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Are you struggling to scale your Google Ads campaigns without losing profitability? In this episode, we compare Standard Shopping and Performance Max campaigns, two of Google Ads’ most popular scaling strategies.
After moving $40,000 between the two strategies, John Moran breaks down the performance data, including customer acquisition, return on ad spend (ROAS), and conversion rates. The results show that while PMax often promises more efficient scaling, Standard Shopping consistently delivers similar, if not better, results in certain scenarios.
Whether you’re an agency or a solo marketer, understanding the strengths and weaknesses of each approach can lead to smarter, more profitable ad strategies. Join the conversation now and start scaling your Google Ads the right way!
In this episode:
00:00 Introduction to the ad flow funnel
02:43 Standard Shopping vs. Performance Max for scaling
07:07 Testing $40K swings between campaigns
13:05 Differences in results between PMax and standard shopping
16:51 Why Performance Max fails at scale
29:56 Final verdict: Standard Shopping wins at scaling
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READ THE TRANSCRIPT:
PMAX vs. Standard Shopping: The $80K Test That Shocked Us
00:00:00:00 – 00:00:03:07
John
what’s better standard shopping and performance max for scaling your customer acquisition.
00:00:03:07 – 00:00:04:13
John
Still standard shopping.
00:00:04:21 – 00:00:06:08
Ralph
today we’re going to be breaking down
00:00:06:08 – 00:00:09:06
Ralph
what we refer to as the ad flow funnel. And that is
00:00:09:06 – 00:00:10:01
Ralph
the system
00:00:10:01 – 00:00:14:23
Ralph
we use to scale spend from $37,000 a month to $100,000 a month.
00:00:14:23 – 00:00:17:02
Ralph
Well, actually lowering Ncac,
00:00:17:02 – 00:00:21:16
John
I have actually a perfect swing of $40,000 going one way or the other.
00:00:21:16 – 00:00:22:17
John
number one
00:00:24:14 – 00:00:46:01
Ralph
Hello and welcome to the Professional Traffic podcast. This is your host, Ralph Burns, founder and CEO of tier 11. And today’s show is one of the past episodes of the tier 11 AD lab, where we tackled the scaling trap. Yes. There is a thing called the scaling trap. And John actually solve this.
00:00:46:01 – 00:00:48:15
Ralph
Most advertisers hit a wall when they try and scale.
00:00:48:19 – 00:01:20:12
Ralph
And this is the problem for tons of advertisers, because what happens is you spend more money on the platform, but you notice that in your Shopify store, in your CRM, nothing is really moving as far as increasing sales. So an example I believe he actually gives in today’s episode is that you might see ten conversions in meta, you might see ten conversions in Google, and then you check your Shopify store and you may see ten conversions.
00:01:20:12 – 00:01:28:13
Ralph
So you’re not getting 20, you’re actually getting ten. They’re all claiming credit for it. So this is one of the things that really is a problem when you start to scale up. So
00:01:28:13 – 00:01:43:09
Ralph
what if I told you if you had a framework that would allow you to triple your ad spend without killing your profitability and not just recycling the same people over and over again by you actually going out and finding new customers?
00:01:43:09 – 00:01:44:19
Ralph
Well, John did this
00:01:44:19 – 00:02:04:22
Ralph
and today we’re going to be breaking down what we refer to as the ad flow funnel. And that is the system that we use to scale spend from $37,000 a month to $100,000 a month. Well, actually lowering Ncac, that seems like a crazy, wacky thing to say, because usually
00:02:04:22 – 00:02:11:20
Ralph
the law of inverse profitability says that when you start to scale, you actually increase your Ncac.
00:02:11:20 – 00:02:33:21
Ralph
Well, if you do this right and you use Capi imports plus edge tag, we obviously use tier 11 data suite for this particular project here we were able to do just that. So this $80,000 test that we did, it also proved that Google Performance Max campaigns aren’t the silver bullet that everyone says they are. And we actually compare them to standard shopping.
00:02:33:21 – 00:02:36:16
Ralph
So we’re getting a little meta, getting a little Google here,
00:02:36:16 – 00:02:44:06
Ralph
And you’ll see exactly what those strategies are on today’s show. So without further ado, take it away, John, and yours truly.
00:02:44:06 – 00:02:48:10
Ralph
John, I know you’ve been cooking up a lot of stuff. Yeah, well.
