Grow Ecom Store to Millions in 3 Simple Steps with PickFu

Speaker A: All right, what's up, what's up everyone? Jason Flegel here. I am very excited about this exclusive conversation with one of the brand evangelists over at Pickfu. Uh, we've got John Aspinall, uh, here with us today and Pickfu is a really awesome company. I'm very excited to kind of dive into this a little bit deeper with John. Uh, John is, uh, according to his LinkedIn, says that he helps businesses make data driven decisions to optimize their product listings and marketing strategies on Amazon. John, I also noticed on the Pickfu website that you guys do other kind of polling, uh, and features outside of the just the specific Amazon and E Comm kind of space. So I'm excited to dive into that too. Um, but I also saw that you have a few patents to your name too, which is pretty exciting. Uh, and then yeah, you recently uh, connected with one of my mutual connections, Kevin King, uh, on your own, uh, the Pickfu podcast. So uh, for all of our listeners or if you're watching the YouTube video, um, please go ahead and check out the Pick Fu podcast too. Uh, and then, yeah, uh, John, it says that you are a self described notion addict, which is pretty, pretty funny. Uh, but yeah, John, thank you, welcome. Uh, and if you don't mind, could you give a little bit more of the background story, uh, from any kind of the gaps that I might have missed out just to get the conversation started.

Speaker B: Um, totally, totally Jason, I appreciate you for having me. Um, I've been in the E comm, um, space probably pushing about 15 or 16 plus years right now. I've done everything from way back in the day selling on Amazon, selling on ebay myself from a dorm room in college all the way through working for manufacturers and working with resellers, working on daily deal websites, um, working for brands, working for marketplaces, all that kind of good stuff. Most recently in the past couple years I've worked at full service Amazon, uh, management agencies, um, and then since made the transition over to Pickfu which is a breath of fresh air because I'm on the side of things where I'm very Switzerland. I can help everyone and anyone and I don't have to pitch too much about Buy, Buy, Buy. So it's a, it's a, definitely a fun um, change of pace for sure.

Speaker A: How did you get into like. So you were very heavily in the E commerce space. But what, where did that kind of transition or introduction to Pickfu come from? I'm um, curious on that kind of part of your journey, John.

Speaker B: So It's a little interesting. So there was a gap, um, in my E comm, um, journey, I'll say here in New York City, uh, it's going to pivot a little bit, but it gets interesting. Trust, stay with me. Um, in New York City, there's a big thing of working for the city. So everyone's either a fireman, a police officer, sanitation worker. These are jobs that pay six figures, figures a year. So at a point I was like, huh, let me go for a city job. So I went for a city job and it's not on my LinkedIn because super polarizing. And I kind of removed it from that. I've, uh, uh, edited it, redacted it. Um, but for a period of about four years, I worked as a corrections officer on Rikers island here in New York City, which is, oh, yeah, ah, like a max security, you know, jail. And um, it came a point after the pandemic where I was, My wife and I were having our third child and a friend of mine that worked at an agency that I wound up going to work at tapped me on the shoulder and said, hey, do you want to get back into this space? And I thought, my wife's pregnant, I could take some time off, uh, you know, childcare leave, still have that job there. If I ever decide to go back to it, work from home, do something I love, why not? Went to go work for that agency, never went back to corrections. Um, from that agency. I wound up going to another, uh, you know, leading agency in the space. Um, and then while I was at that agency, um, I really focused in and honed in on my LinkedIn presence through the help of the CEO and the rest of the team. We kind of strategized about what's my message, what's my talking point. So I really honed in on ctr, main image refresh, main image hacks, how to make more without spending more. Um, so that was really a lot of my talk track with everything that I did on the LinkedIn platform, which is a powerful platform, as you probably know. Uh, and then from there, um, connected with pickboo and use pickboo a ton of times during my talk tracks, during my posts. And eventually the opportunity came where I was looking and they were looking, and it was, I hate the word, but

Speaker A: synergy, and the rest is, uh, history. And that's why we're talking today. John. Well, speaking of, like using it even on your own LinkedIn, can you tell, um, uh, our listeners and the watchers too, like, what is pickfu what are some of the like key features and the tools that they can get from using the tool that the system.

