How To Create High-Quality Facebook Ad Audiences That Convert By Using Your Own Internal Data
Key Takeaways
This video training covers how to create high-quality Facebook ad audiences that convert by using internal data, including retargeting, look-alike audiences, and customer data. Tools such as Facebook, Shopify, and Delphi are utilized to create and target effective audiences.
Full Transcript
these purchases that come through there from the retail yeah and you have their own mission yeah information yeah you should always you should have a retargeting on those people a retargeting on them specific or look-alikes know them and look-alikes so I do have a retargeting on look-alike or on on people that have like visited the site interacted with the Facebook I don't have a retargeting on them get a retargeting on them because they're gonna interact they're gonna engage they're gonna drop a comment saying oh I just purchased this yeah and then that's gonna allow you to then use that for even more data because you know they've already purchased so it's going to build up your look like data and audience data then they visit the site and maybe they make some purchases and that's even better because now you're getting even more data yeah I'd be a winner and still Masons that'd be a winner instantly mm-hmm and if it's not then there's something severely wrong yeah I'm trying to figure out what could possibly be wrong looks like you should read to Margit the individuals who are making purchases if you have their contact information literally the moment it should be they should be served an ad okay I didn't saying because like if they purchase once they're likely to purchase twice ya know that's a hundred percent so just basically take a customer list leave the values in there upload it then we like build a retargeting for those audience actually already have the audience here because i learning all this not the most recent what it's not dynamic you have to upload it every time no it's not dynamic you have to upload it every time so that makes sense so okay i we target them and learn another okay then all you do is you can sort the file by people who only bought bathing suits and tubs uh-huh bottoms and tops the file doesn't have that day I mean yeah I can get that data somehow I don't have to figure out how to get that data where is it by tops and bottoms segments in then upload that only and serve them the add variations of the tops and bottoms with a look like mm-hmm and then split the people who did leggings only and the sports bras then upload those into a separate look-alike that way you're piecing out your segments because there are two separate audiences right look put all your extra smalls in one single audience throw up a little icon just get more specific yeah because then it's gonna find people like done on Facebook as well got sure how does this time people like it knows what you're being reader details but I mean whenever you have like yeah it's really weird dude yeah I mean if we brought all these people in a room they would all be the exact same height if you had enough data to do it uh-huh so I mean like it works no all right I mean the I mean check this out right here I mean every like one in 12 people just alone retargeting the people who already purchased everyone in twelve will rebuy I mean that's enough data free loan did you know that means okay spend a hundred dollars and as long as we reach 12 those people one will buy uh-huh I mean these are the things you can just come and check your stores getting a lot of traffic okay might not be the right traffic let's go to analytics because retail works yeah retail works retails in decent location really dude throw up a audience where you target anybody who has been to the location and put them on an anonymous list retarget them make it look like off the anonymous list just building anybody who walks in here even if they purchase or don't purchase you retarget them and put them in a look-alike you'd be bankrolling hundreds of thousands through this thing sorry explain that again do look like with customers that have been to the store or even haven't been to the store and walked in walked out walked in picked up a shirt set it back down walked in tried on a shirt walk down walked in trade oh sure purchased it walk down walked in but any kind of rec walk down yeah but but the people that walk in walk out you don't have their emails the people that I haven't you know that's why it's called an anonymous list you don't need to know him to show him do you need their email to speak to him in person no exactly same thing online so but how do you explain how do you target someone you don't know their email their yeah about to get real fancy in here lose so we'll duplicate oh wait hold on let's just duplicate the one that works because I want now do address of the retail location yes it is I'd say right now want me to put it it just you could paste it alright now what we're gonna do is we're going to add the location that's it oh and there I guess is that it yeah all right now there's a lot of steps we have to take to do this first now we're gonna go to one mile and before we zone off the entire building before we narrow this even further than one mile first off what is this area to call the Wynwood are these all shops yeah it's like restaurant shops yeah so would you does the audience hang out more than just this store well there's actually another area that people hang out it's it's not that area it's it's a little bit further out I'll show you on the map it's very easy to see one here go one more time the other area that people hang out or like right here mmm no okay so you want to say that in a separate audience but yeah okay okay let's see here we're at a hundred thousand people already here that's huge for that one mile one hundred thousand I mean that's massive what are your conversions through the roof uh-huh because they're like up your audience is here they know and there's only a hundred thousand I mean that's a lot next steps are now if we want to narrow the further what we would do is we would go to exclude do you I mean if you know this area like would you say the hundred thousand makes sense yeah I mean it's pretty dense area it's a lot of young people so do you want to exclude it to the store only or no I mean it's definitely a good area and it's good that people know you know if this look this exists be honest okay so leave it is what you're saying yeah yeah all right all right cool yep then you just let's let's just to scroll up and do local legging name and like retail local one mile just say that publish it or yeah but we'll hold on before you publish the next thing you need to do is wait did you name it oh there you then you want to have those ads right because you only have one all right here we go it's the correct data count Shopify customers you should use that to make a look like you should use that to make it look like you should use that to make a look like she'll have already made to look like square you you should use that too for a retargeting I did that Delphi valueless what is this you upload that I made that value list has the how much the customers purchased yeah you just use this as your look-alike audience and it's Auto going to update because if this was created by shop fight it's always gonna be updated updating the list size for you what's there to worry about yeah like like I've just been ignoring it because I'm still getting the results I want and you know here's what facebook says during the learning phase the delivery system is exploring the best way to deliver your ad set so performance is less stable so essentially if you're always in that you're gonna see fluctuations in cost usually worse which is true I mean it is the case yeah yeah the exception could be for retargeting right yeah yeah and so if you put in a significant edit or if you launched a new ad or if you make a change to the ad set or if you launch something into the campaign or anything like that then you're gonna be put into learning now if you have say three performing ad sets that are all proven and they each have 20 right that's 60 total for the campaign but each ad set has 20 and they're all in learning limited and they're all proven just consolidate them into one and then that'll push you out of learning limited because you'll be getting 60 under one ad set and that'll be fifty more than the last seven days yeah gotcha that does make sense that's good idea might do that yeah
Original Description
In this Facebook ad training we cover how to identify additional audiences, strategies and ads to create/target based on your own internal data. So you can make better data-driven decisions and create ads/audiences that convert.
We also cover how to create a local Facebook targeting audience for a retail location so you can use the data and audience to start leveraging larger targeting segments overall.
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