AI in Marketing: Neural Networks and Intelligent Advertising Platforms

AI in Marketing: Neural Networks and Intelligent Advertising Platforms

2025-10-29 15:43:00MoreLogin
Albert and LoopMe are AI platforms and work with neural networks. Learn how neural networks in marketing help automate advertising and improve campaign effectiveness.

Artificial intelligence is increasingly being integrated into digital marketing, offering marketers and businesses powerful tools for analyzing and processing large volumes of data. This data enables the creation of highly personalized advertising offers tailored to specific users. This approach is known as ultra-personalization, which significantly boosts user engagement and campaign performance.

In English-speaking markets, there are already fully functional advertising platforms built with neural network technologies. These platforms are available to both marketing specialists and business owners, helping them launch highly targeted and relevant ad campaigns. Use cases include creative generation, targeting, audience segmentation, and more.

Albert: AI-Powered Digital Marketing Automation

Albert is a powerful solution for automating marketing campaigns using artificial intelligence. The platform supports major digital advertising channels — from Facebook and Instagram (banned in Russia) to Google Ads.

Albert.png

One of Albert's main advantages is its ability to independently manage ad buying, optimizing budgets and improving campaign performance through deep data analysis. The system interacts with customers automatically via email, chatbots, social media, and even SMS.

Using machine learning, Albert evaluates which channels and formats are performing best in real time and dynamically adjusts strategies accordingly.

The platform is trusted by major brands such as Telenor, Crabtree & Evelyn London, Interactive Investor, Cosabella, Dole Asia, Redballoon, and Natori. For example, fashion brand Cosabella completely replaced its in-house marketing team with Albert. Fruit producer Dole saw an 87% increase in online sales after following the platform’s mobile-first budget recommendations.

Albert demonstrates how AI can not only respond to user behavior but also anticipate the most effective marketing strategies, making it a powerful tool in any digital marketer’s arsenal.

LoopMe: AI Platform for Mobile Video Advertising Optimization

LoopMe specializes in optimizing mobile video ads. Its algorithms identify target audiences with high precision by analyzing device types, user behavior, and interests.

LoopMe.png

Key features include automated audience analysis and fine-tuned ad strategy adjustments specifically designed for mobile users. LoopMe delivers higher ad performance and better targeting accuracy.

Feature

Description

Real-Time Optimization (PurchaseLoop™)

Our award-winning artificial intelligence technology optimizes campaigns in real time to drive measurable results. LoopMe guarantees that ads are shown to users most likely to take the desired action, such as installing an app or visiting a website. This continuous learning system increases overall advertising efficiency.

Control Groups (RISA™)

Unlike traditional surveys, we collect responses directly from mobile users in each campaign, forming control groups using LoopMe’s proprietary artificial intelligence system — RISA. These control groups reflect the real behavior of users, allowing us to evaluate campaign performance more accurately and identify which variables most effectively influence audience engagement.

Ecosystem Model

LoopMe is a leader in ecosystem modeling, developing proprietary AI models for every ad campaign. Our algorithms learn from huge datasets, analyzing more than 1,500 parameters during campaign setup and optimization. We create predictive models for advertisers to achieve higher reach, engagement, and campaign performance.

Real-Time Bidding (RTB)

The LoopMe RTB platform conducts real-time bidding, automatically adjusting ad delivery to ensure maximum relevance and impact for each impression. With AI-driven optimization, LoopMe delivers ads to consumers’ devices with unparalleled accuracy and measurable performance improvement.

The platform is trusted by leading global brands such as Microsoft, Norwegian Air, Philips, and AUDI.

Content Platforms Based on AI

Beyond ad platforms, AI-driven content generation platforms are growing in popularity. For example, Atomic Reach helps optimize and edit text, generate compelling titles and descriptions for websites and email newsletters. Companies like Accenture use it to create high-quality, engaging content that captures and retains audience attention.

Real Case Studies: Neural Networks in Advertising

Campbell's

Campbell’s leveraged neural networks to boost soup sales. The results were impressive: a 50%+ increase in product sales in a short period.

The Economist

Launched in 2014, this campaign aimed to grow subscriptions through dynamic banner ads across news portals. Real-time audience segmentation enabled automated changes in banner headlines and visuals, showing ads only to likely subscribers.

Over 1,000 variations of ads were created, leading to 60+ top-performing creatives and an ROI 10x higher than projected. The campaign attracted over 10,000 new subscribers.

Google

In 2014, Google launched its Google Outside campaign in London to promote Google Search. More than 3,000 dynamic creatives were displayed on public screens, customized in real time based on time of day, weather, and location.

Results: over 80% of viewers associated Google with advanced technology, and 1 in 5 people installed the Google Search app.

Campbell's (2016 follow-up campaign)

In 2016, Campbell’s used AI again to promote different soup lines via 1,800+ YouTube video variations, tailored to users' interests. This resulted in a 55% increase in sales and nearly 1.7 million ad views.

These cases prove that neural networks can significantly improve ad effectiveness and drive audience engagement, giving companies a real competitive edge.

The Future of AI in Marketing

AI will continue to become an integral part of digital marketing strategies. Here are five key areas where AI and neural networks will deliver the most value:

Precision Targeting

AI enables hyper-accurate audience prediction and segmentation, helping marketers understand consumer needs and tailor messages based on behavioral data and preferences.

Smarter Ad Targeting

Neural networks significantly enhance targeting precision, leveraging granular user data to launch campaigns that drive more conversions.

Deeper Customer Insight

With automated user behavior tracking, AI helps create highly personalized messaging, delivering content that resonates with each segment of the audience.

Improved Customer Experience

AI-powered systems provide the right message at the right time, improving user satisfaction and increasing ad relevance.

Increased Marketing Efficiency

AI automates repetitive tasks, freeing up time for strategic planning and creative work. Features like chatbots, personalized ad delivery, and enhanced segmentation are just the beginning.

How Media Agencies Use AI

Modern media agencies increasingly use AI not just for analytics but also to streamline operations and scale campaign management.

MoreLogin: AI-Powered Multi-Account Browser

MoreLogin is a browser that uses AI to manage multiple social media accounts. This is especially valuable for agencies handling dozens or hundreds of profiles. It prevents account linkage by assigning each browser session a unique digital fingerprint.

Facebook and DeepText

Facebook (banned in Russia) uses the DeepText neural network to understand text, content, events, and user intent. It helps filter harmful content and fine-tune ad delivery. With every new interaction, the algorithm becomes better at targeting.

YouTube

YouTube uses neural networks to power its recommendation engine and ad targeting system. Self-learning algorithms continually refine content delivery, increasing user engagement and ad ROI.

Netflix

Netflix uses AI to analyze viewer behavior, predict successful content, and generate personalized trailers and titles. In 2020, Netflix revealed that its AI can forecast show success, generate new film names, and estimate viewership potential by region.

Conclusion

AI and neural networks are revolutionizing marketing by offering businesses powerful tools for data-driven advertising, content creation, and audience engagement. As adoption accelerates, these technologies will play a key role in building efficient, personalized, and scalable digital marketing strategies.

Whether you're a media agency, brand, or solo marketer — integrating AI solutions like Albert, LoopMe, Atomic Reach, and MoreLogin can transform the way you approach advertising in the digital age.

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