$12,000 Testing 'Optimized Targeting' in Google Discovery Ads. Here's How It Performed!

if you've worked with a google ads discovery display or video campaign over the last few months, you've probably notiked this setting at the ad group level to use optimized targeting and when toggled on, google may find people beyond your selected audience. in other words, they totally disregard your audience signals that you have set and look to find people that will ultimately convert and, according to google, ads have seen an average of 20 percent more conversions by using optimized targeting. so if you're like me and skeptikal of anything google tells you, you might be wondering: does this actually work? do you really get 20 percent more conversions using this optimized targeting? well, i have been using this optimized targeting in a campaign now for a few months- about three months i think- and it's spent nearly twelve thousand dollars with this setting on. so let's just take a look at it here and take a look at the performance and how many conversions are coming from the optimized targeting setting. google actually breaks this down for us. uh, here we are at the ad group level in the campaign. i've just got one ad group in there. it's got all my audience and all my audience signals in there. one big, broad ad group for the campaign. that's how i like to run things and going back to may 16th when i launched this- so may 16th, june, july, august- little over three months- it has spent nearly 12 thousand dollars- 11 949.78- and gotten 528 conversions. so we've spent a little bit of money on it and we've got a good sample size. now if we come over here on the left and click on audiences here we can actually start getting some breakdown. so this is our audience segment table and if we click to expand it and show table in mind when we expand it, i am going to- uh, i am going to cover some things up, just because i like to keep my offers and ultimate conversion events and websites and targeting. i do like to keep that stuff private. so with that expanded, here we can see all of my audience segments, but i've got those covered up. here we can see total segments and total expansion and optimized targeting. so we just scroll over to the left a little bit. we can see that my segments themselves, my audience segments that i have set, have generated 377 conversions at a cost of 22 dollars and two cents per conversion. the expansion in optimized targeting- the optimized targeting- used to be called audience expansion for a brief period there- uh, a year or two ago with the optimized targeting, though that factor, that setting, has brought in 151 conversions at 24.19. so over this entire period of time it has added quite a few more conversions, nearly- i don't say 50- about 40 percent more conversions i've gotten using optimized targeting now over this long period of time since the beginning. the cost per conversion for the optimized targetings is slightly higher than the segments, but i would attribute some of that to the phase when it has to learn. so let's just toggle this back to the last s. i'm going to say seven days, let's go with a bigger sample size, let's go 14 days, right. so at this point the campaign has had quite a bit of time to learn. it's had a good sample size of conversions come through and now we can see that the total from segments is 88 at 18.72 cents and the total from expansion and optimized targeting is 28 at 18.11 each. so, uh, it's getting roughly. it's a little more than 25. it's got about 30 percent more over the last two weeks and they're coming in at a lower cost per conversion than the segments i'm actually targeting. so what i'm seeing here is that at least in the discovery campaigns the optimized targeting is working quite well, and i am rolling this optimized targeting, setting out or toggling it on for my other discovery campaigns. now, that said, notike, that i am specifying discovery campaigns here, because i did turn this on on one of my video ads campaigns and, uh well, the results are still to be determined, but at this point they do not look promising. so i'm seeing very good results with optimized targeting in the discovery campaigns, as i said. my video ads, though, and the one that i turned it on for- on that, because i always move in small increments, i'm not like, oh my god, optimize targeting works. i niche it down. i'm like, all right, optimize targeting in this example was working for a discovery campaign. let's add that to the others. but let's see what it does on one video ads campaign. and on that video ads campaign it is not, uh, it's really not doing anything. it's been on for a couple days and it's just kind of gone haywire and it's spending all kinds of money. but mind you, you know, notike, when we were, when i had this setting here to the beginning of the campaign, my cost per conversion was like 22 or 24- i forget what it was. in time that's came down, the more sample it gets. so when you've, when you're using that optimized targeting in the beginning, it's going to spend more money because it's going to be testing all kinds of things, trying to figure out where your conversions ultimately come from. so optimized targeting will waste money initially up front because it's got- uh, it's got- a bigger pawn that it needs to get a sample size from and i i don't know what's going to happen with the video. i think i was going to say i'm optimistik in the optimize target. i will say i am optimal optimistik for the optimized targeting in the video ads campaign as well. um, ultimately, google and their smart bidding strategies have worked. so on that note, guys, let me know in the comments below what has been your experience with optimized targeting setting and if you found this video helpful and insightful, go ahead and hit the like and subscribe button. i'm signing off on this one.

