How AI Powers Personalized Ad Creatives: From Templates to Automated Video

1. Personalized Advertising

Smartphones bring convenience and also algorithm‑driven ads. Advertisers use data analysis and algorithms to deliver different ad versions to users based on their interests, a practice called personalized advertising.

2. Smart Creative Concept

Instead of manually producing many ad versions, “smart creative” automatically generates ad images or videos from basic visual assets using algorithms, reducing labor cost and improving click‑through rates for NetEase Yanxuan.

3. Implementation Overview

The system first decides which ad type to show, then uses “smart creative” to compose the content.

Inputs

Ad copy (title, subtitle)

Product pool sorted by user interest

Output

Creative content (image or video)

3.1 Template Creation

Creative templates, designed by visual experts, define abstract business elements, style, and layout. Elements include product main image, background, copy, decorative icons, logo, etc., each supporting dynamic variation.

Algorithms automatically select product images, template effects, and colors to generate the final ad, enabling a “human‑machine coupling” workflow.

3.2 Image Synthesis

Three key steps:

Theme‑color recognition : Identify the dominant color of the product scene to choose a suitable template.

Aesthetic scoring : Generate multiple candidate ads, score them with an algorithm, and pick the highest‑scoring one.

Size matching : Adjust layouts for single or multiple products, ensuring visual consistency and relevance.

Examples of synthesized images based on scene‑template, single‑product, and multi‑product templates are shown.

3.3 Video Synthesis

Video creation reuses existing video and image assets, swapping product hero images and adding product highlights to the footage.

4. Online Application

Smart creative is integrated into a management backend that serves various ad placements such as DSP, recommendation, and search. The system tracks exposure, clicks, and conversions, demonstrating lower production cost and higher revenue.

5. Conclusion

Algorithmic creative generation combines human expertise with models to automate ad material production, significantly reducing cost while boosting performance.