Tag: neural networks in marketing

  • AI Bloggers Catch Up with Influencers in Engagement, but 40% of Projects Quickly Shut Down

    AI Bloggers Catch Up with Influencers in Engagement, but 40% of Projects Quickly Shut Down

    Virtual influencers are already able to compete with human creators in terms of audience engagement, but most of these projects are unstable and quickly shut down. Some AI accounts show an ER above 20%, and the maximum figure reaches 54.1%, surpassing the results of classic bloggers. Analysts from the digital agency AINET reported this to ppc.world.

    Study: How AI and Human Bloggers Were Compared

    Analysts at AINET (based on the LiveDune platform) compared 10 popular AI influencers and 10 classic bloggers in the lifestyle and travel niches with audiences ranging from 1,500 to 200,000+ subscribers.

    Comparison parameters included posting frequency, subscriber growth and churn, as well as average Engagement Rate (ER). The main conclusion: AI bloggers deliver high ER but quickly lose their audience.

    Key Figures: Engagement and Posting Frequency

    The maximum ER of AI authors reaches 54.1%, significantly higher than that of human influencers. However, in terms of posting regularity, virtual bloggers lag behind: on average, they publish about 17 posts per month, while classic bloggers publish around 32.

    Of the ten virtual accounts studied, only three regularly publish content, while the rest update their pages sporadically or sell courses on neural networks. Most AI projects stagnate or lose subscribers: the largest AI account with 211,000 subscribers lost more than 2,500 followers during the study period, while human authors grew steadily.

    AI Bloggers Catch Up with Influencers in Engagement, but 40% of Projects Quickly Shut Down

    Why AI Bloggers Are More Expensive and Unstable

    Maintaining a virtual character often costs brands 2–3 times more than working with a regular creator. Ruslan Minyazhetdinov, CEO of AINET, explains: the services of a good specialist cost about 50,000 rubles per month, while comparable quality from neural networks requires a team of at least three people: an art director, a visual manager, and a copywriter. Additional budgets go toward revisions and paid generations.

    As a result, content often turns out to be monotonous, and users notice the trace of artificial intelligence. The market grows mainly due to the emergence of new projects rather than the development of existing ones. The novelty effect quickly fades, and accounts fail to hold attention over the long term: four AI bloggers from the initial sample were deleted before the analysis was even completed.

    Forecasts and Prospects

    Nevertheless, according to Go Influence forecasts, by 2030, every third blogger in Russians’ feeds could be fully generated by a neural network. Recall that analysts recently found out what Russians want to see in an influencer: the main criteria for the audience were sincerity, honesty, literacy, intelligence, and expertise.

    Frequently Asked Questions

    Why do AI bloggers show high ER?

    High engagement is explained by the novelty effect and the unusual nature of the content, which attracts users’ attention. However, this effect quickly fades, and few manage to retain the audience over the long term.

    AI Bloggers Catch Up with Influencers in Engagement, but 40% of Projects Quickly Shut Down

    How much does it cost to maintain an AI blogger?

    According to Ruslan Minyazhetdinov, high-quality maintenance requires a team of three specialists, which costs 2–3 times more than working with a human blogger. Additional expenses include paid generations and revisions.

    Will AI bloggers replace human ones?

    Despite forecasts about the growing number of AI bloggers, they are unlikely to fully replace human authors. The audience values sincerity and expertise, which are difficult for artificial intelligence to replicate.

    Conclusion

    AI bloggers demonstrate impressive engagement figures, but their instability and high maintenance costs make them a risky investment for brands. If you are considering using AI avatars for advertising, it is important to weigh all the pros and cons. Perhaps it is worth turning to professionals who can help create an effective strategy using neural networks while minimizing risks.

  • AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    In the world of digital marketing, more and more evidence is emerging that artificial intelligence is not just a passing trend, but a real tool for improving efficiency. A recent A/B test conducted by kitchen appliance brand Cuisinart clearly demonstrated that AI video for advertising can outperform traditional production on key metrics. The brand, owned by Conair, compared a video created by Amazon’s neural network with classic studio creative, and the result was unexpected for many skeptics.