How To ACTUALLY Do Split Testing With Google Ads (Shopify)

split testing with google has has literally changed the game when it comes to google ads, simply because you have a lot more control over your products, you have a lot more things that you can just play around with when it comes to google and, trust me, doing this alone can literally add six figures to your overall google ads revenue. and i'm not even joking about this, because let's first of all define what split testing is. split testing is essentially testing two different things together in order to find a better version of that same overall basic thing. so, for instance, you could be split testing different titles, images, prizes, even descriptions, for that matter, and you may be more familiar with terms like a b testing. or you may have done this yourself on facebook ads, pinterest ads, tiktok ads, etc. because it is very easy to split test on these other ad platforms. majority of the people split test different ad copies. so inside of one facebook ads ad set, you would have two to three different ad copies. that's basically split testing. however, with google ads, obviously, if you already use it, you know that there's no kind of way for you to split test ad copies. well, first of all, because you don't have ad copies to begin with. but also second, because google doesn't really offer any type of specific way to split test, especially those google shopping ads. so exactly how do you go about this process? how do you make sure that your products are getting tested the right way, with the right things, and that they're performing at their peak levels? because, believe it or not, if you have a few winning products that are bringing you a thousand dollars a day, just a quick little split test can be the reason why you end up doing five thousand, even ten thousand dollars a day with that given product. now, before we actually tok about the exact strategies, how to do it, etc. let's start off by toking about the benefits, because it's important for you to know why you should even spend time, money and energy thinking about this and doing this. so, first things first. before toking about even the benefits, you should only be considering split testing those products which are actually winning products for you, which are actually bringing you money right now, and i don't mean a product that just got you one sale recently or got you two sales about five months ago. this product should be a winning product right now, and a winning product is something that is getting you consistent sales, but also, to begin with, has gotten at least three to five seals. so whatever products you have right now, go through them and make sure they follow this given metric, because otherwise there is no reason for you to split test. and the main reason why i abide by this metric, no matter what store i'm running, is because split testing essentially lets you make your current winning products bigger winning products. what that means is it kind of makes it easier for you to optimize because now, on a product level, you are making those changes. you are kind of giving google the ability to go out into the market. take these two products- which, by the way, it's gonna consider as two completely separate products- and then try to find out exactly which is the real winning product from these two winning products. and obviously, if you already begin with a winning product, you know that this product already works. so now it's a matter of whether that change that you made- whether there was a new title, new image, lower pricing or higher pricing, etc. if that is what is causing this product to either get more sales or to get less c, and because you already optimized this product at a product level, now it makes it the whole process with actual google ad side optimization, much, much easier for you. but also, the main thing is, split testing allows you to give your products the maximum potential available and the maximum chances available for it to become a real winning product. and that again goes back to the main thing i mentioned, which is doing this can alone change your daily sales from a thousand dollars a day- i'll do up to five thousand, even ten thousand dollars a day. so, basically, split testing is very important and you should know how to split test properly. which brings me to the next point of this video, which is: how do you exactly split test properly? because, as you already know, google doesn't necessarily give you a good way to split test anything and there is no real option for you to go about doing this. so there are three major strategies when it comes to split testing, and i highly recommend that you go about all of these three main strategies on your shopify store because, like with anything out there, every ad account is different. so strategy one, which i'm about to mention, might not really work for you, but strategy two and three might do much better and, on another hand, for somebody else, strategy one might crush it absolutely. so, again, you want to make sure you're testing all of these three strategies out, but strategy number one- and this strategy involves you using that main winning campaign, which has that main winning product, and kind of going about split testing within that main individual campaign. now let's start off with a basic scenario. let's say you have a 3d printer within your main general testing campaign and so far, this product alone has gotten