Speaker B: Yeah. So pickfu, for most folks in the E comm space, think of it as just an E comm, A B split testing tool. PickFu is a tool to decide anything. So it's basically giving you almost instant consumer research results. So for example, if you're in the E comm space, forget about just Amazon, if you're on Walmart, if you're on Instacart as a grocery, if you're on, if it's your Shopify site, which is the best brand logo to go with this or that? Uh, here's my brand logo, here are three of my top competitors brand logos. Which one would you prefer and why? And then what happens is the pick through panelists are going to give you a laundry list of why they would pick it or why they wouldn't pick it. And this is giving you the data driven research and the responses for you to act upon before. So test before you invest, right? So before you launch a logo, launch a brand, launch a product on Amazon, source a product from Alibaba or wherever it all spend thousands of dollars before you do all this and then learn the hard way. Like my 9 year old son, I tell him all the time you have to learn the hard way. I don't know why you have to learn the hard way, but you have to just learn the hard way for you. Just that that's how he is. Don't be like my 9 year old son, don't learn the hard way. Get the information before you purchase. So for example, um, if you wanted to go into the ice cream scooper space, don't go into that space, it's super crowded. But if you wanted to go into that space, you could take the picture from your manufacturer, put it on pickfu, run an individual poll to see what do you like about this product? Would you purchase this product on Amazon and how much would you pay for it? And you get a laundry list of 15 to 30 to 50 responses saying yes, I would buy this, here's how much I would pay to let you know what the kind of price point you can command is. And then if some people say I like it but I'd rather it in this color or I'd like it but I'd rather it in this feature, I'd pay more for this feature. Then before you purchase the one that no one really wants, you can pivot and source the one that people want. And the journey for Split testing doesn't or just overall testing doesn't stop with before you launch. So there's three ways to test before, during and after. So you're testing before to make sure for product validation, you're testing during to ensure that you're keeping up with the Joneses on the Amazon serp, the search engine result page, that your main images coming across isn't compelling. And then after. If you're looking to sunset that product in E Comm.

Speaker A: Right.

Speaker B: Should I sunset it for this? Is this, this my legacy product versus the newer version out there? Which would you purchase? And more people would purchase the new one, you know, to sunset that one and not re up on the inventory for that. So it's a really powerful tool. But we're just talking about E Comm. We work with publishers for book covers, for blurbs, for, you know, graphics. We work with video game developers on characters, on, you know, mobile app icons. Literally you could go to a bar and look for two people that are having a disagreement and be like, I think this is better. I think this is better. Just walk up with your, with your iPhone, just like, let's pick food man. And then within like uh, minutes you'll have the answer from your core customer demographic. And that's the good thing too. So you can have 90 plus demographic traits to drill down to. So Jason, if you're selling uh, ice cream scoop and your avatar, your ICP is women. Let's say you don't care about what guys are saying because you don't want to hear their feedback because it's not for them. So specifically you could tailor it to Amazon prime members better when they're. And then um, that's. Maybe they go to the gym, maybe they're from the northeast and you can have a really tailored, uh, consumer data driven feedback.

Speaker A: That's awesome. So you have like the list but in, in the back end of Pickfu when you are using the account, you can kind of pick and choose that targeted demographic and then you guys send that out to that particular audience or kind of. How. How does that experience? Experience, John? Say I'm a business, uh, owner in one of my own E Comm stores. In the past I did um, Bluetooth headphones. So say I wanted to Target like women 30 to 45 years old like you said. I'll use your example. You know, they're prime members. M. So like if I wanted to use Pickfu to kind of. Yeah. Maybe do some a B testing on product images. Can you kind of walk me through? Yeah, like what that would look like on pickfu.

Speaker B: Yeah, so what happens is you would drill down in those character traits of, um, who you're looking to show it to. It would only get shown. The poll would only get shown to that demographic. M. So the more traits that you pick, if you're very broad and generalized with it, it literally comes back almost instantly because it's a wide pool of people. So about 15 minutes or so, if you start to drill down to more, um, specific demographics. Right? Because think about like this, it's a big pond of fish and if we start talking about size and color and this and that, it gets to be less and less. So it takes a little bit more time. But honestly, once you kind of do that, the responses that you're getting are specifically for your avatar. So, um, let's see if I could pull this up here. Hold on. I know audio listeners. It's not going to, it's not going to affect too much.

Speaker A: But, uh, well, if you are listening on audio, you got to go check out the video on the YouTube channel link in the, in the, uh, description.

