With Automated Post Boosting, you can automatically create ads as you publish new posts to your Facebook page. Automated Post Boosting is a part of the Automated Ads campaign type.
Posts are promoted based on post feeds, which you can automatically create and update based on one or more pages. The feed includes the 100 most recent posts per page that are eligible for promotion. The feed can then be used for boosting the content (just like you would use a regular Automated Ads feed to e.g. promote products). See how to create a post feed here.
You control which posts you boost by using filters. For example, you can select only posts that have more than 100 interactions (likes, comments, etc.) or that are less than 24 hours old. For instructions on how to set up filtering, see Filtering boostable posts.
Different campaign structures determine how the campaign budget is set up and how long the posts are boosted. See Automated Post Boosting campaign structures for details.
What to consider when doing Automated Post Boosting?
The starting point is your organic activity on your business’ Facebook page. The content you post on the page determines what you can work with. For example, are you already using some of the posts there as ads created based on existing Facebook post?
A common practice is to use a keyword for filtering the posts per campaign. For instance, if you are budgeting per product line (such as "women's shoes"), filtering the posts by applicable keywords lets you advertise posts matching that product line and automates some of the budgeting. It also allows targeting the posts to a relevant audience.
An easy way to filter in practice is to include a hashtag on the posts that you would be comfortable promoting, and then filter using that hashtag. This gives you a simple method to determine whether the post should be boosted when posting organic content on your page.
Another best practice is to determine a level of social proof that filters the boosted page posts (to further amplify the audience exposure to these posts). It's common to check that the posts have enough comments or likes, and perhaps also a high clickthrough rate. To determine the best filters, it's a good practice to analyze existing posts to get a starting point, and later adjust the filters through trial and error, based on the actual campaign performance.
To get started in Automated Post Boosting, see Creating Automated Post Boosting campaigns.
For answers to common questions about Automated Post Boosting, see the Automated Post Boosting FAQ. If you’re having problems with your campaign and don’t find an answer there, reach out to our support chat!