There have never been so many challenges in social media management, as the space keeps evolving with the emergence of new social media platforms, new algorithms, and new content trends, which social media managers must find new ways of consistently increasing their engagements. AI-powered solutions step into the foray. Artificial intelligence has developed into a revolutionary facilitator for how brands manage their social media presence, offering tools and insights unlikely to have been conceptualized until a couple of years back. In this article, we'll check out 16 AI-driven strategies, providing you with more granular examples to follow and take action with so that you can help drive better social media engagement, but also manage it more efficiently.
1. AI Tools for Content Scheduling
AI indeed resulted in a total revolution in scheduling content and analyzing large amounts of data to learn the perfect posting time on social media. AI tools take into account patterns of audience activity, time zones and engagement history to suggest the perfect times to publish the content.
Buffer and Hootsuite are two of the leading tools in social media management, both using AI to recommend the best times for posting. Depending on the analysis of your followers' behavior, the app automatically schedules posts that guarantee the best visibility. One CoSchedule case study found that businesses using AI-driven scheduling increased their social media engagement by 192%.
2. Personalized Content Recommendations
Personalization: The best means of attracting attention from an audience is through personalization. AI tools, in this regard, would help analyze behaviors and preferences to provide recommendations on content that might appeal to targeted audience groups. In this manner, it personalizes content according to taste and helps in providing the most relevant, engaging posts while building a better relationship with them.
Our own “Romo AI- All in One AI Platform” is a prominent personalized content creation tool, guiding a user to recommend highly personalized topics of content, so his/her posts are aligned with the interests of their audience. Companies that personalize content based on AI recommendations report up to a 30% increase in engagement rates.
3. Chatbots and Customer Interaction
AI chatbots will be a vital element of social media management. They conduct plenty of customer inquiries at any given moment and offer replies and solutions at the same time. The chatbots automate all customer interactions and free up the social media manager, enabling them to actually deliver information to followers in a timely and accurate manner. Besides, they drive greater interaction and satisfaction by chatting with users.
Sephora's artificial intelligence chatbot is staged on Facebook Messenger to help its customers find exactly what they need. An AI bot helps answer general customer questions to make their shopping experience smooth. Using the Domino's Dom chatbot, you can easily order through Twitter and Facebook Messenger. As a result, chatbots have significantly improved customer engagement for both companies and reduced customer service friction.
Platforms like facebook offers free automated chatbots powered by AI that can handle much of users queries. You can also check out hubspot chatbot builder tool.
4. Sentiment Analysis
Understanding your audience's feelings toward your brand is important for effective social media management. AI tools can analyze sentiment through crawling social media posts, comments, and reviews for public sentiments about your brand. These insights allow you to take action against negative feedback, capitalize on positive sentiment, and rework your content strategy according to audience sentiment.
For example, with tools like Brandwatch and Lexalytics, a lot of AI is used in conducting sentiment analysis of conversations on social media. For example, launching a new product, a brand may use these tools in real time to monitor audience reactions. In the event of a spike in negative sentiment, action can therefore be taken there and then to nip in the bud what would snowball into a PR crisis. Sentiment analysis is one of the tools Nike used throughout the Colin Kaepernick campaign and came away with very valuable insights on how to adjust messaging after the public outcry, resulting in huge lifts in brand loyalty among target demographics.
5. Automated Analytics
Manual analysis of social media metrics is a very time-consuming process and can be very overwhelming. AI simplifies this process through the automation of gathering and analyzing data on engagement. The tools give in-depth insight into which posts are doing well, which ones aren't, and why. Grasping these metrics will help you in refining your strategy concerning social media and focusing on what really works for your audience.
Sprout Social offers AI-powered analytics beyond the usual reach, impressions, and engagements. It provides detailed information about audience demographics, the performance of each content type, and emerging trends in audience engagement. A very good example is how Unilever uses AI analytics to report on the various brands' performances on social. Such analytics help Unilever understand what campaigns do well with their audience to make an informed decision to improve engagement across all platforms.
6. AI-Driven A/B Testing
A/B testing is one of the strongest ways to optimize your content, yet it is quite labor-intensive. AI enhances this A/B testing power further through the automatic creation and testing of several variations in your content. Using this information, AI tools can analyze the performance of variants, determine the best version, deploy at scale, and ensure that your content attains maximum traction.
Facebook Ads use AI to auto-test ad creative variations, targeting options, as well as bidding strategies. From there, AI automatically optimizes the best-performing combinations that will work best on your audience. Another example is how Optimizely, an A/B testing platform, uses AI to analyze real-time user interaction and updates website elements in its quest for optimal performance. Brands that have utilized such AI-driven A/B testing have recorded increases in conversion rates by up to 300%.
7. Content Curation and Creation
AI has entered the market of creating and curating content. These tools create quality content that is topically relevant, based on the trend, keywords related to the domain, and the preference of the target audience. With AI, it doesn't matter how vast your repository is; it will curate content for your social media handles, keeping the stream active with fresh and relevant posts consistently. This way, it will save not only time but also keep your audience engaged, all because of timely and interesting posts that will keep appearing.
Our very own “Romo AI – All in One AI platform” has amazing AI tools which can do content idea generation, post writing, and even SEO optimized long-form article writing. For content curation, Feedly uses AI to gather relevant articles and news according to the topics you choose, streamlining the process of finding shareable content.
