Retargeting Automation For Online Stores

Today we're going to be looking at Facebook Lookalike Audiences. For those contacts that Facebook does find a match for, it then analyzes all of the data points it has of these contacts (location, job, page likes, hobbies, etc.) and cross references this to all other Facebook users within your audience specifications, i.e. geolocation and size.

Furthermore, excavation happens from Facebook advertising, as well as other marketing efforts (e.g. Google advertising), so long as Facebook has data on which users have the app installed. Depending on the complexities of your business, you may want to continue making more elaborate audiences based on combinations of page visits (or lack thereof).

When a product reaches 300 purchases, similarly we then create our Lookalike audience based on the already created Purchase” custom audience. For example, the 10% Lookalike Audience had a significantly lower CTR than other tested audiences. For the best results, split test a regular campaign with your lookalike audience campaign and monitor the results.

Technically, you can create a Lookalike Audience with just a 100 people on the source list, but we've found you get better results with a larger list. Failing to optimize your Facebook ads is like walking up to a dart board, blind-folded, being spun around 5x and then firing away, hoping to land your target.

It's good to also use lookalike audiences even if you're more focused on local marketing, and not looking to target the whole country. Building your custom audience is a great way to increase the detail of your ad targeting and improving the results of your adverts on Facebook.

Rick and I then discuss how to select the location and size options for a lookalike audience. You'll also discover how to use website visitor data, engagements, and lead ads to find new potential customers. Lookalike audiences are one of those audiences that you should at least attempt to hit when scaling up your campaigns.

Firstly what is a look-alike audience, then we're going to look at basically how to create them and also then using Facebook Lookalike Audiences and Exclusion audiences. It is possible to achieve a great Lookalike Audiences list with these methods and we refine these audiences based on the category of the products or sometimes even a single product.

And because that's our objective, we're not going to use our entire email list as our source audience. While the 1% and the 5% Lookalike Audiences had a CTR of 0.82%, the 10% Lookalike Audience delivered a CTR of 0.66%. We believe that the reach tops out because the intent pool is smaller than the total Lookalike Audience.

The key to success with this feature, however, is a very large list in Custom Audiences. We prefer to scale budgets by launching multiple campaigns with as many non-overlapping 1% lookalikes as possible. Make note that it is from your Amazon customers. And if you don't have those digital assets to play with, you can still significantly improve things by narrowing your audiences and using lookalikes.

Now that you know how important it is for your Facebook marketing ad campaign to have a targeted audience we show you exactly how to create. Competitors will be able to see your ads, but you'll be able to see theirs, too, as well as some basic targeting info.

Once you've got a good idea of who these people are, you can remove the audience from Audience Insights and apply each piece of targeting you found in your audience. The fun with interest targeting doesn't stop with ads though, here's some approaches to using interest targeting to create audiences of new people to show ads to.