Published on 11/25/2025 Staff Pick

Solved: Facebook Lookalike Audience Insufficient Data Fix

Inside this article, you'll discover:

I need sum help with facebooks look alike audience. i have purchase data and view content but its not working properly. I got like plenty view content in events data in the last month, like over 500. But when i try make lookalike it showing insufficient data. Its showing like few purchases than i actually had on my pixels, which is way less than actually data i have. Whats going on? you can give me help?

Mentioned On*

Bloomberg MarketWatch Reuters BUSINESS INSIDER National Post

Hi there,

Thanks for reaching out! Happy to give you some of my thoughts on the Lookalike audience issue you're having. It's a really common frustration, and the reason why it happens isn't what most people think.

The short answer is that Facebook's "100 users" rule is a bit of a lie, or at least it's misleading. It's not about the number of *events* you have, but the number of *unique, matched users in a single country* that Facebook can identify from those events. I'll walk you through why this is happening and give you a proper strategy to fix it and build audiences that actually work.

TLDR;

  • The "insufficient data" error for Lookalikes isn't about total events (e.g., 500 view contents). It's about having at least 100 unique, matched users from a single country. Your 500 events might come from fewer than 100 unique people, or people Facebook can't match to a profile.
  • Stop trying to build Lookalikes from low-quality events like 'View Content'. Prioritise building audiences from high-intent actions like 'Purchase', 'Initiate Checkout', and 'Add to Cart'. Quality over quantity is everything.
  • This letter includes a Lookalike Readiness Calculator to help you estimate your actual unique matched users and see why you might be falling short.
  • The most important advice is to restructure your campaigns around a proper funnel (ToFu, MoFu, BoFu). This approach systematically builds the high-quality data you need for powerful Lookalikes and effective retargeting.
  • Focus on getting more 'Purchase' data first. Even if it takes longer, a Lookalike of your actual buyers will always outperform a Lookalike of people who just browsed a page.

So, what's really going on with your Lookalike Audience?

Right, let's get this sorted. You're seeing hundreds of pixel events, but Facebook is telling you there's not enough data. It feels like the platform is broken, but it's actually working as designed, it's just not explained well at all.

The problem is the difference between 'events' and 'unique matched users'.

Imagine one super-keen customer visits your site 10 times in a week and views 20 different products. That's 20 'View Content' events right there, but it's only from one person. Facebook needs a seed audience of at least 100 *different people* to build a reliable Lookalike.

Then there's the 'match rate'. Not every person who visits your website is logged into Facebook or Instagram on that browser. Or they might be using ad blockers, or iOS14 privacy settings might be kicking in. Facebook can only use the data from people it can confidently match to a profile on its platform. A typical match rate might be anywhere from 50-80%. So even if you have 120 unique visitors, you might only have 60-90 matched users.

And the final kicker: the 100 unique, matched users must all come from the same country. If your 500 'View Content' events are from 80 people in the UK, 20 in the US, and 15 in Canada, you can't create a Lookalike for any of those countries because none of them hit the 100-user threshold on their own.

This is why you see the "insufficient data" error. It's almost never about the total event count. It's a user count, match rate, and geography problem. You can use the calculator below to get a feel for how quickly your numbers can shrink.

Lookalike Audience Readiness Calculator

Estimated Unique Matched Users in One Country: 140 Ready to Create Lookalike

Use this calculator to see how total events, user uniqueness, and match rate affect your ability to create a Lookalike audience. Notice how quickly a large number of events can result in fewer than 100 matched users. Results are for illustrative purposes only. For a tailored analysis, please consider scheduling a free consultation.

I'd say you need to forget 'View Content' and build a proper audience hierarchy

Here's the most important bit of advice I can give you: stop worrying about 'View Content'. It's a garbage metric for building high-quality audiences. It tells you someone landed on a page, that's it. It says nothing about their intent to buy.

You need to think like a sales funnel. Someone who buys is infinitely more valuable than someone who just looks. Someone who adds a product to their cart is far more valuable than someone who just views the page. Your audience strategy needs to reflect this reality.

When we take on a new eCommerce account, we build out the campaign structure based on this funnel. We call it ToFu, MoFu, and BoFu (Top, Middle, and Bottom of Funnel). Your goal should be to get enough data at the BoFu level ('Purchase') to build your most powerful audiences.

Top of Funnel (ToFu)

Goal: Find new people. These are your cold audiences.

  • Detailed Targeting (Interests)
  • Broad Targeting (Once pixel is mature)
  • Lookalikes of HIGH-QUALITY sources (e.g., Purchasers)

Middle of Funnel (MoFu)

Goal: Re-engage people who've shown some interest but haven't taken a key action.

  • All Website Visitors (last 30-90 days)
  • Video Viewers (e.g., 50%+)
  • Social Media Engagers

Bottom of Funnel (BoFu)

Goal: Convert people who are close to buying. Your warmest audiences.

