Published on 7/25/2025 Staff Pick

Solved: Broad Targeting with Dynamic Creative Optimisation

Inside this article, you'll discover:

I have a campaign running on FacebookAds with broad targeting plus dynamic creative. I am testing a few videos, texts, and headlines, but it looks like almost all sales are from just one video. Should i just copy the winning post ID and move it to a new broad ad set? or should i let the dynamic creative keep running until it learns and stops spending so much on the other creatives?

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 situation regarding your dynamic creative setup. While the short answer is pretty simple, I think it points to a much bigger, more fundamental issue with how you're approaching your Meta ads right now. Frankly, you're making it much harder and more expensive for yourself than it needs to be.

What you're dealing with isn't really a choice between two buttons in Ads Manager. It's about the entire strategy, from who you're targeting to what you're asking them to do. Getting this foundation right is the only way you'll build something that can actually scale profitably, rather than just burning cash and hoping for the best. Let's get it sorted.

We'll need to look at your fundamental campaign objective...

Right, first things first. Let's talk about this "broad targeting" approach with a brand new pixel. Here is the uncomfortable truth: you are actively paying Facebook to find you the worst possible audience for your product.

I know that sounds harsh, but it's how the algorithm works. When you set your campaign live with broad targeting and a pixel that barely has any data (50-60 orders is next to nothing in Meta's world), you give the algorithm a very vague command. You're essentially telling it, "Find me anyone in this country who might buy my product."

The algorithm, in its infinite wisdom, does exactly what you asked, but with its own priority: efficiency. It seeks out the largest number of people for the lowest possible price. Who are these people? They're the users inside your targeting who are least likely to click, least likely to engage, and absolutely, positively least likely to ever pull out a credit card. Why? Because those users are not in demand. Their attention is cheap. Other advertisers aren't bidding for them because they know they don't convert. You are stepping in and buying up the inventory no one else wants.

Many people think they need to run 'awareness' campaigns or go broad to "warm up" an audience. This is a myth that costs new businesses a fortune. Awareness is a byproduct of having a great product that solves a real problem and makes sales, not a prerequisite for making a sale. You don't have the budget of Coca-Cola, so you can't afford to just spray your ads everywhere. Every pound you spend must be geared towards a conversion. One campaign we worked on for a women's apparel brand achieved a 691% return not by chasing awareness, but by focusing single-mindedly on driving purchases from day one.

Your job right now isn't to ask the pixel to perform miracles. Your job is to *teach* the pixel. You need to spoon-feed it high-quality, relevant data by targeting people who are much more likely to be your ideal customer. Once it has hundreds, preferably thousands, of conversions from a very specific type of person, *then* you can start to trust it with broader audiences because it has a clear picture of who to look for. Starting broad is like trying to teach a child calculus before they can count to ten. It's backwards.

I'd say you need to completely rethink your targeting strategy...

So, how do we fix this? We stop gambling and start building a proper structure. When I audit client accounts, the biggest mistake I see is a chaotic approach to audience testing. They'll have a random collection of ad sets with weirdly combined interests, no clear funnel logic, and no idea what's actually working.

You need a prioritised hierarchy. Think of it like a funnel. Here's how I'd usually structure it for an ecommerce account, and the logic applies to pretty much any buisness:


Top of Funnel (ToFu) - Finding New People:

This is where you are right now, trying to find new customers. This is your priority.

  • -> Detailed Targeting (Interests, Behaviours): This should be your starting point. Not broad. You need to give the algorithm clues.
  • -> Lookalike Audiences: Once you have enough data (at least 100 purchases, but honestly you want more like 1,000+ for it to be really potent), you create audiences of people who *look like* your existing customers. We'll get to this later.
  • -> Broad Targeting: This is the absolute last step, only for when your pixel is highly intelligent and you're scaling a proven offer. You are miles away from this.

Middle of Funnel (MoFu) - Re-engaging People:

These are people who have shown some interest but haven't bought yet.