    Generative creative showed better click-through and conversion rates, confirming that mass video generation by neural networks is already ready for real advertising campaigns. This case is an important signal for all those who doubted the capabilities of AI in content marketing.

    Why AI creative didn’t fit the brand before

    Cuisinart’s marketing team had long wanted to use generative AI, but the quality of images did not meet the brand’s strict standards. As Kelsey Smith-Eisen, Director of Amazon Marketing at Conair, explained, even static banners had errors: incorrect shade of green, distorted logos, inaccurate numbers and text on appliances.

    “This even applied to simple banners,” she noted. However, with the rapid improvement in AI video quality, the company decided to test Amazon’s new tool — the “video creative agent.” Cuisinart became a beta tester for this solution, launched in 2024.

    Flexibility vs. planning: the advantage of neural networks

    Traditional marketing requires months of planning: booking studios, preparing locations. But the Amazon team works at a different pace — priorities change quickly, and it’s impossible to predict what will work in a week. Generative AI allows for quickly creating videos for current tasks, which is critical for dynamic platforms.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    A/B test: AI video outperformed traditional

    As part of the beta test, Cuisinart and its agency Global Overview launched two parallel campaigns with equal budgets: one used studio-shot video, the other used an AI-generated video. The AI version was refined with prompts, selecting from several options proposed by the agent. After a month, the results showed a clear advantage for generative creative.

    Nikhil Naniwadekar, lead engineer for generative and agentic AI at Amazon Ads, explained: the agent doesn’t come up with radically new ideas but analyzes the brand’s past successful campaigns. It “relies on signals” and creates variations of what has already worked, but with novelty — this helps combat banner blindness among consumers.

    Speed of progress: from static to nearly finished video in a year

    Smith-Eisen emphasizes: the key is not just the test results, but the pace of technology development. A year ago, generating even a static image was unreliable and not worth the effort. Now AI almost fully creates video, requiring only minimal post-processing.

    “In another year, if progress continues, we’ll be able to use videos immediately after generation, without refinements,” she predicts.

    What’s next: personalization and new formats

    Cuisinart plans to expand AI usage: creating not only product demos but also commercial videos. For example, if purchase data shows a person has moved to a new apartment, compact appliances can be shown; if a user starts cooking, relevant products can be suggested. The brand is also exploring the possibility of dialogues between AI characters, although for now it’s safer to use voiceover.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    Importantly, generated videos only work within Amazon Ads — they can’t be transferred to YouTube or Instagram. But Smith-Eisen believes this isn’t necessary: each platform has its own audience, and differences in style are natural. Amazon Ads, in turn, is developing the tool: in June, a “one-click video generation” feature appeared.

    Frequently Asked Questions

    What is AI content production?

    It’s the creation of advertising materials (videos, images, texts) using neural networks. Instead of studio shoots and a team of designers, AI generates videos based on text descriptions, saving time and budget.

    How much does one AI creative cost?

    The cost depends on the platform and complexity. On average, generating one video can cost from a few dollars to tens, which is significantly cheaper than traditional production, where a minute of video can cost thousands of dollars.

    Can I order AI UGC for a crypto project?

    Yes, many services offer the creation of AI avatars and videos in UGC (user-generated content) style for cryptocurrency projects. This allows for quickly scaling advertising without involving real bloggers.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    What are Synthesia alternatives?

    Besides Synthesia, there are HeyGen, Colossyan, Elai.io, and others. They allow creating videos with AI avatars and subtitles. Amazon Ads also offers its own tool, but it only works within the platform.

    Conclusion

    The Cuisinart test is another proof that AI video generation for advertising is becoming not just an experiment, but a working tool. Neural networks are already capable of creating videos that are not inferior to traditional ones in effectiveness, and surpass them in speed and scalability.

    If you’re thinking about implementing AI in your marketing, start small: test generating one video and compare the results. Maybe it will change your approach to content. And if you need help implementing AI tools into your advertising strategy — contact us for a consultation.