00:02:48:12 – 00:03:18:14
John
I, I am trying to settle the age old question of what’s better standard shopping or performance, Max. So I’ve tested the absolute crap out of them. And I have a very high spend test, and I’ve come to find out that I feed only p max and a standard shopping are almost 1 to 1 identical in terms of performance, which is kind of revolutionary.
00:03:18:14 – 00:03:20:23
John
I’ve isolated the data
00:03:20:23 – 00:03:42:08
John
to be as 1 to 1 as possible while being able to, in a very short time period, test swinging $40,000 in the p max and $40,000 in the standard shopping. I’m sorry, actually, take 40 grand from standard shopping, push it into p max and then take the same 40 grand out of p max and push it back into standard shopping.
00:03:42:10 – 00:04:10:15
John
And I have a comparison of both and I’m looking at new and returning. I’m brand new customers. Got the idea. So what I mean by this is when you’re tracking the same data from a top line perspective of if I was to put 50 grand into p max feed only non brand new customers only, or if I put 50 grand into standard shopping, non brand new customers only, which is also a basically a feat only which one is better.
00:04:10:17 – 00:04:24:11
John
And typically performance max looks way better because you do have warmer traffic. Existing customers that start to convert, that’s piled on top. But what about for new customer acquisition? There is a time period that may be coming very soon with the chatter on on Google,
00:04:24:11 – 00:04:26:18
John
that instead of shopping could go away.
00:04:26:18 – 00:04:30:08
John
that’s, you know, kind of the, the chatter like they were like, oh X is going to go away.
00:04:30:08 – 00:04:35:08
John
And then it did like okay, like some of that is is going to be real. And Ralph’s just completely gone. Don’t worry about.
00:04:35:08 – 00:04:36:18
Speaker 3
It.
00:04:36:18 – 00:05:06:12
John
what we’re looking at is if we were to push as one into one versus the other, what would come out on top? And because we’re looking at situational, differences, I have two use cases that I’d like to share with fairly large testing that when you start to strip out the brand of data, when you start to strip out the returned user data, when you start to strip out the return customer data, when you start to strip out basically anything that that campaign did not provide, and you have clean data versus clean data, what does it look like?
00:05:06:14 – 00:05:12:13
John
And it’s actually fairly interesting. I’m going to share screen here. Hopefully this pops up for everyone.
00:05:12:13 – 00:05:13:11
John
Hey. Ralph’s back.
00:05:13:17 – 00:05:14:16
Ralph
I’m here.
00:05:14:18 – 00:05:20:03
John
You look like you’re film from a potato. That’s.
00:05:20:03 – 00:05:24:03
Ralph
Turned off the iPad. I sent you a picture of me doing the App Lab for my job.
00:05:24:04 – 00:05:34:14
Speaker 3
Yeah, I gotta see this. Yeah. Oh, man. Front a front porch. It looks like she looks pretty good. Let’s a outside.
00:05:34:17 – 00:05:35:18
John
I actually like that background.
00:05:35:19 – 00:05:39:20
Speaker 3
It looks great. So that’s a nice front porch. Shall we? Right.
00:05:40:01 – 00:05:42:23
Ralph
Orange cushions, which was my wife’s latest addition.
00:05:42:23 – 00:05:43:17
Speaker 3
But anyway,
00:05:43:17 – 00:05:43:23
Speaker 3
so I.
00:05:43:23 – 00:05:48:14
Ralph
Heard about 25% of what you’re opening, so. Okay, let’s go.
00:05:48:15 – 00:05:51:17
Speaker 3
Let’s just let’s go it at this point. I’m in a.
00:05:51:17 – 00:06:05:16
John
Recap of for you week over week, measuring both the same thing, which is both p max and Standard shopping are both non brand both new customers only. I mean basically everything’s identical. P max is a feat only standard shopping is is obviously the shopping feed. So
00:06:05:16 – 00:06:11:11
John
yes Max can do prospecting. With those fees they can do remarketing with those feeds.
00:06:11:11 – 00:06:41:23
John
And I want to know how much does that actually work and how much of it actually is more just like direct response versus, oh, it’s smart AI bidding that has advancements in, pardon my French, but all the bullshit that Google feeds us that I’ve never actually seen in actual testing. And this is another one of those tests. But the first time that we’re measuring edge, tagged people and also optimizing off of both not brand new customers only and I have a while we were on one and then we did the other one.
00:06:41:23 – 00:06:43:21
John
And now I’ve swapped it back over to the other one. So
00:06:43:21 – 00:06:48:11
John
I have actually a perfect swing of $40,000 going one way or the other.
