Focusing on personalized experience, retaining users depends entirely on AIGC?

1. Before purchasing a product, consumers will search and browse product reviews on social media.

2. Therefore, it is becoming more and more important for companies to market their products on social platforms.

3. The purpose of marketing is to:

   • Promote product sales
   • Establish a brand image
   • Increase brand awareness
   • Attract and retain customers
   • Ultimately improve the profitability of the enterprise
4. Large model has Excellent understanding and generation capabilities, can provide users with personalized content recommendations by browsing and analyzing user data.
5. In the fourth issue of "AIGC Experience School", two guests will have an in-depth discussion on the role of AIGC technology in improving "marketing conversion rate".

   

   
   Live broadcast time: July 10th 19:00-19:45
   Live broadcast topic: Retaining users, how does AIGC improve conversion rate through personalization?
   The fourth episode invited two important guests, namely Liu Chenchen, the person in charge of the Volcano Engine Live Insight Product, and Liang Zheng, the person in charge of the Volcano Engine Sales Assistant Product.
   Be the first to watch exciting content. As an important part of the e-commerce industry, e-commerce live broadcasts not only bring huge sales opportunities to enterprises, but also become an important channel for brands to interact with consumers and build brand loyalty.
   In the context of live broadcast operations, what new possibilities and problem solutions will AIGC technology bring?
   To answer this question, we must first consider which factors in e-commerce live broadcast will affect the product transaction rate. When brands conduct live broadcast reviews, they usually conduct a large amount of data analysis. AI technology, especially large models, will achieve twice the result with half the effort in the process of data and content analysis.
   E-commerce live streaming is a form of sales. Today, as large model applications are accelerating, Volcano Engine has created various "sales copilots" around sales positions in various industries. During the sales process, sales assistants can rely on the understanding of large models to provide sales staff with accurate customer insights. Through in-depth analysis of customer behavior, preferences and needs, we help sales staff develop more targeted sales strategies and improve sales success rates.
   What specific role will Volcano Engine’s sales assistant play in the sales scenario? How can e-commerce live broadcasts make full use of AIGC technology to enable companies to achieve better marketing results?
   All the above questions will be revealed in the fourth issue of "AIGC Experience Party".
   Register for the live broadcast at 7pm on July 10th. Come to the live broadcast room to watch "How AIGC improves conversion rate through personalization" and scan the QR code to register.

   

   Review of the last issue

In the third live broadcast of "AIGC Experience Party", Zhao Liang, the person in charge of the AR solution of the Volcano Engine, Fan Qing, the person in charge of the intelligent beautification special effects of the Volcano Engine, and Shen Yi, the solution architect of NVIDIA, focused on " The topic of "How to Use AIGC to Improve Marketing Interaction Rate" was discussed.

As large model technology has made many progress, people have seen more breakthrough directions under new technologies. More and more people are beginning to think about the application scenarios of AIGC.

A realistic question is: Can AIGC really bring actual business growth to enterprises?

Zhao Liang, head of AR solutions for Volcano Engine, used the explosive growth of AIGC creative special effects on media platforms such as Douyin as an example to illustrate that compared to conventional interactive methods, AIGC is more creative and surprising, providing an experience for thousands of people. It can better meet the current personalized needs and stimulate users' participation experience.

Higher user participation will bring more exposure and sharing, thereby achieving a second fission. This coincides with the brand's own marketing goals.

The Volcano Engine combines traffic to form a complete AIGC special effects marketing plan, including how to better combine with advertising forms to obtain more exposure entrances, and in addition to brand promotion and exposure, how to combine back-link products that truly serve the brand Purchases, brand fans, product download registration and other business growth.

Fan Qing, the person in charge of intelligent beautification special effects of Volcano Engine, started from the idea of ​​creating and marketing smart car cabins, and described the process of carlog creation with actual cases. The Volcano Engine provides users with some basic capabilities and corresponding ecological links throughout the entire process.

At the basic algorithm level, the Volcano Engine provides visual algorithms, content understanding algorithms, image quality algorithms, security algorithms, multi-modal algorithms, etc. At the level of special effects and audio engines, the Volcano Engine provides 2D & 3D rendering, particle simulation, skeletal animation, physics engine, lighting simulation, music and sound effects, etc. At the level of template effects, the Volcano Engine provides a large number of templates and makes recommendations by automatically understanding the corresponding content, allowing users to easily get a template that matches the content. Finally, at the scene application level, users can browse on the car photo album, and can also form a community effect in the car owner community application.

The in-vehicle creation Carlog may attract the attention of potential car buyers, thereby prompting customers to browse, place orders and other conversion actions, achieving the effect of "planting grass" in marketing.

NVIDIA Solution Architect Shen Yize discussed "How to make cars smarter in the AIGC era" and analyzed the role of AI in improving the driving experience and improving the efficiency of the automotive industry.

First of all, automotive AI usage scenarios are roughly divided into four parts: AI in autonomous driving, AI in smart cockpits, AI in smart customer service, and AI in service manufacturing and logistics industries. Notably, AI technology can also help the automotive industry with content generation and data mining for marketing and sales.

In the AIGC era, NVIDIA provides a complete set of end-to-end solutions for large models, covering every required part of the entire large model life cycle, and each part is in a modular form The existence ensures that each module can be decoupled and adapted to the enterprise's production process as needed.

In general, the three guests explained the use of generative large models in three themes: "Using AIGC technology for brand marketing", "Creative marketing of smart car cabins", and "More intelligent car interaction in the AIGC era" The value created in the field of "marketing interaction".

The third issue review viewing address: https://vtizr.xetlk.com/s/7CjTy (or identify the QR code below).

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