Make Money With FREE Google Data - New Method!

If data equals money, which we all know it does, then I have an absolute gold mine hidden in a back door of Google that you can use to make money starting right now. And it's actually super simple because the fact of the matter is data presented differently equals huge money. And yeah, I have proof: according to The Economist, the world's most valuable resource is no longer oil but data.

Farmers' data will be worth money; your car's data may soon be more valuable than the car itself. Yeah, friends, these are interesting times we're living in where data is worth money. And since data can be found online free if you know how to find it, then yeah, it's basically like getting free money.

In this video, I'm going to show you exactly how to do just that. But first, let's have a look at some examples of using data to make money. First, we have Visual Capitalist.

This is a website dedicated to presenting free information in an interesting way. We could see here a visual guide to the global debt, visualizations of July on the Veroni app, a visual guide to stock markets, America's energy divide, and even the top 25 companies according to their market cap. You could see here they're just presenting data in a different way that makes them tons of money.

In fact, according to AHRS, the free traffic they get from Google alone is worth over $169,000 each and every month. But since most of their data is in the financial niche, I'm guessing it's worth a lot more. The next one, Data is Beautiful, has Reddit and YouTube channels presenting data in an interesting way via video, with over 1.

8 million subscribers. You can see that they have tons of videos visualizing different data, from the most popular TV shows to the fastest-growing religions, Olympic gold medals, and even different things in the financial sector. And again, this is all data you can find online for free.

If you're excited about this, smash the like button because I'm going to reveal something that, in the world of data, is pretty much like finding a hidden gold mine. Next up, in the world of politics, we have a company called 538. They are literally going out there and visualizing different data based on presidential polls and politics and different things like that.

And you can see they're just making these little charts, which is basically the same thing the news is doing all the time. And again, this is data that's available free online anyway. Next up, we have different YouTubers and people with blogs like Verium or Data Geek.

These guys are going out there and finding different trends in technology, polling, finance, and different things like that, making tons of money presenting the data in a different way, much like YouTuber Meet Kevin, who makes a ton of money online. He's literally just showing different stats and things like that from the Federal Reserve—why the stock market's tanking, and on and on we go, basically presenting data in a different way. Yep, again, data that's available free online anyway—he just presents it differently and makes tons of money.

But again, remember, we don't have to be on camera. Many of these sites are just showing the charts and graphs with a little bit of music or a voiceover, or even AI voices. Some of them, like Visual Capitalist, just have little images on their blog, and they're making tons and tons of money.

You could see that people are interested in all kinds of crazy data, from how many humans have ever lived to the most reliable car brands, richest countries in the world, S&P 500, public domain, and on and on we go—tons of data, which until now was kind of hard to find. But my friends, that is all about to change right here, right now, because we can see this data is worth lots of money. To show you a list of other sites using this type of data, you have 538, Our World in Data, Pew Research, Trading Economics, The Economist, Data Wrapper, Coin Market Cap, and on and on we go.

Some of these, like Coin Market Cap, we can see are just presenting info on different crypto prices. And take a look at the traffic stats: wait a minute, what? $17 million a month worth of free traffic from Google!

And literally, all they're doing is organizing data that's available free online anyway. Yep, that's exactly how this works. And don't worry, we don't need to be the next Coin Market Cap or some giant company.

We can do this in a super small way and make a pretty decent living. And that brings us to data visualization magic—using our creativity to present data and information in an entertaining or engaging way, simplifying it for our users and making it more attractive and dynamic. Because let's face it, nobody just wants to read a spreadsheet or text document, except for a couple of weird people like myself.

Most people want this visualized in a different way so that it's easy to understand, colorful, and actually draws attention. And that is where you come in. We can transform complex data into captivating content with these creative techniques.

Number one: statistic infographics. Much like we see here at Visual Capitalist, they are doing all kinds of infographics that look great, presenting the information in a different way that's easy to understand. Using this method, you can turn numbers into eye-catching visuals that pop.