Speaker B: So here's an example poll. Um, if you're shopping on Amazon, which product would you rather buy? This or this? So clearly they are looking to show the personalized designs and the other options that are here versus just the S. So this works more than a landslide. Right? Um, but it's, it's also important to note that just because, because I've been in the Amazon space for quite some time. Just because the pickfu winner, this option won for the pickfu doesn't mean it might always be best practice for Amazon. So if it's the main hero image, Amazon might not allow you to say personalized designs with floating text in the ether, kind of like that. So again, just be cognizant of. Just because the pickfu won. And I have a lot of examples I can show. But when you come down here, you have the responses and you could see the age range, the income and everything, the reason why they like this. So B shows many options not found on A. I can run the demographic reports here and see how many people. So most folks here were 25 to 34 and they ran this poll generalized, right. So they didn't specify too many traits. But if I go down, take a look to something like this here, here's a good one.

Speaker A: That's interesting.

Speaker B: So shopping on Amazon, which floor lamp would you rather buy? So they're looking for product validation. So there's different styles of the lamps over here. Um, and they're just going very generalized. So not specifically. So 50 people, which is a little bit larger than, you know, typical 15 or 30, 34 minutes. So a little over half an hour. And you're getting solid consumer feedback.

Speaker A: So that's impressive.

Speaker B: Yeah, yeah. Looking at this, right? So you can see by landslide, 26 people, 26 respondents preferred this as their top choice. So Jason, imagine if you were sourcing these lamps, which don't look very cheap. Right. So if you're sourcing a container of lamps that probably landed, price per unit is, let's just say $15 to $20 a piece times a couple thousand and you buy the wrong color and no one's buying it. You just screwed up. Right. And that's a, that's not just a oops, that's a, uh, couple tens of thousands of dollars.

Speaker A: That's right, yeah.

Speaker B: And then you go down here. Yeah. And the cool thing is too, we have some AI highlights.

Speaker A: So I was literally just gonna ask you about that, John. Like what, how are you guys using AI? Because like, this is really rich data that you're getting. Yeah, I'm curious on. So, yeah, continue with the AI summary. But yeah, I'm curious on other ways you guys are now kind of integrating AI into the workflow.

Speaker B: Totally. So this is not an AI summary of just like what AI thinks. This is taking all of the respondents and the panelists, um, responses and aggregating them together here so you're able to get a high level summary about what everyone thinks. What I've been using this for is repurposing it in my own AI. So sometimes if I run a poll, I'll take this as opposed to kind of copy and pasting all the stuff down here. I'll take the high level AI summary like here and then I would parse it into ChatGPT, um, or Claude AI. That's my favorite one right now for LLMs. I'm a big fan of Claude. Oh, that's great. Yeah, yeah. And from this level I can kind of write, uh, whatever I need. I could say in AI, in ChatGPT or Claude. You know, write me a response to my manufacturer to let them know why we need to pivot from this design to that design or something like that. But the cool thing is too is this is the AI summary, but we have AI highlights over here, so there's AI sentiment. So it's going to tell you what they like, what they dislike about each one. And then you're able to get through AI labs. Natural language question, you get three prompts every 24 hours for free. So you can ask it something like, um, what reason did most people give as to why they don't like the colors? May take up to five minutes. But anyway, you get the point that you're able to give a natural language question to the AI. Oh, here we go. Perfect. Less than. It wasn't even 30 seconds, dude. Yeah, most people give. Yeah, most people who express dislike for certain colors mentioned they did not prefer the brass or gold tones in the lamps. Some, uh, mentioned that they found the brass or gold to be unappealing, outdated, or not fitting their personal style. So you can see here, I just. Maybe that was the only question that I had. I didn't need to go down the rabbit hole of this. Maybe I really just want to know, should I do the brass or gold? And I got my answer right, right away. Hey, Jason. I'm not going to be going with the brass or gold for this one. So it's just a lot of cool things that you can.

Speaker A: And yeah, you literally, John, just saved me potentially 10 to $20,000, you know, on placing that order of. Especially for, uh, yeah, the physical products. I'm curious on, um, do you have any examples, uh, with maybe getting into kind of other use cases? Um, a lot of my background personally and a lot of the clients I work with are, you know, in the thought leadership space or like online course place, uh, space. Uh, you know, do you have any examples of that on, you know, like, testing out digital products? I'm curious on that, John, if, uh, you know, Pick two works really well in that, uh, category too.