00:06:48:11 – 00:06:54:21
John
it’s a 4% different change week over week. So it’s it’s actually a really, really, really, really perfect test for this because
00:06:54:21 – 00:07:01:06
John
we’re going to break it down Dana style, which is how we usually do it here and can analyze the similarities and differences.
00:07:01:06 – 00:07:02:17
John
So I’m gonna go ahead and share screen
00:07:02:17 – 00:07:04:04
John
and
00:07:04:04 – 00:07:05:20
John
we’ll kind of go through this.
00:07:05:22 – 00:07:07:04
Ralph
And I can now do this.
00:07:07:04 – 00:07:08:03
John
Yeah.
00:07:08:03 – 00:07:28:11
John
So for those listening at home without with I should say with the Ralph Wi-Fi connection. So it’s probably on the radio. The for the audio listeners out there, what we’re looking at here is an ads account that has a name brand standard shopping and a non brand, performance Max campaign. And these two are running at the same time.
00:07:28:11 – 00:07:51:01
John
But what you’ll see is that they’re very, they’re very short time periods. April 10th of a 14 versus August 2nd through the seventh. So we’re looking at week over week, same days here. What is the change if we pull 36 K out of feed only and put 42 K into these that are shopping. So it’s not an exact, perfect storm because the p max was under spending a bit.
00:07:51:01 – 00:08:10:05
John
But out of 74 $75,000 per week, we’re only at a 4% spend difference from the top line. That’s what my my goal is, is to try to be within a couple grand week over week, but we’re still spending like 70 5KA week. This is a very large spend account, and we have a lot of good data that we can identify very quickly because of it.
00:08:10:09 – 00:08:22:16
John
So we’re crowdsourcing this data. So from this last few days we took 70 or we took $40,000 out of feed only p max and we pushed it into non brand shopping. Now
00:08:22:16 – 00:08:32:01
John
just for clarification these are as close as I can get. These type these campaign types are both essentially shopping campaigns. The only difference is performance.
00:08:32:01 – 00:08:32:15
John
Max
00:08:32:15 – 00:08:44:06
John
can reengage and retarget existing customers and they can remarket omnichannel traffic. But it will not be reflective in the data unless it actually
00:08:44:06 – 00:08:46:13
John
came first. Click from that campaign.
00:08:46:13 – 00:08:51:11
John
I make very general statements and few of the general statements I make. Our
00:08:51:11 – 00:08:52:12
John
number one
00:08:52:12 – 00:08:58:22
John
p max goes warm, gets more existing customers. That was my my statement number two.
00:08:59:00 – 00:09:20:01
John
That is also the reason why you typically see higher Roas. Number three, the prospecting elements of performance max are junk. My opinion they do not take a display ad. Go find Ralph for the first time, warm them up and get them to search, or get him to click and get them to buy. That’s what that’s a lot of typically is seen as a positive attribute, performance max.
00:09:20:01 – 00:09:38:09
John
And so I’m testing that as well. So all of the stuff that we get with performance Max, I overviews the AI matching the smart targeting, the, prospecting capabilities, even when you’re running a feed, only you’re still running players on shopping. GSP, YouTube display discover
00:09:38:09 – 00:09:48:12
John
your items, you’re still running those those of five more channels. Like all of the benefits that we get for performance Max when actually measuring an incremental lift in new customer acquisition, is it better?
00:09:48:14 – 00:10:08:00
John
And so this was kind of my test to see head to head standard shopping and feed only what what’s working and what’s not. And the results are kind of not even surprising. So as an example, when we look at the differences here, this is standard shopping increasing the ad spend
00:10:08:00 – 00:10:19:07
John
so this is pulling out or putting 42,000 into brand number and standard shopping and pulling 40 K out. But here’s the top line. This is what I thought was very interesting is because top line matters the most.
00:10:19:07 – 00:10:44:23
John
If we’re spending in campaign A and not campaign B, and then we’re spending in campaign B and not campaign A, you should see top line differences. If the spend is the same, something that is better is going to do positively better in the account. So the spend is the same. We only have 4% difference week over week. The conversions we’re looking at new customers only is a difference of 1.3%.
00:10:44:23 – 00:10:45:20
John
So they are
00:10:45:20 – 00:10:50:09
John
the same spend different channels delivered a
00:10:50:09 – 00:10:51:20
John
positive or negative
00:10:51:20 – 00:11:02:20
John
contribution to the top line of 1.3%, which falls well below 10% natural ebb and flow of any account. So basically anything under 10% is kind of like no change will.
