Chapter 1: What is the main topic discussed in this episode?
I mean, there are upwards of 200 people that beta tested it and they have an account, you know, from marketing strategists all the way to very small marketing agencies. Nothing crazy. I want to say, I guess that comes down to my standards, but we do have solid traction. Okay. But just back to my question. So do you have paying customers today or are you pre-revenue? I'll be pre-revenue.
You are listening to Conversations with Nathan Latka, where I sit down and interview the top SaaS founders, like Eric Wan from Zoom. If you'd like to subscribe, go to getlatka.com.
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He's a CEO and founder of ALFIND, our all finder, which lets companies get a deep understanding over their ideal customers. It helps you understand exactly what your likes, hobbies, interests, and pain points mean. By using AI, they're able to figure out all these things out. So when you market your company, you're able to write your marketing copy, your case studies, everything more accurately.
Aris, you ready to take us to the top? Let's do it. All right. It's not All Finder, it's AI Finder, right? Well, it's Al Finder, actually. So it's Al Finder, already All Finder. That is very confusing because you're using AI, but it's Al Finder. I was very confused how to pronounce it. Doesn't that create a branding problem? It's pretty interesting.
It's a good tweak on AI and Al Finder, already All Finder. That was the whole idea behind the name. But it does heavily indicate the AI aspect. Here's the deal. With Outfinder, it's a very unique project that I'm working on right now. And the best way to describe it is that, let's say right now, the normal bread and butter AI company marketing, the process that they go through is that they...
look at the market, they see when to post something, they look at the historic data. There's so much data out there, so many tests out there that you can see for that industry based off of that customer. Let's say, when is it best to, I don't know, post on Instagram, for example. And then they use that trend to reflect on their customers. There are plenty of softwares out there.
How we look at it is somewhat completely different from an inverse perspective such that let's say you have a well you have a bookshelf behind you that's pretty convenient as an example um so let's say i look at your bookshelf and say oh these are the books that are there so based off of those books you probably are going to like this one but that's going to be um
So most likely it's going to be wrong because you might- Eric, sorry. I want to jump in. We're all over the place. I want to set some context first, and then we can talk more about the product. So who's buying this product first off? Who's the customer? Oh, marketing agencies. Okay. Marketing agencies specifically. And what are they paying on average per month to use the technology?
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Chapter 2: How does AI Finder differentiate from traditional marketing tools?
Now, when you say you put in $100,000, we want to get in the entrepreneur's mindset here. I mean, is that a lot for you? Is that your whole savings? Do you have to make this work? No, it's not. It's a pretty conservative amount. Okay. So why not go all in? Why not plow all your money in, build faster, grow faster, go quick? Oh, that's a good question.
Money doesn't always help you get there faster, especially with such an AI. It's such a huge risk on such an AI because we don't have a product that we are trying to, let's say, automate it with AI. The whole thing is an AI engine that we train it and then we find use cases for it.
So the very initial idea of mine coming from some AI backgrounds was that can we do behavioral analysis on people, understand the end customer and say, this is the best way to get to them. Okay.
Now, when we do succeed on the training of that AI with loads of data and so on and so forth, then we are able to build a product on top of it and then find out what's the best market, what's the best user for our product, which consequently is going to help them gain, let's say, more customers on their end. Understood. Now, do you have any customers today or are you guys still pre-revenue?
We are brand new. We've had a couple of crazy beta testers, huge companies, international companies. Locally, we have, I mean, there are upwards of 200 people that beta tested it and they have an account, you know, from marketing strategists all the way to very small marketing agencies. Nothing crazy, I want to say. I guess that comes down to my standards, but we do have solid traction.
Okay, but just back to my question. So do you have paying customers today or are you pre-revenue? I'll be pre-revenue. Okay, pre-revenue. We're all beta testers. So let's walk through, it sounds like you have a healthy beta sort of pipeline. So how did you get 200 people signed up for your beta over the past 12 months? Outreach, cold outreach, it's a very interesting product, to say the least.
Going inside a strategist mindset or a very small marketing agency's founder, owner, telling them you don't have to come up, let's say, per se, come up.
for a marketing strategy and this software generates the strategy for you and you can only focus after the strategy focus on you know executing implementing that strategy monitoring all the data on the ad platforms that's a huge relief for them because that's very interesting i totally get the product my question was how you got 200 people to pay attention right so when you say it's an amazing product
It's very, it doesn't matter. You can have an amazing product and no one knows about you. So it doesn't matter. Right. So my question, my question is specifically, how did you get these people to pay attention? Right. So when you pipeline wise, well, LinkedIn mainly. Okay. So what specifically did you do on LinkedIn? What was the target? Let me finish my question. Who, who were you targeting?
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Chapter 3: Who are the primary customers for this AI-based solution?
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That's nathanlatka.com forward slash remote and promo code L-A-T-K-A. Check it out today before you miss out. I mean, what if you spend all this time getting more and more data? You finally have a lot of data and then no one wants to pay. You just wasted, what, four years of your life? That's the beauty of an entrepreneur life.
Yeah, but isn't a smart entrepreneur going to try and hedge that by trying to sell the idea ahead of time or get to revenue as quickly as possible? Well, here's the thing. We can get to revenue. Well, it comes down to my mindset as a founder. We can get to revenue as soon as possible.
We can charge these beta testers cheap, let's say a couple of hundred bucks, and then get to quote-unquote revenue. But what's the point of that? We're building something far bigger because the moment we integrate into any agency's environment, Alphander is going to be the only software that they're going to use.
going to cancel all their other software they don't need anything else because right now they use softwares to get data to look at industry you know research and all that but with alpha you don't have to integrate any type of data that you already have if we already have all the data we need we just ask questions about your customer your client and then the goal is to make you independent of
even the businesses of any marketing agency. So you do that, generate the strategies, you get a couple of options, you select one, and then you directly launch from AdFinder. You select, let's say, Google platform, and then you launch. So your success is directly correlated to your ability to convince marketing agencies to cancel all their other software? To a degree, yes.
You've created a lot of friction for yourself. I'm trying to figure out why. Oh, well, go big or go home, I guess. Maybe people don't want to pay for it, right? And so your answer is we haven't tried to get people to pay for it. Well, we have. The two big companies that I told you about, we've had contracts. Those contracts totaled about $150,000 in nine months. So we tested with them.
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