how to use lookalike audiences and interests on your facebook advertising hernan vazquez


This video, https://www.youtube.com/watch?v=CyA1g6q2OJc, can also be seen at https://www.youtube.com/channel/UC7AdvcFzeOBfWg58K89hhuw.You can actually leverage this by giving Facebook a glimpse of YOUR data and get it running on your favor. 2- Create Your Lookalike Audiences: The way you do this is to gather all the emails and go into the audiences side of your Facebook Ads manager, import them and make a custom audience based on your list.Yu-Gi-Oh! GX – season 2 (dub.dvd) 2015-07-07 yu-gi-Oh! GX – Season 3 (Dub.DVD) 2016-03-08 Yu-Gi-Oh! GX – Welcome to Duel Academy (Dub.DVD 1) 2006-09-12 Yu-Gi-Oh! GX – Tag team trial (dub.dvd 2).In Facebook Ads Manager, open the Audiences tool and click the Create audience button. select the option to create a lookalike audience, and then a box pops up where you select a source, a location, and then the audience size. The source is the custom audience on which you want to base the lookalike audience.Context. When you create a Lookalike Audience, you choose a source audience (a Custom Audience created with your pixel data and your mobile app data or fans of your Page) and we identify the common qualities of the people in it (e.g. demographic information or interests). Then we find people who are similar to (or "look like") them.How to Get High Paying or High Ticket SEO Clients – Hernan Vazquez How to Turn Any Website Into an Authority Website – Hernan Vazquez > Leave a Reply Cancel replyOn this video I’m going to show you how to split test your Facebook ads so you can get more results with a lower cost. Hernan vazquez jul 11, 2018 8 min readFacebook Lookalike audiences are composed of people who share the same basic characteristics of your current customers. You can build lookalike audiences from a multitude of sources, including either a customer list, pixel data, mobile app data, or fans of your Facebook Page.Lookalike is a special algorithm that analyzes your audience and delivers advertisements to users that are similar to yours in terms of their behavior, interests and other characteristics. This algorithm works best if you already have a large indi.