00:11:02:20 – 00:11:10:18
John
We took 95% of our ad spend performance max, and we shoved 185% into non brand standard shopping.
00:11:10:20 – 00:11:13:22
John
And our results are 1% difference.
00:11:13:22 – 00:11:14:13
John
The
00:11:14:13 – 00:11:26:10
John
that was like 4% difference. I was looking at the all conversions. But we’re looking at the same basically the same thing from a from an attribution standpoint. So we have a actually 4.4% less. And so
00:11:26:10 – 00:11:27:21
John
literally splitting hairs.
00:11:27:21 – 00:11:35:17
John
The conversions by conversion time measurement measuring cash is the difference between 724 and 6 92 or 4.42%.
00:11:35:17 – 00:11:40:04
John
Again 32 conversion differences out of 700 is not
00:11:40:04 – 00:11:42:18
John
it’s not a change. It is simply just.
00:11:42:18 – 00:11:45:09
Ralph
Not statistically significant. Right?
00:11:45:11 – 00:11:47:01
John
It’s not measurably better.
00:11:47:01 – 00:11:48:01
Ralph
basically the same.
00:11:48:01 – 00:11:52:23
John
It’s basically the same. Now we look at conversion value again 6% difference.
00:11:52:23 – 00:12:10:15
John
I have some days that show number and standard shopping better. Some days that are showing feet only better. But then again when you measure them week over week, they’re about the same. CPC did go up slightly. Yes, it did go up 14%. So that is an element that we have to look at is the account will go up 14%.
00:12:10:17 – 00:12:14:20
John
Why? Because the feed only is going to have,
00:12:14:20 – 00:12:39:08
John
inexpensive display clicks. Now it’s 232 versus 317. That’s almost a dollar difference if you’re looking at like for rounding it, you know, three 2230 so it’s about $0.90 difference. That’s a that’s a big change. That’s 50% more expensive in CPC. But it is not delivering any measurable results. Why p max has display remarketing with the feed.
00:12:39:12 – 00:12:47:22
John
And that’s the place. Those are 50 and 75 cent clicks. Have they made a difference in terms of conversion? No. So is the CPC reduction in shopping
00:12:47:22 – 00:12:51:14
John
worth it from a results perspective? Does not appear so at least not yet.
00:12:51:14 – 00:12:54:12
Ralph
I’m close to asking you the bottom line and all this.
00:12:54:12 – 00:12:56:12
Speaker 3
Because it’s basically, it’s,
00:12:56:14 – 00:13:04:15
Ralph
It’s from my standpoint, it seems like you’re reaffirming what you’ve always talked about, but you’re just retesting it again. Oh, there’s a little hidden hidden door.
00:13:04:20 – 00:13:23:03
John
Okay. So it’s a little bit low. It. Yep. So this was the first one we did is like taking it out of standard shopping and put it into p max. And then like what happened be like, hey, it looks to be about the same, but p max. Stop scaling. So we push it back in. The standard shopping and center shopping has actually spent a lot more than Max did, but so far would have met the same spending threshold levels.
00:13:23:03 – 00:13:39:00
John
It’s getting the same result, but I’ll go through two differences that we saw that people usually confuse with better performance, and that’s what we’re going to be getting down to. So is it actually better? No, not that I can see. And I’m going to I’m testing this in in a few different accounts. So
00:13:39:00 – 00:13:41:00
John
John, should I use a p max or standard shopping.
00:13:41:00 – 00:14:04:01
John
It’s something that we hear a lot. We get a lot of Q&A over that. And that’s, that’s why I’m demystifying everything here. So it’s like it’s actually about the same if you’re measuring everything correctly. So long story short, yes. Clicks change, you know, conversion value by cost is the same. The CPAs 9% difference. I mean, the conversion rate is is again 2.0 to 1.9.
00:14:04:03 – 00:14:19:15
John
Again, it’s 0.08% difference. There is no difference really even in conversion rate. Yeah. Right. So let’s look at the actual detail of what we’re seeing inside of inside of here as well during this test. So this is where I think is actually kind of interesting.
00:14:19:16 – 00:14:22:16
Ralph
And we’re selling supplements here just for. Yeah everyone. Yeah.
00:14:22:16 – 00:14:25:09
John
Anyway. Exactly. We’re doing it’s doing supplements.
00:14:25:11 – 00:14:25:23
Ralph
Yep.