  • Viewed Cart / Added to Cart
  • Initiated Checkout
  • Added Payment Info

This flowchart shows a simplified campaign structure. You start by driving cold traffic (ToFu), then retarget those who show interest (MoFu), and finally focus on converting those with high intent (BoFu).

The audiences on the right (BoFu) are your goldmine. These are the people who have shown the strongest signals that they want to buy from you. Your first priority with ads should be to get more people into this BoFu bucket, specifically getting more 'Purchase' events. The more purchase data your pixel has, the smarter it gets, and the better your future cold-traffic campaigns will perform.

You'll need a clear, prioritised plan of action

Okay, so theory is great, but what should you actually do right now? Here's the step-by-step process I'd follow if I was looking at your account.

Step 1: Stop trying to create a 'Purchase' Lookalike for now. It's not ready. Pushing it is a waste of time. Same goes for 'View Content' Lookalikes – they're worthless. Just because you can create one doesn't mean you should.

Step 2: Focus your budget on getting more purchases. Run a campaign with the 'Sales' objective, optimising for 'Purchase' conversions. At the start, you'll need to use broad or interest-based targeting (ToFu). Your main goal here isn't immediate profitability (though that's nice), it's to feed your pixel with high-quality purchase data. You are paying for data as much as you are paying for sales.

Step 3: Build out your retargeting audiences (MoFu/BoFu). As soon as you have 100+ people in your 'Add to Cart' or 'Initiate Checkout' audiences, create a separate retargeting campaign for them. Show them ads that overcome objections, offer a small discount, or show social proof like customer testimonials. These campaigns are often very profitable and help push people over the line to purchase, which in turn feeds your pixel with more of that valuable data.

Step 4: Create Lookalikes from the RIGHT source audiences. Once you *finally* have 100+ unique, matched purchasers in a single country, that is the *first* Lookalike you should create. A 1% Lookalike of your buyers is the holy grail of cold targeting. If that's still too far away, you can work your way up the funnel. Create a Lookalike of 'Initiate Checkout' or 'Add to Cart'. These will almost always perform better than one based on 'Website Visitors' or 'View Content'. The quality of the source audience is everything.

Relative Quality of Lookalike Source Audiences

Purchasers
Highest
Initiated Checkout
Very High
Add to Cart
High
All Website Visitors
Medium
View Content
Low
Social Engagers
Very Low

This chart illustrates the general performance you can expect from Lookalikes based on different source audiences. Always prioritise the highest-quality, highest-intent audience available to you.

I've detailed my main recommendations for you below:

This is the main advice I have for you. It's a shift in mindset from just "getting enough data" to "getting the right data". Following this structure will solve your current problem and set you up for much more scalable, predictable results in the future.

Priority Action Why It's Important
1. Immediate Change your primary campaign objective to 'Sales' optimising for the 'Purchase' event. You need to start gathering the most valuable data. This tells Facebook's algorithm exactly who your ideal customers are, which improves all future targeting.
2. Short-Term Set up a simple BoFu retargeting campaign for 'Add to Cart' and 'Initiate Checkout' (last 14-30 days). This is your lowest-hanging fruit. It captures high-intent users who got distracted, recovers lost sales, and accelerates the collection of 'Purchase' data. It will probably be your most profitable campaign.
3. Medium-Term Once you have 100+ 'Purchases' from a single country, create your first 1% Lookalike audience from that source. This will be your most powerful cold audience. It lets you find new customers who share characteristics with people who have already given you money. It's the foundation for scaling.
4. Ongoing Systematically test new ToFu audiences (interests, then other Lookalikes like ATC/Checkout) against your winning 'Purchase' Lookalike. Never rely on one audience. Constant testing is the only way to find new pockets of customers, lower your acquisition costs over time, and prevent ad fatigue from killing your campaigns.

You probably should consider getting some expert help

As you can probably tell, this stuff gets complicated pretty quick. It's not just about pushing buttons in Ads Manager; it's about having a deep understanding of how the algorithms work and building a solid strategy based on years of experience.

We've worked on tons of eCommerce accounts, and we've seen this exact problem countless times. I remember one client with a subscription box service who came to us with the same issue – lots of traffic but couldn't create good Lookalikes and their ROAS was terrible. By implementing this exact ToFu/MoFu/BoFu structure and focusing on gathering quality data, we were able to get them to a 1000% Return On Ad Spend.

Trying to figure all this out on your own can be a very expensive and slow process of trial and error. You could easily spend thousands on ads that don't work, all while getting more and more frustrated.

Working with an agency or a consultant means you get to skip the painful learning curve and go straight to a strategy that's proven to work. We can do a full audit of your account, build out the proper campaign structures for you, and manage the whole process so you can focus on running your business.

If you'd like, we offer a completely free, no-obligation initial consultation where we can take a proper look at your ad account together and give you some more specific, actionable advice. It's often the quickest way to see where the biggest opportunities are.

Hope this helps!

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

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