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Published on: January 27 2023 by pipiads

Ecommerce Attribution Software - Northbeam Vs Triple Whale

hey guys, Jordan West eCommerce entrepreneur, back here with the burning question: which eCommerce attribution software is better, northbeam or triple whale? watch today's video to find out. hey guys, the moment that you've been waiting for, I'm going to be doing a comparison between triple whales attribution software as well as North beam software. really, really looking forward to diving into this. first of all, northbeam claims that they are a dream for the modern marketer. we will find out. dream or nightmare? well, let's get into it. I'm going to start with triple whale and I want to go to, uh, show you a little bit about triple whale and what they have. so Chippewa claims to be an operating system, the operating system for e-commerce Brands, and let's see if they, uh, if they actually live up to that, uh. so I'm gonna actually go into my triple whale account here and show you guys just a few different things. number one: one of the things I absolutely love about triple whale is their app. it is an app that I check religiously, so they've got a mobile app constantly looking at it, and I don't know if you guys can see that in the screen here. um, so what I'm constantly looking at is my sales, my new customer acquisition, my return on ad spend, my CPA, my new customer CPA, all of those things, but this dashboard alone is worth worth its weight in gold with triple whale. I'm constantly watching this dashboard and comparing year over year as well. so I'm looking at, uh, October- you guys can see I'm filming this- October 28th of 2022.. yes, it's been a pretty difficult year, um, but looking at October, I'm really happy with some of these numbers and I'm looking at the numbers that actually matter. that's the problem of the Shopify dashboard is that you you're not getting all of that data that actually matters together, and you're also not getting the triple whale data, and we'll get into that in a second. so when I look here, I put all of the metrics that I care about here. first, I put sales, but new customer acquisition cost, um, I put my mer, which is, you know, an incredibly good, uh, you know- metric to be looking at 10. I'm sure lots of you are looking on that and being a little bit jealous or wondering, George, why have you not scaled this one up even more? and, uh, yes, this is continuing to scale this account here and you can see, hopefully they'll be hitting 400 by the end of this month here, um, and you can see, uh, our net new subscribers. we can see, uh, our return on ad spend on Snapchat, on Google, on Facebook- really, really great numbers. and then also they've recently integrated with no Commerce, which is my favorite post-purchase survey tool app. we're actually able to see where these new customers are coming from. so I can see a huge amount here are coming from Instagram, Facebook, a little bit from Google as well, and not too many from tiktok, so we're not really focusing on that channel. uh, right now. anyway, this is not about my marketing mix. uh, this meeting, this is about the attribution software and the different types of software, um, that northbeam and triple whale are. so I want to continue to show you around triple. well, just because I absolutely love, uh, triple whale, there's some really really great features. so we're going to get into the ads portion here. we're going to take a look at the difference between the triple pixel and on platform data. so we've got two different data sources. I used to also keep uh, and and you can in here. you can also put in your data from let's. let me just show you this here. uh, you can also put in your data from Google analytiks if you want um. I don't put Google analytiks data in here. it's not something that I love uh to have um for me. I prefer seeing um- the triple whale data, and then I prefer seeing the actual data from uh or campaign data within uh, the actual um platform itself. so I'm sorry to to tripping over my words here. I'm just really, really excited to show you guys some of this here. so what we're looking at right now here is Google data. we're looking at Google data. from this from this month, we can see that our CPA was 1370. but if I didn't know this number here- this is our new customer CPA- I would not have nearly as good of a grasp on what's going on, and so I can always see this column here and what the new customer CPA ends up being. we can see our average is 83.59. obviously, we'd love to get that down a little bit more. um, uh. we can see the amount of sessions that were created from this spend here, and then we can also see what, uh, what triple whales saying our return on ad spend is, and what triple whales saying are about purchases that came from Google are as well. let's go over to the Facebook side of things. actually, I'm just going to show you the entire attribution settings here, because this is what's really really cool and I love seeing this visualization. so, if you guys can see, right here, I can see what the overlap between Facebook and Google is, which is just incredible. the one problem that that I'm sure you're seeing. you're like, oh, why aren't you scaling up Google ads even more? yes, yes, we are, but at the same time, Facebook, uh- and you know the metaplatform from- does contribute a lot to Google being that big right. A lot of times, this is where Discovery happens and then this is where conversions happen. so that's, that's a little bit