Speaker B: Yeah. So I, I don't have one kind of queued up per se, but what I can kind of show you is, um, bear with me, me a second here.

Speaker A: Yeah. And maybe while you're pulling that up, um, what is, um. Because obviously AI is huge in my own audience. And you know, on the podcast too, John, you'd, um, mentioned the, um, the AI summary, the AI highlights. But what are it maybe publicly that you can talk about. But you know, what are some other ways that you guys are kind of exploring, integrating AI into what you guys are doing with your own work flow.

Speaker B: So outside, I'm, uh, just being quite honest outside of, um, the AI summary and AI labs, the AI sentiment, that's really kind of where it wraps around. I think where the strong footing of pickfu comes is not integrating AI into the responses. They're real people. That's something that, you know, the AI is used as a tool in the Toolbox to kind of aggregate the real people answers and the real person kind of, um, feedback. So I think it's important to know that. So outside of just aggregating the data together, it's real people that are responding to these queries. Because, you know, when you're, when you're about to invest, when you're about to pivot from a brand you don't want, I could ask AI right now, what do you think, A, B or C? And it might give me like a, uh, generic kind of chatgpt answer. And then if I go based on that, that's not really my avatar, that's not really my ic and at the

Speaker A: end of the day, could still be a hallucination, you know.

Speaker B: Exactly.

Speaker A: Might not be accurate.

Speaker B: Oh, totally. I'm, um, just trying to pull this up here because I actually ran a, um, uh, pick foo. Of course, of course. My main frame. The main frame is down. Um, I actually, I'm, um, reaching out to a lot of thought leadership people and SNES in the LinkedIn space for branding. Um, because I've actually done um, a poll where it was, uh, we're gonna do a template for a Q A style thing for me to post on LinkedIn. Oh, here it is right here. So if you're browsing LinkedIn and this carousel came up on your feed, which would be more appealing to read. So even we use it for me to do something like this and I'm like, okay, I thought this was looking a little bit more appealing for popping up on your feed, but a lot more people like this one because it shows question and answer.

Speaker A: Yeah.

Speaker B: So even these great things, if you're a brand and brand awareness and posting on LinkedIn or posting all these places, if you would have went with this option, right. The option B, it's not going to resonate with your audience enough. And that the message, you know, it's not monetary money that you're losing, but it's time and effort that you're losing. And time is one thing you can't get back. Right. So how do you want to spend your time? Being more efficient or being less efficient?

Speaker A: Yeah, that's right. Wow, this is really powerful. I love that example. And again, if you are just tuning into the audio version, you definitely want to check out the video version of this because the uh, what John just shared on his screen and the examples is really, really powerful. I want to shift gears a little bit, John, to kind of go into like your opinion on, especially where E Com is going and kind of the future outlook. Because, um, I like I mentioned Kevin King was on your Pick Food podcast recently.

Speaker B: You know Kevin, he's actually, he's actually tomorrow is the first episode of the podcast.

Speaker A: Oh, nice. Okay, that's even better. So I listened to Kevin. Kevin is like an expert, you know, an E Comm expert, especially related to Amazon too. Um, we spoke together at the online seller cruise event. I learned so much just listening to him too. Um, and it was really interesting. This is in January of 2024. Uh, just to put a kind of timestamp on it. But you know, obviously a lot of things are changing around the world. Um, you know, a lot of kind of Amazon changes too. But yeah, I'm curious on just maybe in a few minutes, you know, where do you see E Comm going for the future? And is there ways that at Pickfu, how you guys are kind of like trying to adapt to that change?

