Yes — asking Claude (via MCPs) to analyze existing content and data surfaces revenue you already own: it identified a $10 digital product from a forgotten presentation that sold 1,000+ copies for $10,000, and similar 'found money' plays apply to sponsor outreach, events and segmentation.
Build a Claude skill that identifies the sponsored link in a sent newsletter, pulls the performance metrics, and generates a branded analysis report for the advertiser — including what worked and suggestions for the next ad — then schedule it to run automatically.
Segment newsletter subscribers by location, survey them on what event they'd want, then run the winning event format locally — without emailing the whole list.
Enrich subscriber or customer data to identify high-net-worth individuals, then target them with premium offers. For newsletters: use IP-based location mapped to high cost-of-living areas, or past survey answers. For Shopify stores: score customers by home value from their shipping/billing address using property APIs.
Beehiiv is a newsletter platform that provides tools to create, grow, and monetize email newsletters and accompanying websites. It includes subscriber management, analytics, monetization features, and templates to build newsletters and sites without coding.
Clay Studio is a self-hosted, browser-based team workspace for running and sharing local coding-agent sessions across projects. It connects to supported local runtimes such as Claude Code and Codex, allowing people and AI collaborators to share live sessions, hand off work, respond to permission requests, and retain project knowledge between conversations. The Clay Studio daemon runs on the user's machine and serves the workspace to a browser or mobile PWA. It stores sessions and knowledge on disk as portable JSONL and Markdown, and supports repositories, parallel sessions, Git worktrees, background workers, scheduled tasks, persistent AI collaborators called Mates, project instructions, file editing, diffs, terminals, MCP servers, and push notifications. The request path is browser to the Clay Studio daemon to the selected coding-agent runtime and its model provider; project traffic is not relayed through a Clay-hosted cloud.
Fathom is an AI meeting-notetaking service that captures and transcribes Zoom, Google Meet, and Microsoft Teams calls, then produces summaries, action items, searchable transcripts, and follow-ups. It can record meetings with or without a bot, answer questions about past conversations, monitor selected topics, and send meeting data to tools including Slack, Salesforce, HubSpot, Notion, and Asana. Its meeting data can also be used in ChatGPT and Claude as context. Fathom offers a free individual plan and team features such as CRM updates, shared conversation visibility, and AI scorecards.
Figma MCP is an AI connector for using Figma through Claude. In the cited example, it lets Claude find an existing presentation in Figma for repackaging as a digital product. Figma is a collaborative canvas for design, code, and AI where teams and AI agents work with shared context.
An MCP integration that lets Claude scan documents stored in Google Drive, including documents containing finished work.
LinkedIn is a professional networking platform for building career networks, maintaining professional visibility, publishing industry-related and educational content, applying for jobs, and conducting direct outreach. The videos describe its use for connecting with realtors, generating predominantly organic inbound consulting and trip-planning leads, and receiving inquiries after media coverage.
Mercury MCP is a financial Model Context Protocol tool for providing banking context to AI systems. It relates to Mercury, a fintech company offering online business banking for startups, small businesses, and scaling companies; its banking services are provided through Choice Financial Group and Column N.A., Members FDIC.
Monarch is a net-worth tracking financial tool that Tyler uses as one of four financial MCPs.
Notion is a productivity and collaboration platform developed by Notion Labs Inc. It combines notes, documents, relational databases, kanban boards, calendars and wikis into a single workspace for individuals and teams.
Plaud is an AI-powered note-taking platform that consolidates in-person conversations, phone calls, and online meetings into a single workflow, offering automated transcription and summaries. The service is presented at plaud.ai and the site states it has over 2.5 million users.
Redfin is a residential real estate brokerage and online marketplace operated by Redfin Corporation. It provides property listings and search, rental listings, mortgage services, and connects consumers with local Redfin real estate agents and brokerage services.
A financial Model Context Protocol (MCP) tool described in the video as supporting investment analysis and hypothetical trade actions through Robinhood.
Shopify is an all-in-one commerce platform for building and operating online stores. It provides ecommerce software for managing products and product information, storefronts, checkout, and merchant operations, and can serve as an owned direct-to-consumer sales channel that retains customer relationships, email lists, and business data. The platform is also used in workflows involving product-image sourcing, marketing campaigns, advertising, and integrations with services such as Post Pilot and Reddit advertising.
Stripe MCP is Stripe's public-preview Model Context Protocol server that lets AI agents interact with the Stripe API and search Stripe's documentation and support knowledge base. It can be configured in clients including Cursor, Claude, Codex, ChatGPT, and VS Code; Stripe's agent plugins install and maintain the server and related agent skills, while manual setup is also available using OAuth or an agent API key. It can be used with Claude to build Stripe payments integrations, including recommendations for Stripe Tax or Checkout and sandbox provisioning with API keys through the Stripe CLI.
Superhuman is a personal productivity and email product described as an effort to automate individual work. The video notes that Superhuman is now part of Grammarly.