  • -> All website visitors (excluding purchasers)
  • -> People who watched a certain percentage of your videos
  • -> People who engaged with your Facebook or Instagram page

Bottom of Funnel (BoFu) - Closing the Sale:

These are your hottest prospects, the ones closest to buying.

  • -> People who added to cart (but didn't purchase)
  • -> People who initiated checkout (but didn't purchase)

For a new account, you live in the ToFu stage, specifically within 'Detailed Targeting'. You need to do the work of figuring out what interests define your ideal customer. Don't just pick broad interests like 'shopping' or 'fashion'. You need to get specific. What magazines do they read? What brands do they love? What public figures do they follow? What tools or software do they use? Group these into logical themes and test them in seperate ad sets.

This brings me to your original question about Dynamic Creative. Dynamic Creative is a tool for optimising elements *within a winning audience*. It's not a discovery tool for finding an audience in the first place. You've essentially asked Facebook to test 3 videos, 3 texts, and 3 headlines across a massive, undefined broad audience. The system is just throwing stuff at a wall to see what sticks, and it's incredibly inefficient with your budget. The fact that one video is getting 95% of the sales is a clear signal. You've found a winner *despite* your setup, not because of it.

So, to answer your question directly: YES, you absolutely must pull that winning video out. Copy its Post ID to preserve the social proof (likes, comments). Create a new, standard ad set (not dynamic). Put that single winning video in it with its best-performing copy and headline. Then, and this is the most important bit, run that ad set against a tightly defined *interest-based* audience, not another broad one. Then duplicate that ad set and test it against another interest-based audience. That's how you start to build a real, data-driven picture of what works.

You probably should define your customer by their nightmare, not a demographic...

This is where we go a level deeper. "Detailed targeting" is only as good as your understanding of the customer. Most people create a sterile, demographic-based profile: "Women, aged 25-40, living in London, interested in skincare." That tells you almost nothing of value and leads to generic ads that speak to no one.

To stop burning cash, you must define your customer by their *pain*. Their specific, urgent, expensive nightmare. Your Ideal Customer Profile (ICP) isn't a person; it's a problem state. Your product is the solution to that problem.

Forget demographics for a second and ask yourself these questions:

  • -> What problem was so frustrating that it led to the creation of your new product?
  • -> What is the "before" state of your customer? What does their life look like without your product? Are they annoyed, wasting time, feeling insecure, missing out on something?
  • -> What is the specific "nightmare scenario" your product helps them avoid?

For example, say you sell a special kind of baby swaddle. The nightmare isn't 'needing a blanket'. It's being a new parent, utterly exhausted, at 3 AM, with a screaming baby that just won't sleep, feeling like a complete failure. Your product isn't a swaddle; it's a good night's sleep. It's sanity.

Once you've isolated that nightmare, you can find your people. Where do they go to talk about this problem? The sleep-deprived parent is in "New Mums UK" Facebook groups, following baby sleep consultant influencers on Instagram, and buying other products that promise relief. This intelligence isn't just data; it's the blueprint for your entire targeting strategy. Do this work first, or you have no buisness spending another pound on ads.

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

Now that you know the *pain* and you have a better idea of *where* to find the people experiencing it, you need to craft the ad itself. Your winning video is likely already doing this well, probably by accident. But you need to understand the formula so you can replicate it.

Your ad needs to speak directly to the nightmare. Forget listing features. Nobody cares about features; they care about the transformation. There are two simple, powerful frameworks for this:

1. Problem-Agitate-Solve (PAS)

  • Problem: State the nightmare directly. "Struggling to get your newborn to sleep through the night?"
  • Agitate: Poke the wound. Make them feel the pain. "Are you exhausted, stressed, and just want a moment of peace? Is the constant crying making you feel helpless?"
  • Solve: Introduce your product as the hero. "Our 'Miracle Swaddle' uses patented compression tech to mimic the womb, calming your baby to sleep in minutes. Get your sleep back."

