How to Build Campaigns That Target Lookalike Audiences

Introduction

Finding new customers can be tough, especially when you’ve already reached your core audience. That’s where lookalike audiences come in. They allow you to reach fresh prospects who are similar to your best existing customers. Instead of guessing, Meta’s algorithm studies your data—purchases, website visitors, or leads—and finds people with similar behaviour. This makes your campaigns smarter, more efficient, and easier to scale. Let’s explore how to build campaigns that target lookalike audiences step by step.

1. What Are Lookalike Audiences?

A lookalike audience is a group of new users who share traits with your existing customers. For example, if your best customers are women aged 25–35 in Delhi who buy skincare online, Meta can find more people with similar interests and behaviour.

2. Choosing the Right Source Audience

Your lookalike is only as good as the seed audience you provide. Good sources include:

1. Customer email lists.
2. Website visitors tracked by Pixel.
3. People who added to cart or purchased.
4. High-value customers (top spenders).

Always start with the most qualified audience, not just random page likes.

3. Setting the Audience Size

When creating lookalikes, Meta lets you choose percentages (1%–10%).

1. 1% Lookalike: Closest match, smaller audience, high quality.
2. 3%–5% Lookalike: Larger reach, but slightly less precise.
3. 6%–10% Lookalike: Broad reach for scaling, but lower similarity.

Pro tip: Start with 1% for quality, then expand to larger percentages for scale.

4. Building the Campaign in Ads Manager

1. Go to Audiences → Create Lookalike Audience.
2. Choose the source (Pixel, customer list, app data).
3. Pick the country or region.
4. Select the percentage size.
5. Save and use this audience in your campaign setup.

5. Creative Strategy for Lookalike Campaigns

Since these users don’t know you yet, treat them as cold audiences. Use creatives that:

1. Introduce your brand clearly.
2. Show social proof (reviews, testimonials).
3. Highlight your strongest USPs.

Example: A skincare brand targeting lookalikes of past buyers should show before–after results and reviews to build trust fast.

6. Testing Multiple Lookalikes

Don’t just stop at one lookalike. Test variations:

1. Lookalike of all purchasers vs. lookalike of top 20% spenders.
2. 1% vs. 3% vs. 5%.
3. Lookalike of leads vs. lookalike of website traffic.

This helps you identify which seed audience drives the best results.

7. Combining Lookalikes With Other Targeting

Layering makes campaigns sharper. For example:

1. Lookalike audience + age filter.
2. Lookalike + interest category.
3. Lookalike + location targeting.

This ensures your ads reach the right type of people in the right places.

8. Scaling With Lookalikes

Once you find a winning lookalike, scale budgets gradually. Expand to broader percentages (e.g., from 1% to 3%) to keep growing while maintaining performance.

9. Real-Life Example

An e-commerce clothing brand used a lookalike audience of top spenders. At 1% similarity, they saw higher ROAS than cold targeting. Once results stabilised, they expanded to 3% lookalike and scaled budgets, doubling sales while keeping CAC low.

Lookalike audiences are a powerful way to find new customers who are most likely to convert. By using the right source data, testing multiple percentages, and combining with smart creatives, you can build campaigns that scale profitably without wasting budget.

At AlmostZero, we specialise in setting up and optimising lookalike campaigns. From audience building to creative strategy, our team ensures you reach the right people at the right time.