The Koerner Office is a business newsletter and podcast produced by Chris J. Koerner that shares tactics, ideas and discussions for starting and growing businesses and real-estate holdings. It is distributed as an email newsletter and as podcast episodes, and its issues/episodes focus on business strategy, deal flow, and real-estate approaches.
TKOwners is a paid online entrepreneurial community founded and led by Chris Koerner for people starting, building, and growing businesses. It provides exclusive interviews and videos, member discussions, weekly live calls with Koerner and other experts, business blueprints and courses, a backlog of ready-to-use plans and agents, strategy and execution tools, accountability resources and reports, networking, job boards, co-founder connections, overseas staffing help, proprietary tools, masterclasses, technical support, discounts on selected software, and access to an AI Lab focused on applying AI and automation to business tasks. The community has over 750 members; subscription-based membership includes a 7-day free trial, and cancellation is available to stop future billing, while completed payments are nonrefundable.
Zapier is an automation and AI orchestration platform for connecting business applications, data, AI models, and agents. Its workflows use triggers and actions to move information between tools and perform tasks such as formatting new Asana projects, connecting incoming email to OpenAI for a customer-service workflow, scheduling recurring scrapes, and sending notifications when qualifying data appears. The Zapier site says it supports workflows and agents across more than 9,000 app integrations, with governed access, model management, and guardrails. It also provides Zapier MCP for connecting AI clients such as Claude, ChatGPT, Cursor, and OpenClaw to configured tools, plus a beta Zapier SDK and SDK CLI for building integrations.
The Zillow API is a collection of web services provided by Zillow that let developers programmatically access property listings, valuation data (Zestimate), and other property-related information. Access to the APIs requires registration and is governed by Zillow's terms of use.
Searchable transcript of He Asked AI To Make Money. It Did. — Chris Koerner on The Koerner Office Podcast (36:16). Search for a phrase, then click its timestamp to jump straight to that moment in the video.
Captions sourced from the original video on YouTube, published by Chris Koerner on The Koerner Office Podcast. The video, its captions and all related intellectual property remain the property of their respective owners; AINotes claims no ownership. Provided for research, accessibility and search — see the Transcript Notice and Copyright Policy.
00:00 a thousand purchases [music] at $10. I made $10,000 and it was an idea that Claude generated for me. That's kind of like the power one of digital products. [music] I like to call this found money. We don't need to have like inside access or wealth or anything to have [music] an unfair advantage. We made like 12 grand in a couple hours. And you were able to do that in three prompts just asking Claude.
00:17 Any of these kind of micro ideas that we're talking about is a business in and of itself. I think we ended the episode with the next billion dollar [music] idea. I'm telling you, I love it. This episode is sponsored by Beehive, so [music] you can use code chris30 to get 30% off for your first 3 months. Beehive is now in Claude's [music] connector library.
00:36 So today, we're going to cover how to make money with it, plus all the other ways to make money with Claude. Please enjoy. How would you describe what an MCP is and why they're important? Anyone who has used Claude or Chat GPT, you can just think of it as giving Claude access to all of the different apps that you're using. So if you use Gmail, you can give cloud access to read and summarize your emails.
00:58 If you use Google calendar, you can tell it to warn you or do research on people that you have a call with later today. I use it for linear. I use it for beehive. Like the basically a lot of these software platforms are building connectors where Claude can chat directly with them. And I think like the magic of it is the C the context. like it opens up a world of context frictionlessly that before we were having to like describe to JGBT or screenshot and drag over.
01:25 Now it's just it's you know one integration away and then we can refer to it anytime we want. For example, I have four kind of financial MCPs that I use on a regular basis. Kubber which is like a net worth tracker, Stripe, Mercury and Robin Hood. So, I can just say, "Hey, what stupid decisions am I making that negatively affect my net worth?" And it's going to go see how much I pay for Chipotle.
01:50 It's going to go into Stripe and see that I'm not charging enough for stuff. It's going to go into Mercury and see yada yada yada. It's going to go Cabera and and see that I I bought a bunch of poo coin, right? Like, it can take all of those things and put them together and give me a perfect answer without me having to explain myself. How much are you paying on Chipotle, dude?
02:07 I mean, I have four kids and for a while they didn't none of them like Chipotle. Now they all like Chipotle and so we're dropping 75 every time we go. And there was one week where we went five times. I'm not proud to admit that. But yeah, that that's all I ate in college. So I I can Yeah, you get it. You get it. Totally. I think it's worthwhile just to show like how to set it up.
02:26 It takes two seconds. You click on customize and you'll go to connectors. As you can see, these are all of the different apps that you can connect to. So everything from Zapier, Superhum, Notion, Clay. I already have Beehive connected, but if you didn't, you would just click add and add a custom connector by jumping down into your Beehive account.
02:46 There is a MCP button right here and it tells you exactly how to set it up. So, you just type in Beehive and add this connector. So, type in Beehive, you put in this URL, you hit add, it will ask you to authenticate in one click to your Beehive account. And then right after that, this will show up as a connector. Now, for all the people that don't have a newsletter, how can MCPS be used to make money to monetize?