2. Before-After-Bridge (BAB)

  • Before: Paint a picture of their current world of pain. "Another 3 AM wake-up call. Your baby is crying, you're exhausted, and tomorrow's another long day."
  • After: Show them the promised land. "Imagine laying your baby down, fully content, and they sleep peacefully until morning. You wake up feeling refreshed and ready for the day."
  • Bridge: Your product is the bridge that gets them from Before to After. "The 'Miracle Swaddle' is the bridge to peaceful nights. See how it works."

Look at your winning video. I'll bet it shows the "After" state. It probably shows a happy, sleeping baby or a relieved-looking parent. It's selling the outcome, not the product. Your copy and headlines need to do the same thing. By understanding *why* that video works, you move from relying on luck to building a repeatable creative strategy.

I've detailed my main recommendations for you below:

This is a lot to take in, I know. It's a fundamental shift from just running ads to building a proper customer acquisition machine. To make it clearer, here is the exact process I would follow if I were in your shoes. This is the main advice I have for you:

Phase Action Rationale
Phase 1: Strategy & Foundation
(Do this NOW, before spending more)

1. Pause All Campaigns: Immediately stop the broad/dynamic creative campaign. It's wasting your money and teaching the pixel bad habits.

2. Define Your ICP's Nightmare: Go through the exercise above. What is the deep, emotional pain your product solves? Write it down.

3. Initial LTV Calculation: Do a rough calculation of what a customer is worth to you. (Average Order Value x Gross Margin x Repeat Purchase Rate). This gives you a target for your acquisition cost.

This stops the bleeding and forces you to build a solid foundation. Without knowing who you're targeting and what they're worth, you are simply gambling. This provides the strategic direction for all future actions.
Phase 2: Campaign Restructure
(The New Setup)

1. Create a New CBO Campaign: Start fresh. Optimise for Conversions (Purchases).

2. Create 3-5 Themed Ad Sets: Inside the CBO, create separate ad sets. Each ad set should target a specific *theme* of detailed interests based on your ICP research (e.g., Ad Set 1: Competitor Brands, Ad Set 2: Influencers in your niche, Ad Set 3: Related magazines/blogs).

3. No Dynamic Creative: Turn this option off for now. We need control and clear data.

This structure allows you to systematically test which audiences respond best to your offer. The CBO will automatically allocate budget to the best-perfoming ad set, giving you clear, actionable data on which customer profile is most profitable.
Phase 3: Creative Deployment & Testing
(Using What You've Learned)

1. Deploy Your Winner: Take your winning video (using the Post ID) and its best text/headline. Put this single ad inside *each* of your new interest-based ad sets.

2. Analyse Your Winner: Why did it work? Does it follow PAS or BAB? Use this insight to brainstorm 2-3 new ad variations (videos or images).

3. Test New Creatives: Once you have a winning audience, you can start testing new creatives against it to try and beat your current winner.

You're pitting your best ad against your most promising audiences to find a profitable combination quickly. This isolates variables: if the ad works in Ad Set 1 but not Ad Set 2, you know the audience is the issue, not the ad. This is how you learn and improve methodically.
Phase 4: Scaling & Retargeting
(Once you have consistent sales)

1. Build Retargeting Audiences: Create a new campaign for MoFu/BoFu audiences (Website Visitors, Add to Cart, etc.). Show them ads with social proof or special offers to bring them back.

2. Launch Lookalike Audiences: Once you have 500-1000+ purchases, create a 1% Lookalike audience of your purchasers. Test this in a new ad set in your ToFu campaign. This is often where true scale comes from.

3. Re-introduce Broad (Carefully): Only when you have a very mature pixel (thousands of purchases) and a high budget might you test a broad ad set again. The pixel will now have a much better idea of who to find.

This is the path to profitable growth. You first maximise conversions from your most promising audiences, then you use that data to find millions of new people just like them via lookalikes. It's a deliberate, step-by-step process, not a lottery ticket.

As you can probably tell, getting this right involves a lot more than just a quick fix in Ads Manager. It's a combination of deep customer psychology, strategic thinking, and a methodical, data-driven process of testing and optimisation. Every failed ad set with a new pixel costs you not just money, but also pollutes your data, making it harder for the algorithm to learn.

