AI-Driven Targeting for Startup Growth in Social Media: Benefits, Applications, and Future Developments

AI-Driven Targeting for Startup Growth

Have you ever wondered how artificial intelligence (AI) transforms our daily lives? From healthcare to finance, AI is increasingly becoming ubiquitous in our society. And social media is another popular domain where AI is bringing in a lot of changes. In fact, the AI for social media market is expected to grow at a compound annual growth rate of 28.3% from 2021 to 2028. Let’s explore the latest trends and breakthroughs in AI and how they are reshaping our world.

Benefits of AI for Social Media

Artificial intelligence serves the following benefits for social media:

1. Social Listening: Social listening is a macroscale research to understand the comments, reviews, and reactions to a brand or industry’s products. On the other hand, social monitoring is microscale research for identifying, tracking, and replying to individual brand mentions on social media. Both help brands learn what people say about them and their products online.

2. Sentiment Analysis: Sentiment analysis refers to understanding consumers’ views and perceptions of a specific brand, facility, service, product, or industry. It can be done through either of three methods: rule-based approach, hybrid, and automatic system. Sentiment analysis introduces the specific topic for content creation rather than long-tail keywords, which is associated with high self and other-party competition. It focuses on topic-based keywords, and topic clustering enhances the SERP rankings and provides worthy backlinks.

3. Trend Analysis: Trend analysis is also a part of social media listening and monitoring. It leads to conversation monitoring about the company. It also provides insights into the common trends and their influence on people to curate AI-powered social media marketing strategies. Several AI-based tools are available for trend analysis.

4. Content Creation: Content creation is among the most beneficial and intriguing methods of reaching and creating automated social media engagement among the audience. Increasing the information and connecting with target individuals becomes easy. AI further betters the result through attractive and more audience-preferred content creation.

5. Image and Video Recognition: Image and video recognition are the best methods to understand the brand’s familiarity and usage through pictures and videos on social media. By understanding the metrics and services, the brands can evaluate the consumer’s behavior, expectations, and usage. Image and video recognition is a step ahead of social media listening and monitoring.

6. Personalized Customer Service: AI-powered social media marketing will be more engaging for customers. It is based on the personalized requirements of a customer. Understanding preferences and interests help provide precise requirements to the customer, saving them time. AI incorporation into customer service and support leads to social media automation.

7. CRM Integration: CRM, or customer relationship management, connects businesses and customers on social media. Intelligent social media management helps better relationships between the two parties due to the quality of service the brand offers. The latter is possible through a better understanding of requirements through interaction and available data.

Applications of AI in Social Media

The applications of AI in social media have provided proven advantages. Some of the key applications are:

1. Personalized Content: AI helps interpret customers’ demands, likes, and dislikes without interfering or interacting. This eliminates exhaustion and irrelevant expressions. The social and behavioral data allows insights into the customer’s needs with reliable accuracy. The information also enlightens brands about customers’ psychology, further helping provide targeted products or services.

2. Improved Customer Engagement: AI helps increase engagement by clarifying the customer’s requirements and preferences. The dislikes can be further evaluated to understand the personalized or generalized choices of negativity against a certain feature or item. AI-based crisis response database is designed to identify victims, accidental and intentional clusters, and the different possibilities of crisis response.

3. Enhanced Decision Making: The accuracy and reliability of data concerning different aspects like increasing revenue, controlling expenditure, and enhancing the customer experience are better than human-generated and interpreted data. These are among the prime factors responsible for decision-making; hence, AI-based analytics enhances performance.

4. Ethical Concerns: The information collection, interpretation, and storage of the user’s choices, history, preferences, and personalized data come under ethical concerns. Privacy violations and biased interpretations of human behavior are also ethical concerns.

Best Practices for AI in Social Media

To make the most out of AI for social media, brands must follow best practices:

1. Identify Target Audience: Brands on social media can utilize the maximum potential by identifying the customers’ variety, work culture, likes, dislikes, familiarity with the brand, opinions, and other aspects. This significant part of AI-powered social media marketing for the targeted audience is essential to devise an effective marketing plan.

2. Choose the Right AI Tools: Knowing the requirements before choosing the AI for social media is necessary. Being the top or high features tool is one of many things to check. Knowing the specific domain or if it meets the goal is necessary. Identify the goals and choose the AI tools accordingly.

3. Human Oversight: AI assists humans. Quality control over its action is necessary to understand the correct interpretation of patterns and results. Human oversight is the only reliable power to do so. Employing another AI for quality control is bad for understanding accuracy, safety, and upholding human values.

4. Continuous Improvement: The possible errors must be continuously rectified in AI for social media. The constant changes in demand further require AI improvement to function properly and meet customer requirements. Improvement in quality and data augmentation is among the methods for AI improvement.

Examples of AI in Social Media

AI has been utilized in different multinational companies to provide extraordinary services and customer satisfaction. Let’s understand it better with examples:

1. Alibaba: Alibaba has successfully implemented AI in their first fashion store in Hong Kong. They have provided access to smart mirrors on sales floors and changing rooms that allow for effortless finding of related items and adding them to a virtual basket. The gyro-sensors sense and record the movement of items, while the intelligent garment tags and low-energy Bluetooth chips help carry details on the size and color of the garment.

2. Nike: Nike has incorporated AI in their customer interaction model since 2017. It allows customers to design their own Nike pair, with prompt delivery within 90 minutes. The action is based on AI marketing analytics to provide design and graphics suited for shoppers. It also benefits Nike by allowing them to collect users’ preferred choices and overloading them with ideas for upcoming products.

Future Developments in AI for Social Media

AI for social media is constantly evolving to provide better experiences and achieve activities impossible for humans. Some of the future developments in AI for social media are:

1. Better Content Moderation: AI helps identify human behavior and distinguish between malicious and benign content. It will be better to identify harmful or violating content accurately. AI will also be able to limit plagiarized content creation by humans and encourage diversity and variability.

2. Improving AI Ethics: AI has evolved a lot, witnessing numerous successful services and easing human life. However, there are still certain aspects of AI unknown to humans. The unfamiliarity with these aspects is the cause of concern as the unknown can lead to unsolvable problems. The implementation is flawed because human intervention is required in certain things that can only function properly with human interference. Human intervention is a must to unleash the power of AI for social media or any other venture.

Conclusion

AI-driven targeting for startup growth in social media has proven to be highly beneficial. It allows for personalized content creation, enhanced customer engagement, improved decision making, and ethical concerns. Brands can make the most out of AI by following best practices, continuously improving the AI systems, and incorporating human oversight. Examples of successful implementations of AI in social media include Alibaba and Nike. The future developments in AI for social media include better content moderation and improving AI ethics. AI has the potential to revolutionize social media and help startups grow in the digital age.