Transform Customer Interactions and Boost Loyalty
Welcome to the latest edition of Strategic Marketing Insights!
In this edition, we focus on a powerful tool that continues to reshape customer interactions: AI-driven personalisation.
Learn how top brands are utilising artificial intelligence to fine-tune their marketing efforts, create deeper connections, and enhance customer loyalty. Dive into practical techniques and actionable insights that can boost your personalised marketing strategy to new heights.
5 WAYS TO USE AI TO PERSONALISE YOUR CUSTOMER EXPERIENCE
Marketers and business owners are always looking for innovative ways to connect with their audiences. In an age where customer experience reigns supreme, personalisation has become more than just a buzzword — it’s a necessity.
Research shows that a whopping 80% of consumers are more likely to buy from a company that offers personalised experiences, and 72% of them will only engage with personalised messaging.
Despite these compelling statistics, achieving personalisation at scale can be a daunting challenge, given the vast volume of consumer data and the need for real-time, individualised interactions. AI emerges as the superhero in this narrative — a formidable tool that can not only tackle personalization challenges but also open the door to creative approaches that delight customers and drive business growth.
So, how can businesses harness the power of AI to personalise customer experiences in truly novel ways?
1. AI-Powered Recommendations
Imagine a shopping experience that understands your preferences better than you do. That’s the promise and the power of AI-driven recommendation engines. They sift through mountains of past purchase data, browsing history, and contextual information to deliver uncannily spot-on product suggestions.
For instance, streaming services like Netflix and Spotify excel at this, offering you content that you’re likely to enjoy, sometimes even before you realise it yourself. With their complex algorithms, they have turned suggestions into one of their core user engagement strategies.
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Their recommendation engine, backed by AI, has become synonymous with content discovery. Their AI studies user behaviour and preferences, considering not only what they watch, but when, and for how long. This attention to detail ensures that every ‘Top Pick for You’ feels personally crafted to fit your habits.
But AI-powered recommendations are not just for entertainment — they can be adapted to any industry.
In e-commerce, for example, clothing brands could use a customer’s purchase history and body type measurements to recommend custom outfits, while grocery stores can generate personalised meal plans based on dietary preferences and shopping behaviour.
The key to a successful recommendation system is accuracy, timeliness, and — most importantly — transparency. Customers want to understand why a certain product is being recommended to them, so make sure your algorithms are not a black box.
Actionable Insights for Your Business
To implement AI-powered recommendations, start by collecting rich data on customer interactions, and opt for a machine learning model that can adapt to new data and make real-time suggestions. Ensure your recommendations are seamlessly integrated into your customer’s experience and monitor their effectiveness with key performance indicators like click-through rates and conversion rates.
Our expert team is experienced in helping marketing teams implement new technologies like AI into their strategies. Get in touch to find out how we can help you leverage these tools effectively.
At SK, we work with businesses across the world from start-ups to global corporations to solve their strategic marketing challenges. Our clients need support with delivering sales, launching businesses, entering new markets, developing content strategies, reinvigorating growth, investment journeys, search visibility, social strategy and many more challenges.
To discover how we’re helping businesses worldwide develop leading marketing strategies, contact us – we would be delighted to assist.