GenAI Turbo For Your Hyper Personalization
Management Summary
Personalized experiences in online shopping – what could that look like? Here is an example:
What is the difference: personalization vs. hyperpersonalization?
Many people are familiar with personalization. Content is tailored to segments. Historical data is used to make predictions.Hyper-personalizationgoes much further. She createsTailored content for each individual user. The experience is unique. Uses hyper-personalizationReal-time data. Adjustments are made immediately. Instead of manual rules, AI controls the playout based on user interactions. The goal: Maximum relevance for every customer.
Comparison of personalization vs. hyperpersonalization, source: e-dialog
How does generative AI help with hyper-personalization?
Generative AI (GenAI)is the key to scaling hyperpersonalization.Through them, content canautomatedbe created and customized.
Individual content in real time
With the help of GenAIuser data can be storedanalyze.It makes it possiblePreferences and behaviorto understand. Based on this canSuitable text and image suggestions are generated. This adjustment happens dynamically and in real time. Every user sees content that is tailored exactly to him/her.
Visual content: images and videos with GenAI
With the help of GenAI, completely new images and videos can be created. It is possible to put existing product images in new contexts. Models can be exchanged or products can be set in motion. LeadingTools like Google Imagen 3 for images or Google Veo 2 for videos, often accessible via platforms such as Vertex AI, impressively show what is possible today. This creates countless variations of visual content. These are tailored to individual preferences or demographic characteristics.
An important aspect when using such tools is legal security. Reputable providers such as Google may offer certain services that run on their cloud platformlegal advantages. For example, one can do thisIndemnification for copyright claims by third partiesinclude that relate to the generated content. This provides companies with additional security when using AI-generated images and videos, provided they are used responsibly and in accordance with the provider’s terms of use.
Examples of AI-generated images, source: e-dialog
Why is creative crucial?
Good content is important. TheCreative is the strongest lever for sales success.LoudNielsen Catalina SolutionsThe creative influences the sale by 49%. Media planning only accounts for 30%, branding 21%. GenAI’s hyper-personalized content combats creative fatigue. It ensures consistently high engagement and better performance values.
How does hyperpersonalization with GenAI work in practice?
The theory sounds good. But what does the implementation look like?
E-commerce example: bringing products to life
Imagine an online shop. Standard product images are often static. With GenAI you can transform these images:
- context: Show a lounge set not just in the studio, but on a sunny terrace.
- Mood: Create atmosphere appropriate to the brand or season.
- dynamics: Create short videos from static images.
This brings products to life. It encourages customers’ imagination.
Find more information about asset creation and GenAI tools in our blog:
Example Galeria: AI in action
Galeria uses Google AI technology. Goal is oneseamless, personalized shopping experience. For example, you test product videos against static images in an A/B test. This is how you optimize the conversion rate.
AI used for hyper-personalization at Galeria & A/B test between image and AI generated video on the Galeria website, source: e-dialog
What role does the Customer Data Platform (CDP) play?
Data is the basis. OneCustomer Data Platform (CDP)collects and organizes customer data.This data can be used by GenAIto create personalized content. The CDP identifies customer preferences.GenAI then enables generationsuitable images or videos. For example, every customer sees jewelry on a model that matches their preferences. The combination of CDP and GenAI enables true hyper-personalization.
Every customer sees different images with different products and people depending on personal preferences, geographical location and many other factors.
AI & Combining GenAI, source: e-dialog
You are interested in oneCustomer Data Platform? Our white paperoffers you a guide on how you can master the challenge of data consolidation, activation and personalization along the customer journey.
Is creating GenAI content easy?
GenAI tools are powerful. But good results require know-how. It takesExpertise in prompt engineering. A simple prompt often doesn’t produce good images. A professional, detailed prompt is necessary. AlsoQuality assurance by creative professionalsis crucial. AI is a tool, not a replacement for human creativity and control.
AI can NEVER replace real creatives. Hyperpersonalization requires a strong partnership.Tobias KellnerDirector Cloud & Data Science
Conclusion: The future belongs to hyperpersonalization with GenAI
Hyperpersonalization is more than a trend. It is the next level of customer communication.Generative AI is the technology, which makes it possible on a large scale.
The most important points summarized:
- Hyper-personalization: Offers unique experiences for every user.
- GenAI: Allows automated creationof tailored text, image and video content.
- relevance: Increases engagement and performance through highly relevant content.
- CDP & GenAI: The combination is crucial for data-driven personalization.
- Expertise: Successful implementation requires know-how and quality assurance.
- Legal aspects: Using tools from established providers such as Google can provide additional security
Companies that are now onHyperpersonalization with GenAIset, secure a competitive advantage. They offer customers more relevant experiences and increase their success.
