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Posted On 03 Jul 2024
Venetia Hillary

In our age of abundant information across multiple platforms, it is challenging to cut through the noise to get the attention of your ideal customers. Generic messaging has never been great for building loyal customers and raving fans, and it definitely doesn’t cut it anymore. People appreciate personalised experiences that appeal to their needs and interests. 79% of Australian consumers say personalised experiences increase brand loyalty and spending. Now, AI-driven marketing techniques can help you create this far more easily.

Let’s examine how you can use highly targeted, engaging, and personalised marketing with AI to boost your campaign engagement and conversion rates.

Meeting Customers Where They Are

AI is like an engine that can create personalised marketing campaigns at scale. The vast amount of data it can analyse quickly reveals your customers’ preferences, purchase history, and online behaviour, allowing you to really get to know them.

You can then segment these groups based on behaviours, interests, and purchase tendencies for personalised content beyond demographics like age or location. Using the custom data, you can create groups and messaging and offers specific to them.

For example, an online fashion retailer might use AI to analyse customer browsing behaviour and purchase history to identify trends and recommend complementary items to each customer. Similarly, a local bookstore can leverage AI-analysed customer purchase history. It can also use loyalty program information to find avid readers of specific genres. Then, it can send them recommendations for new releases or author events.

AI can also use the data to predict future actions, enabling you to send relevant marketing messages at opportune times. People are far less likely to unsubscribe and return to spend with you when information and promotions meet their interests and goals.

Almost all (95%) of Australian businesses leverage personalised marketing with AI to create more targeted marketing efforts.

Enhancing Customer Experience with AI

Recommendation engines focus on suggesting specific products a customer might be interested in based on their past purchases, browsing history, abandoned carts, etc. They suggest relevant products customers might miss. This can lead to increased sales and it makes the customer experience easier and more enjoyable.

Dynamic content generation personalises the overall content a customer sees. It includes product recommendations and general website elements like banners, headlines, or product listings. It grabs customers’ attention with relevant offers. This leads to higher engagement and makes them feel valued. It shows products they’re interested in.

Predictive modelling in marketing or lead scoring uses AI-gathered data on potential customers through website visits and social media engagement. It assigns a “score” that indicates buying likelihood. You can focus on hot leads where sales are more likely. Send nurture sequence and educational emails to those with lower scores.

AI-Powered Marketing Considerations

AI algorithms rely on clean, accurate data to provide appropriate recommendations and relevant content. Businesses must also ensure customer data is collected and used ethically and in compliance with data privacy regulations.

AI is an incredible tool, but it’s not a silver bullet and should be integrated with your existing marketing strategy, company values and human expertise for truly outstanding results.

If you’re ready to discuss how we can help you design AI-driven marketing techniques that fuel your business growth, contact us today at info@oracletree.com

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