This is the kind of strategic framework and hands-on implementation we bring to our clients. We've taken software companies from a £100 cost per acquisition down to £7, and as I mentioned earlier, helped an eCommerce women's apparel brand achieve a 691% return on their ad spend by applying these exact principles. It's not magic, it's just a rigorous process that most people don't have the time or experience to implement correctly.

If you'd like to go through your setup in more detail and get a concrete action plan, we offer a free, no-obligation initial consultation where we can audit your account together. It might be helpful to have an expert pair of eyes on it.

Regards,

Team @ Lukas Holschuh

Real Results

See how we've turned 5-figure ad spends
into 6-figure revenue streams.

View All Case Studies
$ Software / Google Ads

3,543 users at £0.96 each

A detailed walkthrough on how we achieved 3,543 users at just £0.96 each using Google Ads. We used a variety of campaigns, including Search, PMax, Discovery, and app install campaigns. Discover our strategy, campaign setup, and results.

Implement This For Me
$ Software / Meta Ads

5082 Software Trials at $7 per trial

We reveal the exact strategy we've used to drive 5,082 trials at just $7 per trial for a B2B software product. See the strategy, designs, campaign setup, and optimization techniques.

Implement This For Me
👥 eLearning / Meta Ads

$115k Revenue in 1.5 Months

Walk through the strategy we've used to scale an eLearning course from launch to $115k in sales. We delve into the campaign's ad designs, split testing, and audience targeting that propelled this success.

Implement This For Me
📱 App Growth / Multiple

45k+ signups at under £2 each

Learn how we achieved app installs for under £1 and leads for under £2 for a software and sports events client. We used a multi-channel strategy, including a chatbot to automatically qualify leads, custom-made landing pages, and campaigns on multiple ad platforms.

Implement This For Me
🏆 Luxury / Meta Ads

£107k Revenue at 618% ROAS

Learn the winning strategy that turned £17k in ad spend into a £107k jackpot. We'll reveal the exact strategies and optimizations that led to these outstanding numbers and how you can apply them to your own business.

Implement This For Me
💼 B2B / LinkedIn Ads

B2B decision makers: $22 CPL

Watch this if you're struggling with B2B lead generation or want to increase leads for your sales team. We'll show you the power of conversion-focused ad copy, effective ad designs, and the use of LinkedIn native lead form ads that we've used to get B2B leads at $22 per lead.

Implement This For Me
👥 eLearning / Meta Ads

7,400 leads - eLearning

Unlock proven eLearning lead generation strategies with campaign planning, ad creative, and targeting tips. Learn how to boost your course enrollments effectively.

Implement This For Me
🏕 Outdoor / Meta Ads

Campaign structure to drive 18k website visitors

We dive into the impressive campaign structure that has driven a whopping 18,000 website visitors for ARB in the outdoor equipment niche. See the strategy behind this successful campaign, including split testing, targeting options, and the power of continuous optimisation.

Implement This For Me
🛒 eCommerce / Meta Ads

633% return, 190 % increase in revenue

We show you how we used catalogue ads and product showcases to drive these impressive results for an e-commerce store specialising in cleaning products.

Implement This For Me
🌍 Environmental / LinkedIn & Meta

How to reduce your cost per lead by 84%

We share some amazing insights and strategies that led to an 84% decrease in cost per lead for Stiebel Eltron's water heater and heat pump campaigns.

Implement This For Me
🛒 eCommerce / Meta Ads

8x Return, $71k Revenue - Maps & Navigation

Learn how we tackled challenges for an Australian outdoor store to significantly boost purchase volumes and maintain a strong return on ad spend through effective ad campaigns and strategic performance optimisation.

Implement This For Me
$ Software / Meta Ads

4,622 Registrations at $2.38

See how we got 4,622 B2B software registrations at just $2.38 each! We’ll cover our ad strategies, campaign setups, and optimisation tips.

