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Four Google Ads Dropshipping Mistakes We Fix First

September 10, 202611:32438 views

Christopher Krassnig portrait

Written by , Founder & CEO of ZenoX Media.

What this video teaches

Chris shows the four Google Ads mistakes he sees on nearly every dropshipping store that comes to our agency. Gut feel with no written rules. One campaign at scale. Too many test products for a small budget. Tracking Google cannot use. Our agency fixes these. Built for stores spending EUR 20k+ (about $22k) a month on Google Ads.

The Takeaways

  1. 01The biggest mistake is making calls on gut feel, and Chris sees it in 95% of cases, so write down when to scale, when to add products and when to kill them.
  2. 02Without written rules you make emotional calls both ways: pushing too hard when it goes well, and panicking in slow months like the summer dip.
  3. 03One campaign with every product is fine at the start, but keep it at a few hundred a day and you leave money on the table.
  4. 04Doing well is no reason to skip the split: Chris asks what if a 5K day could be an 8K day, and the leaks grow as spend grows.
  5. 05Chris does the math: split 50 to 100 a day evenly over 3,000 products and each gets a couple of cents. Over 60,000 SKUs it is even less (our math). You cannot test that many products quickly.
  6. 06On a small budget, clean out wasters, zombie and out-of-season products, then test about five products a day or a batch of 30 a week.
  7. 07A store at 2K a day spends more in a day than a 40 or 50-a-day store may spend in a month, so it buys data faster. At that level it can also give a separate test campaign 10 to 30% of budget.
  8. 08Basic tag tracking is not enough: track add to cart and begin checkout, and add enhanced conversions, consent mode and server-side tracking so Google can learn.

Full Transcript

2,377 words, from the video's caption track (auto-generated). Brand and product names were corrected. Nothing else was changed.

0:00The biggest mistake we see on 95% of stores

Four mistakes and I see them on nearly every drop shipping store that comes our way to the agency. You can spot the first one in about five minutes and I will show you how. And the fourth one is something you cannot see at all and it's the reason you might be stuck at the moment. So, stay tuned and let's dive

0:18Mistake 1: emotional decision making

straight into it. Mistake number one, let's go. And this is by far the biggest mistake and we've talked about it before, but I still see it in 95% of the cases and that is simply emotional decision making or the absence of clear systems and rules. And what do we mean by that? So, it's basically you don't have a clear structure in place on when to scale, when not to scale, when to add products, when not to add product, clear kill rules on when you have to draft or remove a product, right? So, we need like a clear structure for everything. Because if you don't have that and if you just do it, you know, like you think you have it, right?

You think you have a number in your mind where like, yeah, like we do it when we have this kind of rows or like this kind of rows. But if

1:03Why written rules and SOPs matter

you have if you don't have it written down clearly and a clear set of rules, a clear set of SOPs even, right? If you don't have that, you will you will deviate from that and you will make stupid decisions, you will make emotional decisions down the line. In both directions, right? You might make emotional decisions when scaling where like, oh, we're crushing it, it's going well, let's let's push it. And it might go well one two times, but it will eventually backfire even when scaling, right? Even when it goes well, just because you you don't have this this checklist of, okay, this needs to be done, this needs to be checked, this

1:37When it goes wrong in both directions

needs to be in place. And the same and even more important when it's not going well, right? Like we had the summer period right now, the summer hole, it was quite rough for a lot of clients as well, when there was overall less momentum due to the seasonality. That's where you need to be even more on the ball with with everything and you need to have this in place. Otherwise, like emotions take over and you make stupid decisions that will hurt you in the long run. The second mistake, also huge, and

2:02Mistake 2: one campaign, no split, even at scale

we see it all the time. And the interesting part, we even see it on stores that are actually crushing it. And I might think, "Hey, they they are crushing it. So, like, what's what's the issue there, right? Like, what what kind of mistake can it possibly be? It's already doing well." And that's the exact fallacy that we have on these stores, right? They're already doing well, so they completely ignore it because their argumentation is we are already doing well. So, like, what should we change about it, right? But they completely neglect the opportunity cost of it. And I will show you now what I mean. So, basically, the

2:35Why stores doing 5K a day still leave money on the table

second mistake is if you have all products and just one campaign, no split even at scale. Because obviously, and just let me let me tell you that here. Obviously, we always start with that, right? Just a reminder, in the beginning, we keep it simple, small budgets, one campaign. You need to gather some data. You need to get out of the learning phase, right? But if you scale like that and continue to keep that structure at scale, once you go to like three, four, five, 600 in spend a day, whatever, and you still have that structure in place, you will leave money on the table, right?

