Businesses that already have customers, whether many or few, are sitting on a treasure many overlook. Your existing customer data is the key to finding new customers many times more accurately, through a technique called a Lookalike Audience.
What is a Lookalike Audience?
A Lookalike Audience is a new target audience the ad platform builds for you based on your existing customer data, such as a list of past buyers or people who liked your page. The platform's AI analyses the shared behaviours and traits of this group, then finds other people with similar behaviour to show your ads to.
Why more existing customers give you an edge
The higher the quality and quantity of your existing customer data, the more accurately the AI can learn the patterns. A business with at least 100–1,000 real buyers will get more accurate Lookalike results than one with very little customer data. That's why collecting customer data early is so important, even while your business is still small.
The broader a Lookalike Audience, the better, because it reaches more people.
A narrow Lookalike (1%), closest to your existing customers, usually delivers higher-quality results than a broad one (10%), even though it reaches fewer people.
Which data makes the best Lookalike source?
- Lists of customers who actually purchased (highest quality)
- People who spent a long time on your website or viewed several pages
- People who added you on LINE or messaged you with questions
- People who liked your page or frequently engage with your posts (lower quality)
Summary
A Lookalike Audience is one of the most powerful techniques for finding new customers. Instead of guessing who might be interested in your product, the system uses real data from customers who have already bought to find similar people. The better your existing customer data, the more accurate the results.