Do you find digital marketing confusing? You’re not alone; keeping up with the trends requires expertise and innovation. However, generative AI looks like a promising way to make things easier.
In this post, the https://supportyourapp.com/ team will explore how you can use the exciting new tool to streamline your marketing efforts. Will look at how you can drive engagement and achieve better results with less effort.
Understanding Generative AI
Generative AI is the latest iteration of artificial intelligence. Its focus is generating content such as text images or videos. To do so, it works off the patterns and data it was trained on. It’s not as rigid as traditional systems because it doesn’t require as much explicit programming.
These qualities allow it to process large amounts of data and create content that mimics human-generated work.
Content Creation and Personalization
Modern marketing centers largely around content. This can be for blogs, social media posts, newsletters, product descriptions, or emails. Many companies post on social media one to three times a day. They generally post to their blogs at least once a week and usually create a weekly monthly newsletter.
That’s a lot of content to come up with. You’re looking at 52 in-depth articles a year, not counting guest posting. While social media posts are less work, it’s challenging to know what will go viral. Many companies employ a content team to deal with this increased need.
However, there’s always the issue of coming up with content ideas. In addition, creating content takes time away from other vital functions, like creating compelling visuals or building stronger relationships with clients.
How Generative AI Can Help
You can ask generative AI to create newsletters, emails, social media posts, and product descriptions. You can even repurpose content with AI to turn one piece of content into multiple. We’ll discuss that more later.
You need content that doesn’t necessarily need to impress search engines; you can ask AI to help. By using the right prompt, you can create compelling content that should convert. Furthermore, you can personalize it for different markets quite easily.
Why You Shouldn’t Use Generative AI for Blog Posts
Why don’t we recommend using AI to create blog posts? Do a little experiment quickly. Head over to ChatGPT and ask it to create a 1000-word article on whatever topic you like. If you read through it, it’s readable and uses good grammar. In truth, it’s better written than some of the schlock you’ll see online.
Now, look at it a little more critically. Do you notice how it repeats your key phrase in almost every paragraph? How it tends to use the passive rather than the active voice? Look at the sentence structure and how long it is. While the words flow relatively well, there are likely to be far too many of them. Finally, watch out for hyperbole.
In short, while the writing’s readable, it’s not good business writing. AI tends to use a lot of fluff and takes forever to get to the point with long-form content. In short, it’s too much work for the average reader.
Finally, AI tends to make assumptions and connections on little to no evidence. It sometimes makes intuitive leaps that don’t make any sense. In short, you need to check the content it creates carefully because it makes mistakes.
AI is Great for Brainstorming Ideas and Creating Outlines
That said, you can always ask AI to suggest topic ideas. It can create an editorial calendar and even come up with an outline for your posts. This saves your writing hours of effort by providing them with a useful template.
Optimization and Insights
Content creation is a big part of how generative AI can help marketers. However, there’s a lot more it can do. It can analyze data in real-time, allowing you to identify trends, threats, and areas for improvement.
You can ask AI to run a sentiment analysis to uncover trending topics to blog about. You can also ask the system to analyze email opening rates to discover the best times to send marketing blasts. AI can sort through data from various sources in next to no time, allowing you to make data-driven decisions.
Enhanced User Experience
This is one area away we’re quite accustomed to using AI. Most of us have seen or worked with chatbots in the past. Generative AI is up a notch due to its advanced natural language programming capabilities. Bots can now understand the context of a conversation, meaning that clients don’t have to use the exact phrasing.
Bots are also more capable of carrying on a conversation in a natural and engaging manner. This is useful for the marketer in that it can help customers with simple queries.
For example, a bot could check the stock of a particular item in the store.
It can also make recommendations based on that item. These might be products related to it or alternatives if it’s out of stock.
Say that a customer wants to buy a black sneaker. The bot could check that the item is in the store. It could then recommend socks or cleaning supplies to go with it. If it’s out of stock, it could show the customer a similar product.
The upside is that the customer gets what they need at a convenient time. They don’t have to go looking at your competitor’s site at all.
You can ask your chatbots to recommend products based on data from several systems. These could include sales histories, service tickets, and general account notes. It can use this information and the customer’s basic demographics to suggest suitable products.
You could also ask the bot to offer discounts if this would improve the chances of a sale.
Conclusion
Generative AI can be a powerful tool for businesses. It can streamline marketing processes and help companies engage with their customers better. If you take the time to train the algorithm properly, it’ll save you time and money while enhancing customer satisfaction.