Speaker B: Yeah, so it's definitely very interesting. So, and something that's on topic right now with, in the front of everyone's kind of mind because with Amazon and brands on Amazon, everyone's constantly complaining, Amazon fees are too high. Amazon fees are too high. Amazon advertising is so expensive. Where else can I diversify? So then that's when people start to venture out into the Walmarts of the world. They venture out to the Tick Tock shops, they venture out into other things I think as the landscape changes and grows. PickFu is your universal tool. And I hate the word universal because it sounds so not specific, but it truly is, um, I think a better version, better way to say it is your Swiss army knife. Because you know, if you pivot to diversifying on Walmart, Pickfu is there to help you tell you if this is a better image, this one or that one. Uh, if you diversify onto TikTok shop. One thing that we were talking about the other day in a marketing meeting was how can Pickfu be used for someone that sells on TikTok? Especially when you're, you're scrolling and your TikTok shop, I'm sure you've seen it Tick Tock, you get inundated with ads and all this other. Oh yeah, and the live stream that pops up. Well, here's the thing. Would you rather buy this pair of men's underwear from this UGC creator or this UGC creator? And then you can see that through a pickful poll, a simple AB poll, head to head poll. Your audience and your ICP would rather buy this men's underwear for. From this UGC creator. So before you invest a couple thousand dollars in UGC content and UGC creators, spend that money wisely. Another thing is we're finding a lot of people, um, that are in the consumable space. So if you're doing uh, cookies, crackers, you know, protein powders, mixes, drinks, just anything grocery, um, they're expanding further into things like Instacart, you know, grocery stores. One thing about Instacart, so Instacart. And there's another one. Why am I not thinking in my head right now? Um, shipped, shipped. Those um, platforms, if you look at them on the apps, there's merchandising points on there as well. So there's. You have a main image on Shipt and Instacart as well. So we're finding that these, um, partners are testing this. If you're buying groceries, would you prefer this image or this image? Because it has to be more compelling to see. Would I click on this can of marinara sauce or this can of marinara sauce? So all these different ways throughout the whole entire journey. Pickfu is there to help you. You can use Pickfu even if you didn't have a business and you were a college kid looking to submit a resume, get a job, and which headshot looks better, this one or this one for hiring? Right. So it's really a decision making tool. Well, you got to make the decision at the end of day yourself. But it's going to be that companion that's giving you that data driven research.

Speaker A: That's right, yeah. One of my um, heroes of life is Zig Ziglar. And uh, one of his famous quotes, John was always, um, uh, new information equals new decision. So I love that because what you're doing with Pickfu is like you're giving so much helpful data. Like number one, you're giving people access to an audience that's, you know, targeted to kind of their demographic and who they're going after. But then you're like asking them, prompting them with that information, getting real feedback. And now you've got that data that can help you make those informed decisions, which is like super powerful. I mean even me personally and almost selfishly I'm like, okay, we run a lot of, you know, paid advertising campaigns for different brands too. Like we like hole regularly our audience on like, oh, which creatives, you know, do they like better? But literally we can use Pickfu to go in there and now do a lot of those kind of ABC versions of the um, those uh, creatives and now add that right into the Testing. Yeah, that's like a super powerful example on like why I'm excited and I think why everyone else should be really excited too John, because like you said, it's, it's that um, helpful decision making tool. So I know we're kind of getting close to time here John. Um, and I've got just a few more questions but say um, I want to get kind of tactical because a lot of people, you know, that watch my YouTube channel and especially listen to the podcast too. Um, they're always looking for like step by step strategies or kind of tactics to grow. So for a new startup or for a company that's kind of looking to innovate with like a new product or a new service, what do you recommend on like using a uh, Pickfu? Like what, what would be a good kind of strategy to get them started? Because, and I'm also asking this for myself because like I want to get started with pickfu too John. But yeah, what is like maybe a step by step process for people who are tuning in, uh, to get started with pickfu.

Speaker B: So first thing is we offer coaching calls. So if someone is not sure about something, if they're, I don't know where I want to get started, I don't know what I want to source on Amazon, I don't know if this is viable, I don't know the strategy. You'd always book a coaching call with me. Uh, beyond that, uh, I just created a video recently that's going to be on our YouTube channel shortly. I'll share with the link with you afterwards. But it's understanding product validation. So I took a product from Alibaba, uh, I just put that one image. So it's basically an open ended poll. It's not this versus that. I said would you buy this product on Amazon? Uh, and how much would you pay for it? And I got a list of 30 responses saying it was a garlic press. Don't get in the garlic press space. It's super savage. Let's use it as an example. But basically I was showing the journey of pickfu is not a one and done type thing. You have to keep on iterating over and over again to make sure that you're making the best decision. So I took the image, I put it up there, I said, would, uh, you buy this product on Amazon? How much would you pay for it? People said yes I would, $10. No I won't. Looks cheap. Yes I would, $20. And then I aggregated all the responses together and I said, hm, a Lot of people would pay more if it had more features. So I went back onto Alibaba. I kept the same image because I source Alibaba stuff. Just, just for example, I don't buy just so.