of the reason why, um, why there's the discrepancy there, um, so I can also see every single customer Journey, which is just incredible. so let's take a look at, uh, this customer right here. let's take a look at what they have done here, so we can see from a Facebook ad. they came in on Kindred surprise pre-sale October 2022 campaign. they went there, they went to their cart, they went to their cart, they put this and they added this into their cart. they visited their card again, they went back to collections all and that was their purchase. so they ended up purchasing three of these items here and we can see the entire Journey. um, there's ones also where they've been in the, the funnel for literally weeks and they'll see a Google ad and they'll see a Facebook ad and you can really see how they're interacting with email and and everything, absolutely everything. I'm going to show you guys this all uh data here as well. so this is really interesting. we can see, from organic and social uh, where things are coming from. so here, um, obviously, new customer uh CPA is irrelevant here, but we can see all over all what that's done is brought our uh new customer CPA down to 58, which I'm really really happy with, especially with a brand like this that has a customer lifetime value of almost 500. I'm super, super happy with that. now we can see where some of these purchases are happening. we can see our return on ad spend on Facebook is 4.04, as far as what triple whale uh is saying. we can see our regular CPA is 65.90 and 1622 is the CPA here, and we can see our overall CPA is 749, with Organic and all of this included. so this kind of data is just phenomenal to have. let's dig right into Facebook now, and this is using the, the triple pixel, we can now start to see the massive discrepancy between Facebook's data and triple whales data. right now- remember, I always like to layer in no Commerce data in there as well, right, so post purchase survey data: why did you buy today? why did you buy again today? where did you hear about us? where else have you heard about us? all of those questions are incredibly good to put in here and luckily there is an integration with triple whale. so let's take a quick Gander here and see the massive difference in return on ad spend between some of these here. so we can see: uh, this here, uh is 5.08 a return on ad spent. uh, here it's a 3.38. so Triple L is actually saying, nah, Facebook might have got a few things wrong. here. we can see that the CPA is pretty darn high at 150- 55.. again, this is probably not a campaign I want to turn off um, just because it does seem to actually be performing Pretty decently. yes, these are not CPM members that I love, but when we look at the Blended CPA of 6590, I'm pret.

Everything That Changed In My Business After I Started Using TripleWhale

if you're new to the channel, you may not have seen my triple well review video that i posted three months ago, so i strongly advise that you watch this video first, but if you're a channel regular, then i want to share with you what is my opinion now, three months later and six months in total after starting to use triple well. what has changed? what has stayed the same? and let me tell you there's a couple things that changed since my last video, so stay tuned. my name is justin, now the founder of voizo media, an e-commerce marketing agency specializing in elevating thriving brands by simplifying e-commerce growth. before we get started, make sure to leave a like, subscribe, as well as turn on post notifications to be on the first to know about these cutting-edge ecommerce marketing tips post on the channel every week. so we find ourselves back in the triple well dashboard. so it feels familiar, right. so, looking at the dashboard right here. something that we started doing differently in this past three month period is we've added google ads for that client. so looking at google ads and let's just widen the targeting pool to, let's say, the past 30 days. results not been very good, from what seems to be appearing again on triple well. so take a look at google analytiks. actually, we can see that results are indeed pretty good, right for the amount of total ad spend. um, first of all, you're going to notike two campaigns being kind of separated, because we just simply changed the campaign name and it split the campaigns into two: on google analytiks and triple well, so there is, in total, 605 dollars spent across all the campaigns that we ran, for a little over 1600 in revenue right there. but if you're looking at triple well, we've tried and double checked that, triple check that. um, everything has been set up properly and we're not seeing the same things over here. we're seeing the same total ad spin, but far from seeing the same results, and whatever is actually being reported in the google analytiks column is also far off from what we're seeing on google analytiks, and so is the overall roast that we're seeing attributed on triple well. so, in our own experience, google ads has not been accurate whatsoever so far on triple well. facebook, though, has still been holding up pretty good overall. but there is a caveat and something that started happening within the past 30 days or so. essentially, we're running ads in a few different funnels that lead clients to a specific url. that is nowhere. you know it's nowhere to be found on the client's website. it's not a public url. it can only be found essentially from the ads that we're running. so that allows us to also have this alternative source of