03:12 Like, are you seeing other people do specific things out there, or do you have any just theoretical ideas that we could touch on? Yeah, totally. We launched the ability to sell digital products. Digital products can be courses, templates, guides, coaching sessions, like whatever you'd like. What I actually did with the MCP is I asked it to, and I know your prompt was not having a newsletter, but whether your corpus of content is on X or LinkedIn or a newsletter, I had it look at all of my different type of
03:39 content and kind of identify where I am a subject matter expert and then suggest different digital products that I could create. And so, one of the digital products that it suggested I can pull up here is this newsletter playbook. You know, I helped scale Morning Brew to four million readers. I launched Beehive. I have my own personal newsletter of 130,000 readers.
04:00 It was quickly able to identify that I know how to build newsletters. It suggested building this playbook, which it actually because it had access to both Figma and my Google Drive actually identified a presentation that I gave where I already did the work for this digital product which is the coolest part. I already had a presentation that I had created for some sort of webinar and it was like you keep talking about newsletters.
04:26 You've clearly scaled scaled a newsletter using the Figma MCP. We've identified that you've already created a presentation about this. Why don't you package this as a digital product and sell it for $10. And it was that insight that I was able to then use the MCP to quickly spin up this page. I've had I think over a thousand purchases of this playbook.
04:48 The playbook again was something that it identified that I had already created in Figma. A thousand purchases at $10. I made $10,000 in revenue and it was an idea that an MCP generated for me. So I think that's kind of like the power one of digital products and two just the MCP and giving it the proper data and connectors via MCP to be able to pull these types of insights.
05:02 I love this. I I like to call this found money, right? And I was going to use a found money example, but I think this is also a found money example. I I like to say all the time that everyone has an unfair advantage with regards to something, right? Your three-year-old toddler probably knows more about dinosaurs than anything. You know, he has an unfair advantage that could be monetized, right?
05:26 We So, we don't need to have like inside access or wealth or anything to have an unfair advantage. What you're saying is you just say, "Hey, connect your cloud MCP to whatever you can and then just say like where am I a subject matter expert? What what could I charge for and how should I charge for it?" Like, go find that. you start to realize that how important these notetakers are on calls because as a human, you know, you have so many calls, you have so many things going on throughout the day, but to have a
05:50 notetaker that takes the entire transcript and recording and now it's accessible and clawed. And now you're seeing the explosion of these different hardware devices that you can basically wear either on your watch or like in your pocket and they will record IRL conversations as well. Yeah, exactly. And the thinking behind that is like, you know, Claude is only as useful as the information you give it.
06:09 So, it has a transcript of the conversations that I'm having with who I'm having. And then if you go the next step further, which you already have, and you start recording stuff IRL, the more context that you can give Claude, the more you can prompt it with any random question or prompt or whatever you need. And so, I think that was like a real light bulb moment for me is understanding how valuable it is to have as much context being collected and uploaded into these LMS as possible.
06:34 Yeah, I used to stress out because I was recording everything. I had a fathom note taker and it's like I'm never looking at this. Like I'm not I'm not ever referring to this. But then I kind of switched my thinking to this is an insurance policy. Like this is a very very cheap insurance policy against me needing something from this data at some point.
06:53 And inevitably I do like I will prompt my MCP about my Plaid recordings twice a month. And when I do it's very helpful and important or my Fathom recordings I will prompt it once a month. So don't like stress out about the fact that you're not reading your notes. you're not referring back to them or you're not doing the action items that it autogenerates.
07:08 Just know that it's an insurance policy and it's like writing in your journal. It's it's just good to have and good to keep. I'd even go a step further and say you don't even need to think about ever prompting or looking at your transcript, right? It's really just information that you're feeding to Claude that will inform some future decision or feedback that it gives you without you even saying like, "Hey, look at this paw recording and like who did I speak to last week?"
07:30 Like the more specific is better in some cases, but to say like, "Hey, I'm traveling to New York next week. I have Thursday afternoon free of everyone I've chatted to or like had a meeting with in the past 3 months. Like, who should I prioritize seeing based on everything else you know about Beehive, the business, and what we're prioritizing?" But no, I want to talk about the concept of found money.
07:50 That's what you did. Like, you asked yourself what to sell, where you're a subject matter expert, and you found $10,000. You could charge other business owners or individuals for this by using an MCP, of course, with their permission to connect to their business bank account or their credit cards and find money like find recurring subscriptions or find where they're wasting or find software alternatives that they could save a lot of money on and then charge a percentage of savings on that as well.
08:18 Totally. Okay. So, what else did you have to show me on your screen? I have been able to scale my newsletter operations as like an independent operator pretty substantially and I think there's like a lot of cool use cases of the Beehive MCP that have facilitated that. So I can kind of walk through like my setup and how that looks. Yeah, let's do it.