you about seven sales, and it has been consistent sales. so this week alone you got about three sales. last week you got two sales, and so forth. so this product has been showing a lot of consistency. the next step for you is to go about starting off that split testing process now, before you use any of these strategies, here's exactly how you go about with the split testing process. first things first, you need to go on your main dashboard- whether you're using shopify, woocommerce, whatever the case might be- go on your main product dashboard and duplicate this product. it is very important for you to do this step correctly, otherwise this split test is going to be an absolute mess. so what you want to do is you want to go on your dashboard, you want to start split testing, and what you want to do is you want to duplicate this product and only change whatever variation that you are trying to split test. which means, if you're trying to split test the title, make sure you're pricing, images, descriptions and even the reviews is all the same. only that specific variant that you are trying to split test is different. in another case, if you're trying to split test the price, make sure everything else besides the price is the same exact thing. otherwise there is no reason for you to split test, because now you're testing multiple different things all at once and you won't know whether it's the price that's causing you to get more sales or less sales or whether it's some other thing which accidentally you forgot to change. so you want to make sure you do this number one step before you apply any of these other strategies. but once you have duplicated that product, once you have made sure everything is the same besides that specific thing, what you want to split test, now go ahead and add this new duplicated product variation inside that main general testing campaign where the original product is, because now what you will be doing is you'll be using this main general testing campaign as that split testing campaign and you will be split testing these two different things inside there, and oftentimes whenever i suggest something like this, a lot of questions arise regarding what would happen with the bidding, how the algorithm would kind of react to this and so forth. so let me kind of answer that very, very briefly. what's going to basically happen is now: google is going to assume that these two products are completely separate products, so they will go inside the auction at completely random times on their own basis, on their own merits. so if product number one google thinks is gonna be doing better, then they will try to win more auctions for it. if product numb

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A/B Testing Ads: Amazon Sales Boost with Advanced Test Analytics (+4 Free Tools for Amazon Sellers)

good day everybody and welcome back to this channel. all about amazon ppc and how it can help you with your amazon business, and today i thought i would share with you the next in my top amazon ppc mistakes series. mistake number 16: not using a b split testing on your ads and if you're using it, doing it wrong, okay. so that's the topic for today. i'm going to share probably more than i intended for this video originally and i'm going to give you a lot of tools that can also help you- free tools as well. so stik around. there's a lot to catch in this one right there. first off, why do we want to split test? well, quite simply, you are missing out on a ton of sales. if you don't imagine if you can increase your click-through rate from 0.3, for example, to 0.6, you are basically doubling your clicks that you're getting from the same amount of impressions and let's assume your conversion rate stays more or less the same. you are basically doubling your sales just by having a better image or a better title. usually it's the image we'll get to that later on, right? so if you don't split test that, you have no idea on what kind of huge sales improvements you are missing out on? okay, so now we know why we want to do a b split testing. let's just have a look at what we actually want to split test now. this video is mainly about what you're split testing within your ads, but of course, there are big factors outside of amazon ads that hugely affect your ads as well. so obviously we have the title, the price, but, most importantly, your image is simply the biggest factor of you getting clicks or not, right, and it doesn't affect just your organic traffic, obviously, but also your paid traffic. so that's the one thing you really want to split test. you can also do split tests on your title and a plus content, and that can actually easily be done nowadays with amazon. manage your experiments if you are brand registered. but, like i said, the main thing you really want to do testing on is different kinds of images. do i put the human in the image? how much of the human do i want to see in that main image? how much shadow is in there? how big is the object? so these are things that you want to test and you just want to find out: where am i going to have the best click for it? okay, and how do i find that out. well, there's two approaches: the one before the launch of the product, where you ideally already have an idea which kind of image works best, and there's a couple of free solutions that i'm going to show you now. so one of them is called favor, and that is actually, as far as i know, only available in the european app store