tracking our ads. so you're gonna notike here that we've been manually writing down all of the sales that are missing essentially on triple l over the past, you know, 30 days or so, and we started seeing that happening essentially on the monday, april 18th. so it's been a little less than a month at the time of recording this video that we've seen this issue started happening and we're literally double checking it every single day. we're checking the days prior and seeing how the campaign's performed and looking at, you know, sales attributed essentially on these very specific urls again on the shopify site that can only come from ads. so we're seeing a lot of sales here that are missing every single day, like here: 168, 87, 243, 211 and, as you can see, it's been happening pretty consistently over the past month. so i'm not going to sit here and say that you know, triple is not working at all anymore for us, but we've definitely seen a decline over the past month and how accurate it's been in terms of overall reporting we've for our retargeting campaigns and all of our more generic campaigns that are not funnels, stats seem to be pretty good. honestly, from what is being reported back on chippewa- it's more or less again from what comes from these specific ad funnels that were running on cold audiences- that there seems to be a big discrepancy between what we're seeing again reported back on their platform versus what we're seeing on our end. all the null and overall triple wall is still showing, for the most part, for most campaigns, better results being attributed on their platform versus what we're seeing being attributed back on facebook. so that's good, but nonetheless, again, we're still seeing a couple sales that are missing. also, very oddly, recently we've been started to see pinterest um as an ad source that keeps popping up, you know, every day or so. um, basically, we we're going to see it once in a blue moon pop-up as an ad source for sales. um, and you know, truth is we're not actually doing any pinterest ads whatsoever for that client. they're not even on pictures. so that is again a little bit of an odd case that we started seeing happening with this. like there's no pictures involved at all within the picture, so we don't know how. you know how in the world these sales could be actually back to pinterest. with that said, i kind of started with what seemed to be a lot of negative feedback, but everything else, everything that we've shared in our initial video, still stands again. we are seeing better attribution on triple wall than what we're seeing on facebook. that is a no-brainer, that is a 100 fact, though we're seeing again a slight discrepancy between what triple reports and what should actually be reported back based on our funnel stats. so choose this. triple is reporting better than facebook is, but it probably is actually a little better than what triple l is reporting in this case. one thing that we're still utilizing also is the customary journey allowing us to kind of see how many touch points it takes before people converts, um, what you know, what platforms they convert from, mainly to kind of put the the budget on the platforms that work best. and we're also still actively utilizing the creative dashboard. so we're using this, you know, to know what actual ad creatives work best and others kind of helps us also put our efforts on there. so, nonetheless, we're still finding again that chippewa is much better than facebook is at attributing. we're still using triple when it comes to taking ad decisions and seeing what should we optimize on the ads. um, it's still again a very good way for us to tell that we'd highly recommend- i still highly recommend- for anybody out there who is putting a significant amount on advertising spends on a daily basis. so triple what comes down to about, you know, 265 to 300 a month, depending. again if you go in with a discount or not. you're gonna find in the description down below a link to a 15 discount if you want to sign up to triple while through our link. but nonetheless, we're recommending it for anybody who's spending about 200 a day, because it's about an extra day of ad spend per month or so and gives you much better data and much better results overall than what facebook, google, pinches or any singular ad platform would tell you. also, now that we've added another ad channel with that client, which is google, we've started seeing for the first time overlaps essentially within that channel, so really seeing you know what sales were actually attributed to both ad channels simultaneously, which is the thing that we were already seeing essentially with their uh retention efforts, which was, you know, from cleveland postscript. you could already see that. you know, within the past month, there's about 17 percent overlap, which is quite significant when you think about it. it's that about, you know, one out of six people or so that see uh, that receive an email or an sms, also receive the other and get attributed to both sources. so, 30 months later and with a total of six month experience on chippewa, i would say that our journey, you know, has evolved quite a lot with the platform itself. so it started off pretty rockies. i shared in my past video where, for the first month or so, attribution was far from being accurate. then it became very, very accurate and a

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I Tried Triple Whale For 30 Days (MY THOUGHTS)

