3 Ways to Implement AI into Your Social Media Strategy
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3 Ways to Implement AI into Your Social Media Strategy

It’s no secret that social media is an important part of your business’ digital strategy. However, while you are focusing on mundane tasks relating to social media, you may feel like your time could be spent working on more productive marketing projects and enticing multimedia campaigns. Wouldn’t it be much easier if a machine could take over some of your everyday tasks in order to free you up to dive deeper into the more creative areas of your digital strategy? Here are 3 ways you can use AI programs to improve your social media:

 

 1. Create basic post content

While robots can’t actually write a full blog post for you just yet, AI can still help create content! But “how can AI craft and suggest a tweet for you?” I hear you ask. Well. one subset of AI is called natural language generation (NLG). Which can be trained to create written narratives out of data, such as simple reports or fact sheets.

Some AI tools, such as Lately, can recognise context from a larger piece of content and create social media posts to help promote it. Other tools like Sprout Social, can help you generate tweets that can be used to reply to fans, customers, or followers. In addition, HubSpot ’s social media software will save you time by automatically creating posts based on the metadata of the links you copy and paste.

 

2. Monitor and analyse your social media channels

Writing content and responding to people is only half the battle when it comes to social media management. A huge portion of social media marketing is managing and monitoring social channels. Luckily, AI can assist you with a good portion of that work and even help you make better marketing decisions. This is because, unlike humans, AI is capable of collecting data from millions of posts and it can use that data to make predictions and decisions.

AI could help with tasks such as discovering high-impact influencers and completing audience analysis, which can be handled by tools like Socialbakers. Additionally, you can use a tool like Cortex to receive recommendations on when and how often to post based on all of your historical metrics. Cortex can also generate detailed analyses of your competitors.

 

3. Create, optimise, and manage paid social media advertising.

As previously mentioned, AI is very capable of creating social media posts, so it’s no surprise that it would also be able to develop ad copy. Moreover, using AI’s predictive technology, it can be optimised for the highest possible clicks and conversions.

For instance, Phrasee pulls data from past marketing assets including emails, social media copy, and other online posts to determine which is most and least effective. From there you can draft your own ad copy and test its effectiveness or use Phrasee’s suggested ad copy.

AI can also help you with some of the nitty-gritty ad management tasks. Pattern89 offers bid optimisation, helps you to budget and will recommend channels your ad will more likely perform well on. Other platforms like WordStream will use machine learning to assess PPC ads across Facebook and Instagram to enhance ad performance, as well as offering data-driven recommendations.