00:14:26:01 – 00:14:28:09
John
So what we’re looking at the,
00:14:28:09 – 00:14:41:21
John
conversions we had in feed only p max, 212 new customers, 90 returning. And inside of Standard Shopping we have 120 and new customers 45 returning.
00:14:42:00 – 00:14:46:02
Ralph
So it always like an like why is it always a percentage in Google.
00:14:46:04 – 00:14:47:11
Speaker 3
Well it’s.
00:14:47:11 – 00:14:50:18
Ralph
121 .36. Wow I’ve never.
00:14:50:18 – 00:14:56:20
John
Know I know I know the percentages are like fractional percentages. I know it’s so funny. I guess they’re like trying to be extremely specific.
00:14:56:22 – 00:15:02:08
Ralph
Right. It’s 0.36 of a person actually bought there apparently. But yeah. Anyway.
00:15:03:00 – 00:15:03:18
John
Exactly right.
00:15:03:18 – 00:15:06:07
Ralph
It’s definitely not a wall high fat person, that’s for sure.
00:15:06:12 – 00:15:27:11
John
Not a whole fat person. Yeah, not for me. Yeah, exactly. And we have a different, a couple different points to the boat. We’ll kind of go through this. Yeah. So we have, we have basically one third of the total return. New customers are returning about, you know, 40 to 120. And we’re looking at one third of the ratio when we’re looking at feed only it’s about 90 to 212.
00:15:27:11 – 00:15:36:16
John
Some more more closer to like 4,045%. So there’s definitely more more returning customers in feed only than there is standard shopping. So that is something
00:15:36:16 – 00:15:48:08
John
that you have to take into consideration. It is going to do more new customers on non brand, but those display is going to be returning customers. So that display returning customers is going out upgrading, finding them.
00:15:48:08 – 00:16:04:20
John
I know this seems like for you and I repetitive, but I’ve been saying the same stuff for two years. We still get the kind of the same questions and the same even, you know, internally from the teams. Like we get a lot of the same questions. What’s better, feedback center shopping, that kind of stuff. Right. So it does seem that we are looking to see more returning customers for ratio instead of feed only.
00:16:04:20 – 00:16:35:01
John
So p max yes is going to have better Roas. Is it real? No. Are you selling something to the client that maybe you didn’t do? Yes. Is it something you can scale? No. That’s what we actually also saw here the feed, only because it is going to utilize a percentage of its daily ad spend for returning customers. It hits a point where the cost that we’re had this thing on, 15 K per day, we topped out at about 87, 80 and 98.
00:16:35:01 – 00:16:53:04
John
Now we’re actually at 15 K per day since the, since the first, we try to push this thing as high as we could, dropping the t Roas just started to overspend and the even the click start to reduce. So that’s, that’s when we shut it off and went back to center shopping. And that’s when you saw the differences between this time period here of scaling as high as we can versus versus not.
00:16:53:06 – 00:16:54:15
John
Here is the kicker though
00:16:54:15 – 00:16:57:08
John
using the same T rho as a 40%.
00:16:57:08 – 00:17:19:17
John
My standard shopping campaign with this full daily has been a 15 K. Right now I’m seeing a 26% increase in cost just by swapping the 15 K from this one and putting in 15 K in here. This one will spend 15 K immediately. So week over week I had to pull 37 out and I was able to dump 60,000 in performance.
00:17:19:17 – 00:17:23:17
John
Max could not do this. Yeah. So performance Max could not scale up.
00:17:23:17 – 00:17:24:15
John
Why
00:17:24:15 – 00:17:26:03
John
why does a p max scale?
00:17:26:03 – 00:17:37:00
John
40% of every dollar you put into it does not go to new customers, and it’s actually stops to spend. Why? We’re not counting returning customers so that money is going out to those people. They are coming in, they are buying.
00:17:37:06 – 00:17:55:06
John
It cannot be seen. So we’re not actually getting Roas from this people not getting conversion value from those people. It actually stopped performance. Max. It reached a point of diminishing returns that says, I can’t go any higher with my current structure and my current setup. What’s your current setup? My algorithm? What are you doing? Not spending all my money on new.
00:17:55:08 – 00:18:04:16
John
What are you doing? Reserving some for returning. Why? Roas looks really good. I get to trick really stupid marketers. Okay, let’s stop doing that. Oh, I can’t, that’s what it’s built in to do.
00:18:04:16 – 00:18:06:20
John
When you stop measuring the return.
00:18:06:22 – 00:18:11:08
Ralph
So it’s embedded. It’s embedded into the campaign type. Exactly.