yo, what's going on guys? welcome back to the channel. my name is nick theriot. today i have an exciting video for you guys. today i'll be going over my triple well first impressions. i'm not really gonna say it's a review video yet. it's just more of my first impressions of triple well. i've been using it now for about 45 days and spent over five hundred thousand dollars testing triple well specifically as an attribution software for a variety of our clients and just want to give you guys my first impressions of this. so, that being said, hit that like button, hit that subscribe button for new videos every monday, wednesday and friday. that being said, let's dive into the video. [Applause]. [Music]. okay, so again, triple l first impressions, because again, um, i've only been using it for a month now. i really want to do a full review, detailed review once, a little bit further down the line, and also, too, um, i kind of messed up a little bit. i actually uploaded this triple l video probably about a a week ago- not really sure when you guys be seeing this- and i actually have to turn it off right away because i didn't realize how much data was leaked by a partikular client inside of it. so after it went live for like an hour or two. so, yeah, that's why i'm basically recreating this and i'm just going to go through a slideshow. it's a little bit easier because there was a lot. it's hard to blur out and triple. well, when you're actually using the software, i'm just gonna do a standard kind of slideshow, some screenshots- i've already kind of uh, cut up to where you can't see since- of that in that sense, right there. so, that being said, first impressions. we start using it mid april may. we completely use it as an attribution tool for our ecommerce clients that are using shopify. spent over five hundred thousand dollars testing it in may. um, that's divided across eight different accounts. so i'm spending 100k plus per month and some spending 10k per month. so there's definitely a variety of different clients in there. wasn't all big clients, wasn't all small clients. it's a good, you know good- mix: a big spin and low spin. and again, um, this is not an ad, this is not a paid video. uh, tripwell has no affiliation with me or anything like that. uh, this is just a raw video of my first impressions of triple l. so, again, just to show you right here, i spent about 521 thousand dollars, um, in the month of may and triple offers this really cool uh tool to where, if you're an agency like us, we work with a lot of different clients. uh, we can actually take all those accounts and see it from a pod perspective, so we can have one page, all your accounts on it, and also it shows blended, which is all of them together, um, and so far for maybe about 521 000- 1.4 million dollars in revenue, 2.78 broad, so 36 mer, um, about 367 uh net profit. so just to show you that from that perspective as well, just you know, showing you what triple showing for all of our accounts put together, yeah, and just answer that question is what the heck is triple l? so, first off, triple l is a data reporting tool for shopify stores and it also has attribution capabilities that allow you to get a better picture on ios 14 under reporting or over reporting. so basically, all the people out there who are having issues with facebook having bad reporting, this is the tool for you. that's why we came to it, purely for the attribution capabilities where, like, facebook was showing up five extra hours on an ad and it was actually getting a 1x, and then facebook was showing a 0.3 x on an ad and a triple showing like a 5x. so basically i just needed a new source of truth to be able to um make decisions in the ad account and i was using wicked reports. didn't try hiros at all yet, but triple is the next best thing due to its pricing point of what it came in at 300 per month. so if you go look at triple, well, you'll see that they have multiple different plans. um, it's basically just two plans. there's 100 one and a 300 one for people doing less than a million dollars a year, and so for 300 bucks you can get the um, the reporting, and you can all get the attribution. you must get the attribution to use the attribution as easy. so i can say it. a lot of people message me saying: hey, nick, do i do 100, 300 bucks? i see 100 reporting too. i'm like: no, you can't do 100 one because this does not include the attribution or triple pixel, which gives you that attribution that you would like to see post you know ios 14.5. so you have to get triple l plus attribution 100 some off. i mean, it's basically just a glorified piece of reporting software. that's it. attribution allows you to actually see the people that, convert it, post 14.5 and get that more realistik data perspective on your business. so when it comes on the facebook outside, so yeah, and obviously there's different ranges based off how much you're making: one to five million dollars a year, five to ten million, ten to fifteen, fifteen to twenty, twenty million plus should be different. um, you know pricing points. so again, you're gonna need triple l plus attribution in this perspective right here to be able to get um that triple a pixel, which we're gonna get to in a little bit. so, first things first. um, all of your data in one place, which is a beautiful thing. so, right, when you open up triple, this is kind of like the summary page, the main page that everyone's on, and on this summary page, right here, you can see, obviously you can do like your time range with the one may. right here as a whole, you can see how much was spent on ads. these are like these are a