Duplicating Your Ad Groups to Try Different Targeting Settings
Howdy chapel fans and welcome back in this lecture. We're gonna jump back into facebook ads manager and I'm gonna quickly show you how I would duplicate some ad sets. So I could test out some different audiences. So let's go back into facebook ads manager and here we are at the ad set level for this one campaign that we have running or this one campaign that we just created if you remember I added alcoholic beverages as an interest into this audience. So I'm gonna go ahead and edit this audience and I'm going to label it as such interest in alcoholic babes. Okay. That will just help me remember what exactly what I'm testing over here. So I want to duplicate this and do the same thing for females. Okay, I want to see how females perform in this audience. So I'm gonna just have this ad set selected and just simply click duplicate and I'm gonna have a couple different options. I could choose to have my ads showing instagram stories. If I want to do that, why not? We can see how it perform...
s. And I'm gonna duplicate it. And I'm gonna keep this default selection selected to duplicate this in the original campaign in the campaign that we're in right now. And I can also choose to copy a specific number of assets and I can also choose to copy this a specific number of times. For now. I'm just gonna copy it once because I only want to change one setting, duplicate that ad set and now it's called copy. I'm going to edit that name and label this women and it's also gonna be 35 plus. So I'm going to scroll down and the audiences and just switch this toggle to women. Everything else stays the same and published. Okay. And that's how it, that's how easy it is to edit an ad set. Now I'm able to give a separate budget. I could give a separate bid cap. I can do different things. Now. I can sort of push different, push and pull different level levers based on my demographic segments, which is exactly what I want to do. So I'm gonna close out this window and I go back to This one campaign that I'm interested in looking at and I should see to add sets. Okay. I have women, 35 plus us interest in alcoholic beverages. And now I think I want to duplicate these assets and try a different interest setting. And I also want to segment out by men and women. So I'm going to select both, Duplicate them. In the original campaign, one copy of each and click duplicate. I don't exactly know what my new audience segment is going to be, but I'm going to scroll down and we're gonna see how this could work. What's cool about doing it this way is I can now edit the audience for both of these assets at once. If you see that I can't easily change men and women because that's a mixed state because I have, that's what's, that's what's different between the two ad sets. But everything else I can change. So I'm gonna leave it 35-65. I'm gonna remove alcoholic beverages from the targeting. And I'm gonna ask Facebook for some suggestions. I'm gonna ask facebook to help me browse some different suggestions. So I see demographics, interest behaviors. The previous one was an interest in alcoholic beverage. And we could check demographics for, let's say education. What we found in our business. And this is something, which is true. This is actual data. This is not just conjecture. It's important. There's way too many permutations. There's way too many potential facebook options to start making your best guess is we know from research that 85-90% of reset ivy customers have at least a college degree. It's many businessmen and businesswomen, higher income bracket. Bachelorette and bachelor parties. That's who their customers are. So I want to go into education and look at undergrad years. Mm hmm. No, I don't like this Schools. I don't want to have to pick specific schools. Mm hmm. There used to be, Oh, education level up here. Okay. And by the way, facebook is changing this stuff all the time. It would not surprise me if we're gonna select a couple of these and we might get a warning that some of these are getting sunset ID. Um, so we're gonna do a college grad and you know what I'm gonna do. I'm gonna do master's degree and take off college grad and we're gonna keep it a little bit more narrow because a college grad doesn't really segment us out as much as we'd like to, So 51 million, maybe. Okay, 50, I think a master's degree would be a good idea to target in these two ad sets. So let's say, I'm gonna remove this one and we'll do this one, will have a master's degree. I'm gonna publish, okay, I'm gonna change the names shortly. I could have changed the name before I published, I can still change the name appear, but it's not a big deal to do it once we've published and close out this window as well. We just need to edit the name. Here we are. Edit, I can just hover over the pencil icon contains the name and we're gonna call this master's degree published, edit and call this master's degree as well. And if I was doing this again, I'd probably duplicate this another two times and instead of masters degree, have it run as let's say, a doctor degree because we do get a lot of doctors, um, and maybe do want an income bracket and things like that. But I also like for this business at least segmenting out by men and women. So now I have a bunch of different assets that are active in this campaign, I have different assets. If you go into any of these assets, you'll see that one ad, we'll double check to make sure that Jason code is still there and it's still proper, yep, it's all there, there we go. We have a great ad, we have some great copy and again, we could, depending on the budget, we can go further and in each one of these four ad groups, we could have, let's say three different ads or four different ads, 12 or 16 different ads and those 23 different ads inside the campaigns of the 34 ads could be running different copy, they could be running different images. The sky's the limit, the main thing to be concerned about when it gets down to a B testing and a B testing could really be, it's, it's a whole separate course is just make sure you're not spreading your budget too thin because the whole point of a B testing is getting actually statistically relevant and valid data about which variation is a better performer. You can't get that data if you're spreading the budget too thin between too many variables. So if you're spending, you know, 100 bucks a day run to add sets with two different ads in each ad set. Okay, that's plenty of a B testing, you have going for you with $100 a day right now, we have four ad sets with all the same ad, I think that's also good. Maybe I would add one additional and maybe test the image or test the headline copy or something like that. But this is definitely a good place to launch. It will definitely be getting some excellent data by doing it this way. Most importantly, getting that click and then getting the people into this extraordinarily exciting funnel through mobile monkeys chat box that we built. So that's really building the facebook campaign. So we're essentially ready to turn this campaign on and watch our click through rates skyrocket, our conversion rates, skyrocket, watch the amount of leads that we get for the lowest cps we've ever seen. I know that's gonna happen because we've been running these campaigns for a lot of our clients. Um and it's really awesome stuff. So that's building a facebook campaign in the next lecture, we're gonna go and tie up some loose ends with Q and A. And some other settings for our bot for this client. And I look forward to seeing you guys there in a couple of seconds