In short
Marketing School Podcast Episode Notes
Episode Title
What ChatGPT-4o Means for Marketers, What is Signal-Based Selling?, Playbook: Automatically Turn Site Visitors into Customers
Episode Number
#2751
Hosts
Neil Patel & Eric Siu
Air Date
[Insert Date]
Episode Description In this episode, Neil Patel and Eric Siu delve into the advancements of ChatGPT 4.0 and its implications for marketers, explore the concept of signal-based selling, and provide a playbook for converting site visitors into customers.
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Time-Stamped Show Notes
- (00:00) Introduction of today's topics.
- (01:15) Discussion on ChatGPT 4.0 and its potential applications.
- (08:03) Explanation of signal-based selling and its relation to account-based marketing (ABM).
- (11:02) Playbook on automatically converting site visitors into customers.
- (13:21) Conclusion and call to action for ratings and subscriptions.
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Key Discussions
- ChatGPT 4.0 and Its Implications for Marketers
- Real-time Translation: The ability of ChatGPT 4.0 to facilitate live translations, enhancing communication across language barriers.
- Storytelling and Tutoring: AI’s potential to assist in storytelling and educational contexts (e.g., tutoring in marketing).
- Omni-directional and Multimodal Capabilities: The app can process and respond to various inputs, providing versatility in applications.
- Signal-Based Selling
- Definition: A modern evolution of account-based marketing (ABM), focusing on identifying and engaging high-value prospects based on their interactions and signals.
- Engagement Metrics: Marketers can track how visitors engage with content to prioritize outreach to those showing interest.
- Revenue Focus: Emphasis on converting traffic into revenue rather than merely accumulating high traffic numbers.
- Playbook: Automatically Turn Site Visitors into Customers
- LinkedIn Playbooks: The hosts share tactics for leveraging platforms like LinkedIn for marketing, proposing a strategy of promoting thought leadership content through ads.
- Enrichment Tools: Tools that enhance understanding of site visitors and facilitate targeted outreach (e.g., sending visitor data to Slack for warm follow-ups).
- Case Studies: Examples of successful strategies from companies using these playbooks to book demos and increase conversion rates.
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Key Takeaways
- Curiosity in Marketing: Emphasizing the importance of curiosity and experimentation in learning new marketing tools and strategies.
- AI Utilization: AI should be used for analysis and research rather than just content generation, which can lead to lower quality outputs.
- Effective Conversion Strategies: Marketers should design strategies that focus on converting high-intent traffic into revenue, rather than chasing vanity metrics like high visitor counts.
Conclusion Neil and Eric stress the importance of adapting to new technologies like ChatGPT and integrating advanced strategies like signal-based selling to enhance marketing effectiveness. They encourage continual learning and application of these insights for better outcomes in digital marketing.
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Call to Action
- Subscribe and Like: Encourage listeners to subscribe to the Marketing School YouTube channel for more insights.
- Feedback: Listeners are invited to provide feedback on topics they would like to hear in future episodes.
Additional Resources
- Marketing School Website: [Marketing School](https://www.marketingschool.io)
- Host Social Media:
- [Neil Patel on X](https://twitter.com/neilpatel)
- [Eric Siu on X](https://twitter.com/ericosiu)
Note: For more in-depth discussions, listeners are encouraged to refer to the full episode transcript and additional content related to the topics discussed.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00If you're looking to hire additional marketers for your team, there's no better place to look than hiring nearshore, hiring offshore. sure. And we found that we've hired amazing creative people. We've hired amazing people that can help with execution in the marketing side, whatever it is that you're looking for. Exactly. We are helping with that. We have recruiters from our side. All you have to do is go to marketing school.io slash hire. Once again, it's marketing school.io slash hire, fill out the information in terms of what you need. And then we'll have our recruiters reach out to you to help you with the placement.
0:32And it should be great for you at the end of the day, because you're going to save a lot of money and you're going to get the help that you need. so you're going to get help from a from a cost standpoint and also an execution standpoint as well so again, marketingschool.io slash hire and we'll see you inside Do you also want to end up describing the new chat GPT? Yeah, yeah, let's talk about it So, have you used it yet? I have Okay, do you have the app on your iPad? No Your Mac? Oh, you got to get it So, okay This guy Min Choi tweets this Wait, did you get a new one? No, no, it comes tomorrow The new laptop and new iPad.
1:07I still use my old one. Your old what? Laptop? Yeah, I'll use this one for this. It's like the third time I've used it. Wow. I have to still transfer everything and set it all up. Yeah, that's the pain. So, okay. So, chatGPD40. What I like about it, I was walking with my mom at Huntington Library last week, right? And she likes identifying the plants and all that. And then now what I can do is I can take a picture of it. I'm going to yawn again. No, this is cool though. I can take a picture of the plants and ask what it is in Chinese. I know you explained it in Chinese. And sometimes my mom will want to say something to me in Chinese.