08:34 Cool. Let's do it. Happy to chat. I think uh best practices as well. So going back into Claude, I created a project. For those who don't have projects, you come up here into projects, you collect new project. Basically, a project allows you to add additional context. So, it's not always starting from zero, but it has a baseline of memory of what you want it to do.
08:56 So, you can see here I have this BDE, which is my newsletter, Big Desk Energy. So, it has all of this context that I added here in memory. If this looks overwhelming, after you've chatted with Claude Verbbit, you can just ask it to create a memory doc for you. And it it I personally did not write all of this, but it knows like my voice rules, right?
09:15 short declarative sentences, no hedging language. So, you don't like the word folks, huh? I do not like using the word folks. [laughter] So, it wrote this entire thing by me prompting it and having it analyze all of the writing that I've ever done across LinkedIn X and my newsletters. So, every time I go into this BDE project, it has all of this context.
09:35 Like, I don't have to retach it what to do. I can walk through a few of the few skills that I use the most frequently. one is like probably the most common one so I'll skip over it quickly but I think one of the big benefits of AI it's not AI writing because AI writing is not very good and I think most unique ideas come from a person not from an MCP or Claude like I write about my experiences at South by Southwest or at CAN or or this meeting I had last week and Claude doesn't know those things and it can't speak
10:01 from my firsthand experience where I think Claude is great is being an editor so my content is free of mistakes and errors and calls out factual incorrect things, right? And so every time that I'm done writing one of my posts, I just drop the entire draft into Claude. It's already trained on all of the posts that I've ever written ever. It has all my best practices for writing and it basically spits out a line by line suggested edits of I can take it or leave it.
10:29 So that's the first thing that I've done. The second thing that I've done is obviously AB testing subject lines are amazing, right? You're allowed to add up to four subject lines per newsletter. show you what that looks like real quick. Every time that you post a newsletter, best practice is to test probably four different subject lines. I did that today.
10:50 You can see my newsletter I tested for 45 minutes. I have 20% is like the sample and these were my four different subject lines. This is the one that won. It had 21% open rate. You can see the bottom one 17.9%. That 3% difference there at 130,000 subscribers. not going to do public math, but it's thousands of readers who are getting the better subject line.
11:11 So, it's like actually statistically significant. The caveat here is I didn't come up with any of these subject lines. Claude came up with all of them. And so, the reason that it was able to do that is I created this skill called the subject line generator. And what it does is again using the Beehive MCP. It looked through all 130 posts that I've ever written.
11:31 Each of them has different subject lines that I've tested and like the ones that won. And it was able to create its own framework of what statistically performs better, what to avoid. Funny enough, using beehive in the subject line, usually a 4 and a half% decrease in in open rate. Makes sense. How to like the audience does not like these how-to playbook.
11:54 And so tactical. And then the the word count was really interesting, right? So longer subject lines above five words, 37% open rate, two words at 42%. So I Amen, bro. I wish the whole world knew that shorter was better when it came to subject lines. Now the first step I just showed you was it does a live edit for my rough draft. So now it knows what my post is about.
12:17 And then once it gives me its edits, I just follow up with a simple, now can you generate subject lines for me? And using this framework that it's already created and this skill, it spits out five subject lines. I choose my four favorite and upload it to Beehive. So, as far as like the workflow there, it's having a personal editor to make sure my content's good.
12:31 And it's using historical performance to statistically improve the odds that more people are going to read my newsletter. So, that's the second skill that I use. Having good chugging along here, I think there's two other ones that I think were pretty cool. One, for anyone who has a newsletter that does sponsorships, one of the most annoying things for me was always reporting data back to the advertiser, right?
12:56 The advertiser gives you a few thousand dollars to sponsor your newsletter. They obviously want to know how it performed. They get a few clicks coming through on their end, but ideally they want to know how many people opened, how many people clicked, was it a good ad. So I created this ad report and I taught it basically to go through and analyze the one identify which link is the sponsored link and then do a full analysis report for me.
13:14 I actually went one step further and I now schedule it. So in claude you can actually do a scheduled task and so I have this weekly ad report. So step one was create the skill. I ran it once, it worked, and then I made that skill a scheduled task to run every Tuesday at 9:00 am. Now, every Tuesday at 9:00 am, it will run something like this. I have it branded in my own like Windows 98 like style.
13:43 It generates this ad report right here on the right, which is here's the advertiser, here's the newsletter that went live, all of the metrics that they care about. So, impressions, unique impressions, ad clicks, email click-through rate. again where Claude can use its reasoning. It actually did an analysis of what worked and then suggestions of what to do next time because as an advertiser or as someone who's selling ads, I also want to give them the carrot of if you were to invest again, here are like some
14:08 different things we could do differently to improve the next ad. This used to take me again maybe 10 15 minutes to do manually, but I would just send it in a plain text email. Now, every Tuesday Claude sends pings me on Slack, tells me that this is done, gives me the report, and then I email it to someone. And honestly, I could probably automate all of that as well.
