Google AdSense Bot course Update Part 3

Hello everyone, in my last video a few days ago, I discussed revamping our website and adding new features. We have made significant improvements and will soon push them to the website. I want to apologize to anyone who has had issues with our service before. We understand that we may not always be perfect, but we’re constantly working to improve. Now, as a bonus, I would like to offer a free tutorial on Google AdSense. Let’s dive right into it!

I have some exciting news to share with you today. While I was considering adding a new forum for people to discuss their challenges, I want to focus on something special right now. I want to show you how to create bots that can instantly increase your views!

Many people have a misconception that bots are only useful for Google AdSense and increasing views, but they are much more versatile than that. In this video, I will walk you through the steps to create bots that can help you get more views, and I’m doing it for free!

I apologize that I haven’t been able to offer this opportunity before, but I’m excited to do it now. So, please give me a few minutes to grab my iPad and sketch out the steps for you.

Before we get started, I want to address the biggest misconception about using bots. It’s not just about increasing your views for Google AdSense, because even if you have 20,000 views, you might only make a hundred dollars. I’m going to show you how bots can help you increase your views and achieve greater success. Hold on tight, and let’s get started!

I’m going to connect my iPad to this computer and stream my iPad screen so you can see what I’m doing. I’m considering whether to make these videos on a budget or not, but for now, let me connect my side pod iPod so you can see things.

I want to walk you through the basic formula for working with Google AdSense, but I’ll try not to over-explain things so that we can stay engaged and productive. Sorry, I’m a bit stunned right now. I’ve been working all day, but let me check to be sure that I’m doing things correctly before we proceed. Okay, now that I’m confident in what I’m doing, let’s dive in and get started.

When I say ‘engagement’, I’m referring to how people interact with your content – things like views, likes, and comments. These are all important factors that affect your earnings through Google AdSense. But here’s the thing: high engagement doesn’t always guarantee high earnings. For example, you could have 50,000 views, but only 10,000 clicks on your ads. On the other hand, you could have 500,000 views, but only 1,000 clicks.

So, what exactly is Google AdSense? It’s a platform where business owners can advertise their products or services. When people click on these ads, the business owner pays Google a fee. Let’s say I own a sneaker company and I want to promote my products. I can create an ad and choose whether I want to focus on reaching as many people as possible (impressions) or getting as many clicks as possible.

Ultimately, it’s up to me as the business owner to decide what my advertising goals are. And as content creators, it’s up to us to create engaging content that attracts viewers and encourages them to click on ads.

When it comes to advertising with Google AdSense, there are two options to consider: outreach and clicks. Outreach means paying for the number of impressions, which is useful when you want to reach as many people as possible, such as for an awareness campaign. On the other hand, clicks are when you want people to take action, like clicking on a sign-up button or calling you. This type of interaction is more expensive but can lead to more meaningful engagement.

It’s important to note that the ultimate goal of advertising is to encourage people to take action, rather than just having a high number of views or impressions. So, when planning an ad campaign, it’s essential to consider the type of interaction you want from your audience and adjust your strategy accordingly.

When you pay per click, it means you pay each time someone clicks on your link or visits your website. This is often what you pay for when you run an ad on social media or your website, and the more clicks you get, the more you pay. Let’s look at two diagrams: one with 50,000 views and 10,000 clicks, and another with 500,000 views and only 1,000 clicks. If we consider Google AdSense, which is a platform for businesses to advertise with Google, the one with more clicks would get more earnings.

This is because clicks are interactions that show someone is interested in what you’re offering. When you target high CPC (cost per click) content, like insurance keywords, you have to pay more. For example, if you get 50,000 views and 10,000 clicks with a CPC of $2, you would pay $20,000. Your earnings depend on the CPC and how much you get per click. So, if your content has a high CPC, like insurance, you can make a lot of money from clicks.

“Currently, online advertising is akin to gambling because the cost per click (CPC) is typically very high. This means that even with 50,000 views, getting 10,000 clicks can result in a significant payout of around $20,000, thanks to the high CPC. It’s important to understand that CPC and clicks are what bring in the big earnings, not just views. For example, if someone has 500,000 views but a CPC of only 0.70 cents and only a thousand clicks, they could be making less money than someone with only 50,000 views but a much higher CPC.

To optimize advertising strategies, two types of reports can be created using what is called “personality.” Personality is simply the model’s understanding of an entity. To explain further, imagine that human beings are entities and computers are models. Computers attempt to understand the interests of entities and present them with relevant ads. For instance, if someone is a shoe enthusiast, they will see ads related to shoes. Similarly, someone who gambles frequently will see gambling ads, while someone who plays video games will be presented with ads for new games on different platforms like PS4 or PS5.”