Speaker A: Yeah, yeah, yeah.

Speaker B: But um, then I found another garlic press that had a cleaner and a garlic shell remover or something like that, which is the standard one that everyone's going for. Then I ran the second pickle. I said this or this. And then more people went with the one with the accessories on it and the different colors because that's what they like. So now I went from doing one with the garlic press. Do I want to get into the garlic press space? Okay. Um, I want to get into it. There's some viability there. Now which version am I going to go with? This or this? Okay, great. They like this style. The third poll that I would run is do you prefer black and white or multiple colors? Okay, you prefer black and white over multiple colors. Now I know which product I'm sourcing. The next step is creating my main Hero image and my image stack on Amazon. Now, Now I'm. Now that I'm. Now that I know that's what I'm sourcing and how, where I'm going with it. I'm having my in house designer or Fiverr, uh, or even Pickfu. We now actually do a done for you service where if you don't want to do the design yourself, if you want us to create your main Hero image, we'll do the main Hero image, we'll do your A plus content, we'll do your image deck, we do it all for you. But then that fourth, fifth and sixth poll is not really product validation but it's creative validation to making sure that your main Hero image is the best over your competition and then throughout the next journey. So you can see how it's not a one and done thing. You can see how it's a multiple phase thing. And even if you get to the final version, that's going to be amazing. In 45 days from now, in 60 days from now and 90 days from now, someone like me can come up and knock you out of the, out of the top rank with a better looking image. So it's always abc, always be tested.

Speaker A: Yeah, I love that super, super valuable information John there. I love the kind of step by step flow. So I with kind of getting to the uh, one of the final questions I want to ask about why you kind of see brands on Amazon failing. So uh, specifically to some of the challenges because uh, we, we started early on talking about like uh, brands, uh, that are happening, uh, or on Amazon. But there are things happening around the world that are like very challenging. Like you were saying, the Amazon fees, um, what are you, what do you think are some of the greatest challenges facing these brands that are trying to sell on Amazon? And then can you connect that to what you guys offer with Pickfu? I mean some of it I can already kind of assume, you know, the, the help there. But yeah, what do you see on uh, are some of, kind of the greatest like failure reasons on selling on Amazon and how can kind of pick through help. Yeah. Overcome those.

Speaker B: So there's some things Pickfu can help and there's some things Pickfu can. So one of the biggest reasons I see people failing on Amazon is they give up. That's the biggest. So what do I mean by when they give up? They, oh, the fees are so high. Oh, it's expensive. Oh, there's this, there's a long term storage fee, there's this fee fee. Um, the ads are going up. It's super expensive. I'm just gonna, I'm just gonna sell on Shopify, I'm gonna sell on Instagram and they fizzle out. Um, that's not something picture can help with. Right? That's you know, doubling, tripling down on the monster that's in the space. Um, yeah, there's some up and comers, but really no one's gonna be Goliath right now, which is Amazon. Um, so the way that I tell people to drown out the noise of uh, high fees and high ads is do more, more business. Most people don't like hearing that because they're like, well, I do more business, I got more ad sales and I more ad spend and more fees, more money, more problems. Right? The great song from the 90s. So, um, I think where Pickfu can help a lot of these people in the, in the space of why things are failing on Amazon is they don't have a good main hero image. Ctr, uh, click through rate is one of the most important things that you should be tracking on Amazon. Everyone says, uh, CTR conversions are better than CTRs. Of course conversions are better than CTRs, but you have to have a good CTR before you have a conversion.

Speaker A: Right?

Speaker B: It all starts with the click. Mahatma Gandhi said it best. It all starts with the click. He didn't say that. So, you know, understanding that your main hero image has to be very compelling has to be very, um, interesting. Has to, you know, just looking Overall, and that's another thing you want to pick through as well. You know, testing your main image against your competitor. You may win against that one competitor. But how do you look on the overall serp, the search engine result page? You have to pull back a little bit and see, okay, just because I beat this competitor head to head, how do you stand out? So, for example, in Melatonin, everything is purple. Everything is purple on melatonin and for gummies, for pills, whatever, because it associates with sleepy, nighttime, this and that. So if you're going with purple, I mean, you should go with purple anyway. But just understand how, what hue of purple helps you stand out from the serp? Maybe a brighter purple, maybe a darker purple. So it's important to see that. So CTR and main Hero image is probably the most important thing people should be focusing on that they're not because a lot of bigger brands don't really care about it, especially if they're in a 1P vendor central relationship. Um, so yeah, I would say that that's the biggest thing you'd want to take a look at.

