AI tools for marketing your business

Is AI right for your business?

Delve into the transformative power of Artificial Intelligence (AI) and explore how it's revolutionising the world of business, one algorithm at a time.

Since artificial intelligence (AI) leapt into the mainstream, debates have raged about its use. Countless articles pick over the benefits. And marketers look to the future with a mix of excitement and worry about what it means for their jobs.

Developments in AI race on. Just as we get to grips with one tool, another one pops up that blows it out of the water. It's an exciting time. And we've been curious to unpack how it can help with some of our processes.

It’s all about knowing how and when to use it. Don’t think of it as a shortcut or a way to replace a role.

Instead, view it as an assistant. Super keen to help you crack through some of the more mundane and tedious processes. So, you’re free to focus on the more creative, human side of your enterprise business.

Just so you know, a human wrote this. Sure, ChatGPT and other writing tools work wonders in the planning stages. But we can’t rely on it for a polished draft. Not yet.

So, what is Artificial Intelligence (AI), and what could it mean for your business? Let’s take a look…

What is generative AI?

Generative AI is artificial intelligence that produces content. So, we're talking pictures, text, graphics, audio, video and synthetic data.
 
Generate social media graphics in seconds. Whip up blog outlines with the click of a button. Instantly match the beats of an audio track with the jump cuts of a video.

Suddenly, processes that used to eat up half a day are done in half a minute.

It has huge potential for businesses to cut down time spent on parts of their content creation process. Generative AI can slash the time spent in the planning stages of a blog post, for example. So, the human writers can focus their energy on the more creative aspects.

What is machine learning?

Machine learning is the area of AI that uses data and algorithms to imitate human learning. It makes predictions and brings us insights that help businesses make better decisions.

Machine learning takes experiences and gradually learns by improving its accuracy over time. It uses data and pattern recognition to help inform future decisions.

Here are some real-world examples of machine learning at work:

How can AI benefit my enterprise business?

There's great potential for AI to transform the way you do business. But the field is vast. So it can be hard to know where to start. Let's look at a few ways it can help:

AI Generated Image

Brand consistency is key to building audience trust and loyalty. It creates a more enjoyable customer experience and helps your business stand out in a crowded market.

How can AI help with this? You can harness the power of AI to make for smoother customer relationships. Bots can handle low-level enquiries for quick response times. This speeds up useful information to customers. And your staff are free to get on with more creative and interesting tasks.

You can also use it to handle repetitive jobs. Think customer self-service, booking appointments, taking payments, and transcribing calls. This makes for fewer missed steps and a more enjoyable customer experience.

AI can take tedious and manual tasks off your hands. Not only can chatbots handle low-level customer service enquiries, but you can also use AI to optimise logistics. Saving you time and money on your deliveries.

The result? Higher customer satisfaction levels. Your staff will be happier too as you free them up from mundane less enjoyable jobs. 

From payroll slip-ups to issues booking sales calls, human error can cost your business big.

Weaving AI into your processes can help you avoid expensive mistakes. Wouldn’t you rather channel that saved money into growth and development instead?

AI can flag absent values in data input and analysis. It can also automate appointment bookings and reminders. And it can make sure no details are missing from meeting notes.

Personalisation is key to an enhanced customer experience. And this is where AI can use data to make accurate recommendations.

AI whizzes through huge amounts of your customer behaviour data in minutes. It then triggers automation, offering laser-focused, personalised experiences, services or products.

What are the challenges with using AI in my business?

The benefits of using AI in your business are clear and wide-ranging. But that's not to say it doesn't bring challenges. When you build AI into your business model, consider:

It can – and does – make mistakes. In fact, two recent studies from Stanford and Berkeley have shown that ChatGPT’s accuracy has actually gotten worse over time. Especially when used for creating lines of code. So, make sure you triple-check everything it chucks out.

You also need to make sure you’re not just copying and pasting its output word-for-word. Put your own spin on it. Adapt it for your audience and tone of voice. If you don’t, you could find yourself in hot water when it comes to plagiarism.

Ultimately, some things are still best left to the experts (that’s us!).

You also need to make sure you take time to learn how to use these tools.

Simply asking the tool to ‘write me a blog post on how to choose a university course’ will have disappointing results. You’ll get a very generic overview of how to choose what to study.

Whereas, if you craft a detailed prompt telling the tool that your target audience is nursing students who want to look at universities in the North of England, who are concerned with course quality, location, cost of living etc, you’ll get a much more useful result.

The best way is to start a conversation with the tool and train it with simple and clear prompts. You can do this in stages. Tell it a bit of background about your brand, the goals of the piece, and your target audience.

