Introduction to the Marketing of the Future
AI-generated video marketing solutions are quickly becoming one of the most dynamic trends in Poland’s digital marketing landscape. With the rise of generative AI tools and advanced models enabling hyper-personalized content, companies can now produce materials faster, more efficiently, and at lower cost than traditional methods. This opens opportunities for expanding campaign reach while engaging users with tailored messages that respond to their unique needs. The use of AI in online advertising is particularly visible in e-commerce and social media, where speed and personalization are redefining effectiveness standards.
At the same time, content hyper-personalization is evolving beyond standard demographic segmentation, leveraging behavioral data, purchase history, preferences, and location. Combining personalized video campaigns with AI-generated content allows brands to create truly unique experiences for each viewer — such as customized ad videos that match individual communication styles.
Generative video technology enables automatic creation of scripts, animations, visual effects, and characters conveying tailored messages. Tools like Synthesia, Runway, and Pika Labs let marketers produce professional video content in minutes instead of days. Integrating audience data supports multiple content variations for different segments or individual users, boosting campaign impact and highlighting the growing role of AI in digital advertising.
Hyper-personalized content relies on first-party data and predictive algorithms to identify the most effective messages, offers, and formats for each user. Applications include tailored product recommendations, dynamic landing pages, custom emails, and social media ads. By merging behavioral insights with generative AI video, marketers can create richer experiences that increase engagement and campaign efficiency.
Combining AI-powered video with hyper-personalization enables campaigns where every recipient receives content relevant to their relationship with the brand. This improves conversion rates, optimizes budgets by avoiding uninterested audiences, and, along with real-time analytics and automated reporting, helps marketers adapt campaigns based on actual results.
More Polish companies are now implementing AI video solutions alongside hyper-personalized content and AI in online advertising to enhance communication effectiveness and build long-term customer relationships. E-commerce brands automatically generate product videos for different audience segments, while financial institutions use short, personalized videos in emails and social channels. Dynamic testing and personalized recommendations are becoming standard practices in modern strategies.
Privacy and ethics are essential: companies must ensure GDPR compliance, transparency, and user control over their data. Only then can hyper-personalized marketing and AI-powered video deliver real value, build trust, and increase campaign efficiency.
The synergy of AI video, hyper-personalized content, and AI in advertising forms the foundation for marketing strategies in the years ahead. Investing in these solutions enhances communication relevance, engagement, conversion rates, and budget efficiency, though success requires continuous testing, optimization, and monitoring.
AI Tools and Examples in Generative Video Marketing
There is a wide selection of tools supporting AI-generated video marketing on the market. One of the most commonly used is Synthesia, which enables rapid creation of professional content featuring virtual presenters. Supporting multiple languages, it facilitates international campaigns and scalable communication strategies while simplifying the execution of AI-powered video initiatives.
Another popular tool among marketing teams is Runway, offering advanced video creation and editing powered by AI algorithms. With features like automated animations, visual effects, and dynamic editing, marketers can craft campaigns precisely targeted to chosen audience segments. Integration with personalization tools further enhances campaign efficiency.
Pika Labs focuses on automating short-form video production, particularly valuable for social media. Its capabilities support both AI video creation and hyper-personalized content marketing, enabling dynamic adaptation of ads to trending topics and user preferences.
Analytical tools and content-testing platforms are also key components of the AI marketing ecosystem. Solutions such as Optimizely allow marketers to analyze user responses to different video variations and adjust campaigns in real time, enhancing the impact of AI video production. Similarly, Dynamic Yield supports automatic audience segmentation and delivers tailored video content, a cornerstone of hyper-personalized content marketing.
Practical applications of generative AI video marketing in Polish companies range from dynamic product ads in e-commerce to personalized video content in newsletters and social media campaigns. Online retailers can automatically generate videos showcasing product variations or recommendations based on user behavior. Combining AI-generated video with hyper-personalized content marketing allows campaigns to closely match audience expectations, significantly boosting conversions.