pin thing, so, like it's different metrics you want to pin up, you can. this is overall triple stature here, how much profit the business did. the cool thing about this is that it, when it pulls that profit metric, is it takes the total expenses from ads, total expenses from shipping, total expenses from shopify, processing fees, total expenses from refunds, total expenses from cogs, your cost of goods, so like it gives you the most accurate net profit, not not? oh, okay, that's the profit before you know you take out cox or before you take out shipping. that's like everything's taken out as much as possible. don't think that's not included in here is like your payroll for your staff and your overhead when it comes like warehouse space and things like that. so that's the only thing that um it is missing in that perspective right there, but there is a way to add it just again, just to show you what that number is, that how that net profits calculated. see, you know, you see your robas and that's that's your overall row as 2.71 um. when it comes down to like you can see total about spin on ads right here, you know, like you see all this stuff right here, just right on top, boom. so that's what's a really cool thing. and obviously, as you scroll down here, you can start to see um like this whole page scrolls down and you can start to see stuff like shopify reporting, shopify reporting- really cool, so you can see, you know, on a day-to-day basis, monthly, yearly, whatever time range you select. in that perspective, we did 90 000 in sales basically for this brand. uh, in may- and you know you can see all right, cool 90 grand spent, 32 000 2.75 robots. you see all that good stuff. you can see how much was in refunds, taxes, average order value, your cpa, your cost per acquisition, how much you spent to acquire x amount of you know, new customers- now perspective right there. or customers in general, um, new customers, the percentage of revenue from new customers and percentage of revenue from old customers, which is really cool to see as well- and new customer revenue, returning customer revenue, like all. this is just some really cool metrics right there that immediately just boom pops up for you. then, as you scroll further down, you'll see individual channel reporting in that sense right there. uh, so we have facebook ads right here. we have google ads, so we have those different channels- that perspective right there- that are also being displayed. so it's really cool. just have all that in one place. you click t.

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Triple Whale Benchmarks - Whale Webinar #01

boy do. i have a screamer of a launch for you today. so we just finalized launching our benchmarks. so if you want to play without wrong with them today, just go to customize summary. you're going to scroll down to. you see benchmarks, hit this plus sign here and then, boom, they're in your dashboard. how cool. so you're going to be able to see a ton of things here. so you're going to be able to see cpms, click through rates, cost per clicks, new customer os, blended roads and new customer cpa. you'll also be able to drill down by industry so you can choose whatever industry- excuse me, aov, segments, and then how much you're spending per month. what's really also cool about this is this is being extrapolated from an incredibly large data set. so last 12 months, we have tracked 140 million orders across 2.2 billion dollars worth of ad spend, which equates to around 12 billion in gross merchant volume. i mean, we're toking some numbers here, people even more. so what you can do is pin these metrics to easily compare right here to what your account is producing. so if you scroll down to your pin section or wherever your pin section is located- mine's located at the bottom of my dashboard- i can easily see my benchmarks compared to the account average. so here's my peer account average and then the actual road. so i can, even because of our fancy drag and drop, just have everything in a nice order so i can have account and then benchmark, account, benchmark- let's do account benchmark, amazing. so what we're seeing here is: the account is producing 11.17 blended roas. the benchmark for this industry is about 3.27- smashing it. the account is producing 3.72 nc roads. the benchmark for this industry 1.78- smashing it again. new customer: cpa: 43, 37 is the benchmark, not so much smashing it, but in the neighborhood 100 or a dollar. 34 for the cpc on facebook, about 92 cents for the industry. cpms are a little high. so facebook, the account is generating 21 cpms. uh, the industry is going to be around 14. finally, your click-through rate: pretty on par, a little bit better than benchmark. really cool, really cool data here. really awesome to be able to see if what you're generating is going against the macro headwinds. you can again see your industry, you can see your spend, you can see your aovs. really incredible stuff. we wanted to get this out to you guys and put it in your hands. we want to know what metrics you want to build. we'll also be just really iterating on this. we think it's a really valuable piece of data to honestly know exactly where you're at in comparison to your industry, your aovs and your spend rate. so it's in your account right now. just hit that cog, the plus sign, start playing around with your benchmarks. i hope you enjoy it. it was a lot of work, it's a huge data set and we'll just keep iterating to make sure you guys are getting the most value of triple. thanks again for watching.

