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Traffic arbitrage can no longer be imagined without neural networks. These technologies are no longer just a trendy fad — they’ve become an essential tool for any webmaster who wants to stay competitive. In the past, creating creatives, writing texts, and analyzing data required a lot of time and resources. Now, neural networks allow these tasks to be completed much faster and more efficiently.
Let’s be honest — traffic arbitrage has always been a race for efficiency. The one who tests hypotheses faster, finds working bundles sooner, and scales successful campaigns quicker earns more profit. Neural networks offer exactly that advantage — speed.
Take a concrete example. Previously, creating 50 banners for testing would take a designer 3–4 days of work. Now, using Midjourney, we can do it in 2 hours. And the quality has actually improved — the neural network generates truly unique and eye-catching images. This means you can test 5 to 10 times more hypotheses in the same amount of time, which directly impacts your revenue.
Another important point is cost. A good copywriter or designer will cost you hundreds of dollars per month. A subscription to a neural network is significantly cheaper, while giving you virtually unlimited possibilities for content creation.
But most importantly, neural networks help you break out of conventional thinking. They can offer unexpected solutions you wouldn't come up with on your own. For example, when creating creatives for a gambling offer, the neural network suggested using imagery from classic literature — which resulted in an unexpectedly high CTR in certain GEOs.
Moreover, neural networks are indispensable when working with native advertising in dating niches.
When it comes to image generation for traffic arbitrage, Midjourney remains the undisputed leader. Over the past year, the platform has made a real breakthrough in both quality and capabilities.
How do we use Midjourney in our work? It’s very simple. Let’s say we need to create a series of banners for a casino offer. We give a clear prompt:
“A young man in an expensive suit smiling while holding a stack of poker chips. The background is a luxurious casino with golden accents and beautiful lighting. Style — high-quality photorealism, like in glossy magazines. Aspect ratio 1.91:1 for Facebook.”
Within minutes, we receive dozens of image options. The best ones are slightly refined in Photoshop (neural networks sometimes make small errors — for example, they might draw extra fingers) — and the creatives are ready for testing.
One of the most valuable recent features in Midjourney is style consistency. You can now create entire series of images in the same visual style — perfect for stories or carousel ads. For example, in one project, I created a series of 15 images where the main character goes from his first visit to the casino to a major win. This approach significantly increased engagement.
In 2025, ChatGPT is no longer just a chatbot — it's a powerful, multifunctional tool.
We use it at every stage of our workflow, from niche research to campaign performance analysis.
For text creation, we’ve developed an efficient system. First, I ask it to generate 5 variations based on my brief. For example:
"Write a sales text for a crypto exchange landing page (800 characters). Key points: exchange speed from 2 minutes, best rates, 24/7 support. Target audience: men aged 25–45 who understand crypto. Include 3 arguments and 2 objections with counterarguments."
Then we select the best version and ask it to improve it:
"Make this text more emotional and add specific numbers."
After the second iteration, I make final manual edits. This approach saves up to 70% of the time compared to writing texts from scratch.
But ChatGPT is useful not only for content creation. We regularly upload CSV files with campaign results and ask it to identify patterns. On one occasion (from the author’s own experience), such an analysis revealed that creatives with green accent colors had a 22% higher CTR in Scandinavian countries — a nuance we might have missed on our own.
Stable Diffusion is a powerful alternative to Midjourney for those who need full control over the image generation process. Unlike Midjourney, it’s an open-source solution that can be installed on your own server.
The main advantage of Stable Diffusion is the ability to fine-tune the model. We use specialized checkpoints (model versions) for different tasks. For example, RealisticVision is great for photorealistic images, while RevAnimated works well for stylized creatives.
One particularly useful feature is LoRA technology, which allows you to “fine-tune” the model on specific data. For a client in the iGaming niche, the author of this article created a LoRA adaptation based on the client’s brand style. Now, all generated images automatically align with the brand book.
Another major benefit of Stable Diffusion is privacy. All images remain on your side — they can’t be tracked or blocked. For many verticals, especially in crypto and gambling, this is absolutely critical.
For those who are just starting to explore neural networks or don’t want to pay for subscriptions, Kandinsky by Sber is an excellent option. This service is completely free and has a good understanding of the Russian language.
While Kandinsky’s image quality is slightly behind Midjourney, it’s more than sufficient for many tasks — for example, creating simple banners or article illustrations. We often use it when we need to quickly generate a few variants for testing.
Sample prompt:
"A young woman in a white lab coat holding a medical chart. Background — a modern clinic. Style — photorealism. Aspect ratio 16:9."
Kandinsky handles such tasks well and produces quite decent results.
Video content is becoming increasingly in demand in traffic arbitrage, and Synthesia is one of the best tools for producing it. The platform allows you to generate videos with virtual presenters who look and sound like real people.
We use Synthesia to create teasers and promotional videos. The process is simple: choose a presenter from a large library, upload the script they should read, and within minutes you have a ready-to-use video. You can even upload your own voice and have speech synthesized from it.
One especially useful feature is that Synthesia supports over 120 languages, making it ideal for multilingual campaigns. For example, the author of this article created the same ad in five languages — and all the videos looked equally professional.
No article on neural networks in arbitrage would be complete without mentioning anti-detect browsers. In 2025, MoreLogin is not just a tool for bypassing blocks, but a full-fledged platform for safely managing multiple browser profiles.
Teams use MoreLogin in three main scenarios:
Mass creative testing — setting up 100–200 profiles with varied settings to test different bundles.
Team collaboration — distributing profiles among multiple team members.
API integration — automating campaign optimization through direct connections with other tools.
The key advantage of MoreLogin is reliability. Unlike many alternatives, it actually protects against bans — which is critically important when using AI-generated content that may occasionally trigger moderator scrutiny.
Like any tool, neural networks have their strengths and weaknesses. Let’s break them down.
Speed – Neural networks complete tasks much faster than humans. What used to take days now takes hours.
Cost savings – No need to hire designers, copywriters, or analysts for routine tasks.
Unique content – Neural networks generate original content, eliminating copyright issues.
Scalability – You can simultaneously create dozens of creatives and texts.
24/7 availability – Your “digital employees” never sleep or take days off.
Need for supervision – AI sometimes makes mistakes: factual errors in texts, visual flaws in images.
Limited creativity – Truly original ideas still often require human input.
Prompt dependency – Good results depend on how well you formulate your task.
Ethical concerns – Some platforms may block content created by AI.
Technical requirements – Tools like Stable Diffusion may need powerful hardware to run effectively.
To sum up: Neural networks in 2025 are not the future — they are the present of traffic arbitrage. They help speed up every part of the workflow, reduce costs, and increase campaign efficiency.
If you’re not yet using these tools, here’s a simple plan to get started:
Register for ChatGPT and Midjourney — these are the basic tools you should start with.
Create a few simple creatives and texts to get a feel for the process.
Set up MoreLogin for safe and scalable testing.
Analyze your first results and fine-tune your workflow.
Gradually add new tools as your needs grow.
The most important thing is: don’t be afraid to experiment. Neural networks unlock massive potential for those who are ready to use them. Within a month of consistent work, you’ll start seeing results — and within three months, you may completely transform your processes and boost your effectiveness many times over.
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