now. but a quick google search actually showed me that there is also a us alternative called swelly, and basically all you have to do is just upload your two images that you want to test against each other, and then you can let random people go all tinder on those images and select the one which they like best, and in the end you're gonna see well which one works best for you. now, i should mention this is, you know, nice if you don't want to spend anything, nice if you just want a quick glance at what works better potentially. but of course, for these kind of free apps, you don't have any control over the audience, and the audience matters a lot. right? let's go back to our product images here. if you had a beach pants, but it is for women- and then you test like one image without the girl and one image with the body of the girl and you might get a result very strong in favor of the image with the body of the girl if you just use a free app like swelly, simply because you don't know. you know what is the split between men and female voting on these apps? right, and obviously, if it's a lot of men, well, they're usually going to take the one with the female body, even though perhaps women will actually far more often go for the image without the body, right? so those are things you don't really know and it's kind of dangerous to then rely on those results. i just want to mention that. but nonetheless, if you have absolutely no clue and no other means of testing, then this is kind of a good start to at least get a first impression of what image can work better for you. okay, but there are, of course, also paid versions, and one of them is pickfu, and here, in contrast to those free options, you can then kind of choose your audience. you can, you know, pick the age, you can pick the gender and you can even pick various personality traits to really define your audience. and then you pay more or less um fifty dollars for each respondent, and they even have to give you a explanation for why they clicked on that image so you can truly understand why that image actually works better for your product. now, obviously, this can get a bit expensive if you want to do it for every product, and usually i would only recommend it for products where you think you can dominate that market- we're going to get a lot of traffic- and where you could easily be that dominating product in that niche. right there, it might well be worth investing a bit more to make sure of that with the best possible click-through rate, with the best possible image. so i'll leave you a link for this tool down below in the description and the comments, and, of course, for the other tools that i'm going to show for picture. i'm also a affiliate, so you would also do me a favor on the side by choosing this service. but now let me just go to the next option that you have, and this is kind of a pro tip. if you are using facebook advertising for your product, you are basically getting free a b tests at the same time, and so usually what you want to do before a product launch, you want to collect emails from potential customers, right? you want to lure them with some discount or whatnot to catch their email and while doing so, you are testing it with two different images or more even, and at the end of the day, you don't only have emails to which you're gonna send your amazon product link once it's ready, but you also know what is going to be your main image. so those are things you can test your main image before the launch with, but there's also things you can use after the launch, after it's already on amazon, to basically have real amazon data and real amazon split testing going on. so, apart from amazon's own, manage your experiments, which now lets you experiment with two copies of the a plus content as well as recently added the title, which is, of course, very powerful- you can still do far more testing with tools like listing dojo. this again is free, by viral launch as well as splitly. again, i'll leave you a link below. this one is not free, but it offers a bit more customization in those tests, and here you can, you know, also test things like pricing and bullet points and so on, if you really want to go the extra mile. again, i would generally not recommend that for every product- not usually worth it- but for those high traffic products of yours, for those bestsellers or viewers, if you can get a small improvement in conversion rate out of a test like that, basically, the pricing for that tool is already paid with the first few extra sales that you're gonna get from that improved conversion rate. okay, so i'll leave all those links down below in the description. but now let's get to the actual topic of this video. it's already been quite a while, but what i actually wanted to tok about mostly is the things that you test in your amazon ads, and the first thing you want to test is the headline. this is available for sponsored brands and sponsored display ads. so again, here you just want to create two campaigns- the exact same product, same targets- and then only change the headline. right? you don't want to split, test various things at the same time. you only want to change one component. so either the headline or the image- right. here you might be using your brand or you might be using a lifestyle image, which usually works a lot better, and so you want to test between those lifestyle images. the brand actually usually only works better if you are target.