Triple Whale - Walk Through (Demo)

okay, hey guys. um, max blank here from triple whale, one of the co-founders of triple whale, just wanted to take the opportunity here to do a quick walk through. i hope that this can answer some questions for you. um, if you have any other questions, you can always reach me at max m a x x triple whale dot com and, without further ado, i will walk you through the app. so, once you've received your link to actually access triple lcom, you'll go to integrate, uh, you'll be prompted to basically integrate with shopify. uh, once you integrate with shopify, um, you're gonna wanna come down to, you'll be, you'll be sent to a, uh, the summary page right here, and then you're going to want to go right to integrations and then start connecting your different accounts. so, um, connect your facebook account, your google account, gorgios clavio, snapchat and tiktok. more integrations are right around the corner. google, if you connect your google analytiks account, we will pull your ads from google analytiks. so it should be a one stop, one and done for both things. you know you're going to want to make sure you also visit our apps and extensions. we have an android app and an ios app, as well as a few chrome extensions which are very helpful. chrome extension actually brings the the summary section into your shopify store, both on the live section and on the home, the home screen. we also bring in the summary section into your facebook ads manager, which is pretty helpful as well. let me jump back into the summary section. so, once you've integrated everything well, we then recreate your, your data in these modules. right here you have a pin section. this is basically me grabbing through all the different modules- which we'll work through pretty soon- and pinning up the key stats that i want to keep an eye on being an owner operator. so let's walk through this quickly. these are inferred stats. these are some stats that we pull as a business, that we, as as the app creators that we feel um are necessary to display here. so here we have your net profit. you've got your blended roas here. so from facebook, from google ads, tik tok and snapchat, here's your mer, your marketing efficiency ratio, very similar to blended roads, but just expressed a percentage. here's the cpa costs. blended cpa costs, your net margin revenue per session, your amount of returns on your store, how many returns you have your actual ad spends right here, and then you can click into it and see the breakdown per platform, the new customer cpa as well, and, if you want, if you want to understand how these things are working, you can just hover over these question marks. uh, google ads: here we have how much you're spending on google ads. we have your row as your cpa conversion value from the google ads sales- right, we have sales right here from shopify: the amount of orders, the refunds, your taxes. this is aov from shopify, which is not as reliable as the google aov, so i always revert to the google aov. if i don't want to see this, i could just go right here, reorder title tiles and i could move that. and now that's gone. um, very helpful to see your new customer versus returning customer. we also have your facebook ads right here and you can bring in a few more tiles as well if you want to see more things from facebook. uh, we're not an attribution platform. we're simply just centralizing data and pulling directly from the api, displaying it here to make things easier for you, so you can save time. google analytiks bounce rates, the amount of sessions, conversion rate, your aov. this is much more accurate than you know- the 30 aov from the shopify reports. we also have clavio right here. we have a few more eps coming, or esps- sorry, email service providers- coming um, very soon. right now, we both claim you revenue from flows, percentage revenue from flows. you know just a lot of very cool stats that you need to know to run a day to day. here's our expenses. so we have payment gateways, cogs, handling fees, shipping costs and then custom spends. this is basically how much you're spending every day on overhead. so if you have staff, uh, agency costs, software costs, all that- this is all over just a one day period. this, um, okay, great. so that's that, um, again, i pinned certain things up here which is really, really helpful, and i can kind of show you how this looks on mobile, just like that. you can also like go in here and you can customize what you want to see. so we have a few other things i forgot to show you guys here. uh, let me go back now add a few more sections there. so here is your inventory: how much inventory you have. we're tracking that gorgeous- how many tikets you know. this helps to just get a bird's eye view on what's going on tik-tok snapchat. then we also have a reporting section here which is getting upgraded as we speak, um, but you can basically go into reporting: uh, title your report, grab what you want to report and the frequencies in which you want to send the reports out. this is very fun. this, this is a, a calculator, um, and this calculator allows you to