The good news: there are several ways that marketers can leverage the technology to remove the drudgery from their plates without sacrificing their creative strengths. After all, efficiency is all about identifying the bottlenecks in your process and using the tools at your disposal to smooth them over. With that in mind, here are seven ways AI can help boost your marketing efforts outside of content creation.

1. Content recommendations

Personalised content or product recommendations are a great way to engage visitors and boost conversion rates, but manually choosing related content is inefficient and cumbersome.

AI tools can automate this, offering real-time recommendations based on a user’s past behaviour, interests, preferences and interactions with your company across multiple channels. Streaming platforms like Netflix and Disney+ are excellent examples of this use case: their algorithm analyses your behaviour on the platform to offer suggestions and alert you to new releases you might be interested in.

2. Paid advertising

Paid advertising on search engines and social media can be incredibly demanding: there are mountains of data to analyse, ad variations to test and platform updates to track. Humans can quickly get overwhelmed by all this, especially if you’re running multiple campaigns at the same time.

But AI tools can easily handle the heavy lifting here: it can process real-time data to optimise bidding strategies, reallocate budget to more successful campaigns and channels, automatically tweak the copy and keywords to improve performance, predict campaign outcomes in advance and more.

As an example, investment firm Vanguard used AI to personalise LinkedIn ads and test them at scale to improve reach and performance, seeing a 15% increase in conversion rates.

3. Email personalisation

Personalisation is a must in email marketing. Studies show that personalised emails have a 29% higher open rate and a 41% higher click-through rate compared to non-personalised ones.

However, deep personalisation can be hard to achieve at scale, especially for smaller teams. AI can make quick work of it, though: modern email marketing tools like Mailchimp often leverage AI to analyse performance, enhance workflows, personalise subject lines, implement audience segmentation, perform A/B testing and automatically include relevant recommendations on products or content.

4. Social media automation

Even the most dedicated social media managers have better things to do than manually draft and schedule hundreds of posts each week. AI-powered social media tools like Buffer or Sprout Social can fill up your content calendar months in advance, freeing up time for strategising and crafting high-impact, thoughtful content. Just make sure to review everything before it goes out to avoid any mistakes or gaffes.

AI can also help you stay on top of trends and monitor public sentiment about your brand on social media, as well as flag recurring feedback, complaints or frustrations so the customer support team can respond promptly.

5. Data analysis

Sifting through endless data to glean insights can be a literal headache for many marketers. As a decidedly right-brained person, this was by far my least favourite part of the job.

AI excels at analysing large quantities of data and providing an actionable summary with main takeaways, recommendations, and action points. It can also look at historical data to forecast future outcomes and improve decision-making. For instance, it can earmark customers at risk of churning, identify high-intent leads, and pinpoint the dates and times when the audience is most likely to interact with you by email or social media.

6. SEO

In some ways, AI can present a challenge for SEO managers. According to Ahrefs, Google’s AI overview feature led to an average decrease of 34.5% in click-through rates from organic searches. In addition, featuring too much AI-generated content on your website can negatively affect your ranking and traffic, as search engines tend to prioritise high-quality, original material.

But when used right, AI tools can help marketers and specialists automate the more time-consuming parts of their jobs. Specialised SEO tools with AI features, like Semrush and Ahrefs, can improve keyword searches, conduct an SEO audit of your entire website, analyse search trends, create meta tags and headings, automatically add image alt texts and more.

7. Chatbots and virtual assistants

Chatbots are a staple in digital customer interactions in 2025. One recent survey discovered that roughly 60% of B2B and 42% of B2C companies use chatbot software to automate customer service, improve overall customer experience and be available 24/7 across several channels.

But chatbots aren’t just helpful for customer support. They can also automate lead generation, route high-quality leads to the right teams, segment traffic and gather insights about customer pain points, needs and preferences – data that can make all the difference for impactful, high-performing marketing campaigns.

Conclusion

While AI can be useful for handling tedious, repetitive tasks and for processing large volumes of data, these tools are most powerful in the hands of a human with expertise and institutional knowledge. Ironically, it’s often through thoughtful, monotonous work that we build that expertise and understanding in the first place. The goal isn’t to automate your role to the point where you become a bystander in your own job, but to free up time for reflection and deep thought. After all, a key part of creative work is having the time to sit, think and engage meaningfully with your craft – so resist the temptation to outsource your creative and analytical thinking to AI.