As an ecommerce professional, you understand the value of giving your clients a personalised experience because you are a leader in e-commerce. Personalisation can increase sales, foster customer loyalty, and enhance the entire purchasing experience. However, are you fully utilising personalised product recommendations?

Sure, we’ve all seen the “Customers who bought this also bought” section on product pages. It’s a classic tactic that has been used for years to encourage additional purchases. But if you want to take your personalisation game to the next level, it’s time to go beyond the basics.

So how do you formulate personalised product suggestions that your customers will actually find appealing? Here are some pointers to get you going:

Use AI to its full potential.

Artificial intelligence (AI) has revolutionised the world of ecommerce personalisation. By using machine learning algorithms, AI can analyse customer behaviour and preferences to deliver truly personalised recommendations. Consider investing in an AI-powered recommendation engine to take your personalisation efforts to the next level.

Get creative with your recommendation placements.

Sure, the “Customers who bought this also bought” section is a tried and true method, but don’t be afraid to get creative with your recommendation placements. Consider adding personalised recommendations to your homepage, category pages, and even your checkout page. The more opportunities you give your customers to discover new products they’ll love, the better.

Consider customer context.

Personalisation is more than just making product recommendations based on prior behaviour. It’s also about taking into account the customer’s current context. A good example is, if a visitor is browsing your site from a mobile device, you might want to recommend products that are more likely to be purchased on-the-go as impulse buys.

Use social proof

Social proof is a powerful behavioural-science motivator when it comes to purchasing decisions. Consider adding social proof elements to your personalised recommendations, such as reviews, ratings, or even user-generated content. Seeing that other customers have purchased and enjoyed a recommended product can be a powerful incentive to make a purchase.

Don’t forget the human touch

Finally, don’t forget that personalisation isn’t just about algorithms and data. Adding a human touch to your personalised product recommendations can go a long way in building a connection with your customers and drive value for your website. Consider adding a personalised note or recommendation from an member of your team to show your visitors that you truly care about their experience.

In conclusion, creating personalised product recommendations is a powerful way to boost sales and improve the overall shopping experience for your customers. By leveraging the power of AI, getting creative with your placements, considering customer context, using social proof, and adding a human touch, you can take your personalisation efforts to the next level. So, what are you waiting for? Start creating personalised recommendations today and watch your sales (and average order values) grow.

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