1:39Now I'm like, oh, when I speak to you in English, translate it to Chinese. And when you hear Chinese, translate it to English. And so imagine if you travel somewhere to China or something or Taiwan, live translations. I've seen these chat GPT-40 assistants talking to each other. So that reinforces the need for agents. Helping students learn in real time. Imagine if you and I, we have AI versions of ourselves, tutoring people on marketing, right? So Sal Khan was doing something with his son, and then the AI corrected his son on a couple of things. Real-time translation we talked about. So imagine you're speaking Hindi to me, I'm speaking Chinese.
2:19We'll just be speaking where we can understand each other. Meeting assistants that can take notes. And then, did you see the one where I can tell your kids stories? Yes, I did. Did you use it? You sent that to me. I did? Yeah, you sent it to me right away. I haven't used that for my children. But funny enough, the accents within the app are off. Have you tried, you know, when it talks to you, have you tried telling it to use a specific type of accent? No. It doesn't work well. Yeah. I think it's going to take some time to get there, right? But I just think now that it's, I think it's, they call it omni because in my interpretation of this is because it's omnidirectional, it's multimodal, right?
2:59Right. And so what Sam Altman says is how he sees it working is he usually just leaves it open over there and he's asking it questions. And I found it to be, I played around with it last week where I was just going back and forth with it. And you just have the internet there and it's going back and forth with you. So I think it being an assistant for you, a marketing assistant is going to be pretty helpful. I think it's going to be really helpful. Yes. And it's a great step in the right direction. You wait a year. I think this thing's going to be dangerous. Yeah. Right now it's pretty good. I think in a year it'll be like you, it's, it'll be really good.
3:32Yeah. Yeah. Yeah. And that's the thing. Like whenever I see all these things and this is what Eric and I recommend to anyone who wants to learn marketing, the best way to learn marketing is to play around with these tools and try things out with your own websites and profiles on the social web. Instead of just being like, Oh, I read about the new chat GPT. We're reading about it as one thing playing with it is a whole different thing. And if you're not willing to play with it and get your hands dirty, you're not going to really learn how to use these new technologies that are coming around. By the way, we need to give props to Google too, because Google right after the 4.0 launch, and by the way, we should have talked about this last week, but it's okay, better late than never.
4:07But Google is showing that it's very serious about AI. Some of the things that they've launched, they have their own version, their own assistant that could tell you where your glasses are, and it'll help you calculate an equation. They're doing a lot of different things with Gemini too, So I wouldn't look past Google. I think they're pretty dangerous themselves. Google will be. And Sergey Brin came out of retirement just to help him with all AI-related projects. You know what I did for the Brian Johnson interview? I was like, hey, you guys own YouTube. And there's a lot of content you have around Brian Johnson.
4:40Tell me seven or give me a bunch of unorthodox questions I can ask him. And I would say four out of the seven questions they gave me were pretty good. Wait, I'm confused. You went to Brian Johnson and said you own YouTube? No, no, no. I went to Gemini. So I went to Gemini and I asked, I said, hey, I'm going to do this podcast interview with Brian Johnson. You have a lot of interviews with him and you own YouTube. Give me a couple of unorthodox questions I can ask. And four out of seven were really good. What was the example of one of them? Here, let me pull up my notes over here. So, okay, here's one example.
5:16Okay. Let's say you reverse your biological age to 18. What then? What kind of impact do you want to have on the world? You're taking care of your physical and your cognitive health. How about your emotional health? I didn't get to ask that question. So stuff like that, right? Where these questions I haven't seen other people ask. Yeah, they're good questions. AI is not bad. I can tell you, I think AI is really useful. What you just put in there is for it to help you with research. It's analyzing everything out there and it's giving you input based on what it's finding out there. where I think AI is really bad is saying, go create me a piece of content around this topic, which is what a lot of marketers just result to.
5:55And like, oh yeah, AI can help me with content creation. That's one of the basic things AI can do. And that's one of the worst things AI can do. AI has so many more better use cases, like helping you analyze data in real time and making informed decisions because marketers have tons of data, but yet very few of them analyze that data and actually make decisions based off of it. You got to be, so earlier what you said about marketing, I think at the highest level with marketing, if you want to win, you have to be curious. And then with this stuff too, being curious means like the more curious you are, it's sure you're going to ask stupid questions, but eventually you start to ask smarter questions.
6:25I think the base level of what you're saying is a lot of marketers tend to just default and stick at the stupid questions and they don't get to the next level. So it's taking a little more time and then learning to come up with better questions and then you get better results. Yes, dude, I'm with you. And yeah, like if you can use AI for research, data analysis, helping you to mundane boring tasks, there's a lot of useful things that can help you as a marketer. Or like if you're looking for keywords, it can just end up telling you which ones are top of funnel, middle of funnel, or bottom of funnel.
6:55There's a lot of unique things it can end up doing. It can help you update your content. But the one thing that most marketers, I wouldn't say avoid doing, but use with caution is just use AI to blink and just create content for you at mass scale. All right, everyone. Quick message from the Agency Owners Association. So this is the peer group for agency owners that Neil and I both put together. This is for people that are doing six figures, seven figures, eight figures, even nine figures as well. And we're all here to help you grow your agency faster. In this group, we share leads. We also, we share learnings with each other.