14:27 I could probably connect it to the Gmail MCP and have it send it out to that person. Uh, but it saves me like 15 minutes a week and looks so much better. That's so good. I mean, that's that's a job that you would need to hire for. Not a full-time job, but that's just such a good use case. Yeah. And then I think the last one that I think I'm potentially most proud of, and it's building on the fact that I monetize my newsletter through sponsorships, is I created this advertiser lead finder.
14:49 The thinking is again, it's read all of my newsletters. and knows what type of content that I create. It's looked at every ad I've ever run and it now knows what type of advertisers perform well, right? Certain types of advertisers like B2B might have like a 2% click-through rate, whereas a BTOC toy has like a 0.2% clickthrough rate. Doing all of that, it can identify here are the types of companies that I most likely going to convert to be an advertiser.
15:18 I have it as a scheduled job. And so you can see in Slack every day what it does is it pulls someone who signed up 30 days ago who has opened a few of my newsletters and they fit an ideal profile. Here's someone from Verscell. It was able to identify that Versell, you know, front-end cloud dev infrastructure makes perfect sense. This person has a 78% open rate.
15:36 I have three other readers from Versel that read my newsletter. And then it gives me actually an out. So I can just copy and paste this directly to this person's email and it pitches Behi or Big Desk Energy for me. And so it's like pretty cool here like this one from AI powered cloud cost optimization. But what's interesting about this one is they have a 90% open rate.
15:59 They've opened nine out of 10 and an 11% click rate. So this person is so incredibly engaged where if I were to send them a direct email, they know exactly who I am. They know exactly what Big Desk Energy is. The only caveat that I don't know is whether they're the right person to talk to on their team to get a sponsorship. But at that level of engagement, I bet you they'd be willing to make an introduction.
16:22 And so this is why I have had an advertiser my newsletter for the past two years. I just have this evergreen funnel of companies with individual points of contact that I can reach out to that Claude has identified as a good fit to sponsor my newsletter. And you're you're sourcing all or most of your sponsors through your newsletter. Totally. It's like a self-perpetuating flywheel.
16:39 Totally. Now, are there like data limitations to this? I've got 270,000 subs. I've never thought to ask it to do this. Could it go find like common domain names? Like if I wanted someone from I don't know, like some company that might want to sponsor me. Could it scrape through all those? Yeah. In fact, what if I if you want to give it a test run now?
17:02 You want to turn? Absolutely. Like I'm I want to do this for myself right now. My ADHD is flaring. So, if I were you, the first step that I would do is rather than jumping to that step, you have sponsors in your newsletter, correct? I would pull up Claude and ask, can you do an analysis of my previous newsletters to identify the different types of advertisers that I have in my newsletter?
17:24 because I'm sure you could probably guess and name a few brands that might be good. But I would actually let Claw just do that own analysis and determine what types of brands and companies not only are a good fit but historically have performed well for your newsletter. 30 distinct issues June 2026 back to August 2025 38 issues 14 sponsors beehive go high level TK owners playmakers webinars events incogni oxyabs radiant opus clip personal IPO summit and so the next step here I would ask it to like basically
17:54 categorize who these types of advertisers are and what what's like a list of other companies that would fit a similar profile to these and then the next step would be okay go find some employees yeah exactly Exactly. It would be, okay, so here's like the the 50 companies that are pretty similar to Beehive and GoHigh Level and all of these others that have performed well for your newsletter.
18:17 Here is the email address associated with all of them. And now let me go through your entire list and see who from those companies is already subscribed to your newsletter that's actively reading and engaged. And then sort them by those who are the most engaged. Right? So if you could find someone who has a 95% open rate from a relevant company that should be an advertiser in your newsletter, you can then have it and this is where maybe we get to the right access where giving all of that content you know that
18:46 they've they signed up two years ago, they've opened 90% of them and they work for XYZ company. Can you draft me an email and actually send it to that person um using Gmail or Superhum? Now using the right access, could you go a step further and say either A make me a beehive segment with all these people or B make me a beehive automation that will you know once someone meeting these domain names and this open rate this engagement rate then send them this email with these personalized variables in it.
19:16 Totally you. This is I think a great example and this is like where I've kind of dropped the ball but through this episode I am motivated to close the loop on what I showed earlier. I had it outputting a sample email to Slack of what I could be sending these people. The truth is I probably only sent 10% of those emails because I don't check that Slack channel and I'm busy doing other things.
19:38 But there's no reason why I couldn't just give it right access to Gmail and have it send that email on my behalf. Yeah. So, this has been super helpful for me because immediately after this, I'm going to set up right access and I'm going to start firing off all of these emails. Like I've thought about using it for Robin Hood because I was doing this analysis where it's like all right, I think Bitcoin is bottom bottoming right now.
20:00 Do I buy Bitcoin? Do I buy IBIT? Do I buy Coinbase stock? And I had to run all these analyses side by side graphs like and it gave me these different ratios at this interval. You should buy Coinbase at this. And it's like, okay, do it like set a daily skill or a daily schedule. And does Robin Hood have an MCP right action to be able to purchase things MCP?
