The AI-first scenarios of social media are social media graphic content generation, social media streaming automation, and social media intelligent insight
Social media graphic content generation: AI can automatically generate attractive graphic content according to brand requirements, current hot topics, trends and the interests of the target audience. Help enterprises improve the quality and productivity of social media content.
Social media streaming automation: AI can automatically adjust advertising and content push on social media platforms according to user behavior and preferences. This helps increase the exposure, engagement, and popularity of ads and content
Conversion rate.
Social media intelligent insights: AI can analyze data on social media to provide enterprises with insights into user portraits, behavioral analysis, interests and needs. Help enterprises develop more accurate marketing strategies.
Public opinion control: AI can monitor public opinion trends on social media in real time, detect potential crises in time, and provide corresponding response suggestions. It helps the company maintain its brand image and reputation.
Content compliance management: AI can automatically detect sensitive information, violations, etc. in social media content to ensure that the content complies with relevant laws, regulations and platform regulations. Reduce enterprise compliance risk.
Early warning of social media crisis: AI can monitor the dynamics of public opinion on social media in real time, and once negative public opinion is found, it will issue early warnings to enterprises in time. Enable businesses to respond quickly to reduce the impact of the crisis.
Personalized interaction with social media: AI can provide users with personalized interactive experiences based on user portraits and behavioral data, such as intelligent Q&A and recommendations. Increase user satisfaction and engagement.
Social media interactive games: AI can generate engaging interactive games on social media to improve user engagement and stickiness.
Virtual human live broadcast: AI can generate virtual humans for live streaming activities to provide users with novel experiences.
Intelligent content promotion: AI can recommend content of interest to users based on user portraits and behavioral data. Increase engagement and conversion of content.
Consumer circle insights: AI can analyze consumer data from different circles on social media according to the requirements and scope specified by enterprises, and provide enterprises with insights into consumer preferences, needs and behaviors.
UGC content screening optimization: AI can automatically identify and filter out high-quality user-generated content for enterprises to use in marketing activities. UGC content can also be optimized, such as automatic generation of snippets, keywords, or thumbnails.
Social media short video generation: AI can automatically generate attractive short-sightedness based on user interests and trends
Frequency content. Improve content quality and productivity for short video marketing.
Search algorithm optimization: AI can optimize the search of social media platforms by analyzing user behavior and interests
algorithm, to provide users with more accurate and high-matching search results.
Content process optimization: AI can help companies optimize the flow of content production and distribution in social media marketing
process, improve work efficiency and quality.
Automatic analysis of social media data: AI can automatically analyze data on social media platforms to provide enterprises with data
Reports on user behavior, interests, and needs. This helps businesses understand market dynamics and adjustments
Marketing strategy.
KOL identification and recommendation: AI can analyze social media data and identify it according to the specified requirements and scope
KOLs (influencers) with high influence and high brand fit are recommended to companies.
Integrate AI, intelligent insight, and public opinion control into social media marketing activities
1. Application direction: public opinion control, content compliance management
• Application case: People's Network "People's Review" V3.0 version
• Case description: People's Daily Network relies on the technical advantages of the National Key Laboratory of Content Cognition, strengthens the innovative application of content science and technology, and will study in depth
Xi's intelligent semantic analysis technology is applied to the database, and the project was selected as a recommended case of the 2022 "Wang Xuan News Science and Technology Award". Develop a new one
On behalf of the government-related intelligent risk control platform "Zhixiaozhu", the "People's Review" version V3.0 was launched, which is applied to data analysis, intelligent query, public opinion monitoring and public opinion
guidance, etc., to help enterprises prevent risks.
Second, the application direction: social media intelligent insight
• Application example: Second hand system Social AI model
• Case description: The marketing model developed by Miaozhen System is based on time-sensitive social media fact data, pulling all consumer posts about the customer's brand in the data cycle. Enter Miaozhen industry model and opinion generation model to obtain the proportion of different discussion angles and core positive and negative views of consumers. It is used to directly generate consumer insight reports, and output timely, accurate and objective effect evaluation reports in the dissemination of new phones for a mobile phone brand
Third, the application direction: social media graphic content generation
• Application case: Yili "no Yi sample holiday" poster production
• Case description: On May 3, 2023, Yili's "Buyi Holiday" Weibo topic was released, and the number of interactions reached 3.3W in 8 hours. The campaign took only 5 working days from brief to delivery, and AIGC's deep involvement successfully improved the efficiency of the process. The miniature food poster produced by AIGC combines Yili's 9 star products with various brain holes, and the picture is full of imagination. Milk Waterfall Sunbathing, Changbai Mountain Blueberry Farm, Cloud Road Trip, Dive into the Deep Sea of Fruit, Milk Roller Coaster, Milk Powder Ski Resort, Chocolate Star Adventure, Cheese Amusement Park.
•Fourth, the application direction: social media personalized interaction
• Use case: Starbucks' social AI marketing
• Case description: Starbucks, a world-renowned coffee chain, makes full use of AI technology in social marketing to interact with users through sentiment analysis. Starbucks AI technology is able to analyze user reviews and sentiment on social media to understand users' attitudes towards their products and services. AI systems are able to recognize emotional signals such as liking, satisfying or dissatisfied.
As soon as a user question or comment is identified, immediate action will be taken.
• When a user shares a photo of Starbucks coffee on social media and expresses his love for a particular coffee. The Starbucks AI system captured the post and analyzed user sentiment. He later replied to the user on social media, thanking him for his support and inviting him to a local Starbucks store for a free cup of coffee. This personalized interaction makes users feel valued and cared for, and also stimulates the participation and interest of other users.
•5. Application direction: social media interactive games
In this case, Starbucks' interaction with users caused widespread use
Use case: KitKat's Blink Break campaign
Pan-follow, the number of likes and retweets of posts has increased significantly.
• Case description: KitKat, Nestlé Xixia's chocolate wafer brand, is a "national" chocolate snack with "have a break" as the core of brand marketing.
In a marketing campaign called "Blink Break", KitKat captures participants' blinking movements through cameras based on AI+AR, allowing participants to challenge them without blinking with AI-generated small animals (cats, owls, turtles, etc.). As the level progresses, KitKat asks challengers to post #Blink Break challenge videos of the same name on social media to complete the next challenge.
• Gaming is one of the best ways to reach Gen Z, and social media platforms Facebook, Instagram, Snapchat or TikTok can easily embed online mini-games into them, and brands can try them out.