Retail personalisation means adjusting what a customer sees or receives based on who they are and how they behave. That can be a homepage showing categories they usually browse, an email featuring their favourite brands, or a loyalty offer built around their last few visits.
It relies on joining up customer data from the POS, website, app and loyalty program, often in a customer data platform. Rules and machine learning models then decide which message, product or offer suits each person, and update as new behaviour comes in.
Retailers personalise emails, app content, website banners, search results and in-store offers delivered at the till. Restaurants and venues use order history to remember favourite orders, greet repeat guests or send a birthday reward. Done well it lifts conversion, repeat visits and customer lifetime value.
The common pitfalls are poor data quality, duplicate customer records and going too far. Offers that feel intrusive can reduce trust, so be transparent about what you collect and follow the Privacy Act and the Spam Act. Start with a few simple segments and measure results before adding complexity.
Personalisation is only as good as the customer identification behind it, which is why loyalty programs and a single customer view matter. Measure success by repeat purchase rate and revenue per customer, not just email opens, so you know whether the effort is paying off.