20:17 That's pretty That does both scary and also badass. I know. [laughter] I know it is. I'm the type of guy that would use it though. So, all right. Some from Shopify, HubSpot, Microsoft, Meta, Apple, Amazon, Google, eight from Google, Gohigh Level, Beehive, but none from OpenAI, Anthropic, Stripe, Replet, 11 Labs, Gusto, yada yada. Shopify is your strongest lead.
20:39 HubSpot is second. I clarified, are you looking through all of my subscribers? Yes and no. I'm not reading all one by one or running server side searches against your full list. Okay. So, yeah, just searching for them as I would do if I were doing the same thing in Beehive. Right. Right. And I I think to even like take a step back and like why is this cool?
20:58 Like it would have taken you 30 minutes to go through your past 30 issues and even identify which the advertiser was. It would have then taken you a lot of googling to figure out or like brain power to figure out who are like the tangential advertisers that kind of fit this customer profile and then you would have to manually one by one look up their company email address.
21:17 Search in the the Beehive search field. Does this email exist in this account? Yeah. And you were able to do that in three prompts just asking Claude. Now let's get creative here. What if what if I want to find Joemo subscribers on my list that are highly engaged and that are likely wealthy? Okay. Now, Beehive knows does it know zip code? I know it knows states and even city data.
21:42 How how granular does it get? Or what other tools could I connect it to to say, "Hey, here's the email address. Append this data with more data about this person." Okay. So, what Beehive has is IP address, which it reverses into location, zip code or let's ask Claude the location of some of your readers. Be like, how specific can can you get zip codes from the location data on Beehive?
22:08 I see where this is going though. Mhm. I have I've had Shopify stores for ages and I've never found an app and I've thought about building it that could identify customers that had placed an orders that had placed orders based on their potential net worth based on their address because all the data is there, right? This is their shipping address or their billing address.
22:27 Here's the Zillow API or Redfin or whatever. Here's how much the home is worth or here's the zip code it's in. or we took these four data points and we can say with 92% certainty this guy's worth 5 million bucks. Like I think it would be so cool in Shopify to be able to tag those people. Or hey, this person is 97% certain to be this influencer who has 300,000 Instagram followers in the beauty and wellness niche.
22:53 they might be able to promote the lipstick you just show sold her, you know, and so behind the scenes, that's actually what we're doing at Beehive now is every sign up that comes in, we are enriching that data with their YouTube subscribers, their following on X and LinkedIn and seeing if they have a large following on any of those platforms. So, we should like reach out to them and give them sort of this VIP experience.
23:12 It sounds like they have city. You can basically map city with zip codes, you know, a bit. And I think the best part of all of this is you and I right now are actually using too much brain power to think through any of this, right? We could actually probably just present this to Claude and say there whatever using IPbased city, state, country data you have in Beehive.
23:33 I want to map that to the highest cost of living zip codes and cities in the US and find who are likely to be my wealthiest subscribers and without giving it too much instruction and trying to actually engineer how it gets from point A to point B. Claude should be able to come up with a few different ways to to poke around and do that. Yeah, I kind of just did that.
23:55 I said, "Find me 20 highly engaged subscribers that likely have a high net worth based on everything you or Beehive knows about them." So, I could have said IP or zip code or whatever, but I'm assuming it can infer as much. Yeah. All right, it finished. Oh, look at this. Look at this brand new segment. Subsuccive 50K a year, 147 people, 93% open rate, 13% click-through rate.
24:18 Now, back to Claude. How did it Yeah, it cheated a little bit. Well, it didn't cheat. It just got creative. It didn't even if I would have told it to use the IP or the zip code, it probably would have done that. But this is probably better. It just went to a survey that I had randomly sent a while ago and forgot about where I I asked them stuff like this.
24:34 Told you they can invest 250K to a million a year. Yeah. So, I sent a survey about if I were to launch a fund, which I never did, like how much would you invest? And these are what people said. The power of this guy just missed the cut. 10 million in construction revenue, 100% opens. Man, this is awesome. And then once you're able to do this, you can like recreate this by Beehive has the segment feature where you can just create different segments for different use cases and you can create a segment which is a
25:04 right action via the MCP. So without even having to go into the Behive platform and create a segment based on all these different parameters, you could simply just figure out what works here, stress test it once and be like every night or every week run this exact query as like a scheduled skill and create a wealthy segment that I can then target and reach out to.
25:27 Maybe there's a a different event that you're hosting. Maybe there maybe you just want to do a blast to get more sponsors. Maybe you're selling a very high ticket event of some sort. So, there's like a lot that you probably do there. To your point, I'm going to share a different screen here. I I just held an in-person event in Provo, Utah, which I'd never held an Inerson event before.