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Facebook Ads Testing Strategy 2022

let's see what was the question in the chat there. yeah, a question before we leave, jacqueline, yeah, go for it. yeah, so i just wanted to quickly ask about what testing strategy you guys recommend for this new client. will you go with dynamic creative testing, just testing the creative in itself, or creatives and headlines, the whole lot at the same time? what sort of approach would you guys take? what dates have you already got, or was it clean? i'd say barely any and nothing valuable, really dct, exactly. and then what? three to five creatives per three marks, never more than three. and then just, uh, one headline, one headline, one copy, one link, yeah, and then from there the only thing you're really testing is the audience. so if you also then go and test headlines and creatives, yeah, yeah, i always like to only test one variable at a time to campaign, just to keep things simple. you, to really simplify it, the order that i sources stik to is images first, copy second, interest, and then, if it's an international client, i'll test it like different countries, um, and then later down the line, like the offer, opt-in, placement, stuff like that. but usually you just start with images first, copy second. so images, copy, and then, uh, the audience. yeah, interest, audience stuff like that. okay, so how would i go about with the first? uh, just do i just pick a random audience now? oh, yeah, so what i'd usually? where are you going to do it? mexico or the us, mexico? i'll probably just go abroad. images, and how do i start? you know, in your onboarding have certain questions to figure out audiences. yeah, like you really want to, essentially, i call it like you want to be very thorough there so you can find out as much information as possible. yeah, so i, i know it quite well because we've been working together for a while and preparing everything. um, but i'm just really confused about the launch in terms of testing. i've got a bunch of creatives, so do i just split it into [Music]? a bunch of different ad sets for the same always. you always want to have the same ads on the, the ad headsets. so i would pick the top three, just top three creatives. yeah, i wouldn't really start, because otherwise you- you're- i call it- like you're kind of going to begin with too many many variables at once. you want to keep it simple, so i couldn't, for example, test 10 creatives and then pick the best three or four, and then i would only pick three and then, once you see what's working, keep one and then just keep adding two new ones all the time. okay, and then process of elimination: okay, cool. and then basically i'm doing hoodies and then swim shots and i would just separate those into different art sets. exactly, okay, cool, oh, all right, i appreciate that. hi there, guys, hope you're doing well, and if you are seeing this, that means you've made it to the end of the video. so thank you so much for watching, and that was basically a snippet of a one-time event where we basically went in, analyze your ad accounts and, uh, answered any questions that you had, completely free of charge, no strings attached. so if you wanna join something like this, there's nothing really like this on the cards anytime soon. however, we do have a coaching program where we do exactly this. so not only do we show you exactly you know how we've been able to generate multiple six figures with our agencies, generates hundreds and hundreds of appointments per month for ourselves as well as our coaching students, but we'll also answer all of your questions, analyze your clients ad accounts and also share our screens and show you exactly how we're generating leads for our own agency, how we're generating sales for our- you know- ecom stores, our own clients and so on and so forth. so if that sounds interesting to you, i will leave a few resources in the first comments of this video. one of them will be erwin's own youtube channel, so feel free to check that out and subscribe to his channel. the other one will be the link to the free agency scale and fast track facebook group. and the third one will be to book a free call with one of those social, basically someone on our team. no external sales guy, not like that. it'll be someone on the team, either myself, either erwin, brandon or elliot. we'll go over where you're currently at with your agency and then see we can come up with a game plan to get you up to six figures and beyond as well, and you know the best way of of doing so. so if that sounds interesting to you, it'll all be linked in the face comment down below. but for now i'll wrap this video here. thank you so much for watching. like, share, comment, subscribe and i'll see you all in the next video. [Music].