I work in the tech industry, specifically in software programming. As a result, when I browse the internet or social media platforms, I often see customized ads related to my field of interest, such as online courses or other programming-related content. This happens because computer algorithms or models have learned about my preferences and interests, creating a digital “personality” for me based on my browsing history and other data.

To achieve this level of understanding, tech companies like Google often track our online activities, especially if we are using their products like Android phones. As we go about our online activities, the system automatically logs our behavior and uses it to determine our personality and interests.

For example, if I’m a caterer who constantly talks about cooking techniques like “kick” or “throw,” my YouTube and browsing activities will reflect this, and I will likely see ads and content related to catering and cooking. This level of personalization is made possible by the computer algorithms that learn from our online activities and create a unique “personality” for each of us.

If you take my phone and look at my browsing history, you’ll probably notice that I’m interested in cars. This is because computers can track every website I visit and use that information to understand my interests. They can even analyze my messages to see what topics I talk about most. When companies create bots, they give them a specific personality to determine what kind of ads they’ll show. For example, if a bot is designed for fashion enthusiasts, it will show more fashion-related ads.

Sometimes, though, the ads we see aren’t always related to our interests. This could be because the website we’re visiting isn’t relevant to our interests, or because the computer algorithms are still trying to figure out what we like. Overall, computers use our browsing history and messages to show us ads that we’re most likely to be interested in.

Even if your blog is about a different topic, it’s important to consider the personality of your readers. Google has a lot of data on people’s search history, browser activity, and interests, so they can use that information to understand what people might be interested in. When companies create bots, they use this data to build a profile of their target audience. They create a lifespan model that determines how long the bot will be active before going offline again.

Sometimes, though, there are issues with account security. For example, Google might send a verification code to your mobile phone when you try to log in. This is because they’re pinging all the active devices associated with your account to make sure it’s you. If someone else tries to log in, you’ll receive a notification asking you to authorize the login. In short, it’s important to consider your readers’ interests and Google’s data when creating content or using bots. This can help ensure that you’re reaching the right audience and keeping your accounts secure.

Google uses a process called “pinging” to validate website traffic sources, which means checking if the source of the traffic is a legitimate user or a bot. Bots are often designed to have a short lifespan and visit a website briefly before leaving. When Google pings a traffic source and detects that it’s coming from a mobile phone or email address that’s no longer active, it raises a red flag. This could indicate that the traffic source is not legitimate, which could cause further investigation.

I think I’ll create another video to explain how to create an undetectable bot. I’ll try to explain it in a way that’s easy to understand but still keep some things for people in the class.

When people create bots, they usually have a short lifespan. The bots come online, click on ads, and then go offline. Some even use processes that can’t be cleared by clearing cookies. I don’t know if these programmers are smart or just know a lot about software programming.

Google wants to sell ads to people who need them, not just to anyone. Some people want to be anonymous, and that’s okay. My approach has never caused any issues in almost two years. It’s not just about fitting your traffic. You need to be authentic too. You can use good processes, good proxies, and good cookies, but if you get pinged, it needs to be authentic. If you’re creating a bot, it needs to be online to serve as a user. It can be hard to explain, but I’ll try my best in the next video.

Instagram can detect fake accounts by tracking specific actions performed on the platform. A bot, which is a computer program, performs only specific tasks and doesn’t behave like a human. It won’t browse through different videos or posts like a human would. When a bot is detected, Instagram will mark it as bot traffic. To avoid getting detected as a bot, we created a model that allows bots to stay active and mimic human behavior to pass the authenticity test. This model ensures that the traffic source is real and that the bot is genuine.

There are some misconceptions about previous traffic, and we will explain them further. However, the key takeaway is that Instagram can detect and remove fake accounts by tracking specific actions performed on the platform, and our model ensures that bots can pass the authenticity test.

When it comes to Google AdSense, there are many different opinions on what makes it successful. Some people say it’s all about reviews, while others emphasize engagement. I’ve seen so many videos on this topic, and I think it’s important to understand the underlying logic behind the system. That’s why I plan to create more videos to explain it in depth.

Currently, I have almost finished creating videos on this topic, which you can find on my website. The only thing left to add is the copy-modifiable code, which means that even if you don’t know how to code, you can simply copy and modify it to suit your needs. If you have any questions, please feel free to leave them in the comment section, and I’ll do my best to reply as soon as possible. Sorry for the long article today, I’ve been working all day and feeling a bit stressed out.