The table below summarizes key tools supporting AI-generated video marketing along with their features and applications in hyper-personalized content marketing:
| Tool | Key Features | Marketing Applications | Link |
|---|---|---|---|
| Synthesia | Virtual presenters, multilingual videos, fast production | Ad content, training, social media | Visit site |
| Runway | Animations, visual effects, dynamic video editing | Ad campaigns, storytelling, social media | Visit site |
| Pika Labs | Automated short-form videos, effects, captions | Social media, product ads, trend marketing | Visit site |
| Optimizely | Content variant testing, dynamic user adaptation | Video campaign optimization, hyper-personalized content marketing | Visit site |
Using these tools allows marketing teams to automate campaign creation with AI-generated video while enhancing effectiveness through hyper-personalized content marketing. This approach increases audience engagement, improves conversion rates, and enables more efficient budget management. Integration with AI analytics, CRM systems, and marketing automation platforms supports ongoing performance monitoring and continuous optimization of marketing strategies.
Hyper-Personalized Content Marketing – Practical Applications
Hyper-personalized content marketing has become a key trend for Polish brands in 2025. It involves tailoring marketing messages in real time based on user behavior, interests, and purchase history. This approach results in campaigns that are more precise, engaging, and conversion-driven.
In Polish e-commerce, recommendation systems integrated with email campaigns are increasingly common. One analytics team reported that implementing such hyper-personalization led to a double-digit increase in monthly conversions. Personalized newsletters, adjusted to customer purchase history and preferences, also reduce the risk of sending irrelevant messages.
The effectiveness of hyper-personalization grows significantly when combined with generative AI video. Marketers can create campaigns where each recipient receives a unique video based on tailored scripts — considering purchase preferences, audience segment needs, and demographic data. Automation specialists note that generative video allows thousands of variations without manual production, lowering costs and maintaining consistency.
Platforms like Dynamic Yield and Optimizely enable advanced hyper-personalization strategies. These systems combine real-time data analysis with automated creation and testing of personalized messages, allowing marketers to optimize engagement and sales outcomes. As experts emphasize, “AI doesn’t replace creativity, but it helps quickly validate effectiveness.”
Polish brands increasingly integrate hyper-personalization tools with social media and programmatic advertising. For example, Facebook and Instagram ads can dynamically adjust text and generative video content based on user activity, preferences, and prior brand interactions. This approach improves message relevance, reduces campaign costs, and enhances ROI.
Hyper-personalization is not limited to e-commerce. Banks, insurance companies, and telecom operators also deploy data-driven communication models, offering customers proposals tailored to current needs. This strengthens loyalty and increases user satisfaction.
Modern analytics platforms also enable real-time monitoring of user behavior. Content can dynamically evolve while browsing a website or reading a newsletter. Specialists highlight that this allows adjusting not only the product but also communication style, video length, or visual format — significantly boosting engagement and interaction time.
The table below highlights the most important hyper-personalization tools and their key applications:
| Tool | Features | Applications | Link |
|---|---|---|---|
| Dynamic Yield | Audience segmentation, product recommendations, content testing | E-commerce, email campaigns, personalized landing pages | Visit site |
| Optimizely | Content testing, real-time personalization, data analysis | Marketing campaign optimization, email, video | Visit site |
| Bloomreach | User behavior analysis, dynamic recommendations, content personalization | E-commerce, content marketing, personalized experiences | Visit site |
| Segment | Data collection & integration, audience segmentation, automated personalization | Omnichannel marketing, automated campaigns, personalized communication | Visit site |
Leveraging these tools allows Polish marketers to enhance campaign effectiveness while building long-term customer relationships through precise message targeting. Integration with generative AI video enables fully personalized and interactive experiences, significantly improving content appeal. Pilot campaigns show noticeable increases in user engagement within days of implementation.
Synergy of Generative Video and Hyper-Personalization – The Future of Marketing in Poland
The combination of AI-generated video marketing with hyper-personalized content marketing opens a new dimension for advertising campaigns. Marketers no longer need to rely on a one-size-fits-all creative — each recipient can receive a personalized video tailored to their preferences, purchase history, or online activity. This synergistic strategy increases campaign effectiveness, boosts engagement, and makes marketing budgets more efficient.