Speaker A: Wow. Uh, that's super helpful. Yeah, because I think, um, I can't remember at the online seller cruise event, but someone actually used melatonin as like a good example because they were talking about, you know, how do you come up with creative ideas for that image to really stick out in kind of the sea of other products, especially in a competitive space. And that's where again, like, Pickfu is, uh, the perfect platform to go and use because now you have an opportunity to come up with creative ideas, but which one is going to perform best? And then you actually take that and yeah, like, like you said, test it real time. What are those kind of real results, you know, showing there? So. Man. John. Yeah, go ahead.

Speaker B: Yeah, sorry. Just, just. I want to throw my AI, uh, nerd hat into the room.

Speaker A: Please do.

Speaker B: So what I would do is I would go to like, something like Claude or ChatGPT. Just kidding. It's only Claude for me. I cancel my ChatGPT subscription, uh, just because I can't be like, subscription inundated. Right? Where it's like, you pay for Netflix, you pay for Hulu, you pay for. I can't do it with my, with my LLM. AI's right. So I stuck to Claude, uh, especially with the investment from Amazon. So I'm like, okay, I'm staying with Claude. So I would go to Claude and I would say, besides purple, what is top three? What are top three colors that resonate for melatonin, sleepiness and calming. And then I would let the AI tell me what top three colors. Probably like a pale blue, probably like a pale green. And then, then what I would do is then I would run the pick food against those iterations of those different colors and then that's how I would see. So it's important to use AI on your own to then put those results into something like Pickfu, um, so that you understand the iteration. Because if you're inundated with just purple, purple, purple or which, which sticks out more. So if you look at the syrup and it's all dark purple, maybe you go light purple and you could test all that on Pickfu as well.

Speaker A: Yeah, that's really helpful. What are some other speaking specifically to that, John? What are some other kind of maybe power combos of like you said, Claude? Uh, I am a huge fan of Claude. Um, a lot of what I do, you know, in terms of my video content on um, other videos on my YouTube channel is very chat GPT specific too. But I do use a lot of Claude in some of the uh, use cases. But what are, what are some other kind of power combos or like even prompts that you found where you're using Claude and then going to Pickfu, or you get results from Pickfu and then going back into Claude. Are there any kind of good like use cases that you found, uh, with that power combo?

Speaker B: Yeah. So I think I know this. Is this not answering your question, but one tool that I would say that someone needs to have in an arsenal, uh, you know, in their armory of uh, of tools for Amazon and E Comm is Canva. I think can, I think next to AI Canva, uh, if you need Canva.

Speaker A: Oh yeah, absolutely. Yeah. I'm a, I'm a Pro Pro subscription holder.

Speaker B: Yeah. So, so I think for 12 bucks a month, Canva is the best bang for your buck that you could ever get in the space. Um, because, and I know my agency partners and you know, all these other people out there, they don't like when I say this kind of stuff. But you don't need an agency or graphic designer to iterate all these different things that you, you want to do on Amazon through Pickfu. Just something so simple as Canva. And Canva has a ton of AI baked inside of it.

Speaker A: That's right.

Speaker B: For Dall E3 for mockups for all this other sort of good stuff. So I would say that my next. If you're looking at tools and Pickfu is number one and Claude's number two, Canvas number three for sure. But I'm a big fan of prompts too. I know that was the other question. Um, I, um, have my own baked out prompts for my LinkedIn post. Follow me on LinkedIn. Um, and I use, you know, uh, Apple Notes, uh, exported as a PDF of my prompt into Claude. And I think that as we grow and evolve more into AI and the neural links of the world and all this other stuff, we're gonna pivot and grow accordingly. So you'll probably see a lot more cool stuff coming out in the future.

