, you can make much better decisions. This calculator can help you see how changes in your ad spend and revenue affect your overall return.

Return on Ad Spend (ROAS): 5.00x

Use this interactive calculator to estimate your Return on Ad Spend (ROAS). Adjust the sliders to see how changes in spend and revenue impact your return. Results are for illustrative purposes only. For a tailored analysis, please consider scheduling a free consultation.

I've detailed my main recommendations for you below:

This is a lot to take in, so here it is broken down into actionable steps.

Recommendation Why It's Important First Step to Take
Consolidate Prospecting Gives the algorithm maximum data and budget to find new customers efficiently, speeding up the learning phase and lowering costs. Create one new Advantage+ Shopping Campaign. Group your current target countries into logical clusters (e.g., Tier 1 English) and create an ad set for each cluster.
Create a Seperate Retargeting Campaign Allows you to control messaging and frequency for your warmest audiences without interfering with the prospecting algorithm. Set up a new Standard Conversions Campaign. Create ad sets targeting your BoFu (Add to Cart/Checkout) and MoFu (Product Viewers) audiences.
Systematise Creative Testing Prevents ad fatigue and ensures you always have new, high-performing ads to fuel your scaling efforts. This is non-negotiable for long term success. Commit to adding 2-3 new ad creatives to your main Prospecting campaign every single week. Use your best performers in the retargeting campaign.

Why you might want an expert eye on this

Look, the ideas I've laid out are straightforward, but making them work in the real world can be tricky. Knowing how to allocate budget between the campaigns, what creative angles to test, how to interpret the data to make the right decisions... that all comes from experience. It's the difference between a good account and a great one that can scale profitably month after month.

Getting an expert to review your setup can often uncover opportunities you might have missed and prevent costly mistakes as you start to push your budget higher. If you'd like, we offer a completely free, no-obligation strategy session where we can go through your account together on a call and I can give you some more specific pointers.

Hope this helps!

Regards,

Team @ Lukas Holschuh

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