A great way to reduce your advertising cost on Facebook is to create a Custom Audience. To do so you would most likely start targeting ads to people who’ve already visited your site. That’s great if you want to act based on data only Facebook collects. But what about other sets of data, such as information extracted by a CRM like Hubspot, or a cloud warehouse like Snowflake, and most importantly, the outcomes from Machine Learning models built from those data sources? Datagran does just that.
As part of our Pipeline tool, today we introduced Facebook as a Destination. With this brand new element, you can now export custom audiences from models ran inside Datagran directly to Facebook ads, to reduce CAC, increase revenue, and more.
“The whole idea of custom audiences is to target your audiences better. The result is to save money and to be more efficient in your ad spend. For example, when we use a custom audience on Facebook, our cost goes down by 72%”. Carlos Mendez, Datagran’s Co-Founder & CEO.
To start creating custom audiences:
Before this action is run, make sure your pipeline is providing as many identifiers as possible. These are used to match users, and the more specific, the better the match. Some examples of identifiers are: Name, email, gender. Run your Pipeline and save it.
