Custom Audience Lookalike Create Customer Files: The Ultimate Secret 2025

Custom Audience Lookalike Tạo Tệp Khách Hàng: Bí Quyết Tối Ưu 2025

Custom Audience Lookalike Create Customer Files: The Ultimate Secret 2025

Running ads forever but the money keeps "evaporating" but the orders are nowhere to be found? I used to struggle just like you, the feeling of throwing money out the window every day when targeting an innocuous hobby. Until I discovered the "power couple" Custom Audience Lookalike creates customer files. This is not an empty theory, but a practical secret that has helped me reduce advertising costs by more than 40% and skyrocket sales. I will share all my hard-earned experiences in this article, not hiding any tricks for you to apply immediately in 2025!

Don't burn any more money! Understand the true nature of Custom Audience and Lookalike in 3 minutes

Custom Audience is a file of people who already know and interact with you, while Lookalike Audience is a file of brand new people whose behavior and interests are identical to your old customer file. Understanding the nature of these two types of audiences is the first step for you to optimize your Facebook advertising budget.

To run Facebook ads successfully today, letting go of targets or just focusing on choosing interests is outdated. The Meta platform is getting smarter, and what it needs is accurate "signals" from you. That's where Custom Audiences and Lookalike Audiences come into play. You feed the Facebook Ads Manager machine learning a standard data file, and it will bring you customers ready to cash out their wallets.

Custom Audience (Custom Audience): "Racket" old customers, how to standardize?

Custom Audiences are specific groups of customers who have had a touchpoint with your business, such as visiting your website, messaging your fanpage, or being in a list of phone numbers you upload.

So what exactly is Custom Audience? It is your own "gold mine" of customer data. Using this file is the core of remarketing campaigns. Instead of looking for strangers, you show your ads to people who already know who you are, thereby optimizing conversions at the cheapest cost. Similar to how you set up Remarketing Google Ads to reach customers again to pursue users on the Google ecosystem, Custom Audience on Facebook helps you thoroughly "follow" your target customers on social networks. You can create this file from many sources such as Facebook Pixel, App Activity (app activity) or even Offline Activity (offline activity).

Lookalike Audience: "Clone" genuine customers, the key to revenue explosion is here!

Lookalike Audience is a tool that helps the Meta algorithm automatically find new users on Facebook who share similar demographic and behavioral characteristics with an original customer file that you provide.

If you're wondering what Lookalike Audience is and why it's so divine, the answer lies in its "cloning" ability. Based on a quality seed audience file, Meta will analyze thousands of data points about customer behavior and customer preferences to find the most perfect copies. This is the fastest way to create lead files from Custom Audience and Lookalike to scale (expand) campaign size and increase sales dramatically without exhausting the file.

Quick comparison: When to use Custom Audience, when to "develop" Lookalike?

You should use Custom Audience when the goal is to close sales with old customers or upsell, and use Lookalike Audience when you need to find new blood, expand the market to reach potential customers who have never heard of the brand.

To make it easier to visualize, I created a quick Custom Audience and Lookalike Audience comparison table so you know when to use Custom Audience and Lookalike Audience for your strategy:

Criteria Custom Audience (Custom Audience) Lookalike Audience (Similar Audience)
Bản chất Former customers, people who interacted (Warmth: Hot/Warm) Brand new customer, unknown brand (Warmth: Cold)
Mục tiêu chính Remarketing, closing sales, taking care of old customers Find new customers, expand scale (Scale up)
Quy mô tệp Small, limited by your actual traffic/data volume Very large (millions depending on the percentage)

Detailed instructions on how to create "golden" customer files for beginners

To create these audience files, you need to access the Audiences tool within Meta's Ads Manager, then select the appropriate data source for the system to begin collecting and building the file.

If you are looking for instructions on running effective Facebook ads with custom audiences, then technical operations are a must to master. The interface may change a bit over time, but the core principles remain the same. If you are completely new to digital marketing, besides Facebook, mastering the search platform is also essential; You can see more Google Ads instructions for running ads from scratch to diversify channels to reach customers.

Step 1: Create Custom Audience - The foundation of every successful campaign

In Ads Manager, select "Create Audience" > "Custom Audience," then select a data source (like Website, Customer List, or Facebook Page) and set up retention conditions.

How to create a Custom Audience on Facebook is actually very simple if you have prepared the ingredients. There are two main groups of sources:

  • Nguồn của bạn: Tải lên file Excel/CSV chứa SĐT/Email khách hàng, hoặc dùng dữ liệu website traffic (yêu cầu phải cài đặt Facebook Pixel chuẩn xác).
  • Nguồn của Meta: Tạo tệp những người đã xem video, tương tác trên Facebook (like, share, comment trên bài viết/quảng cáo), hoặc những người đã gửi tin nhắn cho Page. Bạn có thể linh hoạt chọn thời gian (ví dụ: tương tác trong 30 ngày, 90 ngày hay 365 ngày) để tệp sát với chân dung khách hàng mục tiêu nhất.

Step 2: Create an effective Lookalike Audience - From quality source files to the golden "similarity ratio".