Implement This For Me
📱 Software / Meta & Google

App & Marketplace Growth: 5700 Signups

Get the insight scoop of this campaign we ran for a childcare services marketplace and app. With 5700 signups across two ad platforms and multiple campaign types.

Implement This For Me
🎓 Student Recruitment / Meta Ads

How to reduce your cost per booking by 80%

We discuss how to reduce your cost per booking by 80% in student recruitment. We explore a case study where a primary school in Melbourne, Australia implemented a simple optimisation.

Implement This For Me
🛒 eCommerce / Meta Ads

Store launch - 1500 leads at $0.29/leads

Learn how we built awareness for this store's launch while targeting a niche audience and navigating ad policies.

Implement This For Me

Featured Content

LinkedIn Ads for SaaS: The Complete Growth Blueprint

Struggling with LinkedIn Ads for SaaS? Discover the blueprint to predictably acquire customers by defining your ICP's nightmare and crafting high-value offers.

January 22, 2026

Solved: Need LinkedIn Ads Agency for B2B SaaS in London

I'm trying to find an agency that know how to run LinkedIn ads for B2B SaaS, but I'm having a tough time finding someone in London that get it.

January 22, 2026

Solved: Video ads or still images on Facebook Ads?

I'm trying to figure out if I should make video ads or just use still images on Facebook. Because it's a newer solution to business problems, I'm thinking of using still images to get a simple message across to users. What do you all recommend?

January 22, 2026

Find the Best PPC Consultant in London: Expert Guide

Tired of PPC 'experts' who don't deliver? This guide reveals how to find a results-driven PPC consultant in London, spot charlatans, and ensure a profitable ad strategy.

January 22, 2026

B2B Social Media Advertising: Generate Leads on LinkedIn & Meta

Unlock the power of B2B social media advertising! This guide reveals how to choose the right platforms, target your ideal customers, craft compelling ads, and optimize your campaigns for lead generation success.

January 22, 2026

Fix Failing Facebook Ads: The Ultimate Troubleshooting Guide

Frustrated with Facebook ads that burn cash? This expert guide reveals why your campaigns fail and provides a step-by-step strategy to turn them into profit-generating machines.

January 22, 2026

Building Your In-House Paid Ads Team vs. Hiring an Agency: A Founder's Decision Framework

Struggling to decide between an in-house team and an agency? Discover a founder's framework that avoids costly mistakes by focusing on speed, expertise, and risk mitigation. Learn how a hybrid model with a junior coordinator and the agency will let you scale faster!

January 22, 2026

The Complete Guide to Meta Ads for B2B SaaS Lead Generation

B2B SaaS ads failing? You're likely making these mistakes. Discover how to fix them by targeting pain points and offering instant value, not demos!

January 22, 2026

Google Ads vs. Meta Ads: A Data-Driven Framework for E-commerce Brands

Struggling to choose between Google & Meta ads? E-commerce brands, discover a data-driven framework using LTV. Plus: Target search intent & ad creative tips!

January 22, 2026

The Small Business Owner's First Paid Ads Campaign: A Step-by-Step Guide

Struggling with your first paid ads? It's likely you're making critical foundational mistakes. Discover how defining your customer's 'nightmare' and LTV can unlock explosive growth. Plus: high-value offer secrets!

January 22, 2026

The Complete Guide to Google Ads for B2B SaaS

B2B SaaS Google Ads a money pit? Target the WRONG people & offer demos nobody wants? This guide reveals how to fix it by focusing on customer nightmares.

August 15, 2025

The Ultimate Guide to Stop Wasting Money on LinkedIn Ads: Target Ideal B2B Customers & Drive High-Quality Leads

Tired of LinkedIn Ads that drain your budget and deliver poor results? This guide reveals the common mistakes B2B companies make and provides a proven framework for targeting the right customers, crafting compelling ads, and generating high-quality leads.

July 26, 2025

Solved: Best bid strategy for new Meta Ads ecom account?

Im starting a new meta ads account for my ecom company and im not sure what bid strategy to use.

July 18, 2025

Unlock The Ad Expertise You're Missing.

Free Consultation & Audit