25:45 And so, I mean, Beehive was perfect for this. I had never segmented my subscribers by location before. I didn't even know it was possible until I just I think I accidentally saw it in the drop down. I was like, "Okay." So, I made a segment with all of my Utah and Idaho subscribers. There was about 6,100. And then I first sent a survey to them and I'm like, if I had an event, here's like 10 options of what we could do.
26:04 What would you be interested in? And I thought everyone would want a live podcast. Nobody wanted that. They wanted a live Shark Tank event. So it's like, okay, I guess I'm an an angel investor now. So that's what they did. That's what we did. And I loved it. And you know, we made like 12 grand in a couple hours with this event. And I didn't have to spam my whole newsletter.
26:23 I only emailed them. And so the open rate was insane. Everything was super targeted and relevant. And then take it a step further. I did some AB testing and just like you, there's short subject lines and if I put the word Utah in it, it won by a lot. Okay, deal. Right, that was a close second place. And then my my subsequent follow-ups were like Provo or like Salt Lake, like it was relevant.
26:46 It was targeted. It was, you know, perfect for them. The smartest thing that you did there was rather than say I'm hosting event, it was getting them bought in by making it a survey where they could choose what type of event that they want. Because you have to imagine the hundreds of people that selected a live Shark Tank event. Like once you followed up and was like, "Hey, we're taking your advice and we're actually launching a Shark Tank event."
27:09 The invested interest Yes. in the fact that they chose that and you're listening to them, I bet you the conversion on that was crazy. Yeah. Cuz they felt invested like they helped choose it. I use polls like I I probably have 40 polls in my Beehive account. If I go to interactions polls, this was the actual poll. Shark Tank style live on stage, family potluck, crispies on stage or something live podcast recording.
27:30 Well, they voted that most. We were going to do both of these on a Saturday, but then I was like, ah, too hard. So, we just went with that. But, um, 405 votes on what you said 6,100 people got that email sent. Crazy engaged. So, this one was only you Utah. I added Idaho later. So yeah, 10% of people who not who opened, but who received the email voted on that poll.
27:55 Isn't that insane? Talk talk about pulling money from nowhere and different opportunities to find like $12,000 for an event that you were able to you were already going in town. You were able to identify which readers you had that already had some sort of brand affinity towards you because they subscribed to your newsletter. You actually asked them what they wanted to do.
28:10 You used the Beehive poll feature to survey them. And then you could probably I don't know if you did this, but you could have [clears throat] actually sent a different email based on the poll response. So those who actually did vote on the Shark Tank one, make them even feel more successful like, "Hey, you voted. We listened. We're doing the Shark Tank event.
28:27 Would love to have you here. Here's 20% off the like whatever." And then everyone else who voted on something different, be like, "Hey, thanks for voting." Unfortunately, like, we're not going with what you chose, but you know, make them feel special. Here's 10. Here's 20% off to go to this IRL event. It's going to be Shark Tank. It's going to be amazing.
28:43 such a easy lever that anyone with an audience of a few hundred to a few thousand could do for if you have any sort of aggregate sum in any location. Totally. I mean, and we made 12 grand and there were $29 tickets. Like, we underpriced it just because we didn't care. Like, we just wanted to test it out. And Utah's a small market. There's three times as many people in DFW where I live than there are in all of Utah.
29:05 So if if I ever wanted to go on tour, boom, I just make segments for every market and I do the same playbook and I can say if I made 12 grand in this market, I can make 30 grand in this market. You know, and and you could again going back to the MCP, just ask Claude, where are most of my subscribers located in terms of and and tell them the plan.
29:28 Be like, "Hey, look, I want to go on tour. I want to do this like little Shark Tank event in 10 different cities. Can you help me prioritize which 10 cities I should do that in?" Oh, yeah. Totally. Like why guess? Totally. All right. So I said go find tangential companies. Podium.com. This guy paid me 97 for something I sold. GoDaddy.com. He's paying.
29:42 He's highly engaged. patreon.com tag beehivesummit phase 5 tier 2. Hubspot. Hubspot booth podium. Zen business oxyabs. And then over here, here I would I would literally just go to I want to send an custom email to all of these people to see if they can sponsor an upcoming newsletter. Can you craft an email template that spoke to each of them? And then depending on how how frisky you're feeling, if you want to say, "Use my Gmail MCP and fire those emails off."
30:14 But we can get some right action here and get those out into the world. Dude, I'm a I'm a yolo guy, dude. Let's fire these off. You know what? Any of these things, like any of these kind of micro ideas that we're talking about is a business in and of itself. Chris, what do you do? Oh, I find high net worth individuals on newsletters so people can send more custom offers to them.
30:33 Oh, that's very specific and interesting. Very simple. I mean, there's so many newsletter adjacent services that we work with from designing your newsletter to helping you find more subscribers to like the day-to-day analysis and operations of a newsletter. But being the person who can come in to an existing newsletter who has 50,000 plus readers just to extract additional incremental revenue opportunities, whether it's a digital product, paid subscription, better ad sales, or hosting IRL events in different
31:04 cities. Like people that are sitting on these engaged email lists are just sitting on so much revenue potential. Like I'm way under monetizing my newsletter. I have one sponsor a week in my newsletter. I have no paid subscription. I have that one digital product that I did. I think I'm gonna launch a community in the next few weeks. Um, which will help a lot more there.
