I have personalised consumer experiences by using SEO tools to analyse data. I understood consumers' preferences through their purchasing history, wishlist, cart, and search records. We tailored our home page and created a section to showcase the products they were interested in. We presented their desired products with higher discounts to urge them to purchase the product with great deals. With personalised product recommendations, we could reach more consumers and foster loyalty. This resulted in increased sales and word-of-mouth publicity, enhancing brand image.
Most online brands we work with use machine learning algorithms to analyze the data and identify patterns of what products a customer is interested in based on their shopping behavior and preferences. They then show personalized product recommendations on various touchpoints such as the homepage, product pages, and during checkout. Nowadays, many brands are also becoming part of joint/group loyalty programs that allow them to join hands with fellow online brands and offer rewards/loyalty points to their customers collectively. This leads to higher redemptions of loyalty points as the rewards are much more exciting for customers as compared to single/solo loyalty programs.