How To Use Facebook Lookalike Audiences With Custom Audiences
Facebook errors in lookalike campaigns. 2. If you have robust sources for lookalikes (remarking site traffic, email lists, HubSpot or Salesforce data sources, previous ad activity or video views, etc.) and they contain at least the recommended 1000 unique users, there's absolutely no reason to avoid using those resources to develop audiences beyond what manual, human targeting can do. Sorry humans.
If you're not sure how to set that up, under Source click the Create new button then choose Custom Audience > Customer File > Add customers from your own file, then proceed to either upload your CSV file or just copy and paste your email addresses directly into the box.
For a country like the U.S. with a population hovering around 326 million, selecting the 10% option would make for a very large, non-targeted audience. Audience overlap is an error that occurs when sponsoring content to two or more target audiences. The resulting lookalike will be similar only to your best-performing customers, therefore those individuals comprising it should, in theory, be more likely to convert and perform desirable actions.
Finally, remember that having your Facebook pixel properly installed on your site is crucial for ad campaigns no matter what audience you're going to target. This option is powerful because you're asking Facebook to find people like customers who have an actual monetary value to your business.
As you can imagine, Facebook lookalike audiences are a powerful tool when utilised to drive additional revenue; especially during key trading periods such as Christmas (and beyond). And if that wasn't enough, recent Bain & Company research shows that repeat customers are cheaper to acquire and are likely to spend more on their second, third and ongoing visits.
For ease of testing, you can create one campaign and split test the audiences against each other. When you advertise against yourself, the cost to reach your audiences increases and the frequency that your ads are displayed is limited. You can use these seed set of audiences to create a profile of your ideal users who will buy from you.
The remaining steps will help create your Lookalike audience, and you'll be prompted through the edit data mapping, upload and creation, and create a lookalike stages. It comes down to how complex lookalike audiences are. A Facebook Custom Audience identifies people who are already within your reach, in this case those who are already on your mailing list.
This highly-targeted audience will also be constantly evolving as the list will refresh every week with new potential customers who match with the existing list. Big brands and medium-sized businesses with a nationwide customer base are probably going to want to set the size at 10% for the widest Reach and then dial down the audience size based on performance until the optimal balance has been found.
Less data flowing in and out of Facebook means, at least in theory, a more secure experience for users. With over 2 billion in active users, Facebook gives you the chance to put your product in front of a large number of people who might not otherwise find it. It also gives you a chance to re-target to your Amazon customers.
New” people who look similar to your customers are more likely to convert. When you create a lookalike audience of a custom audience, Facebook finds users who have similar attributes to the people who are in that base custom audience. Once you've created your seed audience, input it in the source” field of your new Lookalike audience.
You upload your current list of customers to Facebook and it generates a lookalike audience of 1% of its users. As you upload your lists, create different custom audiences to designate which are customers (and of what products), as well as which are subscribers.