manipulate your data over what period of time you want to do it on. so we do 55 aov. what would that do to your bottom line if you were able to get your conversion rate up as well? let's see the 3.5 where we at 182.. oops, um, yeah, and then you can also set goals based off of what you just said over there. uh, we do have an ltv section here, um, which we're actually we're gonna be having an update very soon, um, but right now, these are just cohorts. you can see, you know, month one, month two, month three, how many are stiking, how many, uh, how many dollars are stiking around, or how many orders really, um, a trend graph. here's our facebook section here, which is pulling your facebook data. give it a second here. yeah, so we are pulling in your facebook ads. very cool, very exciting. um, we also have google, a google dashboard right here, google ads, google analytiks, sources. let's cover it in a second. utms by source by medium. here is your traffic source today: uh, campaigns, page load times. here's clavio: um, here we have your last 50 campaigns you can check out and then we can jump down the expenses size. so the expenses section. here you can actually put your cost of goods as a percentage. if you don't know it, um, here's a handling fee that you can assign to everything. if you have cost of goods already syncing with shopify, we'll pull that by default. if not, you do have the ability to export our csv template, re-import the csv template with your costs. shipping right now is done per country manually. then we'll assign it to the order. payment gateways is done manually as well. and then here's custom spends. you can add a fixed cost with a start date and making it reoccurring could also do a metric based cost. so let's say you do have an agency. let's set the metric here: sales. let's just say the metric is: uh, ad spend. say it's ten percent of the ad spend and it started on the first. you can get that and then it'll add it to your fixed cost section. um, yeah, that's it. if you guys have any questions, again reach out. hope this was helpful and to your success.

The #1 Solution For Facebook Ads Attribution In 2022 - Triple Whale

so this is going to be a video you'll want to watch if you've been struggling with attribution since ios 14's launched last year. as a marketing agency owner, i've tried literally all solutions so you wouldn't have to. i wanted to find the best way to track our ecommerce brand's result to ensure accurate reporting on both ends. this is when i came across triple well, a new and upcoming software company specializing in e-commerce reporting. they refer to their platform as the e-com os, so a tool that centralizes everything regarding your shopify store. in this week's video, i'll be doing a tutorial on how to use and set up triple well for your shopify store and sharing my honest opinion after over a month of using that platform for our clients. my name is justin and i'm the founder of wizzle media, an ecommerce marketing agency specializing in elevating thriving brands by simplifying e-commerce growth. before we get started, make sure to leave a like, subscribe, as well as turn on post notifications to be one of the first to know about these cutting-edge e-commerce marketing tips post on the channel every week. so if you end up going on the triple well website, it's pretty much what you're gonna see right here, so i'm just gonna do a small sort of walkthrough of the overall slide that they have going on. you know explain a little bit how this works before i walk you through a live account of one of our clients. so triple well offers many different ad platforms at the moment, so you can basically track facebook ads, pinterest ads, tiktok ads, i think. also you can track snapchat, if i'm not mistaken, so we'll get into that in a second, and you can also do clavio. it also works with other avenues, like we have postscript tracking as an example for one of our clients that does postscript for sms. so all that to say that all of your platforms are within the same space. so would you be using it? there's basically two ways for you to use a platform and, as you can see here at the top, there basically is, uh, two things. there's their dashboard and their pixel dashboard as a whole is great. i recommend the dashboard for literally every brand, whatever point you are in your journey. would you be just starting out or would you be very advanced? their dashboard is great because every single tools that you're using again will be just shopify, because if you, you would be using it just for shopify reporting. it's this good, like you have literally all of your metrics shown within. that would be for cost of goods to orders, like. everything is very well laid out. the ui and ux is just great with triple well, so it's great for shopify reporting overall, but also if you're using any other apps, and if you're using any other apps like facebook or google, then this is where i recommend you use the triple well pixel. that's mainly what i'm going to focus on today is their pixel, because this is what they use to provide accurate attribution with platforms again like