Because you will have structural inefficiencies down the

3:10The opportunity cost of a lazy structure

line. Naturally, so there's the opportunity cost of it, right? Again, there's this like fallacy. People are like, "Bro, we are already doing like 5K a days, whatever, right? Like, let's say 5K a days." That's great, but what if it could be 8K already, right? So, there's the opportunity cost of it. It's like, "Okay, it is just an inefficient structure." And it would just get worse and worse the more spend you put on it. Because the more spend there is, the more opportunity there's for for leaks left and right just because of the huge

3:41How to split it properly

amount of money you spend on ads every single day. So, what to do instead? And we have multiple videos on that, right? Maybe we can link it somewhere here down the line. Um how to split it up properly, right? With potentials, champions, wasters. Having a clear structure, when to split it, when not to split it, how to split it, everything in this video. We will put it somewhere here, you can check it out as well after

4:03Mistake 3: testing too many products at once

that one, and then you can learn how to do it properly. All right, mistake number three, and I actually love the one because I feel like that's a mistake you see across all experience levels. Doesn't matter if it's a beginner, doesn't matter if you're already doing 20k days, I see that mistake sometimes across the board, and people rarely think about it, but the mistake I'm talking about is if you're testing too many products at once. Again, a lot of people don't even see that as an issue. They're like, "Okay, [clears throat] what's what's the problem, right?" The more the better is the typical mindset, but it really depends on the current situation and what's going on, right?

Sometimes we have, for example, stores that just start with a budget of just 50

4:47The math on 3,000 products at 50 a day

100 a day. And it's fine, you know, like if you catch a lot of them quickly, you can do that, but if you have a very low budget and you test 3,000 products at once, right? And God knows how many SKUs, let's say like 60 60,000 SKUs. If you do the math, right, and you see how much budget you actually have per day per SKU, it's like a couple of cents, right? So, it's impossible to even test this amount of products quickly. So, again, if you know what you're doing, it's picking up quickly, right? You scale up quickly, you go to like two, three, four, five, six hundred spend a day very quickly, then you have more budget to test as

5:22Why a lean feed beats a bulk upload

well. But still, you know, and especially if it's not going that well that quickly, and you're kind of like stuck, a lot of people they just treat it as a static thing, man, like they they upload something and they give it to a media buyer, and it's like, "Okay, scale it, right?" And if it doesn't work, let's try another media buyer. The whole foundation is right? Never never built to to scale in the first place. Just like a bunch of random products, never optimized, never cleaned up, never testing any new products. It always like stays like that, right? But, one of the main things we usually see and one of the first things we do is like we always start to clean up, right?

Because there's always a huge amount of products, usually a lot of wasters, a lot of zombie products, a lot of products that are out of season even,

6:03Clean up the zombies first

right? And shouldn't be in there in the feed anymore. So, a lot of at all times, to be honest. And especially, and that's the main thing, right? Especially if you are at lower budget levels, still, you need to be smart about the testing. It's better to have a lean feed, do a couple of consistent tests, right? Like five products a day or like you upload a batch of 30 products a week, high quality, properly optimized, and then you test that. It's way better, right? In the beginning, because like if you upload a batch of 1,000 products, you don't even have the budget to to test it, you might burn a lot of money first, right?

Before you even have the opportunity to test anything in a meaningful fashion. So, yeah, that's simply said, just don't do it. I think the main principle here is like it

6:48Match testing frequency to budget level

needs to be balanced with the current budget level that you have and the overall situation, right? Very different situation, for example, is if we are catching a lot of momentum, we have a lot of budget available already, we are at let's say we spend already 2K a day, right? Pretty good. And we have a relatively small feed, then it's different. We we might even say let's upload aggressively, right? Let's push. Because I have a way bigger budgets, I have way more opportunity to structure actually ad account differently, have a separate campaign purely focused on testing products, right? And I give it 10, 20, 30% depending on what's what's the current goal.

I have the budget to do that, right? Like you cannot do that

7:27Why time is not the real metric

in the beginning. So, that's different. It usually is kind of like tied to the budget level. Because low budget, low testing frequency, right? You cannot do that much. Because this store that spends 2K a day spends more a day than this store might be spending in a month. That's another thing that a lot of people get wrong, right? They are about like, how long does it take? How long do I need to test it? How long is the learning phase? It's not tied to time, right? Time itself is just a metric of change. And if you have more budget available, you can make change happen quicker, right?

So, it's not about time.