You can use programs like Canva or different data programs that'll actually do this for you. A quick Google search will find you all kinds of them, and I'll also include some in the notes of this video. Next, we can have interactive insights, such as clicks, slides, and slideshows.

Presentations, PowerPoint, and on and on we go, or we can use Motion Graphics, where we're doing actual videos. We can break down complex data into bite-size, easy-to-digest bits and turn it into an animated GIF to be shared on social media, obviously promoting our website or something that is related to that data. What we're going to do is take data about a specific topic; let's say we do something like real estate.

We are then going to take that data, make something engaging, and then point to something that makes us money, whether it is a website with ads, whether it's an affiliate offer, whether we're building a mailing list, or anything related to that data. For example, let's say, like Visual Capitalist, we see something like U. S.

crime rate statistics. We can take something like this with over 5,000 searches a month, and since these people are looking up crime statistics, they're probably interested in crime and safety. We can promote all sorts of things that are related.

Let's say, for example, we wanted to promote a home security system like this one that pays $600 for a simple phone call. That's right—this affiliate offer gives you a custom phone number; you put it on your website, and when people call that number and stay for a length of time, so long as they're actually interested in security systems, you can get paid. The key to making this work is to have the way you make money closely tied to whatever the data is about.

The next thing we can do is unique visual vibes, spicing up our data with radar points, graphs, bar charts, little racing horses, and different things that keep the user engaged but also teach them something at the same time. Using this strategy, you can get tons and tons of traffic. We can also go through—if you want to do a little bit more work and probably make some more money—to use data storytelling, where we take a piece of data and talk about how it applies to the average person.

Using this, you can weave a narrative that guides viewers through insights with clarity and style. The key here is to make data more accessible, engaging, and fun. But how are we going to get this data?

I mean, you understand that it's free and can be used to make money online, but where do we find data? How do we know what data to use, and how is it going to put money in our pocket? Well, I'm glad you asked because now it's time to reveal the hidden back door on Google to find tons of free data that you can use to put money in your pocket.

Drm roll, please! Introducing the Google Dataset Search. If you were to go over to Google and search "Google Dataset Search," you're going to see the first result here is, yeah, the Google Dataset Search.

It looks like this. If we were to take a topic, let's say we wanted to go for crime statistics, we can see that it's going to pull up different datasets related to whatever it is we type in. Or let's say we want to do something like GoDaddy; maybe they have some GoDaddy information.

Or let's say we wanted to do the stock market or real estate in Florida. We can see here different datasets—we found over a hundred—and these datasets are closely related to real estate in Florida. You could get all transactions for house prices, median days on market in Florida, and if we want to find out how long houses are sitting, it's going to show you the average time to sale and different things like that.

Using this tool, you can get all kinds of data points and information on virtually any topic you want. As we mentioned earlier, Visual Capitalist is making a ton of money. According to Guru, they're making like $16 million a year, all with data.

Using these data points, you could see the real estate property managers in Florida showing the revenue they have. I mean, this stuff is absolutely insane when you start to think about what you can use this for. Maybe I could start a website about how to become a property manager or how to boost your property management business, and I can use this data to show what the average people are getting, what the top people are getting, different states, different sizes, and the whole nine yards.

Or let's say we wanted to do real estate prices in the USA. Maybe I make a generic site about real estate prices and trends. Just look at the results for Florida real estate here on YouTube; you can see that some of these guys have tons and tons of views just talking about different trends in real estate prices and how long things are sitting on the market.

On and on we go again—data presented differently can make you rich if done properly. Using these Google datasets, we could pretty much find data on anything we want. Now, it's very important to take a look at where the data comes from and the license.

Sometimes you do have to credit where the stuff comes from, and sometimes you can't use it at all. So, make sure that you do read and follow the instructions of what the dataset allows you to do with it. But for the most part, I found that a lot of this is just public data they're making available anyway, and you can get as specific as you want.

We could do "air fryer" and see what kind of trends there are for air fryers, the global air fryer market, and you could see it's. . .

