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The digital market space is evolving at a rapid pace, and customers are now seeking authenticity and human connection from brands more than ever. To meet this increasing demand, marketing teams need to be agile, think outside the box, and meet deadlines while operating within limited budgets and constrained team bandwidths. Fortunately, innovative technologies like artificial intelligence (AI) offer long-term solutions to these challenges. AI is revolutionizing marketing, with more and more marketers reporting that it has helped boost creativity and workflow efficiency. AI marketing is being used to develop compelling content while efficiently managing tasks like data analysis, reporting, and message management.
In this article, we will explore the top AI use cases in marketing that are priorities for teams as they prepare for 2024. These actionable insights will help marketers meet their revenue goals and marketing objectives head-on.
The Marketing Disciplines where AI had a Positive Impact
According to The 2023 Sprout Social Index™, 81% of the 900 marketers surveyed say AI has already had a positive impact on their work. Creative areas like content ideation have benefited from AI, with 78% of marketers reporting a positive impact. Additionally, AI has improved productivity for 73% of marketers.
AI is also helping social teams better understand and respond to their audiences. It provides critical brand insights through social listening, which can inspire engaging content, personalize customer care, and dig deeper into performance metrics.
Furthermore, AI-driven marketing automation is assisting marketers in increasing speed and efficiency. It allows them to offload time-consuming tasks such as managing digital ads, email campaigns, and social post scheduling, giving them more time for strategy-building.
Not surprisingly, a Q2 2023 Sprout Pulse Survey of 255 social marketers found that 71% are already integrating AI and automation tools into their workflow, with 82% reporting positive results.
The Top 7 AI + Social Marketing Use Cases for 2024
Given these encouraging results, more companies are planning to leverage AI in 2024 to strengthen their marketing teams and overall business strategy. Here are the most prominent AI use cases in marketing for social media managers as they prepare for the coming year.
1. Analyzing Social Media Data
Social media data is a treasure trove of brand and customer insights that AI tools can effortlessly dig into to surface critical information. The State of Social Media Report found that 95% of leaders look at social data to inform business decisions, such as lead generation, product development, and competitor analysis. Social media data analysis is empowering not only marketing teams but also cross-functional ones.
Competitor monitoring is another important AI use case in marketing, with 92% of business leaders in 2024 using it to improve brand positioning. AI tools extract competitor insights by using powerful semantic search and other AI algorithms from social listening data. For example, Sprout analyzes social data using named entity recognition (NER) to identify and analyze competing brands and their content, providing actionable insights to improve brand performance.
AI also plays a key role in influencer marketing. AI models monitor posts, interactions, and audience demographics of potential influencers, allowing marketers to assess their suitability for brand partnerships.
2. Content Creation
Content creation remains one of the most time-consuming tasks for marketers, according to the 2023 Index. It involves creative ideation and the stress of ensuring that the content is timely, relevant, engaging, and differentiated enough to capture audience attention. AI-enabled social management tools can help social media managers and teams with content creation and ideation, without the pitfalls of generic AI tools.
For example, Sprout’s Suggestions by AI Assist feature uses natural language processing (NLP) to understand nuances in social chatter and provides relevant content recommendations based on data. This enables marketing teams to create engaging, brand-tailored posts in seconds, resulting in better leads and improved conversions.
3. Social Media Advertising and Campaign Targeting
AI is also transforming social media advertising and campaign targeting. Marketers are using AI to optimize social media advertising and make ads more attractive to audiences by analyzing engagement behavior and audience preferences. Machine learning (ML) algorithms automatically conduct A/B tests on different ad variations to continuously optimize ad campaigns based on customer segments. This leads to more targeted, personalized ads. AI-powered insights, combined with predictive analytics, suggest relevant products and services based on past user interactions, increasing campaign targeting and performance.
AI tools can also create dynamic ads that automatically update product information and prices based on user behavior and choice, maximizing ROI while saving marketers the task of manually monitoring and adjusting ad copy.
4. Social Media Scheduling and Posting
Social media teams often juggle multiple priorities, from responding to customer issues to ensuring timely content scheduling. AI marketing tools automate these functions, saving teams time and effort. For example, Sprout’s AI capabilities determine the best times to post for maximum audience engagement and impressions, providing several scheduling options based on data-driven accuracy. This enables marketers to plan, organize, and schedule social posts across networks with precision.
5. Building Chatbots
Chatbots are a compelling AI use case in marketing, with 54% of marketers planning to use them at scale in 2024 for social customer care. Chatbots enable brands to deliver real-time, personalized interactions with customers, enhancing customer satisfaction and building strong brand relationships. AI-powered chatbots become smarter as they process more information and gather valuable data on user behavior. They can answer product queries, provide recommendations, and guide users through the sales funnel even when the marketing team is unavailable.
6. Social Media Measurement
Social performance analytics have become a critical part of a brand’s overall strategy. Marketers are now measuring and quantifying the value of social engagements in terms of revenue impact. ML models like Sprout automatically measure social metrics within minutes, sparing marketers hours of manual engagement and performance analysis. This helps marketers enhance their social media ROI while navigating the ever-changing social media landscape.
7. Sentiment Analysis
Sentiment analysis allows marketers to assess the tone and sentiment expressed in comments, posts, and conversations around their brand. AI tools can analyze sentiment to determine whether it is positive, negative, or neutral. This is a critical AI capability as it helps brands understand customer feedback and improve how they respond to issues. Analyzing sentiment in social chatter also helps brands identify early indications of negative sentiment and take proactive measures before a situation escalates. For example, Sprout enables brands to detect unusual spikes in brand mentions and monitor whether they are negative or positive, allowing for proactive reputation management.
Adopting AI in a Mindful Way
While AI offers numerous benefits for marketing teams, there are concerns from both social marketers and customers. Social teams worry about job displacement, while consumers fear reduced human interaction. Leadership teams can help manage these concerns by implementing AI use cases in marketing thoughtfully. This includes working closely with IT and legal teams to choose the right AI tools and developing an effective AI use policy for employees.
By intentionally incorporating AI tools into their tech stack, marketing teams can offload manual tasks and focus on work that truly depends on their expertise. This includes audience research, creating compelling content, driving audience engagement, and providing personalized customer care.
Stay tuned as AI use cases in marketing continue to evolve. Navigating social media’s changing landscape requires staying up-to-date with the latest trends to outsmart competitors and win customer loyalty. By leveraging AI and social insights, marketing teams can empower themselves and elevate their brand’s impact. Download the Sprout Social Index™ today to stay informed on the latest social trends.