31:23 But as far as like there there's so much data that I'm sitting on and so much content that I've already created that I can repurpose that I just don't take advantage of. Yes, dude. You just said like there's so much value you can pull from a subscriber. I've actually been shocked to really learn what is the subscriber worth because there's a lot of numbers thrown around there like all right like 50 cents per month per subscriber.
31:41 you got 100,000 uh 50,000 a month if it but like there are people that have subscribers worth tens of dollars, $50, $30 because they're that dialed in. They're that segmented. And I've started playing around with I mean just look at this Utah example. 6,000 people generated 13,000 in revenue. So that one thing based on that one thing alone, my LTV was $2.
32:02 Okay. Well, then I add in like co-registration, another dollar. This sponsorships, this I mean this is I made this for my actual use case. These are things that I actually sell. And I didn't just value it based on LTV, but like profit, [snorts] like net profit to me. So this $5,800 offer, $6,800 offer, 5,800, 75, 97 co-registration ads, TK owners, and this is based on like.5% conversion.
32:29 Now, this is like a funnel. Like people have to get on calls. It's not like they're just clicking and sending me five grand. That doesn't happen, right? But I'm accounting for all that. Right here you've got the the value of a subscriber at $50. Now, everything looks great on a spreadsheet. I haven't proven this all out yet, but these are things that I'm actually selling and testing with my newsletter right now.
32:47 So, that that is what's possible for my personal newsletter. It all starts with the onboarding survey. They subscribe to me, they get the welcome email, but I want to know like what are you interested in? And for instance, this third line item right here, 40% or maybe even like 55% of people who fill out my survey say, "Yeah, I I'm interested in that offer."
33:07 They don't know the price yet, but gen in general, "Yeah, I'm interested in that." So, they're already giving me a warm yes. And I'm only assuming that 7% of them end up paying. So, I'm trying to be conservative here. And if you know anything, which I'm sure you've read a lot into psychology, which I love reading different books on psychology, but when someone actually writes down or says that they are interested in something, the likelihood of them following through because it becomes a part of their identity or
33:29 that they've already said something previously to indicate that that's something they're interested in is so much higher. Uh, so such like a smart lever to pull in terms of just asking them what they might be interested in. Price aside, and also playing the long game where you're not trying to convert them on a sale upfront, but know that you have that data living in in your beehive platform and in your database and you can circle back at any point in the future to sell them on that.
33:51 Yes. All right. Well, here's what we ended up with. It said it didn't get my permission to send the emails cuz I was distracted, but it wrote eight different emails for me. And I could have it go a step further and say, "Hey, find these people on LinkedIn and tell me like if they're even a decision maker for this type of thing." You said LinkedIn to see if they're a decision maker.
34:07 You could also just add them on LinkedIn directly. Send them like a note and now you're hitting them at multiple angles. Or you could just work into the outreach copy and say, "Hey, if you are not a decision maker, would you be willing to introduce me to someone who might be?" Because they obviously already like you. They've read a lot of your content.
34:24 They have a high open rate. They're clicking on your links. Some of them already bought something from you. But yeah, even though it didn't run because we were distracted and talking, you can just be like, "Hey, do it again. Send it from Gmail." And now you have 20 warm leads going out there. You'll probably close one of those 20 as a sponsor. Yeah.
34:39 And that again, found revenue from my newsletter. And that's without having to spam any of them but one, right? Totally. Oneoff emails. You watch The Office? I've seen some episodes. Okay. Well, there's one episode where Ryan invents this tool called Whoop. Did you ever see that one? N did not see that one. And it's it's like an app where you can send a text, an email, a fax, a call, everything all at once to the same person.
35:00 So someone needs to make basically a a woof for claude where here's an email, here's a person. I want them to have a a post card, a letter, a fax, an email, a text, a call, a LinkedIn, a Strava message, a Venmo. [laughter] I I think we just I think we ended the episode with the next billion dollar idea. I'm telling you, I love it. You can totally do that.
35:24 Tyler, anything else we missed? No, that was good. I think we ran through a lot of like the main skills that I use to run my newsletter. Think hopefully that inspired you to do some of this outreach for sponsors for your newsletter. I know right after this I'm going to go right to do the same exact thing and fire off all these emails and try to get some new sponsors for later this year.
35:43 Hopefully we convince some people, one that newsletters are an incredible channel for making revenue and two that using an MCP just is everything on superpowers and makes your life so much easier to scale these things. Tyler, where can we find you andor your company? Yes. So, company beehive h iv.com and then mostly on X and LinkedIn. My name Tyler Denk on LinkedIn and XDank tweets. Beautiful. Thank you, Tyler. Thanks for having me.