How to Test Facebook Ads - Best Facebook Ad Testing Strategy for 2021

in this video, i'm going to show you how to test your facebook ads effectively. that means testing them in a way that gets you better results faster, and how to do it in a way that doesn't burn cash, because you want to get to that end result of a successful facebook ad campaign as quickly and as cost-effectively as possible, right? so, despite what some people may have you believe, there is no secret hack or no special boxes to tik in the right order inside the facebook ad manager in order to succeed with facebook ads. what it really comes down to is having a strategic and well thought out approach to testing and then following through with that so you can continually improve your results, meaning lower your cost, increase your return on ad spend until you get to where you need to be, and then you can scale. when it comes to testing facebook ads, there are three things you need to get right: audience, creative and copy. get all three things right and you'll have a very successful facebook ad campaign on your hands. here's how you do it. first, make sure you hit that like button for the youtube algorithm. look, it really does help the channel and i would really appreciate it if you enjoyed this video. just to hit the like button and if you want to hear more from me, hit subscribe and hit the little bell to get notified whenever i release a new video. now, on a serious note, let's look at how we actually get this testing process right. the first thing i want to say to you is: if you already have data, if you already have audiences that work, or you already know what creatives work, or you already have some copy that works, don't start there. use what you already know and start testing the other areas now. that said, the first thing that i like to test when i'm starting from scratch is audiences, and the reason for that is because i want to test the things that make the biggest difference first and then move down, and targeting the right audiences has a huge impact on your campaign. if you're not targeting the right people with your ads, then your chances of success are very small. so here's how i like to test audiences. to start with, first thing you're going to do is set up a new campaign and use ad set budget, so i don't use campaign budget optimization at this stage, simply because when you use cbo, facebook decides which ad set to allocate the budget to, and if we're testing audiences, then we're going to have one ad set per audience that we want to test and we want to make sure that each of those ad sets gets the same amount of spend going to it, because when we look at our data, we need to make sure that we have a reasonable volume for each ad set or audience so that we can make smart decisions. if we went with cbo, what might end up happening is some ad sets might end up getting a lot of money spent on them and some might get very little or even no money spent on them, so we wouldn't be able to then make a judgment as to whether they were good or bad. so we want to choose ad set budgeting in our campaign now. inside that campaign, we're going to create our very first ad set and inside that ad set, you're going to set up your targeting for the first audience that you want to test. then, when it comes to budget, i recommend a daily budget and setting it to 5 to 10 times the desired cost per lead that you're looking for. so if you're running to a webinar or, let's say, a pdf or a checklist or a cheat sheet and you're bringing in leads- meaning email subscribers, and let's say you want to get an email subscriber for five dollars each, you should set your ad set budget to five to ten times that amount. so if five dollars was your desired cost per lead, you would set the budget between 25 and 50. so if you're selling a 50 product and the most you want to pay per customer is 20, then you would set your ad set budget to somewhere between 20 and 40.. one to two times your desired cost per purchase. now, when it comes to placements, i like to choose manual placements and just remove the audience network. the reason for that is it's one less variable and i don't generally see great results on the audience network. so i like to go in and remove that and then just set everything else up as you normally would for your campaigns. if you've got specific audiences you need to exclude, do that. if there are specific demographics that you need to target, go ahead and set that up, all as you usually would. the next thing to do is set up three to four ads inside your new ad set. so go in, set up these ads, each one with a different creative meaning, image or video. now i like to do it, so i've got a mix. maybe it's two images and a video, maybe it's an image, a video and a carousel- but make sure you have a good mix of creative in there and also use the same copy for each ad in this first case. the reason being because we don't want too many variables and we don't want any more than three to four ads inside the ad set, because otherwise what happens is, again, facebook doesn't allocate budget evenly. so if we have more than three to four ads in an ad set, what you'll end up finding is facebook allocates a lot of budget to some of the ads and then not very much to others, so we don't get any meaningful data from that test. now, once you've got that set up, simply duplicate the ad set somewhere between two and four times, depending on how