AI Is Changing Marketing. But Are Businesses Using It Properly?

AI is already changing the way businesses approach marketing. From researching audiences and developing campaigns to analysing performance and improving customer communications, there are more opportunities than ever to use technology to improve the way marketing works.

But there is a difference between using AI and getting real value from it.

Much of the conversation focuses on how quickly AI can produce content, automate tasks or generate ideas. These are useful applications, but they don't necessarily lead to better marketing or business growth.

Producing more content doesn't guarantee more leads. Launching more campaigns doesn't mean more sales. And saving time on a task doesn't automatically make the end result better.

For businesses, the real question is how AI can help them understand their customers, make better decisions and get more from their marketing investment.

Start with the marketing problem, not the technology

It's easy to get caught up in the latest AI tools and what they promise to deliver. But before introducing another platform or changing an existing process, businesses need to understand what they're trying to improve.

Is the challenge attracting the right audience? Converting website visitors into enquiries? Making the brand stand out in a crowded market? Or understanding why marketing activity isn't delivering the expected results?

These are the questions worth answering first.

AI can help explore different approaches, challenge existing assumptions and speed up research. It can also help marketers look at a problem from different angles before deciding how to tackle it.

However, it still needs direction. If the marketing strategy is unclear, the messaging is weak or the business doesn't understand its audience, AI won't fix those problems on its own.

In fact, it can make them harder to spot by producing work that looks polished but lacks substance.

The businesses that get the most from AI will be those that understand their objectives and know where the technology can make a meaningful difference.

Understanding customers is more valuable than producing more content

One of the biggest changes AI brings to marketing is the ability to work with information more efficiently.

Customer feedback, sales conversations, campaign results, website behaviour and market research can all provide useful insights. Yet these sources are often reviewed separately, meaning valuable information can be missed.

AI can help bring these insights together, identify recurring themes and highlight questions that deserve further investigation.

For example, analysing customer feedback might reveal that potential buyers are less concerned about price than they are about the time and effort involved in switching providers. That insight could influence the messaging on a website, the focus of an advertising campaign and the information included in a sales presentation.

The benefit isn't simply having more data. It's understanding what that data tells us about the people we're trying to reach.

Of course, AI-generated findings need to be checked against the original evidence. A pattern isn't necessarily proof, and a convincing explanation isn't always a correct one.

But used carefully, AI can help businesses get closer to what their customers actually want, rather than relying on assumptions about what they should want.

Better marketing starts with better questions

AI has made it easier to generate copy, campaign ideas, headlines and creative concepts. The challenge is that everyone now has access to similar capabilities.

When businesses use these tools in the same way, the results can become predictable. Content starts to sound alike, campaigns lose their individuality and brands struggle to communicate what makes them different.

The answer isn't to avoid AI. It's to use it more thoughtfully.

Rather than asking for another generic social media post, marketers can use AI to explore why customers choose one provider over another, identify common frustrations within an industry or develop different ways of explaining a product's value.

It can also help teams explore creative directions before committing time and budget to a campaign.

The quality of the result still depends on the quality of the brief, the information provided and the judgement applied to the output.

A business with a clear proposition, a strong understanding of its customers and a distinctive point of view has much more to work with than one simply asking AI to produce content at scale.

AI can help develop an idea, but it cannot replace the need for a good one.

Personalisation should be useful, not intrusive

Personalisation has been part of marketing for years, but it often amounts to little more than adding a first name to an email or dividing customers into broad categories.

AI creates opportunities to make communications more relevant to what people actually need.

Someone discovering a business for the first time may need a straightforward explanation of its services. Someone comparing suppliers may want case studies, evidence and a clear understanding of the differences between their options. A potential customer who has already spoken to a sales team may need answers to specific questions before making a decision.

Recognising these differences allows businesses to provide more useful information at each stage of the buying process.

AI can help develop variations of messaging, organise content around different customer needs and make these approaches easier to manage.

But personalisation shouldn't mean using every available piece of customer data. Businesses still need to respect privacy, handle information responsibly and avoid communications that feel intrusive.

The aim is to make marketing more relevant to the customer, not to demonstrate how much information a business has collected about them.

Connecting marketing activity to business results

Another opportunity lies in how businesses use information across their marketing and sales activities.

Campaign performance, customer feedback, website analytics and sales data can all tell part of the story. When these are considered in isolation, it becomes harder to understand what's working and what needs to change.

AI can help teams analyse these different sources, spot potential issues and investigate why particular campaigns or messages are performing better than others.

For example, a campaign might generate a high volume of enquiries but very few genuine sales opportunities. Rather than simply increasing the advertising budget, a business could investigate whether its targeting is too broad, its messaging attracts the wrong audience or the landing page sets unrealistic expectations.

Similarly, if website traffic is strong but enquiries remain low, the problem may lie in the proposition, the user experience or the way the business communicates its value.

AI can help investigate these questions, but the findings need to be considered alongside reliable data and commercial experience.

The important thing is to connect marketing activity to what the business is actually trying to achieve.

Saving time is useful. Improving lead quality, conversion rates, customer retention and revenue is much more meaningful.

Where the human element still matters

As AI becomes more widely available, access to the technology itself is unlikely to be what sets a business apart.

The difference will come from how well it understands its market, how clearly it communicates its value and how effectively it turns information into decisions.

Creativity, commercial awareness and customer understanding still matter. So does the ability to recognise when an idea isn't right for the brand, when a recommendation doesn't make sense or when a customer needs a human response.

AI can produce something that sounds convincing without it being accurate, appropriate or original. Content needs to be reviewed, facts need to be checked and sensitive information needs to be handled carefully.

Businesses also need clear guidelines on how their teams use AI, particularly when dealing with confidential information or customer data.

The objective shouldn't be to remove people from the marketing process. It should be to reduce unnecessary work and give them more time to focus on strategy, creative thinking and the decisions that influence results.

How should businesses approach AI in marketing?

There doesn't need to be a complicated transformation programme to start seeing benefits.

A sensible starting point is to identify a few areas where marketing could be improved and assess whether AI can help.

That might mean speeding up research, making better use of customer feedback, developing and testing different messages or reducing the time spent on repetitive administrative tasks.

From there, businesses should measure the impact.

Has the quality of the work improved? Are campaigns attracting better prospects? Are teams making decisions more quickly? Is more time being spent on activities that contribute to growth?

These are more useful measures than the amount of AI-generated content being produced or the number of tools a business has adopted.

It's also worth recognising that AI won't be the answer to every problem. Some processes need redesigning, some data needs improving and some challenges require a clearer strategy rather than another piece of technology.

The best approach is to test, learn and build on what demonstrably works.

Making AI work for growth

AI is becoming a normal part of marketing, and its role will continue to develop. Businesses that ignore its potential may miss opportunities to improve how they operate. Those that adopt it without a clear purpose risk spending time and money without seeing much return.

The opportunity lies between those extremes.

For Hero Growth, the focus should be on how AI can help businesses make better use of their marketing: understanding customers, sharpening their messaging, improving campaigns and making more informed decisions about where to invest.

That requires more than choosing the right tools. It means being clear about what the business wants to achieve and using technology in ways that support those goals.

AI can make many parts of marketing quicker and easier. But speed and output are only part of the equation.

What matters is whether the marketing is reaching the right people, communicating the right message and contributing to business growth.

That's the standard any investment in AI should be measured against.