8. Visual Content Enhancement
Visual content is the basis of social media engagement. AI tools make it possible to automatically enhance images and videos with the adjustment of color, application of filters, and even generation of captions. If you use AI to enrich the visual appeal of your content, your posts will stand out more in crowded social media feeds, and more people will share, like, and comment on them.
Once again you can use Romo AI for creating amazing images in a click. Our AI image generation tools use multiple models to give you the best result. Our tools also offer customization offer like style, size, resolution etc.
9. Predictive Analytics
AI is used to enable predictions of the successfulness of some social media content before publication. AI tools are in a place to predict what kind of content is bound to get the most traction, considering the historical data and prevailing trends. This foresight leads directly to making data-driven decisions and optimizing your content strategy for maximum engagement.
IBM Watson provides predictive analytics that can help estimate the success of a social media campaign based on past performance and market trends. A company like Coca-Cola, for instance, will use predictive analytics to understand when to introduce new products or to run campaigns considering customer sentiments and trending on social media. By predicting which content is most likely to go viral with their audience, Coca-Cola can adjust pre-emptively to maximize engagement.
You can also use tools like buffer and hootsuite for predictive analytics.
10. Targeted Audiences Segmentation
Audience segmentation has been one of the most needed strategies in social media management, however, its effectiveness is uncompromising. AI will analyze user information to segment your audience into groups based on characteristics, behaviors, and interests. This means that you're able to customize the content with targeting in the back of your mind so that it speaks with those to whom it has to talk. Through better targeting, increased levels of customers' involvement with closer relationships in the target audience could be tapped into.
AI-driven audience segmentation, done by HubSpot and Mailchimp, can be attained by automatically analyzing the pattern of engagement, purchase history, and online behaviour. For instance, an e-commerce brand might take the help of AI in segmenting its audience into high spenders, frequent buyers, or lapsed customers. Engaging each category with personalized offers or content increases the rate of engagement and conversion for the brand manifold.
Nowadays social media platforms like facebook have integrated audience segmentation and targeting tools. You can also try hootsuite or sproutsocial tools for this purpose.
11. Real-Time Trend Analysis
Essentially, relevance is the king in remaining on top of social media. AI tools will analyze and spot emerging trends within your industry or niche in real time. Now you can capitalize on those emerging trends by really creating content that resonates with your target audience and fortifies your brand positioning as a thought leader. Real-time trend analysis ensures your social media strategy is always current and engaging.
BuzzSumo and TrendSpottr use AI to track and analyze trending topics across social media. Such tools assisted a plethora of companies in accelerating the evolution of their content strategy to publish posts and sell products that could satisfy the needs brought about by the sudden emergence of "work from home." Brands leveraging real-time trends, such as Peloton, in light of increased interest in home fitness, reported considerable lift in engagement by staying relevant on social media.
You can also use google trends or BrandWatch to catch up on general or industry specific trends.
12. Crisis Management
In the dynamic world of social media, a crisis may spiral out of control in an instant. With the help of AI tools, you can manage crises because such tools constantly monitor all conversations on social media and find out any potential issue before it spirals out of control. With sentiment analysis and automated alerts, you can quickly respond to negative feedback, limiting the damage of any adverse news to your brand's reputation and preserving audience trust.
Use AI-powered tools like Mention to identify and track crises so you may manage them through real-time alerts and sentiment analysis. For example, a company can use such tools to follow public reactions to a product and take preemptive steps in the case of a product recall. Toyota used AI tools for the purpose of damage control immediately following their recalls in order to assist in tamping down the online backlash toward the company by identifying and responding to negative sentiment quickly to lessen the impact on their brand reputation.
You can also use hootsuite or BrandWatch AI tools for this purpose.
13. Voice and Conversational AI
Voice assistants and conversational AI engagements are growing in social media. These voice-driven, AI-enabled innovations can interact with the users for their needs, thus making the process quite personalized and engaging. Be it question-answering, product recommendations, or a 'how-to' guide through a procedure, the voice and conversational AI will improve user experience and involvement.
Brands like Domino's have already allowed its customers to use voice ordering with Alexa, hence making the customer experience even more hassle-free and fun. Starbucks leverages voice ordering in their app so people can place orders via voice commands, which has been a user-pleaser since it makes live easier for people. You can try Tars AI for this purpose.
14. Gamification and Interactive Content
Engagement can be best driven on social media through gamification. AI can help you develop various pieces of content such as quizzes, polls, and games that would enhance user participation. In this regard, interactive content on your social media will contribute to increasing engagement among users and make a community feel built in your followership. Gamification increases engagement and also makes your brand memorable.
such as BuzzFeed use AI-driven quizzes very effectively to connect with their audience and result in shareable content driving good traffic to their web site. You can use Outgrow AI driven tools in creating interactive content for your social media.
Final Thoughts:
AI powered social media management solutions ensure deep insights and broadened user engagements. With these AI-driven strategies in the hands of social media managers, they can now move forward and deliver the right content to their audience for utmost interaction. Be it optimization of your content, improvement in customer interaction, or leveraging the latest trends, AI provides the necessary tools and insights required to thrive in today's competitive social media landscape.