many audiences you would like to test. now, generally, the number of audiences that you want to test comes back to the total budget that you have available for testing. so if you have a large budget for testing, you're going to test more audiences. if you have a small budget, then obviously you're going to be able to run fewer tests at any given time. let's go back to our example, where we were using 25 a day for that first ad set. if you have, let's say, a total daily budget of 100, that means you can have four different ad sets running at 25 a day each to reach your maximum daily spend. now if you only had a 50 a day maximum budget and you're running 25 per ad set, then obviously you could only have two ad sets running. many could only test two audiences at a time. the number of tests you can run is directly related to your total daily budget. so once you duplicate the ad set in the new ad sets- meaning the duplicates just change the audience in each one to a different audience that you would like to test. so what you should have are a series of ad sets, each one with a different audience. now a couple of tips on setting up your audience as well. first thing i will say is: don't go all 2015 on me and set up individual interests for each headset. okay, that used to be a thing way back. it's not anymore. what i like to do with interest instead is bunch them into logical groups. so let's say you have one ad set with a bunch of interests that are all influencers in your industry. you might have another ad set that contains tools that your partikular avatar uses, and then maybe another ad set that is a look-alike audience of your customers. that's the other thing i'll say here is you should have an ad set that targets a look-alike and then you should have another ad set, for example, that has a bunch of interests in it, and then you know, under the look like or whatever you want, but inside your campaign you should have some ad sets that target lookalikes and some ad sets that target interest. the next thing you're going to do is start your ads. okay, start running the ads, and i want you to leave them for five days minimum. five to seven days is how long you want to run these, because that's how long it's going to take you to get reliable data. now, if after three days you do notike that maybe one ad set is really bad- like the performance is terrible- then i might go in and turn that individual ad set off. okay, but generally i let them run for five days, unless there's something in there that's just so bad. you know it's not going to ever be anywhere near your desired kpi. now, after that five day testing period, you're going to notike that some of your ad sets have outperformed other.

Testing Your Ecommerce Store With Google Ads

you have a great idea for an e-com store, you've got some awesome products, everything is set up and you're ready to sell. but will it work? when you launch, will you make money? those mountains of profits rolling in, all those customers buying products from you, all those sales racking up in your shopify dashboard- that's the dream. and so you hit publish and you wait. then you get a sick feeling in your stomach. will anyone buy my stuff? why aren't i getting any sales? maybe you felt the same when you started your first ecommerce store- that nervous feeling in your stomach. you thought that as soon as you hit publish, the sales would just start rolling in. if you didn't run any strategies to get traffic to your store, then i'm sure you were just like me and you were sadly disappointed. no, i didn't become a millionaire overnight. but the good thing is, if you use something like google ads, you can quickly test and see if your ecom store and products are going to work. this is why i love google ads so much. people go to google with a clear problem: they want a specific product. for example, searching for trash cans for cars. trash cans for cars- and boom. if you set up your google ads properly, you can show every single time someone searches for this search query. if you're selling these trash cans for cars, then, boom, that person can click through, go to your website and buy your products. man, it's awesome, and that's why i love google ads, because when people go to search, they're showing clear intent to buy. you're not trying to interrupt them with an ad when they're doing something else, which does work as well. but with google, you can see that people are actively searching for what you're selling and once you have that search traffic going to your site, you just have to make sure that you give those people exactly what they want. they're on your website. now it's just about tailoring your website and your products for those people. so how do we do this? well, every way they interact with you and your store is a form of feedback. did they purchase from you? great, that shows you're converting them. but every point up until that conversion is important too. how long do they spend on your product page? do they scroll down? do they add to cart? do they check out? the more you optimize this, the better. this is all good data, but what's even better is actually toking to your customers and finding out what they're looking for. the easiest way to do this is to just set up a live chat on your website and put your phone number in the header. we even call our customers after they get the product and find out how they're finding our product. yes, i know it sounds