What is a lookalike audience?
Lookalike audiences help you find new customers who share similar characteristics with your existing best customers. They expand your reach to people likely to be interested in your business.
Key points
- Based on data from your existing customer base.
- Expands your advertising reach to new, relevant users.
- Improves campaign efficiency by targeting similar profiles.
- Requires a high-quality "seed" or source audience for best results.
Why it matters
Lookalike audiences are incredibly valuable for marketing teams because they make your advertising more efficient and effective. Instead of broadly targeting demographics or interests, which can sometimes be hit-or-miss, lookalikes let you focus your ad spend on people who closely resemble your proven customers. This precision can lead to higher conversion rates and a better return on your advertising investment.Enhanced targeting precision
Traditional targeting methods might cast a wide net, reaching many people who aren't truly interested. Lookalike audiences, however, refine this process significantly. By building on the foundation of your most valuable customers, these audiences allow platforms to pinpoint users with a higher propensity for conversion. This means less wasted ad spend and more relevant impressions for your brand. It's like having a detailed map to find treasure, rather than just guessing where it might be.Scalability for reach
One of the biggest advantages of lookalike audiences is their ability to scale. While your custom audience (your existing customers) might be limited in size, a lookalike audience can be much larger, sometimes reaching millions of people. This allows you to expand your marketing campaigns significantly without sacrificing targeting quality. You can reach a vast new pool of potential customers who are likely to respond positively to your ads, helping your business grow.How lookalike audiences are created
Creating a lookalike audience starts with a "source audience" or "seed audience." This is the group of people you want to emulate. The quality and relevance of this source audience are crucial for the success of your lookalike.Selecting your source audience
Your source audience can come from several places:- Customer lists: Upload a list of your existing customers, especially those who have made high-value purchases or are loyal.
- Website visitors: People who have visited specific pages on your website, like product pages or a checkout confirmation page.
- App users: Users who have taken specific actions within your mobile app, such as completing a tutorial or making an in-app purchase.
- Engagement audiences: People who have engaged with your content on social media, like liking your Facebook page, watching your videos, or interacting with your Instagram posts.
The platform's algorithm at work
Once you provide the source audience, the advertising platform's algorithm gets to work. It analyzes hundreds or even thousands of data points about the people in your source audience to identify common characteristics. These can include demographic information, interests, online behaviors, and even connections to other pages or groups. The algorithm then searches its vast user base to find other people who share these identified traits, creating your lookalike audience. You usually specify a percentage (e.g., 1% to 10%) of a country's population you want the lookalike audience to represent, with smaller percentages being more similar to your source.Best practices for using lookalike audiences
To get the most out of lookalike audiences, it's important to follow some key strategies.Start with a strong source audience
The foundation of any successful lookalike campaign is a high-quality source audience. Aim for a list of at least 1,000 to 50,000 active, engaged users who represent your ideal customer. If your source audience is too small or contains irrelevant people, the lookalike audience won't be as effective.Test different lookalike percentages
Most platforms allow you to choose the size of your lookalike audience, often expressed as a percentage of a country's population (e.g., 1%, 5%, 10%). A 1% lookalike audience will be the most similar to your source audience but smaller. A 10% lookalike will be larger but less similar. Test different percentages to find the sweet spot that balances reach and relevance for your specific campaign goals.Exclude your source audience
It's usually a good idea to exclude your original source audience from your lookalike campaigns. This prevents you from showing ads to people who are already your customers or who you are targeting through other means. It ensures you're truly reaching new potential customers and avoids ad fatigue for your existing ones.Combine with other targeting layers
While powerful on their own, lookalike audiences can be even more effective when combined with other targeting options. For example, you might create a lookalike audience of your best customers and then layer on an interest in a specific product category or a particular age range. This can further refine your audience and improve campaign performance.In summary, lookalike audiences are an indispensable tool for expanding your reach and finding new customers efficiently. By leveraging the power of your existing customer data, you can create highly targeted campaigns that drive better results. Experiment with different source audiences and lookalike percentages, and always monitor your performance to optimize your strategy.Real-world examples
E-commerce store expands customer base
An online fashion retailer creates a lookalike audience from customers who have made three or more purchases in the last year. They then target this lookalike audience with ads for their new seasonal collection, successfully acquiring new loyal shoppers.
SaaS company boosts trial sign-ups
A project management software company creates a lookalike audience from users who completed their free trial and converted to a paid subscription. They use this audience to promote a new feature, leading to a significant increase in qualified trial sign-ups.
Common mistakes to avoid
- Using a source audience that is too small or not representative of your ideal customer.
- Forgetting to exclude your original source audience, leading to redundant targeting and potential ad fatigue.
- Not testing different lookalike percentages or multiple source audiences to find the most effective combination.