Examples of synergy between AI-generated video marketing and advanced hyper-personalized content marketing are becoming increasingly common in Poland. Industry analysts report that e-commerce, finance, and telecom companies experiment with automatically generated video spots, adjusting visual, textual, and product layers in real time to each recipient. The result is an individualized message reflecting user needs and behavior, which significantly improves conversion rates and shortens the purchasing journey.
Technologies enabling such campaigns include AI video generation tools like Synthesia, Runway, and Pika Labs. Combined with personalization platforms such as Dynamic Yield and Optimizely, it’s possible to create hundreds of fully customized video variations. In practice, this makes every campaign dynamic, precise, measurable, and scalable.
This means that ads on social media, newsletters, landing pages, or display campaigns can react in real time to user behavior. AI-generated video marketing combined with hyper-personalized content marketing enables adjustment to demographics, purchase history, location, device context, and even time of day. This level of personalization translates to higher engagement rates and increased campaign ROI.
Industry reports, including analyses by IAB and Deloitte, indicate that in 2025 Polish companies will increasingly adopt AI-generated video marketing combined with advanced hyper-personalized content marketing. This trend is relevant not only for e-commerce but also banking, telecommunications, and the service sector. Early adopters of these technologies gain a competitive edge through precise messaging and higher campaign effectiveness.
The role of marketers is also evolving — they no longer just create individual creatives, but manage automation processes, analyze data, and optimize content in real time. Collaboration between hyper-personalization tools and generative video technologies allows building creative, engaging campaigns that are measurable and scalable.
The table below shows examples of tools supporting the synergy between AI-generated video marketing and hyper-personalized content marketing along with practical applications:
| Tool | Features | Applications | Link |
|---|---|---|---|
| Synthesia + Dynamic Yield | Virtual presenters, audience segmentation, dynamic video variants | Personalized e-commerce ads, newsletters, social media | Synthesia / Dynamic Yield |
| Runway + Optimizely | Advanced generative video, content variant testing, real-time personalization | Social media campaigns, landing pages, display ads | Runway / Optimizely |
| Pika Labs + Bloomreach | Short-form video automation, product recommendations, dynamic personalization | Social media marketing, product campaigns, newsletters | Pika Labs / Bloomreach |
Through the synergy of AI-generated video marketing and advanced hyper-personalized content marketing, companies in Poland can create fully tailored campaigns for each individual recipient. Integrating technologies such as generative video and advanced hyper-personalization strengthens message effectiveness, boosts conversions, and provides a tangible competitive advantage in 2025.
Projected Growth of AI Video and Hyper-Personalization in Marketing in Poland (2025–2028)
Based on trends observed in industry reports from IAB, Deloitte, and analyses of the e-commerce and digital marketing market in Poland, a significant increase in AI-generated video marketing and hyper-personalized content marketing is expected in the coming years. Although the figures presented in the chart are expert projections, they clearly show a growing importance of these technologies in the marketing strategies of Polish companies.
The forecast predicts that by 2025, approximately 25% of marketing campaigns in Poland will use AI-generated video marketing, while 20% will leverage hyper-personalized content marketing. In subsequent years, adoption of these technologies is expected to grow steadily, reaching 70% and 65% respectively by 2028. This trend is driven by increasing availability of AI tools, higher quality first-party data, and greater awareness among marketers of the benefits of content personalization.
The rise of generative AI video marketing brings tangible benefits for Polish businesses. Video automation enables companies to produce hundreds of ad variants quickly, responding to trends and audience preferences in real time. Meanwhile, hyper-personalized content marketing creates unique experiences for each user, boosting conversion rates and fostering customer loyalty.
For marketers in Poland, this forecast serves as a strategic guide. Companies that start implementing AI-generated video marketing and hyper-personalized content marketing today will gain a competitive edge and react more swiftly to changing audience expectations. Integrating these technologies with social media, newsletters, and landing pages allows the creation of coherent, measurable, and scalable marketing campaigns.
It is also important to highlight that the growth of these trends must go hand-in-hand with ethical data handling and privacy. Collecting and analyzing first-party data for hyper-personalized content marketing should be transparent and compliant with GDPR regulations. Only then can companies build audience trust, a critical factor in campaign effectiveness.