facebook, google, tiktok, pinterest. so here we go. this is a client's account. this is a dashboard, like when you sign up to triple well. this is what you see. to sign up, actually, you just want to go back to the website that i showed you earlier. click gets started and then from there, essentially you pick the right plan for you. if you go to pricing, actually right now it's basically 100 a month if you're just using the dashboard and it's 300 a month if you're using the dashboard and the pixel, and that's if you're making less than a million dollar a year in rev. if you're making more than that, then the pricing goes up because there's more conversions, events, you know, tracking to set up on their app. so this said essentially for that client right there. this is what we see. so you can basically customize the summary page here at the top. this is your dashboard. you can customize that. you can do whatever you want with it. you can basically have different uh stats shown here. we left it at the default view right there. so basically what we see is the overall row asset across all platforms and channels for today. so today so far, you know, as of 10 am, it's 2.03 for that clients. um, and then what you can also do is refresh that data. but here at the top, uh, actually you can pick the right currency, for that coin is in us. but it's also very great because for anybody international, you know, we have clients in uh- canadian dollars, we have clients in euros in panels in us, so it's very good for us to be able to pivot between these different currencies. so at any point you can refresh the data at the top right. so, as you can see, right now, row has dropped since i refreshed it, so i hadn't refreshed it in a couple of minutes. as we can see, it's probably been more ad spends, less conversions since the last time that it was refreshed. so where i want to bring your attention now is the pixel. it's the attribution part of things. this is where things are actually uh being, you know, reported. this is where you see the most accurate reporting. so, as you can see, right now there's a little uh word from their dev team. apparently they have a little bug on going at the time of recording this video, but nonetheless, let me show you a little bit how this works. so right now, what you can see is all the campaigns that are currently running today. you're gonna see them appearing here on the left. so this is all only for facebook, because for that client, we're only running facebook at this moment. so here you see, facebook campaigns, the facebook spend, you know, facebook raw ass. then this is the google analytiks roast and this is anything that has this little logo. right there is the triple well stats. so, to give you an example, looking at this top campaign here, it's zero across the board. you know there's. there's apparently no conversions across any channels. looking at the second one, right there, that's where you can see some uh difference. you know, being attributed, there's 5.4 row, as on facebook, nothing reported on google analytiks and triple well says there's nothing. and then, looking at that third campaign, right there says zero on facebook, but, uh, google analytiks actually says 2.2 and, funny enough, triple well says 4.3. so that's where you can see a big discrepancy in data. and then the last one right there says 3.2 on facebook, 2.02 on um on google analytiks, and same thing as google analytiks is being matched with triple well- 2.02 in this case. so now i'm going to pick a wider time frame. i'm gonna go seven days, because this is where we're gonna be able to see some more data shown right there. so when it comes to the last seven days, this is really where you can start seeing the discrepancy in data. this is where you can actually start seeing how the data changes a lot from facebook to google analytiks, to what triple well reports. so i'm gonna preface this by saying that at this point it's been about three weeks since we installed that triple l pixel on for that client and triple l is currently telling us that it takes a little over a month for it to start being accurate for your brand. so in the meantime, we can use the reporting tools, we can use a lot of things on triple well to help us with that data, but we cannot simply look at the roast, uh, reported back on triple l because it's not yet 100 accurate. we know that because, especially for the campaigns that we're running right now, we're actually using discount codes. so if people use that offer, we can very- you know, very- easily see it, see that reported in the purchases. and when we see that reported in the purchases, we've seen more than one purchase where the discount code was actually applied on that purchase but that purchase was never reported back to facebook. because the beauty with triple is that any of these orders here that you see to the left, you can actually click on the roast and then it'll show you all the conversions that are showing up on shopify and basically you can click on the customer name and see the detail you know of all the order, all of their customer journey, how they went essentially.