weird. we call them through skype to actually save money and so they can see it's coming from a landline number rather than a cell phone or mobile phone. but, man, the data we're getting from this is insane. we learn so much and we take that knowledge and go to our website and improve the website based on what people want. if a customer really cares about a certain feature, then we make sure we highlight that on the product pages. and if you don't want to call your customers, there are so many other ways to go about toking to them. you can find them on forums or find them in facebook groups. you can also check out your competitors and see what they're doing well, and not just the ones in your country, but all around the world. you can pull from what they're doing that's working and use it for your install. okay, okay, i know i go on again and again about toking to your customers. i've just seen so many stores be absolutely turned around by doing this and every time they come back and speak to me like i'm the messiah, that i had the secret answer. but honestly, it's just simple: entrepreneurship. guys, your customers are going to google with clear intent: they want to buy your products. you need to figure out why they want to buy the products and then show that your store is the best one to buy from you. hammer this home with all the content on your website: the text, the product images, the product descriptions, every single part you can. it's so powerful, man. if you're paying for google traffic and increase your conversion rate. 1, this can mean the difference between losing money and making money. you're already buying the traffic. the traffic already wants to buy. now you just need to give them what they want and craft your website specifically for them. let me show you some examples of this happening on real stores. okay, guys, let me show you some examples of this intent with google. so i just searched for white noise machine. if you don't know what this is, it's just a machine that plays white noise like it helps you sleep. you know it covers up background noise. a lot of people buy this to help them sleep at night time. so even just searching this, you'll see the autokomplete shows you all these other ideas as well to block sound. so that's a reason why you know of course people use it to block sound. but make sure you emphasize that on your product pages. for babies, maybe you say this is perfect for babies to help them sleep. it's showing this, this, this is this. this is all stuff that you need to do. people are looking, they're showing their intent. then you've got to make sure that your ads you target these people and get them to your product page. for example, this first one here: the snooze white machine. it's just like a little machine that makes this white noise and they've made sure fall asleep, stay asleep, drop the noise and let your mind rest with a snooze sound cocoon. this product page is really well thought out and they're targeting this keyword. clearly you know the shopping campaign is- at least if they had some search campaigns up, they could do it as well- target this keyword and then get them to the product page. people are looking for this exact product. so all they have to do is find out what do these people want, and they've obviously done this already because they know okay, all this sort of stuff, all this app enabled. it's got an app, it's adjustable. this is what people want. so either they craft their product page to answer these sort of objections, these questions people have in their mind, as well as actually improving the product, which is another step, which is even better. okay, guys, but that means nothing unless you communicate it. that's the first example, guys. this is another really good example. i just put in book holder for reading in bed. people are going to search for this. look at all the shopping ads coming up. there's all these search campaigns, too, coming up as well. search ads right there, and you can see people that are searching for this. they're looking for this, this product here. actually, from these ones here, there's a couple of them that are pretty good, but this is from wayfair, amazon, etsy, staples. that's okay, but there's no. i didn't see a brand store here like a brand store that just sells this type of product. so there's a big opportunity here. and when i went over to the google keyword planner, you can find this in your google account by going to tools and settings, but keyword planner there, and you can search and see the estimated volume of people searching for this sort of search query every single month and the potential estimated cost- and here there's a decent number of people searching for this product- and the actual cost. the estimated cost, that's actually decently low. usually i'm seeing like one dollar to two dollars, but for this that's an intent keyword. people are searching for book holder for reading in bed. there's a specific use, they're looking for a specific thing and the competition didn't look that great. hey, this is an idea. you can test this out. you can create a brand store exactly around this product. you can see people are searching. it's clear it's getting about 1600 searches per month. that's just for this, this keyword here. there's all these other keywords around it. these are the broad, broader keywords, long tail keywords that you're going to pick up with your campaigns as well. people ar.