Visualization of projected growth of AI video and hyper-personalization in marketing in Poland (2025–2028)
In summary, the forecast clearly indicates that AI-generated video marketing and hyper-personalized content marketing will be key elements of marketing strategies in Poland through 2028. Companies that adopt these technologies early can expect higher customer engagement, better conversion rates, and more efficient use of marketing budgets.
The Future of Marketing in Poland – Key Recommendations for Marketers
Looking at technological developments, it is evident that AI-generated video marketing and hyper-personalized content marketing are not temporary trends but permanent components of marketing strategy. Companies that implement these technologies today will gain a competitive advantage, better meeting customer needs and improving campaign effectiveness.
The future of marketing in Poland relies on several key principles. First, content automation and personalization are becoming standard. Platforms such as Synthesia, Runway, and Dynamic Yield allow marketers to create videos and marketing content that adapts in real time to individual recipients. AI-generated video marketing simplifies producing thousands of variants tailored to specific audiences or individual users.
Second, data analysis and customer behavior monitoring are foundational to every campaign. Hyper-personalized content marketing requires precise collection and use of first-party data to deliver messages that resonate with recipients. In practice, every campaign becomes measurable, and marketers can adjust video and text content in real time to user preferences. Companies that ignore this trend risk decreased engagement, lower conversions, and loss of competitiveness.
Third, integrating AI-generated video marketing with other communication channels, including social media, email marketing, and landing pages, creates coherent user experiences. Every customer interaction can be personalized, increasing conversion opportunities and building loyalty. Combining AI video with hyper-personalization also allows dynamic testing of message variants, optimizing campaigns in real time.
Practical recommendations for marketers in Poland include:
- Starting with pilot AI video campaigns combined with personalization, e.g., on social media or newsletters.
- Using first-party data to create individualized content and recommendations.
- Testing different video and marketing content variants to optimize results.
- Ensuring GDPR compliance and transparency toward users.
- Seeking synergy between AI-generated video marketing tools and personalization platforms to maximize campaign effectiveness.
- Monitoring campaign results in real time and adjusting messages according to audience reactions.
By following this approach, marketers in Poland can create highly effective campaigns that engage audiences, boost conversions, and optimize costs. Over time, the combination of AI-generated video marketing and hyper-personalized content marketing will become the standard, and companies that fail to implement these technologies may fall behind.
In conclusion, the future of marketing in Poland is not only about automation and AI but primarily about creating experiences tailored to each customer. Investing in generative AI video marketing and hyper-personalized content marketing now allows brands to achieve real benefits, increase audience engagement, and build long-term customer relationships.
Expert Advice
The editorial team, in collaboration with AI and digital marketing experts, notes that AI-generated video combined with hyper-personalization is a powerful trend, but it requires careful attention to privacy, ethics, and data quality.
The IAB Poland report indicates that AI enables, among other things, dynamic video effects and real-time filters, creating new opportunities for personalized marketing content, but also raising questions about the collection and use of user data. (IAB Poland – AI in Social Media)
In Anna Nowak’s master’s thesis, “AI-Based Personalization and Consumer Rights Protection,” the author emphasizes that using AI for hyper-personalized content can violate consumer rights if users do not have control over what data is used and for what purpose. (UOKiK / Anna Nowak (2022))
- Ensure GDPR compliance and user privacy: collect user data transparently and give users control over what is used.
- Use personalization thoughtfully: generate personalized video content, but avoid being “intrusive” — balance content customization with respect for user privacy.
- Monitor quality and scalability: test whether generated videos actually increase engagement and conversions — do not assume hyper-personalization always delivers profit.
As noted in the study “Ethics and Responsible AI Deployment,” AI systems must be designed with privacy protection in mind — using techniques such as differential privacy or federated learning — to combine personalization with an ethical approach. (arXiv)
For marketers and content teams, the editorial recommendation is clear: AI video hyper-personalization has enormous potential, but it cannot come at the expense of user trust. Implementing transparent processes, privacy audits, and monitoring mechanisms is essential to build sustainable relationships with audiences.
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Sebastian is an AI and digital marketing expert who tests tools and revenue-generation strategies. This article was created in collaboration with a team of content marketing, UX, process automation, and programming specialists. Our goal is to provide practical, reliable solutions to help develop online projects.