Speaker A: That's right. Well I'm, I'm a huge fan of. Because even with our audience, uh, I get this question a lot, um, which is, you know, am I going to be replaced? Is my job going to be replaced? And usually um, and what I've been finding with talking to other especially AI experts, um, is that it's not a replacement. It's mostly like a co pilot. I think even Satya, uh, Nadella from Microsoft, you know, talked about that, you know, AI done right is going to be like a co pilot. You're going to be the pilot but you're going to also have someone in the co pilot seat with you that's going to help you do a lot of the kind of like repetitive work, the automated kind of work that needs to be done and it's going to help empower you to be more efficient and have like a greater leverage. And what you just mentioned there John, is like if you have pickfu, you've got whatever AI tool, whether that's Chat, GPT or Claude and Canva to do a lot of the creative kind of assets like that is a trifecta of like a leg up, you know, in terms of like beating your competitors. If you just use that. Yeah, that's going to be a really powerful kind of system. Now what I'm doing and testing out a lot with AI is like the Canva AI Notion. Also I know you are a uh, notion addict. You know, Notion AI.

Speaker B: Notion Notion AI to me, not to interrupt you, I'm from New York. Notion AI. I like it, but I don't like it. I'll tell you why. I notion AI won't disclose what's the LLM that they're using that they, it's kind of their own. It's a mix of this. So I found that squad writes better for me than notion AI and rework. I don't know. This is too much. I'm getting AI inundated.

Speaker A: Right.

Speaker B: Have you Noticed some good things with Notion AI or no.

Speaker A: Yeah, I. So I do a lot. The summary I found has been pretty helpful, but in terms of like content creation and that capability, I am definitely not impressed. I. Yeah, I've got a YouTube channel, a uh, video on my YouTube channel talking about Notion AI and I walk through some of those like, challenges and pitfalls that I found, John, which I totally agree with you there. I think, um, my guess just on the behavior that I've observed is it's probably a GPT 3.5, GPT 4 from OpenAI LLM is what they're using. Um, because in terms of like customization it's not. Yeah, that great. And as you know, with Claude 3 which just came out like that, the performance is really, really good there. So yeah, I'm. I'm hoping that they make other improvements. I'm also a huge user of ClickUp and ClickUp has ClickUp AI too, but a lot of these kind of bigger brands and this is where I'm recomm against it. A lot of companies are just trying to embrace AI to have to say that they have AI, which is the wrong thing to do. It's like everything you talked about, John, which is like what is a very specific use case that you can use AI in and help you do. Because at the end of the day AI is just going to be like you said, more noise. It's another thing to try to learn. But you know, and that's a lot of where I'm passionate about is teaching people how to use these tools the right way rather than kind of, yeah, it just becomes noise at the end of the day.

Speaker B: The notion. The notion Q and A. Uh, I don't know exactly what it's called per se, but their search function with the AI that they've launched. I think it's Q and A. Um, that sounds right. It's actually really powerful, um, where you can search a doc with natural language. I think that's a good, really, really powerful kind of tool.

Speaker A: I love that. Well, John, thank you. Yeah, I know we're here at getting uh, into time, but thank you so much for. Yeah, the insights. I mean, again, if you guys are listening to this podcast episode, go check out the full video because, uh, when John shared his screens, there are some really good use cases and examples that you got to check out there. Um, John, how can people get connected to Pickfu to learn more about it? Uh, and then especially with you and your LinkedIn and everything, how can they get connected to you as well, yeah, totally.

Speaker B: Well, pick food, shortest URL and domain I've worked for today. Uh, P I c k f u.com sounds a little rough at the end, but don't worry. Um, you know, uh, you can email me aspinall@pickfu.com as p I n a l l@pickfu.com or search John Aspinall, uh, on LinkedIn. I post daily on LinkedIn, uh, a lot of CTR content, a lot of showcasing examples. Um, also we have our weekly podcast that's kicking off tomorrow at noon with Kevin King. Um, it's going to be outside of this week. It's going to be every Thursday at noon Eastern time on our LinkedIn and also segues to live on our YouTube account as well.

Speaker A: Awesome. Fantastic, John. So be sure to check that out guys. Uh, show notes will be down here in the description and I'll also include all the links that John mentioned here to too. But John, thank you so much. If you guys are not subscribed, please go ahead and like and subscribe. If you're watching on YouTube and if you are joining us on your podcasting platform, make sure that you hit that subscribe button, uh, to not miss any of the other upcoming videos, uh, and podcast episodes that we've got coming on. Uh, and with that, remember to keep moving forward and I will catch you guys next time. Bye. Bye.