7:28It's a community where people can ask questions, their most burning questions, personally, professionally. We'll share templates, reports, things like that. We're constantly adding more value to the group. I will tell you that the price is continuing to increase. The good news is that there's no long-term commitment. So you can just learn more by going to marketingschool.io slash agency. Once again, that's marketingschool.io slash agency to learn more. And we hope to see you inside. So what I'm hearing is you can call it ABM. Some people like to call it signal-based selling now, but it sounds like of the millions of people visiting, there's going to be a small subset of people that fit your ICP.
8:00And then your salespeople will be able to spot the signals, how much they're engaging with your content, and then reach out to those people. Bingo, you got it right. So signal-based selling, that's a new term, guys, but it's basically account-based marketing. Yes, I still like the account-based marketing. But it works really well. And instead of being like, hey guys, we need to go create 30 pieces of content this week and get this many views. We're just like, okay, well, we do all that. Here's how many leads that generates when you have four or five, six million visitors a month. And here's how much of that turns into revenue.
8:30And no joke, our traffic has gone down at least 2x, I would say, from the peak. But our revenue has gone up more than 3 or 4x from that time period. And what we learned through this, which was a hard lesson for us as marketers, as yes, traffic is great, but if it doesn't convert into revenue, who cares? So we started focusing on traffic that converts, and we ignored everything else, even if that meant our rankings would drop for all the other terms. Sure, some of the algorithm updates didn't go our way. Some of them did go our way, but it was more so we focus on updating the piece of content that were actually driving revenue.
9:08We're looking at our lead sources and which lead sources were caused by certain content pieces, write more of those pieces of content, ignore the others. And what we found is the stuff that was driving the majority of the leads was like, or majority of the revenue, not leads, but majority of the revenue was like, we have a blog in five different languages. how should we structure our blog? Or we have a blog in multiple languages, how should we structure it? That's an enterprise type question. It could be for small businesses too, but yeah. Yeah. And those type of posts were driving the smallest amount of leads, the most amount of revenue.
9:44Most of our leads were coming from things like someone Googling digital marketing, SEO, and no joke, our close rates from those leads were pathetic. It was just non-qualified businesses that were like, hey, I just found out what SEO is. I want to hire someone. What can you do for $100 a month. And it just wasn't working. So we shifted our strategy to go after ultra long tail that's very specific to enterprise. Dude, speaking of which, so this actually dovetails well into, we've got these playbooks, these LinkedIn playbooks. So Adam Robinson, CEO of retention.com, who we've talked about a couple of times.
10:17These are a couple of ABM playbooks over here. Again, you call it signal-based selling. But if you're watching on YouTube, we should share a screenshot of this. But this is interesting. I'm going to share a couple of playbooks with you all. There's six here. I'm not going to read everything to you guys, but here's one. This is Samantha McKenna's thought leadership ad play. So one on LinkedIn, you could promote a thought leadership ad to ungated content. So that can mean, let's say Neil works for my company. He posts something. I can run a thought, a thought leadership ad on LinkedIn, which promotes his post.
10:45And then we can run that to like an ungated piece of content as a call to action, right? Basically that drove 1600 click throughs to their site and then retention B2B just call it enrichment tool. So an enrichment tool pushes site visitors to Slack. So it will enrich all the people. And then through Slack, it'll lead to warm outreach, right? So that's a form of, you can call it account-based market or signal-based selling. And then they booked a demo on the first campaign of doing that. Okay. I'm going to read one more here. Michael Lieben and Taylor Heron's Clay Play. And Taylor Heron's actually been helping us with our warm outbound.
11:17And I think we booked like a couple of, not warm outbound, cold outbound. We booked a couple of meetings last week from it. So I'm curious to see what else the team comes up with there. Basically, retention B2B or any enrichment tool that you choose to use will push your website visitors to Clay. Clay is like a sale. Neil's going to yawn because I'm making him tired. But every time I see it, I just call it out. I know there's a lot of yawn. But you know clay.com, right? So clay.com, it can help you put in AI for your outreach. It can do a lot of different things, right? Okay, clay.com, after retention pushes to clay, clay will sort by your ICP, enrich with firmographic, technographic data, okay?
11:58Clay then writes a chat GPT email based on page views and who the visitor sells to. Clay then pushes to SmartLead and the SmartLead will push into like, you know, you might have like five, 10, 20 different domains and it'll send emails out. So Michael booked one demo in the first 15 emails. Taylor is responsible for 20 % of retention B2B signups, and they have an 11 % conversion rate on this strategy. So I just want to give you guys two playbooks. Bless you, Neil. Thank you. And we can move on from this. But hopefully this gets your guys' engines moving a little bit. That's it for today, everyone.
12:32Please don't forget to rate, view, subscribe. MarketingSchool.io slash agency. We're going to show you all how we build this community. And if you have an agency, we're going to help you build your agency faster. So that being said, we'll see you tomorrow.
