Power Of AI In Social Media Marketing Training Ppt

Slide 1

This slide lists top Artificial Intelligence trends in Social Media Marketing. These are mobile testing and optimization, content testing and optimization, and behavioral data pattern and recognition.

Instructor’s Notes:

• Mobile Testing & Optimization: You may design individual ads targeted at users based on the type of device they use via Artificial Intelligence. For example, someone browsing for products and services on a mobile device will have less screen space but may be more tempted to buy. When your AI tool identifies that this prospect is on a mobile device, it will present them with a mobile-friendly ad that will entice them to take the next step
• Content Testing & Optimization: By targeting audiences with specific, relevant digital text and compelling imagery, AI-powered technologies have helped organizations increase conversion significantly. This means that marketers can now personalize social media marketing messages depending on a user's previous patterns of preferences and habits
• Behavioral Data Pattern & Recognition: AI in social media aims to improve customization and targeting by using data from previous customer journeys to estimate outcomes and build automated marketing content/workflows

Slide 2

This slide discusses the impact of Artificial Intelligence on Social Media Marketing. Some of the ways AI can accelerate marketing are image recognition, face recognition, text understanding, and social media management.

Instructor’s Notes:

• Image Recognition: Images are abundant on social media platforms. For larger firms, manually screening hundreds of images of each individual would be too taxing. Advanced AI technology can immediately scan a large number of photographs, evaluate and sort these as needed. Facebook uses Machine Learning to extract specific information from photographs, such as the appearance of objects, company logos, etc
• Face Recognition: In 2010, Facebook became the first social media platform to use face recognition to identify people in photographs. Since then, face recognition has gotten significantly more widespread and accurate. According to a 2019 report, the facial recognition business would produce $7 billion in sales by 2024. What's more impressive is that modern facial recognition software has progressed to the point where it can recognize emotions on a human face. The ability to identify customers' moods results in more targeted, relevant advertisements adapted to each customer's emotional state
• Text Understanding: Machine Learning algorithms use Natural Language Processing (NLP) to assess how you converse, engage with diverse information, and react to issues. Most social media networks make use of text-deciphering algorithms. Facebook has effectively filtered massive text-based data present on its platform and Instagram using a deep learning engine called DeepText
• Social Media Management: Artificial Intelligence has the most direct and imminent impact on social media management. The majority of companies now have a presence on social media platforms. This accomplishes two goals: It broadens the company's reach to its target market, and it complicates the social media management process. When it comes to scheduling and distributing social media material, AI has proven to be valuable. Sophisticated technologies evaluate post engagement, gather useful data from user comments, and provide strategic post recommendations.

Slide 3

This slide discusses the impact of AI on Social Media Marketing. Some of the ways AI can accelerate marketing are content creation & optimization, tracking online behavior, targeted advertising, and automated customer service.

Instructor’s Notes:

• Content Creation & Optimization: Creativity and good research capabilities are required for content development. While AI may lack the former, it more than makes up for it with the latter. AI can generate good content because of its capability to conduct exhaustive research in a short amount of time. AI-based techniques have also proved to be beneficial in terms of content optimization. AI can provide ideas on optimizing your content for search engines after analyzing top search results on a specific topic
• Tracking Online Behavior: AI's superpower is its ability to recognize and track trends. It may gather and give you vital information such as user browsing behaviors, average time on site, bounce rates, clicks, and views, among other things. Once you have all the numbers, it will be much easier to figure out why visitors leave, which aspects of your website or social media account are working, and which need to be improved
• Targeted Advertising: Advertising is one of the most prevalent applications of AI. You can adapt your marketing efforts and deliver them to the right audience by gaining access to the metadata containing relevant information about your clients' demographics and preferences. Artificial Intelligence and deep learning tools can aid in the monitoring of ad campaign performance and keeping up with particular market trends. AI also makes competitor research and analysis immensely easier and more effective
• Automated Customer Service: Many firms find it challenging to respond to every consumer query immediately. By automating customer service, clients can receive faster responses, and firms will win their customers' trust