• The $1/day strategy essentially revolves around the idea that you are going to take your best audiences and essentially either combine them, or as I like to call cluster, with your best audiences based upon either previous testing or what you believe is the ideal audience based upon maybe any sort of customer avatar that you may have built.

• For example for this client, we put together a group or a combined group, or a cluster of her lookalike audiences, lookalikes of video viewers, lookalikes of buyers, lookalikes of leads.  Then we also merged those lookalikes with interests that we felt were most the most relevant to what it is that she saw. 

• This client is a business coach and we essentially wanted to put her in front of people who are typically buying from her content. So we put influencers, generic terminology, consultants and we basically put all these together and bundle them with the lookalikes. 

• We're not utilizing this in order to gain leads. We're using this to gain awareness, to gain reach and impressions.

• We combine anywhere between like 10 to 20 lookalikes at one time, and primarily in this case, we're using 1%. If you decide you wanted to do this with two, three, let's just say even 10%, we would combine all the two percents, all the 3%, all the 4% and so on and so forth together. 

• And then what we did is we put that piece of content into the lookalikes, into that audience. And it ran for a dollar a day to that audience. And this is something you can continually run over and over and over and over again. Now you can do it various ways. You could see here that I have it to where each piece of content has its own ad set. It's all the same audiences, but they're, you know, one ad set per post.

• And the other way you can do this is you create one master ad set of these audiences and you put all the posts on the ad level. So for example, this can be the master ad set, where it says all lookalikes 1% plus interest, and you'd put all the posts in here versus having them as one post per ad set. And the reason you would do that is because if you wanted to test multiple audiences, you would essentially have all the different audiences here. 

• So in this example, it could be 12 different audiences and each of the audiences would have all the videos that you are promoting in the ad sets themselves. So let's say you had five pieces of content, you'd have 12 ad sets. So it's 12 different audiences. And each of those ad sets would have five videos. Each those are five content pieces.

• Facebook will determine which of the content based on which of the audiences will get you the cheapest engagement. 

• We were able to create a three second audience based on those who watch at least three seconds, those who watched 10 seconds. And then we also created an audience based on the 25%, 50%, 75& and 95%. And the reason why we did that is because we wanted to create these different clusters of viewers who are typically consuming her content, so that in the future, when we create more content, we would initially show it to everyone. Who's 50% and over who typically watch your content.

• And then we would deploy that content to the rest of the people (less than 50% views), which allows us to create lookalikes of each of these audiences because those that tend to consume the most are some of the most engaged people to be retargeting with conversion campaigns or traffic campaigns or anything else that we want to promote. 

• If we look at the total engagements, now we can create custom audiences based around those who reacted. Those who created the shares, clicks, and any sort of engagement with the page itself or the content. We can create those custom audiences based upon Facebook engagers over the last 30 days, 60 days, 90 days and beyond. And so the reason why we use these engagement audiences, one, we want to stay top of mind with the people that she wants to promote, but at the same time, it allows us to see how reactive are these are these audiences or this specific audience to what we're putting out there.

• And as you can see, all her content was averaging 1 cent per engagement. So we were getting 1 cent per view. And in some cases, if it was an image ad, we were getting 1 cent per engagement, meaning we were getting a like/comment/share or click for a cent. And so we would use this data and we'd create, as you could see here, retargeting campaign, we would retarget people to go book a call and we would run it as an engagement campaign as well. 

• Another thing to consider is the audiences here we've used in retargeting to the opt in itself, it's generated $7 lead to a completely separate opt in. And so we're taking all these viewers we're taking in these people who've come in and watch this content and retargeted them to opt-ins and you may think, Oh, $7 kind of high. Well, it's also generated five additional applications. So for us, our core goal here was to get the content viewers to come in, to consume content, and then eventually take something else, whether it was am opt-in to book a call or jumping on a webinar. 

• If you can incorporate this dollar a day strategy, one, it's really cheap for testing your content, seeing how responsive people are. And then two, it allows you to put yourself in a situation of creating audiences, such as lookalikes, such as custom audiences to where then you're able to scale and build upon further audiences that allow you to build this type of situation of generating leads and hopefully additional businesses, whether it's through purchases or applications, and you can build your programs from there.

David (00:01):

Hey, everyone putting this video together for you breaking down. What I like to call the dollar a day, strategy dollar a day. Strategy works incredibly well. It's actually very effective. If you're looking to simply put out content frequently and have it just go through a rotation, I'm gonna show you a campaign that we ran for quite some time for a client and how we utilize those audiences in order to further gain interest around her coaching program, her content build up quite a few people on her calendar to the point where we had actually had to actually turn off the campaign. So let's break this down really quick. So the dollar day strategy essentially revolves around the idea that you are going to take your best audiences and essentially either combine them, or as I like to call cluster your, your best audiences based upon either previous testing or what you believe is the ideal audience based upon, uh, you know, maybe any sort of customer avatar that you may have built.

David (01:01):

So in this example for this client, we put together a group or a combined group, or a cluster of her lookalike audiences, lookalikes of video viewers, lookalikes of buyers, lookalikes of leads. And then we also merged those lookalikes with interests that we felt were most the most relevant to what it is that she saw. And so she's a business coach and we essentially wanted to put her in front of people who are typically buying from her content. So we put influencers, generic terminology, uh, you know, she helps a lot of consultants and we basically put all these together and bundle them with the lookalikes. And even though the data may not be seen as much, cause you're only reaching $68, you know, let's just say 195 people per day. We're not utilizing this in order to gain leads. We're using this to gain awareness, to gain, reach and impressions.