You can then layer information in with more prompts. And you can check its understanding as you go.

Generative AI gives the best results when its users understand how to use it. But beware that you have zero privacy with any of the information you feed it.

The tools have full freedom to use your data in training their AI. So don’t give it anything you wouldn’t be comfortable sharing on your website.

Authenticity is a huge concern for brands. People actually buy from people. They want to know there’s a soul behind the brand. That there’s a human connection.

Plus, some audiences don’t trust AI or just plain don’t like it. They’ll lose trust in a brand if it’s obvious their content isn’t created by humans.

And with written content, there are little tells that make AI-generated copy stand right out. And not in a good way.

One of the most common tells is Americanisms. Some generative AI tools are set to American spellings as default.

And if you’re not a US brand, this won’t be ideal. So do yourself a favour and make sure you edit everything. Make it align with your brand personality and tone of voice.

Poor-quality prompts are the best way to get impersonal and generic output. But even with the best prompts, these tools still fall short when compared with human writers.

They can be a good starting point, but it’s important to see them as just that. This might change as AI continues to advance, but right now, it will struggle to get your tone right.

The whole point of creating content is to bring value and entertainment to your reader. And you can’t do that with generic and bland content.

So, until it can mimic tone, weaving in your personality and stories, you’ll need to edit whatever it serves you up.

Few people know about the potential environmental impact of widespread AI use. But it’s worth considering.

Consider that training a single generative AI model consumes as much water as a person would in 27 years. 

Plus, the data centres, processors and other hardware used in AI infrastructure could account for 1-1.5% of total global electricity consumption.

Green issues are important to us here at Feel Created. While we’re happy to embrace AI for small tasks we’d never let it take over.

Reducing our impact on the environment is central to our work as a carbon-neutral creative digital agency.

We know that not all audiences trust AI. In fact, 62% of customers are less likely to trust content if they know it’s AI-produced. You need to understand how your audience feels about artificial intelligence before you steam in with full adoption.

Be picky with how you use AI and make sure you’re consistent. The last thing you want is to alienate your target audience with poor-quality, off-brand content. Remember your audience still needs to be at the forefront of all your business decisions.

How can my enterprise business use AI?

With so many AI tools and options available, it can be hard to know where to start. Here are just some of the options:

Gallery Image

If you use social media as part of your marketing strategy, you’re probably already using AI without even realising it. Following a platform’s posting suggestions based on trending topics or user engagement, for example.

Not only can you use AI to help you create the content for your email campaigns, you can also use it as part of your strategy.

Personalisation is key for email marketing best practice. And AI can help you segment your audience, automate your sequences and optimise send times for maximum return on investment.

You can use AI to categorise your audience, so you only send them the most relevant messages. For example, you can target your email subscribers by behaviour.

If they have abandoned a shopping cart, it can put them into an automated abandoned cart email sequence.

You can also segment your customers using other factors like demographics and interests.

We’ve touched on this earlier, but you can use AI to help you with the content-writing process for blogs, social media captions and web copy.

Like with anything, make sure you use it for specific phases of this process and never for a full and final draft. It still needs to sound like your brand for your audience to connect with it.

You can also use it to help you create social media assets like images and videos. Tools like Canva offer a free version and is a great place to start for speedy image and video creation.

You can also use AI to boost your website’s SEO (search engine optimisation).

AI-powered SEO tools understand search engine ranking factors. And they can crawl and analyse top-performing content in minutes.

They’ll then suggest the keywords you can weave into your written content to help it rank higher. These tools can also help you with building a backlinking strategy.

But if you’re not quite trusting of AI yet, then this is also something we can help with. Our team can advise you on the best SEO strategy for your business.

Will AI replace web developers?

In a word, no. AI is starting to creep into web development, but not for a full website build. It helps us streamline some of the more repetitive building and maintenance processes. But it's a long way from replacing us.
 
It takes a human to find more creative solutions and tailor a website created only for you and your audience. AI alone can't bring you a customised website for that high-end user experience.

Remember – websites built using artificial intelligence are used to train other AI. So, what you’re left with is a lot more of the same stuff with very little innovation. It takes expert human developers to create fresh websites and adapt to individual client aesthetics and tech needs.

AI won’t work collaboratively with you to find ways to reach your business goals. It doesn’t talk things through with you. It can’t workshop ideas and get to the heart of your audience’s needs and motivations.

It might be able to write code accurately (sometimes). But there are so many aspects of successful web design and development it can’t handle.

If you want a website that cuts through the noise and brings your audience a personalised experience that keeps them coming back, speak to our team today.

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