00:18:11:10 – 00:18:21:17
John
Yeah, it’s embedded into the algorithm. It will. It has a I can’t scale because I can’t count wrong. Started shopping. Blew past it by 40 grand in two days. Yeah
00:18:21:17 – 00:18:22:20
John
that’s the big difference.
00:18:22:20 – 00:18:32:14
John
So if you’re running feeder, which most people or a lot of people are nowadays, they’re running feeder and you’re running a p max feeder, if you hit a scale ceiling, that’s going to get stuck there.
00:18:32:18 – 00:18:37:11
John
The inability for performance max to retain the.
00:18:37:12 – 00:18:38:21
Speaker 3
Cold.
00:18:38:23 – 00:18:53:13
John
Approach from it to it’s prospecting is the downfall to it’s scaling to the point where we’re missing $25,000 in three days and it would not scale up. It couldn’t get past that with the same 40% zero as call on both.
00:18:53:13 – 00:19:02:12
John
So this is this is what we do in the lab. We try to break things. That was actually something that we, we looked at here is it’s still on 40%.
00:19:02:12 – 00:19:08:22
John
Like they’re both still on a T roll as target of 40. So I’m sorry I’m screenshot I’m not sure if you see it.
00:19:08:22 – 00:19:33:10
John
they’re still both on 40% t roas here. But that one did stop that scale like it was 43. And I was like, okay, let’s push it down and then swap it back over. And that one scale up 233%. So this one is still scaling extremely fast. Now the conversion rate after dumping in, you know, $60,000 in seven days on top of 25 is pretty, pretty rough.
00:19:33:10 – 00:19:56:20
John
But the conversion rate only went down 0.3%. Cool, right? Like great. Like that’s that’s not bad. And our CPA went up to 46 and it’s still $2 below our ceiling target which used to be on this one over here. So it’s very very interesting how we can scale this thing up and only go up 14%. And CPA by standard shopping that we’re able to put in our 21 grand in that we could it with performance max.
00:19:56:20 – 00:19:57:20
John
So yeah
00:19:57:20 – 00:20:07:10
John
what’s better standard shopping and performance max for scaling your customer acquisition. Still standard shopping. Can performance max get there? No, it can get very close, but it has a built in fail point
00:20:07:10 – 00:20:15:11
John
that it spends too much money on returning customers on the display channel. That actually didn’t do any prospecting. No. They find new customers? Nope.
00:20:15:13 – 00:20:22:09
John
What did it do in remarketing the existing customers? We’ve, like, isolated it. Yeah. It’s beautiful. Like it’s really cool to see.
00:20:22:11 – 00:20:42:12
Ralph
Well, I think it’s it’s pretty cool because you’re just reaffirming every now and then. Like I think we were talking about this earlier today on our one on one. It’s like, you know, you want to test the boundaries obviously, and try new things, but also you want to make sure that you’re not missing anything. So something that didn’t really work in the past, you couldn’t get new customers from performance.
00:20:42:12 – 00:20:47:05
Ralph
Max. You’re retesting that saying, okay, well, it really is non-branded standard shopping, which is
00:20:47:05 – 00:20:48:11
Ralph
that’s the place to scale.
00:20:48:11 – 00:20:49:00
Ralph
And
00:20:49:00 – 00:20:55:08
Ralph
retesting or re challenging your previous beliefs is always a smart thing.
00:20:55:14 – 00:21:07:06
Ralph
All right. Hope you enjoyed today’s show. We do do these lives every single Friday. So if you like these episodes on Perpetual Traffic, you’ll love them even more if you join us
00:21:07:06 – 00:21:17:23
Ralph
Every Friday at 2:30 p.m. eastern, we get right into it. We’re cooking up some crazy stuff over in the ad lab and what we call the performance kitchen. These are the types of things that we go through. So
00:21:17:23 – 00:21:32:09
Ralph
if you’ve watched today’s show and you say, forget it, I don’t want to try and do all this stuff myself, then obviously we’re here to help you and we can do this. We can deploy these types of strategies that John has has tested in his own businesses.
00:21:32:09 – 00:21:54:01
Ralph
He has a number of different businesses, as he mentions in these shows. But then we are now deploying it into the last 3 to 4 months here, as of this recording, back into tier 11 and getting extremely outstanding results using these strategies. So check us out if you need our help at tier 11.com/apply.
00:21:54:01 – 00:22:01:09
Ralph
So on behalf of my amazing co-host who is not here today, Lauren Petrullo, until next show, see you.