You select "Create Audience" > "Lookalike Audiences", then select the Custom Audience file as the source, select the country location, and drag the slider to select a similarity percentage from 1% to 10%.

The secret to creating an effective Facebook Lookalike Audience lies in understanding the similarity ratio. The 1% level includes people who are most similar to your source file (small size but high quality). When you go up 5% or 10%, the file size will be much larger but the accuracy will be reduced. My advice is to always start testing at 1-2% before expanding your advertising budget.

Optimization secret 2025: Don't just create, but "raise" and "take care of" object files

In 2025, with the rise of Meta Advantage, the optimal secret is to continuously update high-quality source data and let machine learning algorithms have more space to automatically find customers.

Optimizing Custom Audience and Lookalike Audience is not a one-time job and then leave it at that. The algorithm changes every day, and these are the Custom Audience and Lookalike Audience 2025 optimization tips that veteran ads runners are applying.

"Source data" is king: Popular types of Custom Audiences and how to choose the best quality files

The best source file to create a Lookalike is a list of customers who have purchased many times (High LTV), instead of just using a file of people who have only texted to ask for prices or interacted for a while.

Among the popular Custom Audience types, their quality is ranked from high to low as follows:

  1. The customer has made a purchase (with high order value).
  2. The customer has added to cart but has not yet paid.
  3. People texting Fanpage.
  4. Website visitors.
  5. People who interact with posts/videos. The benefits of Custom Audience and Lookalike Audience are only maximized when your "input" is truly "clean" and quality. Garbage in, garbage out, that's an immutable law.

Tips for testing and scaling Lookalike Audience like an expert: From CBO, Stacking to choosing the % similarity ratio suitable for the Vietnamese market

The most effective scaling strategy today is to group multiple Lookalike files (eg 1%, 2%, 3%) into one ad group and use the campaign budget (CBO/Advantage+ Campaign Budget) to let the machine learn to allocate money.

At Pham Hai, we realize that the secret to optimizing Facebook advertising with Custom Audience and Lookalike in the Vietnamese market is not to split the file too much. The automation trend is rising on every platform; Similar to how Meta uses Advantage+, Google also has a similar solution. You can learn about Performance Max campaign Google Ads to see the similarity in machine learning automatically finding customers based on a large signal file. Combine Lookalike files, creating a large enough file (about 3-5 million people) so that the Meta Advantage system has enough space to optimize, thereby significantly increasing advertising effectiveness.

Optimize advertising costs (CPM, CPA): Combine Lookalike files with other target classes and exclude unnecessary audiences

To reduce costs, you must exclude the Custom Audience file (customers who have purchased) from the Lookalike campaign, and add a light targeting layer about age or geographical location.

This is how to reduce Facebook advertising costs using Custom Audience and Lookalike with immediate results. Many people run the Lookalike file but forget to "Exclude" people who have already made a purchase. As a result, the ad is shown again to the same person, needlessly increasing CPM (cost of impression) and CPA (cost per action). Smart customer targeting is knowing who to show up and who to avoid.

Actual case study: How did I reduce costs and increase orders?

By skillfully combining pursuing old customers with Custom Audience and finding new customers with Lookalike Audience, I have reduced the cost per message by 40% and doubled the conversion rate.

Below are the two most practical examples of the Custom Audience Lookalike application creating customer files that I have directly deployed successfully.

Example 1: Remarketing for customers who abandoned shopping carts using Custom Audience from Website Traffic

I created a Custom Audience file that includes people who have visited the checkout page but have not completed a purchase in the past 7 days, then ran a separate freeship code promotion for this file.

The results were truly surprising. With only a very small budget to chase this website traffic file, I have "raced" more than 30% of almost missed orders. Advertising at this time hits the customer's hesitation about shipping fees. CPC (cost per click) is extremely cheap because the relevance of the ad is absolute.

Example 2: Expand the market with a 5-10% Lookalike file from the VIP customer list

Instead of clinging to the expensive 1% Lookalike file, I export the VIP customer list file (purchased more than 3 times) as the source object file, create a 5% Lookalike and give full control to the optimal Meta algorithm.

Niche markets sometimes drain the 1% file very quickly, causing CPMs to skyrocket. When loosening the 5% limit, combined with extremely attractive short video Facebook ad content, my CPA actually decreased by 20%. Meta's machine learning is currently smart enough to pan for gold in a large file, as long as your "mold" (VIP source file) is accurate enough.

Flexible application of Custom Audience and Lookalike Audience is not outdated, you just don't know how to use it correctly and update it according to the new algorithm. Don't just waste money blindly running ads based on your interests. Start with the customer data you have, that is the real "gold mine". Building, nurturing and optimizing these audience files not only helps you reduce costs and increase immediate sales, but is also the foundation for building a sustainable marketing strategy for 2025 and beyond.

What source have you tried creating Lookalike files from that brings the highest closing rate for your industry? Please share your real-life experiences in the comments section below so our community can learn and grow together!

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Categories: Digital Marketing Facebook Ads

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