David (01:54):

And so the thing to keep in mind here, uh, you know, we combine anywhere between like 10 to 20 lookalikes at one time. Uh, primarily in this case, we're using 1%. If you decide you wanted to do this with two, three, let's just say even 10%, we would combine all the two percents, all the 3%, all the 4% and so on and so forth together. And then what we did is we put that piece of content into the lookalikes, into that audience. And it ran for a dollar a day to that audience. And this is something you can continually run over and over and over and over again. Now you can do it various ways. You could see here that I have it to where each piece of content has its own ad set. It's all the same audiences, but they're, you know, one ad set per post.

David (02:43):

And the other way you can do this is you create one master ad set of these audiences and you put all the posts on the ad level. So for example, this can be the master ad set, where it says all lookalikes 1% plus interest, and you'd put all the posts in here versus having them as one post per ad set. And the reason you would do that is because if you wanted to test multiple audiences, you would essentially have all the different audiences here. So in this example, it could be 12 different audiences and each of the audiences would have all the videos that you are promoting in the ad sets themselves. So let's say you had five pieces of content, you'd have 12 ad sets. So it's 12 different audiences. And each of those ad sets would have five videos. Each those are five content pieces.

David (03:30):

And so you'd have essentially 60 ads running along with 12 audiences. Now here's the great thing. If you have an ad set, set up an ad budget optimized, uh, set up, you would be running a dollar a day per audience. If you doing a CBO setup as a campaign budget optimized setup, you could set up a campaign for, let's say, if you have 10 audiences, you would set the CBO to $10 a day. You would put all 10 audiences into the campaign. Once again, you'd put all the posts into each of the ad sets and Facebook will automatically optimize based on that budget of $10 a day. So a dollar per ad set or per audience, and it would let it run. And Facebook will determine which of the content based on which of the audiences will get you the cheapest engagement. Now you're probably thinking, well, David, what's the whole point of having cheap engagement?

David (04:28):

Well, each of these engagements and each of the views that came in and even the clicks for that matter for some of these, they had clicks, but most of the content pieces were primarily used for engagement in video view building the key, the thing to keep in mind is we were able to create lookalike audiences and custom audiences based upon these elements. So we were able to create a three second audience based on those who watch at least three seconds, those who watched 10 seconds. And then we also created an audience based on the 25%, 50%, 75 and 95%. And the reason why we did that is because we wanted to create these different clusters of viewers who are typically consuming her content. So that in the future, when we create more content, we would initially show it to everyone. Who's 50% and over who typically watch your content.

David (05:18):

And then we would deploy that content to the rest of the people three seconds, 25 seconds. So on and so forth. That also allows us to create lookalikes of each of these audiences, because the, those that tend to consume the most are some of the most engaged people to be retargeting with conversion campaigns or traffic campaigns or anything else that we want to promote. Now, here's the other cool part, right? This is not only the views. If we look at the total engagements, now we can create custom audiences based around those who reacted. Those who created the shares, clicks any sort of engagement with the page itself or the content. We can create those custom audiences based upon Facebook engagers over the last 30 days, 60 days, 90 days and beyond. And so the reason why we use these engagement audiences, one, we want to stay top of mind with the people that she wants to promote, but at the same time, it allows us to see how reactive are these are these audiences or this specific audience to what we're putting out there.

David (06:17):

And as you can see, all her content was averaging 1 cent per engagement. So we were getting 1 cent per view. And in some cases, if it was a image ad, we were getting 1 cent per engagement, meaning we were getting a like comment share or click for a cent. And so we would use this data and we'd create, as you could see here, retargeting campaign, we would retarget people to go book a call and we would run it as an engagement campaign as well. Funny enough, even though it may not show anything in a sense of like, but David, it didn't book any calls. We actually have proof that it did on the backend because we have 129 registrations. These are people who initially filled out the first level of optin before they were able to apply. And I can tell you for a fact that this specific campaign, which is only retargeting people from the engagement campaigns has at least generated 20 applications.

David (07:10):

Another thing to consider is the audiences here we've used in retargeting to the opt in itself, it's generated $7 lead to a completely separate opt in. And so we're taking all these viewers we're taking in these people who've come in and watch this content and retargeted them to opt-ins and you may think, Oh, $7 kind of high. Well, it's also generated five additional applications. So for us, our core, our core goal here was to get the content viewers to come in, to consume content, and then eventually take something else, whether it was a opt-in book, a call jumping a webinar. In this case, it was consuming optin and then to jump on a call. And so if you can incorporate this dollar a day strategy, one, it's really cheap for testing your content, seeing how responsive people are. And then two, it allows you to put yourself in a situation of creating audiences, such as lookalikes, such as custom audiences to where then you're able to scale and build upon further audiences that allow you to build this type of situation of generating leads and hopefully additional businesses, whether it's through purchases or applications, and you can build your programs from there.

David (08:22):

And that is how we utilize the dollar a day strategy using page post engagement campaigns.