8:03More budget means faster learning

Like, okay, this store spends 50 bucks a day, 40 bucks a day. Even 1 month is not that much, right? Because it's about how much money do you spend? How much data do you buy on a daily basis, right? And that store gathers more data in a day, therefore quicker, less time than this store can do in a month, right? That's a bit of the the math and the principles you need to understand behind product testing as a whole, and then you will be far better off. All right, last but not least, mistake number four. And I know, I know,

8:33Mistake 4: your tracking is broken

it sounds like an obvious one, except it isn't. And mistake number four is typically especially a lot of beginners, you don't have proper tracking in place, or you don't understand the importance of tracking. You just randomly set up some basic conversion tracking or Google Tag or basic tracking tool, whatever. Simple event tracking, you track purchases and everything. You don't even track add to cart, begin checkouts. But even the the purchase tracking, you know, is the simple tag tracking. You don't have enhanced conversion tracking place. You don't have consent mode in place. You don't have server-side

9:07Why basic tag tracking is not enough

tracking in place. You like, you want to have tracking as advanced as possible. And a lot of people, a lot of beginners specifically, right? They try to save some time, they try to save some money, or it's a simple, I just set it up like that and I get the ball rolling and I'm tracking anyway. Look, it's working. Right? But it's not about, okay, it's working, it's about how well it works. And it needs to work perfectly because you need to understand like, okay, you see all the data in the backend, right? You see how many sales come in, you you know your profit margin, everything.

You you it's working, you make profit or not. That's fine, right? But it's not

9:38It's not about you - it's about Google

about you. It's not just about you. Actually, it's not about you at all, right? Because you do have to pay that. The important part here is does Google get that data as well? Right? Because only if you can feed back all the data and the the conversions properly into the ad account can properly speed up the learning phase, right? And only then you can properly speed up the learning phase and make some proper moves, right? And continue to scale and grow in the store. It sounds like an obvious mistake, but a

10:06Why this sounds obvious but still gets ignored

lot of people still underestimate it, right? Because they're like, "Ah, it's working already. Look." But again, it needs to be flawless, right? Like especially in the beginning when you're still in the learning phase, when you're still not having a lot of data. You want to make sure that runs smoothly. It's kind of like one of these foundational things, right? Like it's super basic things. A lot of people they want to jump straight into these advanced hacks, secret tips nobody knows, right? It

10:28Fix these basics before chasing hacks

sells really well on YouTube as well. I could do a video about that. But it's about these basic things you need to crack first, right? And in this video I had a mix of both. Some of these like key things I see all the time. So make sure you fix all of them in this order, right? Like just tackle all of them. You have to make sure, okay, tracking is in place. You test the right amount of products. And everything else we discussed in the video is like 80 or top notch. Needs to be bulletproof, right? So let me know in the comments which mistake you have made before.

And also if you have any further ideas that you have noticed for yourself like mistakes you see are often in the communities or mistakes that you have done yourself, then drop it in the comments as well. Curious to see what

11:11Wrap up

you've got. And also if you like that video, leave a like, subscribe, comment down below as well. And then we will make a more extensive version next time as well where we tackle even more mistakes. That's it for today. See you in the next one. Ciao ciao.

Questions People Ask About This

What Is the Biggest Google Ads Mistake on Dropshipping Stores?

Making calls on gut feel. Chris sees it in 95% of cases. Most stores have no written rules for when to scale, when to add products, or when to draft or remove a product. You think you have a number in your head, but you drift from it. Then you push too hard when it goes well and panic when it slows down. Write the rules down, even as SOPs, and follow them.

Should a Dropshipping Store Run All Products in One Campaign?

At the start, yes. Chris says to keep it simple with small budgets and one campaign, so you gather data and get out of the learning phase. Once you spend a few hundred a day, that setup leaks money, and the leak grows with spend. A store doing 5K a day may be missing an 8K day. Then split the products into champions, potentials and wasters, with clear rules for when to split.

How Many Products Should I Test on a Small Google Ads Budget?

Fewer than you think. Split 50 to 100 a day evenly over 3,000 products and each gets a couple of cents. Over 60,000 SKUs it is even less (our math). Chris says you cannot test that many products quickly, and a lean feed works better. First clean out wasters, zombie products and out-of-season stock. Then test about five products a day, or upload a batch of 30 well-optimized products a week. A bulk upload of 1,000 products can burn money before you learn anything.

How Long Does Google Ads Product Testing Take?

Spend sets the pace, because spend buys data. A store at 2K a day spends more in a day than a 40 or 50-a-day store may spend in a month, so it buys data faster. At that level it can also run a separate campaign just for testing and give it 10, 20 or 30% of budget. On a small budget, even a month of testing is not much data.

Is Basic Google Tag Tracking Enough for Dropshipping?

No. Many beginners only track purchases with a simple tag. Chris says you also want add to cart and begin checkout events, enhanced conversions, consent mode and server-side tracking. You can see your sales in the shop backend. What matters is that Google gets the same data. Only then can it speed up the learning phase so you can scale. Tracking has to be flawless, most of all early on.

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