Giving data on how big the air fryer market is, the Google Dataset Search operates similarly to Google, but is focused on datasets. These are datasets that people put in different formats so that they can be used by news outlets, websites, and for tons of different uses. What we're going to do is use these datasets—obviously the ones we have the rights to use—to create data-driven content.

You can use this as a blog post; you can throw this data into AI, extrapolate it, change it, get reports on it, make graphs, and on and on we go. In fact, if we were to take data like this, we could go to ChatGPT and say, “Make this data visual,” put in the data right like that, and you can see it will make all kinds of different graphs, visualizations, and charts based on the data you provide. This is actually pretty cool and super easy!

The key is in picking a select niche; maybe you're doing something on the growth of different kitchen products, the popularity of different chefs, or inflation and groceries. I mean, we could search “inflation USA,” right like this, and we have all kinds of different data about USA inflation. In fact, down here it gives us a little overview, and we can go through and make different charts based on inflation, make videos on it, blog posts—the whole nine yards—and it gives us all kinds of cool charts and data points.

So, we could go out there and do something in a specific niche, like housing prices, consumer index prices, inflation, or anything like that. The ways to make money are by developing different products or services; maybe you have a guide on how to beat inflation or save money. You could build an audience and do collaborations and sponsorships, or we can directly monetize our content with ads, affiliate programs, a mailing list, and more.

Of course, number six is to go through and do direct affiliate marketing strategies, much like I showed earlier, where you go to OfferVault and get an offer that is related to whatever your data is about. Some example niches this works in are climate and weather data, financial market data, social media data, and demographic data. You could go through and do something about a specific city or state, image and video datasets, natural language processing, different datasets on AI, health care, traffic and transportation, retail and e-commerce, education, sports data.

A lot of people are going out there and doing basketball; as you can see, there are tons of people just showing basketball stats, again using data that's free online, visualized differently to make tons of money. We can also see public opinion and survey data, consumer electronics, and more. If you want an entire list, check out downloadnotes.

com. But wait, there's more! Here’s a list of ideas and uses that you can use with this tool to create content that you can use to make money online.

First, you can do trend analysis, where you're analyzing different trends in finances and hashtags. You can conduct audience research, topic validation to find out if a topic is valid and worth doing content on or not, and competitor analysis. You can engage in content planning, visual content creation—as we showed with AI—and create a social media strategy to present data points in a specific way that's going to push whatever it is you're trying to sell.

Think top dropshipping products. Yep, we can go here and find all kinds of dropshipping trends, right like this, and we could see here over 85 datasets related to dropshipping. We can make content about this to our heart's content.

We can even use this to create SEO-optimized content to get free traffic from Google, conduct influencer research, and foster audience engagement, where you could use these posts on Facebook to get engagement around a certain topic and then point to something that makes you money. Let’s say we wanted to do something like affiliate marketing: we can see all kinds of different datasets around affiliate marketing that we can use to create a visual, entertaining piece and then point people to an affiliate marketing course, project, or something like that. We can also use this for content repurposing, video content ideas, benchmarking—where you're comparing different products, different industries, or pretty much any comparison—you can do hashtag research, where you can find popular hashtags to help social media marketers get more traction by using these datasets, ad campaign planning, audience growth, and on and on we go.

There are tons of ways to make money with these datasets, and using the Google Dataset Search is a game changer for finding content in your niche, because let’s face it, everybody likes statistics when they’re presented in a different way. That’s why politicians use them, marketing companies use them, and they’re virtually seen everywhere. As I've said before, data structured differently can make you lots of money.

But remember, this is a business, so the results are not typical, implied, or guaranteed. While making content and using data can generate lots of money and has made many people tons of money, the average person trying to make money online makes nothing. If you want to get the notes from the video—including the lists, the tables, the niches, and everything I talked about—check out downloadnotes.

com. And if you enjoyed this video, smash the like button and check the description for more videos on how to use data to make tons of money!